CHAPTER 1: INTRODUCTION
1.1 GREEN HOUSE EFFECT:
Increasing world population at an exponential rate has demanded resources to meet
their basic life necessities like food, water, energy, buildings and transportation. One
of the largest consumers of primary energy demands is the buildings, since 90% of the
time people stay insides. The buildings are mainly residential, office, industrial, sports
and commercial, where most of the time people stay in. Moreover, Industrial
revolution and shift to closed envelope modern construction trends has increased the
demand to maintain IEQ. Due to the occupant needs, building’s internal and external
energy requirements for lighting, heating, cooling, ventilation, water supply, drainage;
an electrical energy produced by burning fossil fuel is required. Fossil fuel based
electrical energy generation produces CO2 emissions as a combustion by-product.
Aldossary, et al (2013).
According to strong scientific evidence, agreed upon by climate change experts that
the earth is warming. Various authentic and scientifically proven literatures, field tests
carried out on decades on various global locations has warned on climate change
occurrence and is caused by human activity. The impacts of global warming have
been started although the seriously damaging effects will be experienced in the
decades ahead. Cars, power plants, heating & cooling, industrial and other human
activities are the primary source responsible for greenhouse gas emissions. The
primary source of global energy needs is dependent on fossil fuels and due to the
combustion of fossil fuels, atmospheric concentration of carbon dioxide (CO2), the
principal human-produced greenhouse gas (GHGs), are at a level unequaled for at
least 800,000 years (C2ES, 2011). GHGs are stocked in the earth’s atmosphere,
trapping sun’s heat instead of allowing escape to space. This action of heat absorption
in the surface causes warming. Average global temperature over a period of the last
century has risen to almost 0.833 OC (1.5 OF) and arctic has warmed twice. In
addition to this, warming of oceans within 1000 feet of the surface has also been
recorded. Average Global surface warming and ocean heat content variation is shown
in graphical view in Figure 1.1.
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Figure1.1: Global Warming Trend and ocean heat content change in upper 2,300 feet.
(C2ES, 2011)
It is worth noting here that carbon di-oxide and other greenhouse gases trap the sun’s
heat in-order-to keep the planet livable but the increased rate of such gases due to
human activities during and past the industrial revolution has added a significant
quantity of GHGs, responsible to amplify the greenhouse effect. According to the
available data CO2 concentration has increased 40% compared to pre-industrial era in
addition to other GHGs, which is also significant, quantitatively. Global warming
effect is very much visible as record level melting of polar ice and glacier retreat
globally is observed. Figure 1.2 shows the natural greenhouse effect and enhanced
greenhouse effect.
Figure 1.2: Natural and Enhanced Green House Effect. (C2ES, 2011)
Natural greenhouse effect is a mandatory component of the natural environment to
provide the essential amount of heat required for healthy growth of life on the planet
whereas the enhanced greenhouse portion of the figure 1.2 simulates the prevailing
conditions caused due to human activity in the form of industrial revolution.
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Amongst other GHG emissions, CO2 gas emissions are vital threat to destabilizing
atmospheric conditions. Table 1.1 depicts regionally global CO2 emissions, and it
shows two-folds increase in four decades. (Khan, et al, 2013).
Table 1.1: Average annual carbon dioxide emissions in Million Tones. (Khan, et al,
2013).
1.2 GLOBAL WARMING:
Climate change has seen gradual variations in temperature shift causing hot zones for
larger air-conditioning systems and cooler zones with reduced heating system.
Papakostas, K.T., et al (2013) has carried out research study on climate change effects
on cooling and heating degree days, where the team finds significant changes in
design temperatures over time. The 10 year research study results are compared with
previous decade results. Two cities of Greece; Athens and Thessaloniki are studied in
this research The results show that the monthly average dry bulb temperatures and the
annual average cooling degree-days of the 1993-2002 decade are increased, compared
to those of the 1983-1992 decade, while the corresponding annual average heating
degree-days are reduced”, as said by Papakostas, 2013.
Table 1.2: Mean monthly ambient temperature for Athens and Thessaloniki for two
decades. (IJEE, 2013)
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The variations in the mean monthly ambient temperature shown in table 1.2 for
Athens and Thessaloniki for two decades is the clear indication towards global
warming.
Figure 1.3: Mean average temperature of 1983-1992 and 1993-2002 decades for
Athens and Thessaloniki. (IJEE, 2013)
It is worth noting that the temperature profile variations as seen in table 1.2 and
figure 1.3 are based on actual continuous field measurements over the period of 20
years, a period considerably long enough to ensure dependence.
1.3 GLOBAL WARMING IMPACT:
Exceeding the surface temperature beyond the level of natural greenhouse
temperatures is the enhanced greenhouse effect, responds in temperature profile
variations causing the shift in weather patterns, changes in precipitation pattern &
quality, agricultural production, glacier melting, sea level rise, disturbance of coastal
life, extinction of species and adaptation, storms and hurricanes, etc. These are the
associated outcomes of enhanced greenhouse effect which may be the further cause of
amplification in disease spreading bacteria and further unaffordable and irreparable
loss to the climate in general and the planet in particular. Table 1.3 projects the
impacts of a climate change on various sectors such as coastal flooding, sea-level rise,
hurricanes, flooding, intense precipitation, intense heat waves, drought, wildfires,
decreased snow and more intense winter storms within U.S.
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Table 1.3: Sample of projected U.S Regional climate impacts. (C2ES, 2011)
1.4 GHG EMISSIONS AND FOSSIL FUEL:
In the United States alone 35% of GHG emissions were produced by the electricity
producing sector, primarily CO2 from fossil fuel combustion. The electricity produced
is used in the building industry in lighting, heating, cooling and power the appliances.
The pie chart shown in figure 1.4 (a) and (b) depicts the clear picture of GHG
emissions in U.S during 2008, both the source and end-use sector. Analyzing end-use
sector, the buildings produce 38%, industries contribute 27% whereas transportation
also is responsible for 27% GHG emissions.
Figure 1.4: US Greenhouse Gas Emissions, 2008. (C2ES, 2011)
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1.5 FOSSIL FUEL CONSUMPTION: MIDDLE EAST AND WORLD:
Majority of world energy demands are met by burning fossil fuels while performing
internal or external combustion to light, heat, cool and to fulfill transportation
demands.
Figure 1.5: Fossil Fuel Energy Consumption (% of total). (The World Bank, 2011)
Graphical presentation in figure 1.5 shows fossil fuel energy consumption in the form
of percentage of total energy by the World, United States of America, United
Kingdom, United Arab Emirates and Kingdom of Saudi Arabia. The world average
dependence on fossil fuel based energy from 2003 to 2011 has been at a flat ratio of
above 80% approximately, whereas UAE and Saudi Arabia has even crossed the
100% of total compared to World, UK and USA consumption. (The World Bank,
2011). Total primary energy supply of the world as shown in figure 1.6 (1971 to
2010) is derived mainly from fossil fuels.
Figure 1.6: World total primary energy supply from 1971 to 2010 by fuel (Mtoe). (IEA, 2012)
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Fossil fuels have been a driving force in energy production to meet world energy
demand. Proportionately oil is a major component in meeting the energy demand,
whereas coal and natural gas are the second most serving components of primary
energy needs. Biofuels and waste, Nuclear and Hydro are the followers to meet the
rest of the energy demand.
1.6 GHG EMISSIONS AND GLOBAL WARMING RELATIONSHIP:
Records has shown in the rise of Earth’s average temperature by 1.4 degrees
Fahrenheit over the past century and is estimated to rise by 2 to 11.5 degrees
Fahrenheit in the coming hundred years. Such small to medium changes in the
average temperature of the Earth could bring a devastating and catastrophic shift in
the climate and weather. During the recent past, various global places have observed
changes in rainfall patterns, inviting more floods, droughts or powerful rains and
sever heat waves. Some more noticeable big changes are the melting of glaciers,
acidification and warming of oceans, melting of ice caps and rise in sea levels. The
outcomes of these serious changes are impacting on the society, economy, and the
environment of the planet Earth. Over the past two centuries, CO2 and GHG
emissions are continuously dumped into the atmosphere by human activities. Burning
of fossil fuels contribute largely in producing GHG gases, however, other human
activities like deforestation, industrial and agricultural activities also emit some
amount of GHG gases. Figure 1.7 shows
Figure 1.7: Global fossil carbon emission by fuel type, 1800 – 2007. (Wikipedia,
2007)
the total CO2 emissions level has attained a record 9 billion metric tons every year
during year 2007, along with the contribution of other types of fossil fuels.
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Human physique is adapted to stable climate throughout the centuries and after the
last ice age. Rising surface temperatures due to greenhouse effect, warm the climate
thus impacting on water supplies, agricultural production, forests, power,
transportation, natural environment, ecosystem and health and safety of all living
species. It is worth noting and infact a serious cause of concern that carbon di-oxide
(CO2) can stay approximately a century in the upper atmosphere and the planet Earth
will keep on warming until the same period. Increased warming intensity shall in
return intensify the severe damage to the changing climate and weather patterns.
Therefore, the most vulnerable to such changes to the climate is human being itself
since other species can adapt to global climatic changes and some of them might even
vanish. Human being as a driving force of the climatic changes with the authority on
cutting down the GHG emissions can do a lot to minimize the impacts by reducing the
production of anti-environment activities and GHG gases emissions. (USEPA, 2012)
1.7 Energy consumed by building HVAC system:
Cooling, heating and dehumidification of outdoor air depends on the building
envelope and construction type. For example buildings in temperate climate countries
like Britain are not so air tight and are leaky whereas Scandinavian countries are in
cold climate and Middle Eastern countries are in hot and humid climate. The
buildings constructed in later countries are air tight and no air infiltration occurs due
to their air tight quality. Moreover, natural ventilation is not allowed in these
countries, since the Scandinavian countries needs to be air tight for indoors to be
warmer and to save heating energy to escape. Whereas Middle Eastern Counties are
also required to be air tight to store cooling energy and to reduce exponential energy
penalty. Heating, humidification and Cooling, dehumidification does not reduce the
level of contamination or odour produced by occupants and indoor materials used. To
dilute the contaminants generated by construction material, appliances and the
occupancies it is required to introduce outdoor air. Untreated outdoor air cannot be
accepted indoors due to unacceptable air quality. In colder climates outdoor air is
heated and humidified whereas in hot & humid climates it is cooled and dehumidified.
Treating the outdoor air therefore, requires energy penalty.
Energy used on cooling and heating of outdoor air in office buildings is over 30% of
annual energy consumption, revealed by one of the study. However, the consumed
energy fraction towards over-all energy consumption by the buildings is
approximately 40%-50% as per the energy consumption data of EU buildings. This
fraction includes energy consumption by all services like cooling, heating, ventilating,
lighting, water supply, drainage, firefighting, indoor appliances and other internal and
building related external components. Hence it is noteworthy to record that major
fraction of energy consumed is taken by heating and cooling of outdoor air and that
stands to 30% approximately.
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1.8 STUDY RATIONALE:
This study focusses on energy conservation adapting CO2-based demand controlled
ventilation and maintaining indoor environmental air quality. Detailed evaluation
shall be based on base case model or the business as usual with constant supply of
outside air in the space throughout the day, ventilation strategy in compliance with
ASHRAE standard 62.1-2010 and working profiles as recommended by ASHRAE
standard 90.1-2007 and CO2-based demand controlled ventilation in compliance with
ASHRAE 62.1-2007 and working profiles as per ASHRAE standard 90.1-2007.
Comparison between all the cases shall be made to analyze the difference in
capacities, seasonal and annual energy consumption / energy conservation, GHG’s
reduction. This study mainly focuses on UAE and Middle Eastern environment. The
research studies and papers written are mainly on Malaysia, Singapore, Thailand and
US, whereas UAE and Middle East is rarely considered. Middle East particularly
UAE has seen huge constructions in industrial, residential and commercial buildings
with the business as usual design strategies. The kind of design and construction
practice in Middle Eastern region has consumed and still consuming lot of electricity
to cool the indoor spaces. HVAC as concluded through research papers consumes
approximately 70% of electrical energy required by all building services. Ventilation
designed in majority of buildings is based on full occupancy round the clock, whereas
the fact is inverse. Occupancy throughout the day modulates between 20 to 100%
depending on building type and activity. Carbon di-oxide is known as surrogate gas to
predict the occupancy levels and therefore, is the trusted gas to decide on population
intensity in an enclosed space. Changing occupancy levels directs the ventilation
quantity which in return effects on energy consumption. Hence the study shall be
beneficial in reducing energy consumption and CO2 levels in UAE and Middle East.
Economic aspects, energy conservations, financial benefits both on first cost and
operational cost shall be considered.
1.9 DISSERTATION OUTLINE:
This dissertation contains six chapters in total. Each chapter of the dissertation is
summarized as;
Chapter One (1): The first part, chapter one sheds light on global energy resources,
energy exploitation, power consumption by different sectors, GHG emissions by enduse sector and by source, fossil fuel consumption globally and Middle East, global
warming, temperature variations, changing pattern in heating and cooling degree
days, harmful effects of global warming on world economy, Energy consumed by
buildings, global HVAC energy and building industry relationship. The last part of
this chapter focusses on study rationale and potential of abatement in GHG emissions.
Chapter Two (2): This part of the dissertation contains on literature review on demand
controlled ventilation. Types of ventilation system, demand controlled ventilation
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types, relationship between indoor air quality and ventilation demand, ventilation and
health, ventilation and perceived IAQ, energy consumed by building HVAC system,
ventilation needs and ventilation energy requirements, why only demand controlled
ventilation in Middle East particularly UAE, ASHRAE standards 62.1 and its history
of evolution. The last part of this chapter speaks about dissertation aims and
objectives.
Chapter Three (3): This chapter talks about research methodology which includes
research parameters. Types of research methodologies used in different research
studies are discussed. Observational research i.e., field monitoring method,
experimental studies and simulation studies with onsite validation. Description of
research methodologies, comparison, feasibility and selection of one method is
discussed. Chosen simulation software, software components, capabilities,
operability, accuracy, adaptability, usability and inter-operability is discussed.
Chapter Four (4): This chapter is about simulation model. The building considered for
demand controlled ventilation study is described here in terms of architecture,
selected architecture plans, building model finishes, Ventilation system description,
financial impact study analysis, modelling process, model validation, heat load and
simulation parameters, simulation case configuration.
Chapter Five (5):This chapter is about technical results and discussions, which
includes Simulation runs, simulation data analysis. base case assessment, Ventilation
assessment as per ASHRAE 62.1-2010, CO2-based DCV system assessment, energy
cost based on base case, ASHRAE 62.1-2010 case with CO2-based DCV, savings
achieved, GHG emissions reduction, Discussions and achievements.
Chapter Seven (6): This is the last chapter of the research study which is about
conclusion, recommendations and further work.
1.10
AIMS AND OBJECTIVES
The aims and objectives of this dissertation are to analyze the conventional design
trend in building HVAC industry in terms of ventilation strategy, the energy
consumed by higher amounts of hot and humid air to cool, dehumidify and use
mechanical power to deliver to the end use. Occupancy profile in residential, hotel
accommodation, restaurants, offices, and gymnasium are variable throughout the day.
Supplying outside air at constant airflow rate round the clock puts huge energy
penalty, puts reliability doubtful, increases maintenance cost etc. Following are the
detailed points which shall be studied in depth, evaluated technically and
economically.
Additionally advantages and disadvantages shall be discussed on “Business As Usual
Case” practice of ventilation design strategy, the waste of resources, indoor
environmental condition, energy penalty, system sizing and CO2 emissions. The
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similar analysis on another case of ventilation design strategy with the use of
ASHRAE standard 62.1-2010 recommended ventilation rates shall be performed.
Final recommended case of CO2-based demand controlled ventilation shall be applied
and evaluation to be done accordingly on energy savings, HVAC system size
reduction, savings in upfront cost, operation and maintenance benefits and reductions
in CO2 emissions achieved by the use of DCV strategy. Focus shall be made on
common understanding by designers on ASHRAE 62.1-2007. Following are the key
points shall be focused in this research study;

Ventilation flow rates or outside air volume shall be collected from the
“building under study” HVAC design drawings to take the higher amounts of
outside air limiting space CO2 concentration to 800 PPM in both the cases
such as Baseline Case and Proposed case. Constant working profile
throughout the day on the spaces under analysis shall be used, and other
internal sensible and latent heat gains shall be kept constant in the entire
model and in all cases. Simulation shall be run to calculate the energy
consumed, total coil load, CO2 emissions and over-all HVAC system size.

Another case with ASHRAE standard 62.1-2010 recommended outside air
volume with respect to occupant density and floor area shall be used, keeping
all internal and external heat gain sources matching with “Business As Usual”
or Baseline Case. The change applied is only in Ventilation rates. Simulation
outputs shall be evaluated and analyzed in comparison with “Business As
Usual” or Baseline case and a comparison shall be generated for thermal
energy consumed, electrical energy consumed, HVAC equipment sizing, CO2
emissions and energy savings.

A focus shall be made on application of ASHRAE standard 62.1-2010 in hot
and humid climate and its effects on occupant health and energy consumption.
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CHAPTER 2: LITERATURE REVIEW
2.1 BACKGROUND
The potential of energy savings using demand controlled ventilation is enormous in
countries located in hot and humid climatic zone. Rapid urbanization and
industrialization, regional, sub-regional and global migration to resource rich Middle
East particularly UAE, Qatar, Kingdom of Saudi Arabia, Kuwait, Oman and Bahrain
is attracting world population to relocate for job hunt. As mentioned above, selected
Middle Eastern countries have seen new construction projects to meet the growing
housing demands, commercial, industrial, hospitality units, schools, hospitals etc.
Energy is required to light, power and air-condition these buildings. Building
consumes 40% of total energy produced whereas HVAC only consumes
approximately 70% of total building energy consumed. Therefore, there is a huge
potential in reducing energy consumed by HVAC system. Majority of buildings
designed and constructed globally particularly Middle East during past four decades
are based either on old ASHRAE standards calling for higher airflow rates and HVAC
system selected for constant air volume or with no specific guidelines taken from
ASHRAE standards due to non-availability of government policies and regulations.
However, the current global and Middle East countries scenario is changed and
policies are shifted towards sustainable growth and investment. Dubai Municipality
follows LEED system of USGBC, Abu Dhabi Urban Planning Council follows
ESTIDAMA, Qatar follows QSAS. Therefore, majority of Middle Eastern countries
follow some or other kind of system for sustainable construction in the region.
ESTIDAMA is made mandatory for all buildings under construction and design to
achieve one pearl and two pearls for private and public sector buildings respectively.
The focus of these systems is mainly on energy and water conservation. The potential
on reducing electrical energy used for cooling, dehumidifying and maintaining IEQ is
higher. The outside air during hot and humid months of summer reaches to 52 OC
(Design temperature is 46 OC) and huge electrical energy is required to cool,
dehumidify and filter the hot, humid and sand laden ambient air. Demand Controlled
Ventilation using occupancy sensors or CO2-based sensors is an effective method of
modulating ambient air to dilute and expel the pollutants and to reduce energy
penalties. This research study will focus on CO2-based demand controlled ventilation
in Dubai, UAE and investigate its feasibility on techno-economic analysis of the
system.
2.2 Types of ventilation:
There are multiple types of ventilation, ventilation systems adapted globally
depending on environmental and economic factors. Zones with cold and temperate
climate are using natural ventilation depending on ambient conditions prevailed at
that particular time of the year or with the mixed mode operation. There are various
types of ventilation, amongst few are discussed here in the coming section.
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2.2.1 Natural Ventilation:
Natural ventilation is the trend of air exchange widely used in old architectures,
however, the same with enhanced concept is also being used in modern constructions
due to a shift of mankind to nature mainly adapting nature for reducing carbon foot
print, saving the environment from further pollution, getting economic benefits and
creating a livable indoors close to nature. Natural ventilation is defined as the free
movement of air from higher to lower pressure and temperature difference. Outdoor
air available in moderate climates is cold and freely available. It therefore becomes
rational to use free cooling during the transition months and specifically low ambient
conditions favorable to indoor climatic conditions for thermal comfort, however,
natural ventilation becomes uncontrollable compared to mechanical ventilation
system. But the later puts huge energy penalty when larger airflow rates are required
for cooling when the indoor / outdoor temperature difference is considerably smaller.
(Stabat, P., et al, 2012).
2.2.2
Single-sided Ventilation:
“This is mainly driven by wind turbulence near the opening. It accommodates readily
to most office building layout provided that the depth of the rooms is less than twice
the room height”, states Ohba, M., et al (2010). Natural single sided ventilation as
shown in Figure 2.1 is recommended to be used in temperate climates in properly
designed buildings to cool the space with naturally available cold air.
Figure 2.1: Illustration of Natural Single-sided
Environmental Design Solutions Limited, UK (2011)
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Ventilation.
Courtesy of
To maintain the indoor air quality, outside air is introduced into the space using the
single-sided ventilation techniques to repel and reduce indoor pollutants and to
maintain thermal comfort level, states Rahimi, M., et al (2011). This technique can be
further combined with mixed mode of ventilation system when single-sided
ventilation strategy is unable to meet the space cooling requirements. There are two
main drivers of single-sided ventilation; the thermal buoyancy effect and wind effect.
2.2.3
Cross-Ventilation:
“This is usually wind driven. It requires air flows on one side of the building and
flows out on the other side through – for instance – windows or doors. The rule-ofthumb recommends a maximum distance between the two facades of five times the
floor to ceiling height” states, Ohba, M., et al (2010). Natural Cross-ventilation as
shown in Figure 2.2 is an effective technique used in passive design and is an
alternative used in the architectural design to eliminate or reduce the dependence on
mechanical ventilation and air-conditioning systems, argues Hassan, A.H., et al,
(2010).
Figure 2.2: Illustration of Natural Cross-Ventilation. Courtesy of Texas Technical
College of Architecture, USA (2011)
Research study conducted by Lo, L.J., et al (2011) on natural cross ventilation for
internal flow direction and eddy driven (oppose to prevailing wind driven) cross
ventilation as well concludes on benefits of using cross-ventilation using CFD
analysis. Cross-ventilation provides higher efficiency in maintaining the indoor
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temperatures but it becomes difficult to implement in office buildings due to fire,
security, control of air movement and privacy concerns.
2.2.4
Stack Ventilation:
“This is driven by density differences between cool and warm air. The outdoor air is
drawn across the building and then is extracted through a vertical flow path such as an
atrium, stairwell or chimney” states, Ohba, M., et al (2010). Natural stack ventilation
is caused by thermal buoyancy and is considered a successful strategy to induce the
air movement to go vertically upwards thus causing the suction force to exhaust hot
and stale air out from the building. This strategy is further recommended to be used
and is proven effective when used in deep plan buildings and the buildings located in
densely built environment.
Wind driven stack ventilation and solar assisted or solar induced stack ventilation are
two major and important types of stack ventilation. Stack-ventilation as shown in
Figure 2.3, is mostly adapted in ancient architectures in cold and temperate climatic
countries, due to higher efficiency levels but it has become a challenge to modern
architecture due to many concerns and regulatory body requirements on fire and
security, apart from being the concerns on air movement patterns, velocity and
privacy concerns. However, with the combination of modern and ancient architecture
in hot and humid climate with low temperature gradient requirements, this is still an
effective and energy saving strategy. Whereas in temperate climates based on research
studies conducted, this strategy is more effective and has proven to be more reliable in
creating thermal comfort indoors, expel the odors, dilute the indoor air from pollutants
and flush out the space.
Figure 2.3: Illustration of Stack-Ventilation. Courtesy of Texas Technical College of
Architecture, USA (2011)
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Apart from its benefits there are certain negatives like the initial higher cost of
construction at this stage of available technology, complexity of the system, low
indoor air velocities especially in residential buildings. Ismail, M., et al (2012).
2.3 Mechanical Ventilation:
There are various types of Mechanical Ventilation used within the buildings. Those
used commonly are of three types and are described below;
2.3.1 Constant or Conventional Ventilation:
Certain amount of outdoor air is delivered into the space for reducing the indoor air
concentration of contaminants in breathing zone. This type of air supply into the space
to maintain indoor air quality is called conventional ventilation. In this type of
ventilation a fixed amount of outdoor air is used without any consideration to the
dynamic IAQ and the relative higher energy cost incurred due to excessive amount of
outdoor air. The disadvantage in this method is either the space is over ventilated or
under ventilated when occupancy increases exponentially thus resulting in poor IAQ.
2.3.2
Occupancy based Demand Controlled ventilation:
Demand controlled ventilation (DCV) is used to modulate the supply of outdoor air
dynamically. In this type of ventilation when the occupancy varies the system or the
control logic depending upon the type and logic reads the occupant density and starts
modulating the supply of outdoor air into the air-conditioned space. DCV has various
advantages, two being the most important are maintenance of IAQ and to control the
associated energy cost. The control algorithm detects the actual occupancy through
sensors and modulates the airflow control dampers for varying demand of outdoor air
into the air-conditioning space.
2.3.3
CO2-based Demand Controlled Ventilation:
The respiration and CO2 generation of human beings is related to age, sex, body size,
health, feelings response and physical activity. CO2 generated due to human
occupancy is known as surrogate gas to represent human being presence in an
enclosed space. Building ventilation adequacy is evaluated using CO2 concentration,
states Fan, Y., et., al (2013). The quantity of CO2 generated is determined by the
respiratory quotient (RQ) and the volumetric rate of oxygen consumption. The RQ is
the molar ratio between the carbon dioxide produced and oxygen consumed, states
Ng, MO et al (2011). It has a minimum value of 0.83 for light and sedentary level of
activities and goes up to unity for heavy activities.
2.4 Indoor Air Quality and Ventilation Demand:
Ng, et al (2011) states, “Indoor air quality is related to several parameters as
temperature, humidity, air velocity, and air contaminants levels. It can be occupant
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related like moisture, CO2, odors, and tobacco smoke, can also be building material
generated and outdoor source like formaldehydes, volatile organic compounds
(VOC), biological agents, radon, and airborne particulates. Poor IAQ could result in
sick building syndrome (SBS) like sensory irritation, fatigue, headache and shortness
of breath. Therefore, IAQ is crucial for maintaining a healthy and productive work
environment”.
Due to breathing and other activities human beings produce CO2 and also produce
other effluents like water vapor, particulates, biological aerosols and some other
unhealthy contaminants. CO2 in comparison with other contaminant sources is widely
used in industry as an IAQ indicator. Residential, commercial and office buildings
where people are the primary source of indoor air contamination and therefore, in this
case CO2 concentration can be used as an strong and accurate prediction indicator for
indoor air contamination levels due to the fact that CO2 concentration is directly
proportional with outdoor air flow rate. In some of the experimental studies outdoor
air flow rate was reduced to find the direct relationship of indoor air quality. Upon the
investigation of human related pollutants like body odor, bio effluents and other gases
related to bio-activity carried on building occupants, a relationship between outdoor
air supply and indoor air contaminants was established. Reduced quantity of outdoor
airflow reduced indoor air quality and by increasing outdoor air quantity to dilute the
effluent concentration, the occupants had a better feeling. Increment in outdoor air
flow was done based on readings made for CO2 concentration. Therefore, CO2
concentration acts as a tracer for human related particulates.
2.5 Importance of buildings and Ventilation:
Buildings are very important for all sorts of in-house activities and stuff related to our
daily activities. A study conducted by professionals has shown that people spend
around 89% of their time in the buildings whether its home, office, factory, school,
library, hospital, public or private building. Therefore it becomes a necessity to bring
the buildings with such an standard which can be of health benefit to the occupants
and be a reason of optimum productivity. Modern concept buildings are sealed and
are air tight envelopes thus require maintaining indoor environmental quality to the
best occupant health standards. Ventilation is the source of introducing the fresh air in
the building to dilute or remove the contaminated or stale air in the building. The
main purpose of introducing enough amount of treated outdoor air is to create livable
optimal conditions for occupants living or working within the closed spaces. The
good quality and treated air adds in good occupant health, comfort and productivity,
stated by Dimitroulopoulou .C, (2011). Quantitative or qualitative outdoor air
responds either in low or high pollution concentration, depending on poor outside air
quality or reduced quantity. Treated, qualitative and quantitative air does not come
without energy penalty. To stay within reasonable energy consumption it is
mandatory to identify the steady pollution source in-order-to take necessary steps to
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dilute or to remove the pollution continuously from within the space. There are
multiple number of ways considered to keep the space to the maximum level of
acceptable indoor environmental quality. Some of the industry experts suggest to
introduce enough amount of outdoor air to dilute the air contaminant concentration
and few experts are of the opinion to remove the polluting source. Therefore, the best
and energy efficient method is to avoid and eliminate indoor sources responsible for
pollution, wherever is possible. This can be done by low emitting materials and
products.
2.6 Ventilation and Health:
Air tight buildings or sealed envelopes without outdoor air or with least infiltration
increases indoor pollution. Elevated indoor contamination level increases health risk
factors like asthma or other types of breathing and skin allergies. It is therefore,
important to maintain a balance between indoor air quality, energy conservation and
the necessary ventilation requirements for the wellbeing of occupants in buildings, as
stated by Dimitroulopoulou .C, (2011). He further says that, “the decrease in
ventilation rates coincides in time with the increase in allergic diseases, since the
prevalence of asthma was increased during the past decades in the industrialized
countries”. According to epidemiological studies of the indoor factors carried out in
USA on ventilation energy conservation after 1973 Arab Oil Embargo, an increase in
asthma in children was recorded. The cause of children asthma was related to
environmental tobacco smoke, traffic related pollutants infiltrating indoors and
dampness in homes with visible moulds. Poor indoor environment was due to either
cancellation or reducing the quantity of outdoor air due to energy conservation. In
order to reduce indoor air pollutants it is recommended to eliminate the source
responsible with modest improvements in construction practices and living condition
by adapting mitigating techniques and at the same time to dilute the indoor
contaminants with sufficient quantity of outdoor air. Improved ventilation rates in
compliance with ASHRAE standard 62.1-2004 and 2010 reduces the indoor
concentrations of contaminants, thus sufficient quantity of outdoor air results in good
occupant health, safety, productivity and satisfactory comfort levels.
2.6.1
Residential Building Ventilation and health
Low ventilation rates and increased concentration of indoor generated pollutants
impact on human response and it may be associated with:

Sick building syndrome symptoms;

Comfort (perceived air quality)

Health effects (inflammation, infections, asthma, allergy), and

Productivity.
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In few recent studies in Europe, it was found that the vulnerable population groups
(children and elderly) are affected due to poor indoor air quality compared to rest of
population groups. The recommended threshold value of outdoor air is ½ air changes
per hour (ACH), frequently used in national standards / regulations in Europe, below
this value association to health responses may occur. But we do not recommend this
value of ACH to be used as a threshold for a minimum ventilation level, as it may
vary due to different climatic factors, activity levels and health criterion requirements
of local authority.
2.6.2
Ventilation and children’s health:
Asthma is a complex chronic inflammation of airways and lung disorder associated to
repeated airways obstruction episodes, accompanied by wheezing, coughing,
shortness of breath and a feeling of chest constriction. Epidemiologically various
studies are carried out across Europe to find the association of the disease with
various core factors but until today no solid factors are developed. Studies conducted
in two Nordic countries, no direct relationship of Asthma onset with ventilation rates
is found, however, ventilation rates in both the studies was well above ½ ACH.
Studies carried out in Stockholm, Sweden, in relation to building structure, material,
age, type of building, indoor air humidity (above 45%), apartment buildings and
single family homes with crawl spaces, it was concluded that the recurrent wheezing
in children up to the age of two is associated with all above mentioned factors. In
Norwegian study, 63% of residential units were supplied with outdoor air well above
½ ACH per hour. The aim of the study was to find the relationship of asthma, allergy
and adjunct diseases occurrence with indoor environment contamination. The study
concluded non availability of chemicals in indoor environment however, indoor dust
was rated as an appurtenant to promote allergy in humans. Although in recent studies
insufficient ventilation has been associated with the observed increase in allergic
diseases among children. 11000 children were investigated in Sweden to find out the
relationship between indoor air quality and asthmatic allergies. Children went through
chemical, physical, biological and medical measurements were divided into two
groups with 200 homes in each group comprising asthmatic children in one group and
the other one with the healthy group of children. Gathered data showed that allergic
asthmatic symptoms were related to low ventilation rates, however doctor diagnosed
eczema and rhinitis did not show any relationship with low ventilation rates. Higher
levels of indoor air humidity adds in the risk of dampness in dwellings and in the
infestation of house dust mites (HDM) which supports in microbial growth of mould,
fungi and bacteria adding further in emitting spores, cells, fragments and MVOCs into
the sealed indoor spaces with inadequate ventilation. Increased risk of respiratory
diseases and aggravation of asthma has been observed in occupants of damp or mould
houses located in different climatic conditions in accordance with competent
epidemiological testament. In a study conducted in Sweden in nested cases control
study on 198 children suffering from asthmatic and allergic conditions. Field tests
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within the houses were carried out by inspectors and a mouldy odour was observed on
the skirting board. Upon the diagnosis carried out by doctors, an association of rhinitis
and other allergic conditions were related with mouldy odors. The ventilation airflow
rates within the above houses were around 0.34 ACH, less than the threshold value of
0.5 ACH as per National standards and regulations in Europe. A good design, proper
construction, well maintained building envelopes, efficient HVAC system and
properly treated outdoor air prevents the occurrence of relative humidity shoot-up,
mould development, odour generation and microbial growth of any kind.
2.6.3
Ventilation and health of elderly people:
A social collective habitat for elderly people was kept under observation to study the
link of allergies and other health related issues. Elderly people used to spend most of
the times in the kitchen while cooking instead of staying in living rooms, apart from
being drying cloths in living rooms and using a higher amounts of cleaning chemicals.
These behavioral factors caused indoor air pollution. Due to the unorganized life style
and behavior of elderly people no any concrete association of factors with prevalent
allergies were found, however, poor indoor ventilation rates and air quality were made
responsible.
2.7
Ventilation and perceived IAQ:
The factors involved in influencing indoor air quality are; building geographical
location, surrounding environment, atmospheric conditions, weather, building
material, occupant density, occupant behavior, type of ventilation (natural or
mechanical), type of dwelling (whether villa, apartment, industrial house, labor camp
etc). Poor ventilated buildings impact on health and productivity of occupants. The
major concern has been the sick building syndrome (SBS) in such buildings.
Dimitroulopoulou .C, (2011) refers to a study conducted in Helsinki Metropolitan
area on 473 occupants of 242 dwellings, includes houses and apartments, with
different ventilation approaches to find out the relationship between SBS and
perception of poor IAQ in occupants. Study was carried out for two weeks between
November 1988 and April 1989. Various IAQ perceptions were recorded based on
occupant feelings, health problems and the common unhealthy symptoms. The most
common perception amongst others was stuffiness, whereas 22% of the occupants
perceived continually low ventilation rates in bed rooms, 46% of the occupants had a
feeling of stuffy air in the bed room especially during morning hours, very often and
during winter times 40% of the occupants had a feeling of too dry bed room air. Apart
from the above occupant feelings there were some more occurrences happened during
a day in every week. These are the following;
-
50% of the occupants complained of sneezing and the rest with stuffy nasal
congestion,
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-
33% occupants had a nasal discharge complaint, 33%, nasal dryness and 34% with
skin itching and dryness.
-
31% complained of headache or migraine, lethargy and 35% weakness or nausea.
-
25% of the occupants reported complaints on cough whereas 19% had dryness,
irritation or eyes itching, whereas 6% of the occupants had experienced
breathlessness on at least one day during the two weeks.
Upon further analysis of the recorded results from houses and apartments, it was
concluded that apartment occupants had more symptoms and perception of poor
indoor air quality than the occupants of the houses whereas houses with natural
ventilation had higher levels of symptoms and perception (around eight out of ten
symptoms) than the balanced ventilated houses.
2.8 ENERGY AND THE BUILDINGS:
Froling, M., (2009), argues the relationship of energy consumption with population
and GDP growth. Climate change is attributed to human activities. It is the human
activity which is responsible for global Green House Gas Emissions rising to 70%
between 1970 and 2004. (Khan, M.A., et al, 2013). The trend in global energy
consumption has increased exponentially right from industrial revolution and is
further picked by oil exploration to the current human requirements. “The
International Energy Outlook 2013 (IEO2013) projects that world energy
consumption will grow by 56 percent between 2010 and 2040” (EIA, 2013). Further
EIA, predicts the industrial sector to be the largest energy consumer by 2040,
accounting to half of the global delivered energy. Worldwide industrial energy
consumption accounted in 2010 is approximately 200 quadrillion Btu and is expected
to rise to 307 quadrillion Btu by 2040, averaging to 1.8 percent per year from 2010 to
2040, as shown in a history and projections of world energy onsumption from 1990 to
2040 in a graphical representation in Figure 2.4.
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Figure 2.4: World Energy Consumption 1990-2040. A courtesy of EIA (2010)
Whereas the residential and commercial sector buildings has also shown increasing
trend in energy consumption. Approximately 52 quadrillion Btu of energy
consumption in 2010 is recorded which will grow to 82 quadrillion Btu by 2040. The
energy consumption numbers stipulated in industrial, residential and commercial
sectors do not include the energy losses associated with electricity generation and
transmission.
Table 2.1: World Energy Consumption by Each Sector, 2011. Courtesy of EIA.
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Table 2.2: Total Primary Energy Consumption of Middle East. Courtesy of EIA.
2.9 GLOBAL HVAC ENERGY AND BUILDING INDUSTRY:
On a global scale buildings consume 40% of world total energy use and produce more
than 30% of CO2 emissions. “The heating and (cooling) of homes and buildings
shares 56% of total energy consumed by buildings and homes. (Fink, H.S., 2011,
Aldossary, N.A., et., al, 2013). The energy demand further rises due to larger indoor
presence and indoor temperature difference, population growth, rapid urbanization
and demand for new residential and commercial units, including rising global
temperatures due to climate change.
In United States 40% of total energy is consumed by buildings and electricity
consumption is more than 70%, whereas cooling and ventilation systems in
commercial buildings are the second and third largest consumers of electricity,
however, the cooling share of electrical energy consumption is increasing. (Zakula, T.,
et al 2011 and Wagner, T.C, 2012).
Abdullah, H., et al (2012) mentions the energy consumption of Commercial Buildings
is 50-70% of total electrical energy consumed in Malaysia. A research study
conducted by Omer A.M (2008) states the energy consumed by buildings for lighting,
heating, cooling and air-conditioning is approximately 40% of the total world annual
energy consumption. Whereas, HVAC energy fraction consumed in Malaysia for
commercial and residential buildings accounts approximately to 42% and 30%
respectively, states Sulaiman, et al (2012). In another research study conducted by
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Sukri, M.F., et al (2012) states HVAC contributes to the highest energy demands of
around 50-60% for typical commercial buildings. Global air conditioning energy
consumption trend is estimated to increase rapidly during 21st century. “The increase
is from close to 300TWh in 2000, to about 4000TWh in 2050 and more than
10,000TWh in 2100”, states Issac, M et al (2008) and argues on further increase of
cooling demand by about 70% and decrease in global heating demand by about 30%,
mainly driven by increasingly replete population in developing countries and to some
extent the climate change.
2.9.1
HVAC ENERGY CONSUMPTION IN MIDDLE EAST:
Middle East is located in hot and humid climate zone as identified by American
Society of heating, refrigerating and air-conditioning engineers. Commercial,
residential, hospitability projects, industrial and government buildings need airconditioning, ventilation and dehumidification; maximum number of days in a year,
accounting to 75% of the days annually.
2.9.2
HVAC ENERGY CONSUMPTION IN UAE:
The UAE’s per capita energy consumption rating is the highest in the world. Upon
getting independence in 1971, UAE started focusing extensively on economic
development and urbanization projects, consequently quadrupling primary energy
consumption from 80’s until 2007 as per energy statistics, states Kazim, A.M (2007).
The increasing trend in energy consumption pushed the country to be the highest
ranking per capita energy consumer in the world, thus producing highest CO2
emission levels.
The United Arab Emirates has seen rapid growth in population due to exponentially
expanding construction and industrial sector. After independence in 1971, UAE’s
population recorded was 287,000, 4.1 million in 2005, 8.3 million in 2010. The
Emiratis are approximately 11% i.e., accounting to 950,000 people. (Loney, T., et al
2013).
The number of buildings as shown in Table 2.3 in the emirate of Dubai recorded
during the building census of year 2000 estimates 55,653 buildings and touched to
79,214 buildings according to the results of 2005 building census, an increase of
42.32 per cent in 5 years. (Gulfnews, 2005).
Dubai Statistics Center as shown in Figure 2.5, Government of Dubai, has published
building census of year 2011, recording the number of buildings to 120,530 in total.
Percent increase in number of housing units from year 2005 to 2011 recorded is
116.6%.
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Table 2.3: Buildings by Type – Emirate of Dubai (2011). Courtesy: Dubai Statistics
Center.
Figure 2.5: Buildings by Type-Emirate of Dubai (2005, 2011). Courtesy: Dubai
Statistics Center (2011)
The Building Census data collected for Abu Dhabi is available for those constructions
supervised by The Department of Social Services and Commercial Buildings
(DSSCB) from 1977 to 2000. Accordingly the number of Development projects
executed by DSSCB are 6002, providing 93614 number of flats. (Abdellatif, M.A., et
al 2006).
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Abu Dhabi, Dubai and Sharjah are operating emirate owned power plants, whereas
rest of the emirates are served by Federal Electricity and Water Authority (FEWA)
power plants. The installed power generation capacity of Dubai Emirate, as shown in
Figure 2.6 and Table 2.4 is 9,646 Mega Watts, excluding two standby power
generation facilities of 150 MW gas turbine at Satwa Power Station and 14.7 MW at
Hatta Power Station. (DEWA, 2012).
Table 2.4: Installed Power Generation Capacity of DEWA 2012. Courtesy DEWA
Figure 2.6: Installed Power Generation Capacity and annual peak power demand
2012. Courtesy DEWA.
Figure 2.7 shows approximately 6,637 Mega Watts of energy is consumed in the
month of July by all the buildings in the emirate of Dubai. The Peak energy demand is
approximately 68.81% of installed capacity. Whereas the month of January has shown
energy demand of approximately 3500 MW out of 9,646 MW, thus the lowest winter
season demand is approximately 36.28% of installed capacity. The surge in demand
from winter to hot and humid months of summer is mainly influenced by HVAC
service and therefore that accounts to approximately 32.53% at peak demand.
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Figure 2.7: Monthly Peak Demand of Power Consumption for 2011 and 2012.
Courtesy DEWA.
The pie chart in Figure 2.8 depicts the energy consumed is mainly driven by
commercial sector at the highest, the second highest being residential sector, followed
by others (Governmental buildings, Mosques, Police Stations and DEWA staff and
office facilities), Power Stations & Desalination Auxiliary and Industrial sectors. The
total energy consumed or the system energy requirement in 2012 is approximately
36,299 GWh.
Figure 2.8: Sector-wise Electricity Consumption in 2012. Courtesy DEWA.
ADWEA is the larger power generation capacity in the United Arab Emirates. Its
installed power generation capacity in 2012 is 13,842 Mega watts and energy
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consumed is approximately 62,165 GWh, approximately twice than the Dubai
Emirate. (ADWEA, 2013). By 2020 energy demand in Abu Dhabi emirate is estimated
to be approximately double and reaching almost to 25,000 MW, states CSR Middle
East, 2012.
The total electrical energy consumed by Abu Dhabi and Dubai emirates only
approximates to 100,000 GWH in 2012.
2.10 Ventilation needs and ventilation energy requirements.
There are two major sources responsible of creating pollution within the building
envelope. The source known earlier and quite addressed a lot until recent past is the
building occupants, but due to transformation of buildings to the closed envelope, air
tight construction, modernization and use of different decorative and finishing
materials, another source was also found to be responsible for space contamination
and is known as building related contaminants. This type of indoor space
contamination is due to the application of building material responsible for emission
of unhealthy gases coming out of volatile organic compounds – VOC’s. Keeping the
indoor environment to the best health standards requires clean outdoor air to flush the
indoor spaces from metabolic CO2 produced by occupants and VOC’s produced by
building materials. Since the spaces are closed and air tight envelope due to hot
climatic conditions, therefore, requires handsome amount of outdoor air. To treat the
outdoor air enough amount of energy is required. Therefore, industry experts over
recent years realized the need to improve the indoor air quality and to propose the
strategies to reduce the associated energy use.
The study made by Nassif N., (2011), considered two story office building with
multiple number of zones and two cores with different space applications having total
occupancy of 422 people using standard design occupancy profile from 8:00 AM to
5:00 PM to evaluate the practical application of CO2 based demand control ventilation
in supply air duct rather than return air duct. A PI / PID control is used to modulate
outside air damper to meet the ventilation requirements based on CO2 concentration.
Various US climate zones are considered to understand the benefit of supply air CO2based demand control ventilation (SADCV) in all climate zones. Actual occupancy
based on real occupancy data i.e., two profiles of 100%, 75% and 50% of design
occupancy profiles is used to understand the effectiveness and energy saving benefits
of CO2-based SADCV including its cost effectiveness. Ventilation rates in this study
are taken as per ASHRAE standard 62.1 2004-2010. A control algorithm is required
to monitor the CO2 concentration in supply air duct and adjust the outdoor air damper
accordingly. In this strategy a care has been taken to minimize the use of CO2 sensors
or to limit their requirement and therefore there is no any significant upfront or
operating cost and can be applied by adapting simple installation procedures in most
of the multi-zone HVAC systems equipped with direct digital control system. The
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system requires a local PI / PID control loop with CO2 sensor to be installed in supply
air duct. Two parameters are used in this research study for outdoor air modulation,
i.e., outdoor air damper and CO2 concentration measured by supply air CO2 sensor.
The measured CO2 concentration is compared with outdoor air damper set point and
incase of significant difference PI / PID control signals the damper to modulate
accordingly. Proper time intervals are used to dynamically adjust and reset supply air
CO2 concentration set point based on actual zone air flow rates. The design and
evaluation of SADCV is based on ASHRAE standard 62.1 2004-2010 considering
two major factors of space contamination like population or occupant density and
building material. However, the same strategy is equally applicable for previous
HVAC designs done based on ASHRAE 62.1 1989-2001 in which outside air flow is
fixed on per person basis. Upon the implementation of CO2-based SADCV within
older version based designs, air flow rate modulates based on CO2 concentration in
supply air. It is concluded that the energy savings based on ASHRAE standard 62.1
2004-2010 could go up to 25% in hot climates where free cooling is not widely
available using economizer and in such hot climate zones like Orlando considerably
greater energy savings to the maximum of 25% can be achieved. Energy savings
using CO2-based SADCV is shown in Fig. 2.9, depicting Hot to cold climates.
Figure 2.9: Annual cooling energy consumption with three options of occupancy
profiles, 100%, 75% and 50%. (Nassif, N 2011)
2.11 Why only Demand Controlled Ventilation
Outdoor air at UAE ambient conditions is very hot and humid. The highest
temperature, as recorded on 20th July 2012 in Suweihan, UAE outside the capital city
is 50.4 OC. However, on 30th July 2002 in western region temperature has hit 52.1
degrees Celsius. (EMIRATES, 24/7).
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Due to highest ambient conditions in hot and humid summer of UAE, it becomes
equally important on professionals to adapt the strategies to reduce energy
consumption on cooling, heating and ventilating systems within building sector.
Buildings consume 40% of global energy consumption and contribute 30% in CO2
emissions, states Yang, L., et al (2013). The electrical energy is produced from
burning the continuously depleting, non-renewable and greenhouse gases producing
fossil fuels. Therefore, this becomes important to conserve the fossil fuel by reducing
energy consumption. Demand control ventilation is one of the ways that helps
professionals in reducing the system operating cost and with proper strategy adaption
results in reduced system sizing, to achieve proper balance in IEQ and energy saving
at the same time. Demand control ventilation with the integration of sensors and
control modules identifies the occupancy number in the air conditioned zone and
accordingly system calculates the required amount of outdoor air to flush the indoors
and dilutes CO2 concentration and VOC emissions. Several sub-components are used
to determine the occupancy level using cameras to count occupancy, access control
system, infrared rays, or revolving doors. Apart from the above a practical and widely
advocated method is also used to detect the occupancy number by sensing return air
CO2 concentration and outdoor air flow. CO2-based demand control ventilation
among all other methods is most commonly studied and applied. One of the
advantages of CO2-based demand control ventilation is to guarantee acceptable indoor
air quality. Shan K, et al states, “The relationship between CO2 level and IAQ was
studied by Persily (1997). His work proved that the CO2 concentration can be used as
a parameter indicating IAQ”. In addition to that multiple numbers of studies are
conducted on demand control ventilation using CO2 sensors, limited number of CO2
sensors, air flow sensors, two stage air flow and other similar strategies with some
level of modifications. In all those research studies it has been found that considerably
good amount of energy could be saved by adapting demand control ventilation
strategies while maintaining indoor air quality. Significant savings were noticed on
coil load and fan power consumption.
2.12 ASHRAE Standards History:
ASHRAE standard referred in designing ventilation requirements for indoor air
quality has seen continual changes and upgrades based on observations, scientific
advancements, climate change, transformation of industrial activities and more
rigorously during recent past due to enclosed envelopes and energy penalties. Update,
revisions history of ASHRAE Standard 62 and its transformation to 62.1 is mentioned
in Figure 2.10. The first ventilation standard used earlier is 62-73, Standards for
Natural and Mechanical Ventilation. The standard provides prescriptive approach to a
ventilation by defining the minimum and recommended outdoor airflow rates to
obtain acceptable indoor air quality in terms of health, safety and occupant well-being
for a numerous indoor spaces. Upon successful implementation, observation and
evaluation, ASHRAE published revised Standard 62.1981; Ventilation for Acceptable
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Indoor Air Quality. 1981 standard focused on innovative and energy conservation
ventilation practices, while allowing design engineers to use any quantity of outdoor
air deemed necessary to bring down the indoor air contamination. Later on a revision
in 1981 standard was introduced by publishing ANSI / ASHRAE Standard 62-1989.
The revised standard came up with two procedures for ventilation design i.e.,
Ventilation Rate Procedure and the Indoor Air Quality Procedure. The intent of this
standard as prescribed is to specify minimum ventilation rates to maintain indoor air
quality in-order-to avoid any adverse health impacts. ANSI/ASHRAE Standard 62.12004 is the update of ASHRAE Standard 62.
Figure 2.10: ASHRAE Standard- Update History. (Stanke, D, 2008)
The intent of ASHRAE Standard 62 is to decrease indoor air contaminants by
flushing out CO2 generated due to human activity for better occupant health and to
minimize potential adverse health effects. ASHRAE Standard 1973, 1981 and 1989
are almost similar in nature with slight changes made in outdoor airflow rates with
little focus on energy conservation. ASHRAE Standard 1999 and 2001 saw some
more changes like addition of few more spaces, increase and decrease of ventilation
rates, whereas 2004, 2007 and 2010 contained greater changes in terms of ventilation
rates, changes in space airflow rates focusing on occupant health and energy
conservation, separation of Environmental Tobacco Smoke (ETS) and introduction of
separate airflow rate considerations for low and high rise buildings. Reductions in
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airflow rates in breathing zones with minimum ventilation rates and effective
ventilation rates are shown in Figure 2.11.
Figure 2.11: Minimum Ventilation Rates and Effective Minimum Rates. (Stanke, D,
2008)
Trane application engineer Murphy J and Bradley B. (2005) states in their research
work on demand controlled ventilation with ASHRAE 62.1-2004 that the most
appealing point in ASHRAE Standard 62.1 mentioned in section 6.2.7 of 2004
publication is, “Dynamic Reset”, allowing the HVAC system to reset the design
outdoor air intake in to the conditioned or indoor space when the occupancy varies.
For dynamic reset strategies, standard mentions three examples.
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2.12.1 Reset based on occupancy:
ASHRAE 62.1 allows the designers to reset the intake airflow as change in occupancy
is recorded. This type of control application is referred as Demand Controlled
Ventilation (DCV). Different methods are used to estimate the variation in occupancy
to regulate ventilation demand. These methods widely advocated and used are;
Occupancy schedules, Occupancy sensors and Carbon dioxide (CO2) sensors. CO2based reset strategy is most commonly used than all other strategies.
2.12.2 Reset based on ventilation efficiency:
ASHRAE 62.1 allows resetting intake airflow upon detecting variation in ventilation
efficiency. This strategies is applicable in multi-zone VAV system. Ventilation reset
dynamically resets the outdoor airflow supply to the HVAC system based on its
changing efficiency.
2.12.3 Reset based on economizer operation:
ASHRAE 62.1 allows the designer to reset the VAV primary airflow settings at each
box in response to variations in intake airflow. Economizer reset strategy is applicable
in cooler climate or moderate climates where outdoor air psychrometric
characteristics (enthalpy) are richer than indoor air. During these conditions when free
cooling is available, enough amount of outdoor is introduced in to the indoor space,
often more than minimum design requirements.
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CHAPTER 3: RESEARCH METHODOLOGY
3.1 RESEARCH PARAMETERS
The literature reviews and various studies done in previous chapters on demand
controlled ventilation has shown significant encouragement to implement DCV
system in new and existing developments to get energy savings and reduce GHG
emissions to save the environment from further polluting. Socio-economic benefit, job
creation are the by-products of the system implementation and adaptability. The intent
behind the research study is to reduce the energy consumption mainly produced
burning fossil fuel, reduce GHG emissions, save and conserve energy and nonrenewable depleting fossil fuel reserves, create acceptable IEQ and create and
maintain livable indoors from thermal and indoor air quality point of view.
To achieve the intent of research study, some essential parameters are developed,
studied and compared in-order-to analyze the results of base case; a business as usual
and a demand controlled ventilation strategy results. The first and the foremost
requirement is to develop a building model of a high rise building with residential,
commercial and hotel facility. The building consists of three basement floors, ground,
1st floor, 2-8 floors hotel apartments, 9-19 floors residential, 20th floor (Mechanical
floor level), 21st to 43 floors residential. A base case model to be considered
comprising, basement-1 level for restaurants, Ground floor level for restaurants and
hotel lobby, 1st floor level for restaurants, Gym and recreation, 2-8 floors hotel
apartment rooms and 9 to 43 floors (excluding mechanical floor) for residential.
The parametric variables used in the model are orientation, over-all heat transfer
coefficient, shading co-efficient, occupancy, occupant working profiles, lighting
density, equipment density, ventilation flow rates as per the design case or “Business
As Usual”, ASHRAE 62.1-2007 and Actual occupancy as per the feedback from end
user. In the last case breathing zone airflow rates shall be higher than ASHRAE
standard 62.1-2010. All the parametric inputs except occupancy, occupant profiles
and ventilation air required in breathing zone shall be kept constant throughout the
simulation process. Keeping all other heat gain sources constant is the requirement of
this research study, since the purpose is to study the impact of outdoor air on energy
consumption, energy savings, CO2 emissions, indoor air quality, health benefits and
HVAC system sizing.
3.2 REVIEW OF PREVIOUS RESEARCH METHODOLOGY
Researches done previously across the globe shall be presented here in this section to
understand the methodology adopted by the researchers and learning from the
methods and the outcomes in-order-to enhance the quality of this research.
3.3 OBSERVATIONAL RESEARCH OR FIELD MONITORING METHOD
Sun Z et al, (2010) worked on in-situ implementation and validation of a CO2 based
adaptive demand controlled ventilation strategy in a multi-zone office building. The
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few common and widely used strategies are available to dilute the concentration of
indoor contaminants just by supplying treated outdoor air in to the spaces, eliminate
or reduce the pollutant source and to flush the remaining constituents by introducing
the outdoor air. However, to maintain acceptable IAQ with minimum energy
consumption, demand-controlled ventilation is widely acceptable strategy and has
been focused in depth in multiple research studies across the globe. DCV strategy
monitors the CO2 concentration in air-conditioned spaces by using CO2 sensors, infrared sensors, CCTV cameras or scheduled working hours to optimize outdoor
ventilation airflow rate. The strategy used in this research study is CO2-based adaptive
DCV strategy. The tallest building 490 meters height situated in Hong Kong is
selected. It is worth noting here that this study is based on site implementation and
experimental data collection of the proposed adaptive demand controlled ventilation.
The basic components used are air filters, airflow meters and CO2 concentration
sensors in addition to IBManager connected with BMS to control and monitor the
system operation. The purpose behind using air filters is to get optimum accuracy in
sensing capacity of airflow meters and CO2 concentration sensors. The actual required
amount of outdoor airflow rates are calculated considering the individual zone, whole
space and critical zone ventilation needs by estimating space occupant density in
compliance with ASHRAE standard specified airflow rates. The detailed
methodology of adaptive DCV strategy is shown in Figure 3.1.
Figure 3.1: Flow chart of the adaptive DCV strategy. (Sun, Z., et al, 2010).
The demand controlled ventilation strategy is implemented on 15th floor, as this floor
is typical up to 47th level. Two air handling units are supplying conditioned air in to
the entire 15th floor to maintain occupant thermal comfort levels. The schematic
diagram shown in Figure 3.2 provides the detailed airflow diagram, control
arrangement and air terminal units.
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Figure 3.2: Schematic of the multi-zone ventilation system in the typical
floor. (Sun, Z., et al) 2010).
The selected building is divided into five regions and the floor selected for the
implementation of adaptive DCV strategy comes under region2, and floor 15th to 47th
floor comes under this region. This strategy is implemented in 15th floor. The typical
floor (15th floor) is divided into 7 zones. Zones 4 to 7 are served by AHU-1 whereas
zones 1 to 3 are served by AHU-2. Required supply air into different zones is supplied
by a supply air duct and air diffusers, whereas fresh air is drawn thru Fresh Air
Handling Units or Primary Air Units (PAU’s) and is supplied to the AHU-1 and
AHU-2 for further distribution to different zones in typical floor. Schematic in Figure
3.3 shows fresh air supply to typical floor AHU system. Schematic arrangement of
fresh air supply from PAU’s to the AHU’s is located on typical floor mechanical
rooms. This typical arrangement is shown Figure 3.4.
Figure 3.3: Schematic of the locations of CO2 sensors and air flow rate meters
in the typical floor. (Sun, Z., et al, 2010).
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Figure 3.4: Schematic of the outdoor ventilation control system for each AHU
system. (Sun, Z., et al, 2010).
An application program of Matlab was used for DCV strategy programming as a
dynamic link library (DLL) module, integrated into IBmanager. IBmanager and
integrated DCV strategy are operated on a separate personal computer connected with
the main station of the BMS through a BACnet protocol and interface, as shown in
figure 3.5. IBmanager receives the system operation data and sends optimal control
settings to the BMS for practical control. A human interface called decision
supervisor tool is also designed for operator to set whether set point from the DCV
strategy can be used or ignored. The advantage of this approach is to provide freedom
and flexibility to further improve the performance of the DCV strategy, moreover the
approach provides to have a satisfactory performance and to be more user friendly.
Further, a simple diagnosis strategy is made available in the main station of BMS to
verify the integrity of DCV strategy settings. There are two limits defined in the DCV
strategy settings for lower and upper limits with time interval interlinks. Incase of no
variation recorded in lower or upper limits as set within 10 minutes of time interval,
the system will conclude the improper response of DCV strategy. In this case (when
no change recorded in specified time interval) the system goes automatically on fixed
set point controls as set in the BMS system, to supply enough quantity of outdoor air
to maintain IAQ. Central CCTV was used to count the number of entering and leaving
the conditioned space. The counted result was later compared with coincident
predicted value by using occupancy detection scheme of DCV strategy using online
measurement method. This demonstrates the effectiveness, reliability and
applicability of CO2 based occupancy detection scheme under dynamic working
conditions. Field tests in winter were carried out and to further demonstrate the
P a g e | 37
performance of the DCV strategy, simulation tests were run considering summer
working conditions. The performance of the DCV strategy is evaluated by comparing
with that of the fixed outdoor airflow rate control strategy in terms of the outdoor air
flow rate and indoor air CO2 concentration as well as the energy performance.
Outdoor air flow rate set point optimized by DCV strategy was much less than that
provided by the fixed outdoor air flow rate control strategy during the whole test
period. This is illustrated in Figure 3.6
Figure 3.5: In-situ implementation architecture of the DCV strategy. (Sun, Z.,
et al, 2010).
CO2-based adaptive demand controlled ventilation strategy as apparent from the site
tests and simulations can reduce the system operating cost, reduce energy bills while
maintaining indoor air quality. Adaptive DCV strategy helps to reducing energy
consumption in hot summer and middle seasons on fresh air handling units (Primary
air units) but it may not be an ideal method using in winter condition. Therefore,
using enthalpy control strategy during cooler winter months shall be more feasible
than adaptive CO2-based DCV strategy.
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Figure 3.6: Comparison of the outdoor air flow rates between the uses of the two
ventilation strategies. (Sun, Z., et al, 2010).
3.3.1
EXPERIMENTAL STUDIES:
Shan K et al, proposed demand controlled ventilation using limited number of sensors
in a high rise building (490 meters building height, consisting of 108 floors) named
International Commerce Center (ICC), located in Hong Kong. The building is divided
into three different parts; a car park on the ground floor, shopping arcades located
between ground floor and fifth floor, and commercial offices and six star hotels in the
building tower. The DCV test is performed only in commercial offices between level
15th and 47th, since all floors are used by offices. Each office floor has an area of
3,600 m2. The air conditioning of each floor is served by two identical air handling
units located in mechanical rooms of the same floors. Four fresh air handling units
located on level six and seven are responsible for the supply of outdoor air after
cooling, dehumidification and air filtration process. The treated air then is supplied to
air handling units located in each office floor mechanical room via vertical ducts
running until 47th floors. Pressure-independent type VAV terminal boxes are
connected via supply air ducts to modulate the airflow and maintain the set point
room temperatures. The detailed schematic arrangement of air handling units and
controls is shown in Figure 3.7. In this DCV validation study 15th floor is selected and
each zone of this floor is full with instrumentation of CO2 sensors and floor 17 is with
limited sensor instrumentation.
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Figure 3.7: Schematic of air-handling system of a typical office floor. (Shan, K, et al,
2010)
The team of researchers involved developed IBmanager using BACnet protocol to
control and monitor CO2 sensors installed in all zones created at level 15 and the
system was connected to building management system by a personal computer. The
NAE (Network Automation Engine) as shown in Figure 3.8 is a BACnet device,
designed to collect and send data to the direct digital controller (DDC).
Figure 3.8: Data flow in the control implementation platform (IBmanager). (Shan, K.,
et al, 2010)
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The IBMDrvBACnetXCache contains the most updated measured values. The IB
Server Cache updates every 10 seconds by reading data from IBMDrvBACnetXCache
and sends data to history database every 60 seconds. The data stored in this history
database can be used for performance evaluation. Mtlab program is used to code the
program and compiled into a package called IBmanager.
Three strategies are used in this research study i.e, strategy-A with two schemes,
strategy-B using two-stage outdoor airflow set points and strategy-C using sufficient
sensors and airflow meters. Strategy-A with two schemes and two reference strategies
were implemented and tested at 15th floor using full sensor instrumentation and 17th
floor with limited sensor instrumentation of the building. Two stage outdoor airflow
control set point is used in strategy-B. As per ASHRAE standard 62.1-2010 the
maximum recommended CO2 level is 1000 ppm and indoor CO2 concentration is set
at around 800 ppm. In case the CO2 concentration drops below 600 ppm, the space is
considered over-ventilated and considered the waste of energy to cool and heat
outdoor air. Strategy-C was tested on 15th level due to sufficient quantity of installed
CO2 sensors and flow meters. Two Air Handling units as mentioned earlier are used to
cool and dehumidify the spaces at each floor in addition to the fresh air handling units
located at level 6 and 7 to serve level 15 to 47. 15th floor AHU-1 serves zone 4, 5, 6
and 7 whereas AHU-2 is serving zone 1, 2 and 3. However, 17th floor AHU-1 serves
similar zones like 15th floor AHU-1 and AHU-2 serves only one zone.
Level 15th is well equipped with sufficient number of CO2 sensors and flow meters,
therefore, strategy-C was applied and tested on AHU-1 in all individual zones. The
recorded CO2 concentration as shown in Figure 3.9 is 800 ppm, hence IAQ in all
zones is termed as acceptable.
Figure 3.9: CO2 concentrations of all zones using strategy-C in AHU-1 on 15th floor.
(Shan, K., et al, 2010)
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Strategy-A with both the schemes is implemented and tested on level 15. The outdoor
airflow rate set points using strategy-A and strategy-C are compared with each other.
Below mentioned figures Figure 3.10 and Figure 3.11 shows the outdoor airflow set
points in AHU-1 and AHU-2. It is noted that the difference between the set points is
very small with slight variation in AHU-2.
Figure 3.10: Comparison between the outdoor airflow set-points given strategy-A and
C on AHU-1 at 15th floor. (Shan, K., et al, 2010)
Figure 3.11: Comparison between the outdoor airflow set-points given strategy-A and
C on AHU2 at 15th floor. (Shan, K., et al, 2010)
According to the graph pattern as shown, there are negligibly small variations in
outdoor airflow rate set points of AHU-1 in strategies A-1, A-2 and slight variations
are observed in AHU-2 outdoor airflow set points in strategies A-1 and A-2 in
P a g e | 42
comparison with strategy-C. It’s worth noting that strategy-C is the reference point to
compare with other strategies and it guaranties the acceptable IAQ. Therefore, as per
the graph pattern, strategies A1 and A2 also guarantees to meet the acceptable IAQ
requirements as per AHRAE standard 62.1-2010.
On 17th floor strategy A-2 was implemented, since strategy A-1 is suitable for the
spaces where total return air CO2 sensor and supply airflow meters are installed in all
zones. It was found that strategy A-2 has greatly reduced the outdoor airflow when
compared with two-stage outdoor airflow control strategy i.e., strategy-B. Upon the
evaluation of graph shown in Figure 3.12. It can be concluded that the CO2
concentration in return air in AHU-1 at 17th floor is well above the acceptable limit of
IAQ recommendations as per ASHRAE 62.1-2010. The reason being the requirement
of space ventilation and pressure balance of 17th floor.
Figure 3.12: Return air CO2 concentration of AHU-1 at 17th floor using strategy A-2.
(Shan, K., et al, 2010)
The proposed study of demand controlled ventilation implies limited number of
sensors for multi-zone control strategy. This strategy is marked as strategy-A. The
comparison of strategy-A was made with strategy-B and strategy-C in terms of energy
consumed and operational savings achieved. In hot and humid climate outdoor air
temperature and moisture content is higher and therefore, it adds load on cooling coil
for dehumidification and cooling and at the same time primary fans require power to
deliver treated outdoor air to all AHU’s located in all floors. The savings using
strategy A-1 is calculated at around 52% and with strategy A-2 it was approximately
45% in both primary fan power and in the cooling coil energy requirements. Energy
saved by fully instrumented DCV strategy (strategy-C) is around 52% comparing with
strategy-B. This shows that the savings given by strategy-A are close to strategy-C.
Similar study is also conducted by Ng. MO et al (2011) on CO2 -based demand
controlled ventilation under new ASHRAE Standard 62.1-2010 at Indiana. A case
P a g e | 43
study for a gymnasium of an elementary school located at West Lafayette, Indiana is
analyzed and found encouraging savings of approximately 50%.
3.3.2
SIMULATION STUDIES WITH ONSITE VALIDATION
Lu T et al, (2011) conducted a research study on demand controlled ventilation and
resultant energy savings in buildings. Sports training center was experimentally
simulated and onsite data was collected for CO2 generation based on occupancy
density to design hourly occupancy schedule. A novel and dynamic control strategy is
developed for hourly scheduled buildings. The strategy utilized schedules by setting a
base ventilation rate for unoccupied periods and calculating ventilation rates
dynamically at each occupied period by solving the CO2 mass balance equation to
keep indoor CO2 near the set point during the occupied period. Upon the analysis of
experimentally simulated data it was concluded that the hourly scheduled DCV
strategy can save up to 34% of ventilation energy compared to proportional control.
Further the developed strategy was implemented in common buildings which are
occupied throughout the day during the open hours. It was concluded that even in
such buildings the strategy can save about 26% of ventilation energy. The strategy
discussed in this study is CO2 based demand control ventilation using the mass
balance technique of CO2 in the space. The mass balance of CO2 concentration is
expressed as:
VdC
= Q(Co – C(t)) + G(t)--------------------------(1)
dt
where V represents space volume, C(t) stands for indoor CO2 concentration at time t,
Q is the volumetric airflow rate (fresh air) into and out of , Co is outdoor CO2
concentration, and G(t) represents the CO2 generation rate at time t.
A typical training arena of an ice rink is selected to study the successful
implementation of CO2 based demand control ventilation. Sports training arena
includes primary zone, training hall, and a recreation zone. Training hall where sports
activities are organized is also used in this study.
In Figure 3.13 and figure 3.14, the training schedule and training session with break,
sample time, training remaining time and training remaining time supplement is
shown, whereas Figure 3.15 shows CO2 set point, CO2 set point supplement and
indoor and outdoor air CO2 concentration set points.
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Figure 3.13: One day’s schedule from an indoor ice rink.
Figure 3.14: The illustration of training session, break, sample time, training
remaining time, and training remaining time supplement.
Figure 3.15: The illustration of CO2 set point and CO2 set point supplement.
PID control algorithm is programmed as per the CO2 limits shown in figure 3.16.
Depending upon indoor CO2 concentration due to change in indoor occupant density,
the outdoor air damper starts modulating to supply the required quantity of outdoor air
in to the space. In Figure 3.16 it is shown that the CO2 sensor is located in return air
duct considering the best location due to some technical and economic reasons.
Practically it has been noticed that there is always a considerable difference in CO2
concentration readings of breathing zone and duct mounted CO2 sensors. To eliminate
or to reduce the probability of variable CO2 readings some adjustments and correction
to the CO2 readings are considered to create a correlation and similarity between both
the readings. However, the application of CO2 correlation method shall not be used in
other buildings unless it is practically verified and shall be used with caution. CO 2
concentration set point is considered 800 ppm whereas as per AHRAE 62.1-2007 it
can be taken up to 1000 ppm at maximum.
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Figure 3.16: The schematic diagram of the implementation of the new strategy.
Two major control parameters are used and they are; data collected from indoor CO2
sensor and occupancy schedule data base. The outdoor air damper starts modulating
when a change in CO2 concentration and occupancy schedule data base matches.
Proportional control algorithm optimized with occupancy schedules and CO2 mass
balance strategy is adapted due to its simplicity and higher result accuracy in
application. This combination of three strategies is known as novel and dynamic
control ventilation strategy. However, exponential control has better control
performance but is not adapted in this strategy since, exponential control has no any
apparent energy saving benefits and on the contrary it is complex to implement. The
proportional control strategy based on CO2 concentration often over ventilates the
space as shown in figure 3.17, whereas, new strategy always stays within the set point
values of 800 ppm.
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Figure 3.17: Comparison of simulated CO2 concentrations between the new strategy
and the proportional control in the sports training arena (experimental CO2 generation
rates, 14 days). (Lu et al, 2011)
This phenomenon is more strongly manifested in training dense periods i.e., after 5
p.m., where the indoor CO2 concentration is mostly controlled between 770 ppm and
800 ppm at each training session. Therefore in terms of energy savings this new
dynamic control strategy can save up to 40% ventilation energy in training arena
compared to proportional control approach.
The results of above study shows that this novel and dynamic strategy can be used in
training arenas for only shorter periods than longer ones. For the buildings with longer
occupancy sessions the strategy may not work efficiently since the space may be over
ventilated all the times. This dynamic strategy is well appreciated and is a step
forward for energy conservation on ventilation loads however, this strategy still needs
some more experimental, technical and simulation work to analyze and identify the
limitations of the new strategy with respect to ventilation distribution pattern, states
Lu et al (2011).
3.4 CHOOSING AN APPROPRIATE RESEARCH METHOD
Various research methods are discussed in previous sections and here in this section
an appropriate method, suitable for the study shall be selected on merit and talked
about.
3.4.1
EXPERIMENTAL
A permanent laboratory facility or a short term testing center is developed for such
studies on limited scale under laboratory environment. This type of experimental
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approach using laboratory facility leads to limited results and small scale
demonstration. The proposed building type and amount of data and variables
considered for studying CO2 -based demand controlled ventilation is comparatively
larger
than
the
laboratory
scale
experimental
methods.
Howe
ver, experimental studies are encouraged for developing guidelines. Similar study is
conducted by I0, 1
at an Energy Resource Station located on the Des Moines Area
Community College in Ankeny, Iowa. Energy Recovery Station is established for
comparing different energy efficiency measures and record energy consumption. The
facility permanently houses three numbers variable air volume air handling units. One
Air Handling Unit is used to serve the common areas of the testing facility and two
identical air handling units (AHU-A and AHU-B) serve test rooms of similar size and
type marked as Test Rooms A and B. Total four pairs of test rooms are available to
conduct field tests with different and varying parameters. Both the air handling units
run simultaneously to feed the air to the testing laboratory rooms for data collection,
recording, monitoring and analysis.
In this experimental study, researcher, used a sheet metal cylinder, referred as a tin
man, (shown in figure 3.18) behaving similar to a human being releasing CO2 gas,
(shown in figure 3.19) and metabolism heat, (shown in figure 3.20). CO2 gas cylinder
was used to supply CO2 gas. A light bulb depicts in figure 3.20 goes in on mode
indicating a human presence for metabolism heat generation. The light bulb when
goes off indicates no human presence and therefore no heat generation.
Figure 3.18: West B Room with Four Tin Men. (Zhang Li, 2011)
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Figure 3.19: Flow Meter used to Control the CO2 Flow Rate. (Zhang Li, 2011)
Figure 3.20: Inside of a Tin Man. (Zhang Li, 2011)
CO2 sensors were installed in multiple locations like, inside room, on a return air duct,
on AHU’s outside in-order-to measure the CO2 concentration due to human activity
and to record the outdoor air CO2 concentration as well. When the CO2 concentration
rises indoors, the fresh air damper opens more to introduce required outside air
quantity into the room to maintain set point CO2 concentration. Fresh Air quantity
reference values were taken from ASHRAE standard 62.1-2004 with office work
activity level.
The experimental work as clear from above mentioned stages of activity is time
consuming, needs lot of resources and manpower to conduct the test in addition to the
climatic conditions round the year. It is worth noting that the experimental research
study also becomes limited in its application.
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3.4.2
ENERGY MODELING
Modelling requires computer hardware, software, technical, architectural information
and expertise to operate and analyze the modelling inputs and outputs. Modelling
method is encouraged since it provides virtual environment, time saving, and no any
geographical constraints, in addition the method is very much economical and
supported to adapt by professionals and industry experts. Azhar et al (2008) states, “A
BIM carries all information related to the building including its physical and
functional characteristics and project life cycle information, in a series of smart
objects”. In an other research study conducted by Azhar et al (2010).
The most important requirement is to choose the most effective and advanced
software tool, shall have strong skills to operate the software. The second requirement
is to have all the data for the weather parameters, building fabric, building type,
orientation, building location, occupant loads, occupant profile, appliances, ASHRAE
standard 62.1-2010 & 2010, Dubai Municipality and Abu Dhabi Municipality or local
body regulations. Upon putting all the data as deemed necessary software starts
calculating and modelling the energy requirements to establish a base case; a business
as usual case. Prescriptive methods as mentioned in ASHRAE standards 62.1-2007
and 2010 values are also taken into consideration and calculations are run. Finally the
Demand Controlled Ventilation Method as recommended by ASHRAE standard 62.12010 and 2010, local and international standards recommending & enforcing
sustainability are followed and simulations are run accordingly. Comparisons are
made on base case (business as usual), ASHRAE standard 62.1-2010 and 2010 and
CO2-based demand controlled ventilation simulation results.
To perform the modelling, there is multiple numbers of software tools available in the
industry which is adapted according to simulation intensity, accuracy of results,
software accessibility, software cost and annual maintenance charges, software’s
continuous update and recommendations by regulatory authorities.
The tools required to conduct modeling are; Personal Computer, Software, Software
awareness at medium to expert level and project data.
3.4.3
FIELD MONITORING
Another method of conducting research study on Demand Controlled Ventilation is
field monitoring. Various research studies across the globe are conducted. This
requires a building facility with installed air-conditioning, ventilation, cooling and
heating system, or only air conditioning and ventilation system. Medium to large scale
modification my need to be carried out within the enclosed air-conditioned space.
.
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Figure 3.21: Schematic of the investigated office site. Fan, Y., et al (2013)
Figure 3.22: Investigated office site interior photograph. Fan, Y., et al (2013)
Fan, Y., et al (2013), conducted a filed based study on the energy saving effects using
CO2 -based demand controlled ventilation using an office HVAC system in Japan.
Entire building’s fabric data, construction material, orientation and occupancy profile
were studied carefully and analyzed. All CO2 sensors used were calibrated and
measuring accuracy of the sensors was verified. The field monitoring research study
was carried out using heat pump heating and cooling system, energy recovery
ventilators (ERV) and CO2 sensors in an occupied real office building during mild
winter and summer seasons. The study was carried out for few days only, however,
this helped to understand the effectiveness of ERV with CO2 -based demand
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controlled ventilation. Collected field monitored data was compared with simulation
results of same facility for that particular time and therefore, close similarity was
found between both the results i.e., field monitored and simulated with some
exceptions due to the air leakage issues observed in the ducting system. However, the
difference in both the results was not that significant.
Field monitoring research method is very much effective, encouraging and promising
in the field of CO2 -based demand controlled ventilation, however, it is resource and
time consuming and is therefore recommended for resourceful scientific organizations
and institutes.
3.5 COMPARISON OF METHODOLOGY AND SELECTION CRITERIA:
Research methodologies reviewed above are experimental, modeling and field
monitoring studies. All these three methodologies have some pros and cons depending
on the scale, importance, requirements, needs, applicability, accessibility, operability,
time frame, budget availability, constraints, expertise and limitations, etc. at the
current stage of technological developments, enhancements and availability of tools,
fast track and satisfactory results, one can easily adapt to simulation methodologies.
Simulation and Modeling is accepted and recommended by industry experts,
professionals, regulatory bodies and local and international regulations based on
certain advantages, case studies and many other essential parameters which will be
talked about further.
Martinez, M.E., et al (2013), focused on importance of simulation tools where the
researcher concludes that proper use of simulation tools could provide energy and
money savings of up to 30%. Building simulation tool is now widely used by
academicians and building industry related professionals, architects, designers and
engineers and has seen subsequent growth since its emergence three decades earlier. It
is encouraging to know that research in the field of developing and updating
simulation tools is enormous. Governments and private partners are investing a lot of
resources in creating such tools globally.
Experimental or Laboratory test methodology, based on the information collected
through various studies of literature review we can analyze that it is limited in its
application, time consuming, expensive to arrange the tools, tool kits and ancillaries
and to develop a suitable environment for the prototype test. Moreover, the researcher
requires waiting for longer periods to collect the test results. In the event of any
change in weather or if weather goes harsh the researcher may need to repeat the
entire test cycle. On the contrary simulation method is time saving, quicker, efficient
due to computational power of the hardware and software tools.
The field monitoring methodology becomes limited to the specific site, project and
geographical location only. Researcher does not have flexibility in permutations and
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introduction of different combination. Moreover, its scale goes smaller. Whereas the
efforts, time, financial sources required are immense. The data collected for one type
of building cannot be allowed to be used in another type of building. For example
occupancy profile of hospital is entirely different than hotel, restaurant, residential,
commercial and industrial buildings and vice versa. Therefore, research done on one
building cannot be used on another type of building. On the contrary simulation
technique with change of profile, building data can be adapted to any type of building
with less efforts and time.
Therefore, the justifications made according to the data collection through various
literature reviews it is concluded to adapt simulation technique to be used in
performing this study. The simulation tool used provides flexibility and variety of
input parameters that suit the research requirements with no geographical constraints.
The software package is well tested and authenticated by experts in the industry. The
graphical representation in figure 3.23 shows the different stages of producing Energy
Efficient Building design.
Figure 3.23: Graphical abstract (Source: Adapt4EE Project).
The major paths shown are; Real Life Facilities, Real Life Data Acquisition, Training
of industry experts, Building Data Modeling, Simulation and Design and
Construction. As discussed the process goes handy and smarter and easier once the
project modeling data is available.
The stake holders involved in project design and execution require simulation tools
well ahead of the project concept phase or early design phase to focus on the energy
efficient project design strategy utilizing sustainable tolls and simulation software.
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Therefore, as a matter of fact the building simulation tool has become an integral part
for designers to use in the early design phase of the building. Local and international
regulations and regulatory bodies have made it mandatory to perform dynamic
simulation for any project announced within their jurisdiction. Locally Dubai Green
Building Regulation by Dubai Municipality and sustainability system called
ESTIDAMA of Urban Planning Council Abu Dhabi has made it mandatory to adapt
dynamic simulation for any private or government project. The project simulation
platform is shown in detail in Figure 3.24.
Figure 3.24: Project Simulation platform (Source: Adapt4EE Project).
Project Simulation Platform involves all the stake holders to join hands together to
deliver a unique and energy efficient project.
3.6 CHOOSING A SIMULATION SOFTWARE:
In today’s technological environment simulation has become equally important as the
computer and gadgets. Building industry professionals, manufacturers and all other
fields are swiftly shifting to simulation / modeling prior execution of real work. But at
the same time it has been challenging and a critical decision to choose right
simulation software. The application and growth of simulation tools has been very
fast due to the availability of highest expertise levels in the field of software
development. Numerous professional software companies are on the run offering state
of the art technologically driven modeling tools. Majority of freeware tools and
softwares are available and thus has been difficult to select the right choice.
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According to Attia, S., (2011) who has compiled the technical report on analysis and
comparison of ten different simulation tools, states that the current simulation tools
are inadequate, user hostile and incomplete to be used by architects during the early
phases of design. There are 413 Building Energy Software Tools registered on U.S
department of energy website. (U.S. Department of Energy, 2013). Therefore, the
higher number of resourceful tools aggravate further to select the right modeling tool.
It is worth noting to record that during the simulation tools directory listing of 2010
on DOE website, total 389 tools were accepted and made available on the website,
however, only less than 40 tools were used by architects during early design phase of
the building. (Attia., S, 2011). For selecting the right modeling tool, the evaluation
criteria shall be adjusted to check and validate all the required parameters of the
software tool under observation. Figure 3.25 outlines the criteria for software analysis
and selection. Building Process Simulation software shall comply with;

Usability and Information Management (UIM) of interface

Intelligence and Integration of design Knowledge-Base (IIKB)

Accuracy of tools and Ability to simulate Detailed and Complex building
Components (AADCC)

Interoperability of Building Modeling (IBM)

Process Adaptability and Integration with Building Design Process (IBDP).
Figure 3.25: Selection criteria & NZEB tools mechanics. Azadeh., et al (2009)
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Azadeh., et al (2009) discussed a robust decision-making methodology based on
Fuzzy Analytical Hierarchy Process (FAHP) for evaluating and selecting the
appropriate simulation software package. They developed simulation software
selection criteria, containing important parameters to be considered in choosing the
package. The criterion followed is User, Testing and efficiency, Vendor, Model input,
Output, Execution and Animation. Each of the mentioned criteria is classified with
sub-criterions.
Azhar et al (2009), argued on energy modeling tools and analyzed based on various
sustainable features, as mentioned in Table 3.1. The weightage of IESVE as seen from
the Table 3.1 is 180 on the scale of 1-10, second and third ranking goes to ECOTECT
and GBS respectively. However, 2013 version of IESVE is further updated and
contains advanced, enhanced and interactive features of data inputs, outputs,
calculations and simulation results. Geometrical building may be imported and edited
from range of other software tools like, CAD/BIM systems; e.g., SketchUp, Revit,
Trelligence, Vectorworks, Graphisoft and other formats like gbXML, IFC, DXF files.
The research work within the scope of this study requires IESVE application due to
the strong features of energy calculation, user permitted editing facility in
programming of sensors, sensor locations, controls, control logics, availability of
HVAC component library, modification on required prototype HVAC systems.
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Table 3.1: Building Performance Analysis Software Evaluation Matrix (Azhar et al,
2009 and HCC, Atlanta)
3.7 SOFTWARE INFORMATION and DESCRIPTION:
The use of IESVE software helps architects, engineers, academics and researchers to
input and analyze the complete building information with environmental analysis
function tools. IESVE; the dynamic simulation tool, helps effectively to analyze
building energy consumption behavior, optimize building performance, recommend
best orientation for energy conservation, calculate CO2 emissions, energy
consumptions hourly, daily, weekly, monthly and annually. Simulation outputs can be
taken in any format like tabular, graphical, charts, combining and comparing the base
case and optimum case. Cooling and heating loads can be calculated based on
ASHRAE specified methods, simulation method or even a batch simulation can be
performed. Demand controlled ventilation analysis can be done using various input
types, like prescriptive method as per ASHRAE standards i.e., fixed ventilation
method, occupancy based demand controlled ventilation and CO2 -based demand
controlled ventilation method. IESVE® has currently total nine applications to
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facilitate complete building information modeling. The applications are;
ModelBuilder, Solar, Energy, Compliance and Ratings, Lighting, Cost & Value,
Egress, Mechanical and CFD. All these nine applications contain twenty-one subapplications used for complete building modeling. These are;

Model Builder; it contains ModelIT and Components

Solar; it contains SunCast only

Energy; it contains Apache, ApacheHVAC, MacroFlo, Vista, VistaPro

Compliance and Ratings; it contains ASHRAE 90.1 App. G-PRM

Lighting; it contains FlucsDL, FlucsPro, LightPro, RadianceIES

Cost & Value; it contains CostPlan (pre-VE2013), LifeCycle (pre-VE2013),
Deft

Egress; it contains Lisi, Simulex

Mechanical; it contains IndusPro, PiscesPro

CFD; it contains MicroFlo
Building Template Manager allows to put General information, Construction
materials selecting from vast construction material library to add or edit, types of
openings, thermal conditions of rooms, systems, internal gains, air exchange, electric
lighting in general and lighting luminaires and finally the radiance analysis. After
defining input and output parameters, Apache Weather / Location Data Base Manager
sets the building location, weather profile by activating Location & Weather Data
Wizard to select from four choices of “ASHRAE database”, “Custom database”, “Old
format Apache .apl file” or “Will use or edit data in dialog” choice. Apache Profile
data base Manager contains a built-in occupancy profile format with a choice of
editing further as deemed necessary. CO2 -based demand controlled ventilation
simulation, energy calculations, energy savings and conservation analysis is done by
activating ApacheHVAC application of IESVE. The most advantage of this
application is to have HVAC system library popped in upon clicking ApacheHVAC
application and with careful check and study on library components, researcher can
select a system of his/her choice and can do editing wherever required. Upon selecting
HVAC system, researcher is to assign rooms/spaces to be simulated to the imported
HVAC system.
The application of IESVE® to this research study as required have the following
features to perform the modeling and simulating CO2 -based demand controlled
ventilation.
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
Model Import or attach from Auto-CAD Autodesk®:
ModelIT of ModelBuilder accepts dxf format to be attached on ModelIT and to trace
the inner or outer volume of the model.

Weather Tool:
Weather template manager contains weather data files of almost entire locations
across the globe or the nearest weather data files.

CO2 -based Demand Controlled Ventilation HVAC system template:
HVAC system library provides numerous HVAC system templates to choose from.
The template contains all possible configurations of HVAC components with sensors,
monitors and controllers with default programming. All this programming can be
edited as required for type of results desired.

Thermal Calculation and Simulation:
Apache tool is used to perform thermal calculations and simulations. Heat loads are
calculated smartly and swiftly by using this tools after performing some inputs and
adjustments in the system.

Sun Casting:
This tool performs solar shading analysis which is also required for precise and
professional heat load calculations and simulations.

Lighting:
Lighting application is one of the important tool that gives flexibility in selecting
luminaire data base using LighPro tool, performing daylight simulation with FlucsDL
and perform electric and day lighting design and analysis using FlucsPro. Radiance is
one of the most important tool used to perform day lighting and electric simulation.
Lighting application tool is required to add sensible load of electric lighting and
natural lighting in addition to analyze the lux level and glare issues.

Result Analysis:
Vista and VistaPro is used finally to do analysis on the achieved results. Results can
be viewed in nay format e.g., tabular, graphical and in the form of charts etc.
More information on software validation can be read on the following web portal;
http://apps1.eere.energy.gov/buildings/tools_directory/software.cfm/ID=615/page
name_submenu=energy_simulation/pagename_menu=whole_building_analysis/p
agename=subjects
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CHAPTER 4: SIMULATION MODEL
4.1 MODEL DESCRIPTION:
The model selected to study CO2 -based demand controlled ventilation is located in
the emirate of Dubai, UAE in Jebel Ali Freezone Authority (JAFZA) area, under the
jurisdiction of Trakhees authority, JAFZA. Trakhees is an independent authority
having its own regulations and standards, however, since Dubai Municipality (DM)
regulations have been in place for a quite longer time and are very stringent and
strictly followed across Dubai emirate, therefore, JAFZA have adapted DM
regulations. JAFZA is also obliged to follow any decree issued by Dubai Government
/ Dubai Municipality on sustainability and sustainable developments across the Dubai
Emirate. Therefore, in this research study DM regulations and Dubai Government
Decrees on sustainability will be followed including ESTIDAMA of Urban Planning
Council Abu Dhabi, UAE.
The building proposed in this study is already constructed and occupied, therefore
existing design parameters shall be taken, however, the design is in compliance with
low energy consumption regulations of Dubai Municipality regulations followed
during design and construction phase from 2007 to 2011. Building design was
completed during Jan 2007 and approved by Trakhees, JAFZA under DM regulations
and standards. Construction work started from March 2007 and completed in
December 2011. The building has 3B+G+1+2-8 hotel floors+9-19 Residential +
Mechanical floor + 21-43 residential. It is mix facility of Hotel accommodations,
Commercial and Residential.
Figure 4.1: Laguna Tower, JLT, Dubai, UAE. (Google Maps, 2013).
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Figure 4.2: Laguna Tower image (www.hospitality-On.com, 2013)
4.2 BUILDING SIMULATION; MODEL DETAILS:
The building model is developed in sub-urban development area of Dubai located at
Jumeirah Lake Towers Development. Jumeirah Lake Towers (JLT) is located on left
bank of Sheikh Zayed Road travelling from Dubai to Abu Dhabi at coordinates of
25.0658 N and 55.13821 S at an altitude of 2.4 meters (APLocate, IESVE). Google
maps Figure 4.1 shows the Laguna Tower location in JLT, Dubai, UAE, whereas the
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final finished layout of the tower is shown in figure 4.2. Laguna Tower comprises of
43 floors with concourse level and three basement levels. Promenade (basement-1)
level encompasses Senior Management Staff Offices, Lift lobby, Energy Transfer
Station Room (MEP Room), MDF Room, LV Room, a chain of international, Arabic
and Asian restaurants. Concourse (ground) floor level includes hotel reception, hotel
lobby, apartment lobby, lift lobby, hotel services, sub-station, management staff
offices, coffee shop, and two restaurants. First Floor level contains males and female
gymnasium, male, female toilets, different beauty and health treatment rooms,
resident’s and member’s club, steam and sauna rooms, lift lobby, swimming, lap and
whirl pool and six business meeting rooms. Second to eight floor levels are serving 5
star hotel rooms with 13 king rooms, 5 twin rooms and 4 suites on each level. Level-9
to 19 is the residential apartments, whereas, all the levels are with different types of
apartments. Level-20 is the mechanical floor level and contains Mechanical services
like fresh air handling units, secondary ETS room, chilled water pumps and calorifiers
(hot water heaters). Level 21 to 36 is the residential apartments with different size and
area arrangement of each apartment, however, the total floor area is similar in size,
compared with any of the floors of level 21 to 36. Level-37 to 38 and 39 to 40 are loft
apartments whereas level 41 and 42 are the pent house apartments. Level-43 contains
building services like GSM room, IDF room, electrical room, store and multi-purpose
recreational room. (Algurg Consultants Dubai, 2007).
Floors 9, 10, 11 to 12, 13 to 19 and 21st to 30th are slightly different to each other in
terms of layout arrangements. Only few floor levels different in nature and application
such as basement, concourse, first, second and thirteenth floors are used in energy
model. Incase all different floors having slight modifications if considered, shall be a
huge task for simulation, data collection, evaluation and report writing. Considering
the time constraints, only mid-level residential apartments located at level 13th is
considered. Figure 4.3 shows excerpt from basement, first floor, second floor and
thirteenth floor (refer Appendix-A Figure A-1 to -5 for Energy Model zones).
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Figure 4.3: Selected Zones from different floors . (Courtesy of Algurg Consultants
Dubai, 2007)
4.3 BUILDING MODEL FINISHES AND HVAC SYSTEM DESCRIPTION:
The building model under simulation has the following construction material
combination. The material used in the building construction is selected from Dubai
Municipality’s approved list of materials and over-all heat transfer co-efficient and UVales are calculated using Dubai Municipality provided calculation sheet. The Uvalues used in both the Baseline Case and Proposed Case are kept unchanged due to
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the limited scope of this study. The scope of this research study is only Demand
Controlled Ventilation and the analysis made shall be on the impact on HVAC system
capacity, thermal energy consumption, electrical energy consumption and savings and
CO2 emissions in all cases. Hence, DM compliant U-values and shading co-efficient
values are used as shown in Table 4.1.
Table 4.1: Over-all Heat Transfer Co-efficient.
S. No.
Baseline Case
1
2
3
Proposed Case
4
5
6
Description
Performance U-Value
Total R-Value
External Wall
Roof
Window
W/m2.OK
0.4533
0.3379
1.8777
m2.OK/W
2.0361
2.8196
0.6413
External Wall
Roof
Window
0.4533
0.3379
1.8777
2.0361
2.8196
0.6413
HVAC system installed in the building under analysis is a conventional system and is
based on Fan Coil Units, Air Handling Units, Fresh Air Handling Units with Heat
Recovery, Heat Exchangers on Basement and Mechanical (20th Floor) floor level,
Secondary pumps in Basement and Tertiary pumps on Mechanical Floor Level. The
building is connected with District Cooling System provided by Palm District Cooling
Authority. Fresh Air Handling Units installed in Basement Floor, Ground Floor,
Mechanical Floor and Roof are Constant Air Volume based. Fan Coil Units are with
three speed controller and Air Handling Units are with Constant Air Volume. Private,
Public Toilets and Residential Kitchen Extract is connected with Fresh Air Handling
Units, whereas Commercial Kitchen extract is directly exhausted to ambient air.
Make-up air, directly taken from ambient, is supplied to the Commercial Kitchens and
therefore is 80% of the Extract Air and the remaining 20% is taken from the treated,
cooled and dehumidified fresh air from the Fresh Air Handling Units.
Lighting Load, Equipment Load and Occupancy used is as per the recommendations
of ASHRAE Standard 90.1-2007. In both the Baseline Case and Proposed Case the
above parameters shall be unchanged throughout the entire modeling process.
4.4 MODELING PROCESS:
Following are the different stages carried throughout the modelling process using
ASHRAE standard 90.1 Building Performance Rating Method (BPRM). Energy
simulations shall be run for uncontrolled ventilation and demand controlled
ventilation. Therefore, it shall be recorded here that all input parameters for interior
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and exterior heat gain inputs shall be kept unchanged for all simulation cases.
Likewise over-all heat transfer coefficient (U-Values), Shading Co-efficient (SC),
Lighting Load, Equipment Load, Occupant density and Ventilation rates shall be kept
same in both Baseline and Proposed Cases.

Building model:
The building under analysis is the existing building constructed in 2010 in JLT
located on the left bank of Shaikh Dhaid Road from Dubai to Abu Dhabi.
Building drawings are constructed in Auto-CAD in dwg format. These figures are
single zone and individual typical floors. Auto-CAD drawings in dwg format shall
be converted in to dxf format and imported to IESVE for model building. Since
the building has versatile applications / zones such as restaurants, recreation,
fitness, executive meeting rooms, guest rooms and residential, therefore, all
different models shall be prepared for energy analysis.

Weather parameters:
UAE weather parameters specified in ASHRAE Weather data base shall be
assigned to project model with some modification matching to Dubai Municipality
Green Building regulations and specifications specified weather parameters.
Based on the location, the building is classified by ASHRAE 90.1 as 1B. Weather
data files extracted from Apache weather data files shall be linked or assigned to
the project model. (ASHRAE 90.1, 2004)

Construction Template:
External Wall: Over-all heat transfer co-efficient values as per the project
specified material in compliance with Dubai Green Building Regulations and
Specifications 2011 and ASHRAE standard 90.1, shall be used.
External Window Glazing: Over-all heat Transfer Co-efficient U-vales and
shading co-efficient shall be used as per the material data sheet in compliance
with Dubai Green Building Regulations and Specifications 2011 and ASHRAE
standard 90.1.

Thermal Template:
Thermal templates recommended as per ASHRAE standard 90.1 – 2007 shall be
used. Thermal templates include lighting load, equipment load and people or
occupant density including operational or working profiles.
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
Load profile:
ASHRAE standard 90.1 – 2007 recommended load profiles shall be assigned to
the building model.

Occupancy profile:
Occupancy profiles used in simulation shall be as per ASHRAE Standard 90.1 –
2007.

Model Parameters:
CO2 concentration levels of 800 PPM shall be defined and fixed in variable load
profiles. Dubai Green Building regulation, Estidama and LEED standards shall be
referenced. The most stringent regulation in terms of CO2 concentration level
within the space shall be followed and in UAE’s case, the most stringent
regulation is Dubai Green Building regulation and specifications, 2011.

ASHRAE standard occupant density: Occupant density as per ASHRAE 62.12010 and occupancy profile as per ASHRAE STANDARD 90.1-2007 shall be
used. Two simulations each with CAV system with no CO2 Control and
Monitoring and another with VAV system and CO2 Control and monitor shall be
used.

Baseline and Proposed Case:
Simulations shall be run based on Baseline Case and Proposed Case model using
“whole day full occupancy” method with ASHRAE STANDARD 90.1-2007
recommended occupancy profiles. CO2 controller shall be disabled in “Baseline”
case and enabled in “Proposed” case model. Baseline Case and Proposed Case
shall have two simulation runs, each with maximum amount of outside air,
limiting to 800 PPM and ASHRAE standard 62.1-2010 based outside air values.

Examine results:
Multiple case configurations shall be developed and energy analysis to be done.

Sensitivity Variable:
IESVE-Pro shall be tested for sensitivity variables to check the software response
to changing variables.

Final results:
Energy consumption, energy savings, cost savings and annual CO2 reductions
using CO2-based demand controlled ventilation exercise shall be performed.
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4.5 MODEL VALIDATION:
The IESVE software shall be validated by running different case scenarios of CO2
concentrations and response given by software as per required or set point CO2
concentrations. The CO2 concentration values is shown in Table-4.2 are based on
minimum amount of outside air assigned to the model, as recommended in ASHRAE
Standard 62.1-2010. However, in these simulation runs CO2 controller and sensed
variable set point of 725 PPM was assigned to the model with proportional bandwidth
of 150 PPM i.e., between 650 to 800 PPM.
Table 4.2 shows CO2 concentration values for “Proposed Case Model-ASHRAE
standard 62.1-2010-CO2-Based-DCV”. The outside air supplied to each space is the
minimum outside air as recommended for breathing zones. The CO2 concentration as
resulted in the space shows higher values, climbing to 1409 PPM in some cases. The
minimum value shown is 361 PPM, the maximum value recorded is 1409 PPM, and
the mean value revolves around 644 to 685 PPM. The minimum and mean values
indicate that at low occupancy CO2 levels are under control but when occupancy
increases the CO2 starts increasing while the CO2 controller is continuously on,
demanding for more outside air. Since no additional amount of outside air is
available, therefore, space CO2 concentration goes high.
On the contrary when maximum amount of outside air is assigned to each space
(limiting amount of outside air to maintain 800 PPM in both the Baseline and
Proposed Case models), the resultant CO2 concentration within the space appeared as
per the sensed variable of 725 PPM and it ranges between 650 to 800 PPM with little
increment of 10 to 12 PPM in some cases on top of 800 PPM. The proposed case
model- CO2-based-DCV CO2 concentration values are shown in Table 4.3. Outside
Air pumped to each space is the enough quantity of air to satisfy the indoor space
CO2 concentration of 800 PPM. The CO2 controller starts allowing more amount of
outside air by varying modulating volume control damper when CO2 concentration
starts increasing by the influx of occupancy. Due to the maximum allowable outside
air the controller responds to the requirement of outside air and starts modulating the
volume control damper to maintain the CO2 concentration until 800 PPM.
Table 4.2: Proposed Case Model-ASHRAE standard 62.1-2010-CO2-based-DCV (VE Model)
Var. Name
Type
Meeting_Rm4 (p_laguna_ash)CO2 concentration (ppm)
Diniing Area (p_laguna_ash.)CO2 concentration (ppm)
Restaurant (p_laguna_ash.)CO2 concentration (ppm)
Dining area (p_laguna_ash)CO2 concentration (ppm)
Restaurant (p_laguna_ash)CO2 concentration (ppm)
Min. Val
374
361
361
361
361
Min. Time
05:30,19/Jul
09:30,11/Jul
09:30,28/Mar
09:30,11/Jul
09:30,11/Jul
Max. Val
1409
1021
1032
1059
957
Max.Time
16:30,25/Jan
19:30,23/Jan
19:30,31/Jul
19:30,03/Apr
19:30,18/Dec
Mean
772
671
673
685
644
Table 4.3: Proposed case model; Max. Outside Air-CO2-based-DCV; Space CO2 concentration
Var. Name
Type
Meeting_Rm4 (p_laguna)CO2 concentration (ppm)
Diniing Area (p_laguna) CO2 concentration (ppm)
Restaurant (p_laguna) CO2 concentration (ppm)
Dining area (p_laguna) CO2 concentration (ppm)
Restaurant (p_laguna) CO2 concentration (ppm)
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Min. Val
360
360
360
360
360
Min. Time
05:30,28/Jun
09:30,11/Jul
09:30,24/Jan
09:30,10/Jan
09:30,11/Jul
Max. Val
791
784
793
793
777
Max.Time
08:30,27/Sep
18:30,25/Dec
18:30,30/Jan
18:30,06/Mar
19:30,13/Feb
Mean
541
599
599
605
585
The higher CO2 concentration values shown in Table 4.2 and controlled values of
approximately 800 PPM in Table 4.3 indicate the model validation. Therefore, the
software recommended in Energy Model Simulation is validated and shall be applied
in this research study.
4.6 SIMULATION PARAMETERS:
Variables and parameters used in performing simulation of selected floors of Laguna
Tower to perform energy modeling are taken from architectural layout, building
indoor and outdoor material configuration, lighting and occupant density as per
ASHRAE standard 90.1-2007 recommendations, occupant density as per ASHRAE
standard 62.1-2010, ventilation flow rates as per the recommendations for maximum
amount of outside air, limiting to 800 PPM and outside air values specified in
ASHRAE standard 62.1-2010. (ASHRAE Standard 62.1-2010).
4.7 SIMULATION MODEL CONFIGURATION
The building under study is a high rise tower comprising three basement floors,
concourse, 1st floor, 2-8 hotel floors and 13 to 19 residential, 20th floor for mechanical
services, 21st to 43rd residential floors. Only six different levels are selected for energy
simulations with three different simulation runs, i.e., Promenade level; housing mostly
the restaurants, Concourse floor; occupying hotel services, lobbies, restaurants and
offices, First Floor level with fitness, meeting rooms and offices, 2nd to 8th floor with
guest rooms and 13th floor with residential apartments, however, 13th floor is
duplicated and constructed at top level of the building to include the impact of roof
floor. Two Energy Models are created i.e., allowing maximum amount of outside air
but limiting the supply to maintain 800 PPM CO2 concentration levels in baseline
case with CO2 controller “OFF” and in a proposed case with CO2 controller “ON”
with midband – sensed variable set at 725 ppm and the proportional bandwidth set at
150 PPM. Demand Controlled ventilation is set at “N” for Baseline case. The set point
values of CO2 controller and its ON / OFF status as discussed in this section is
applied to the both models named as, “Maximum Outside Air limiting to satisfy 800
PPM CO2 concentration”, and “ASHRAE standard 62.1-2010 based minimum
outside air for breathing and ventilation rate”.
4.7.1
Maximum Outside Air:
 Baseline case model: Occupant density shall be taken from ASHRAE
standard 62.1-2010, whereas occupancy variation profile to be kept at full
occupancy throughout the day. The profile assigned shall be at “On
Continuously”. This has been the industry practice throughout the UAE,
Middle East and even globally. Energy Model shall be made without CO 2 based Demand Controlled Ventilation, keeping CO2 controller “OFF”.
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 Proposed case model: Occupant density shall be taken from ASHRAE
standard 62.1-2010, whereas occupancy variation profile to be variable
throughout the day as per the ASHRAE 90.1 recommendations. Energy
Model shall be made with CO2 -based Demand Controlled Ventilation
criteria, keeping CO2 controller “ON”.
4.7.2
ASHRAE Standard 62.1-2010 based minimum outside air:
 Baseline Case Model: Occupant density and occupancy profile as per
ASHRAE standard 62.1-2010, shall be used. Minimum default ventilation
rates required for breathing zones and ventilating the space as per ASHRAE
standard 62.1-2010 with ASHRAE standard 90.1 “space by space method”
shall be used. Energy Model shall be made without CO2 -based Demand
Controlled Ventilation, keeping CO2 controller in “OFF mode”. .
 Proposed Case Model: Occupant density shall be taken from ASHRAE
standard 62.1-2010, whereas occupancy variation profile to be variable
throughout the day as per ASHRAE standard 90.1 recommendations. Energy
Model shall be made with CO2 -based Demand Controlled Ventilation
criteria, keeping CO2 controller “ON”.
IESVE model for proposed building (Laguna Tower) is generated and is shown in
Figure 4.4 with two different views, and for simulation purpose only six floors are
taken. The model designed for simulation is shown in Figure 4.5.
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Figure 4.4: IESVE Model of Laguna Tower, two different views (VE Model)
Figure 4.5: IESVE Model of selected floors under simulation. (VE Model)
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Figure 4.5 shows six different levels of the model under simulation. The first level
shown in the model represents promenade level, the second level is for concourse
floor, the third is for fitness floor, the fourth is for second floor, the fifth represents
thirteenth floor and the last one is for roof floor. The fifth and the last floors are
typical and the purpose to simulate the last similar floor as of the thirteenth floor is to
see the impact of heat transfer on the roof floor, since the typical floors’ thermal and
electrical energy shall be multiplied to conclude the energy consumption of Baseline
and Proposed Case.
Rest of the floors are dedicated for residential units from 9th floor to 43rd floor.
Residential floors are non-typical with almost 6 different apartment schemes. To
study the ventilation load impact of residential units only one floor i.e., 13th floor level
is added in simulations.
4.8 SIMULATION DATA INPUT:
It is worth noting here that the scope of this research is to study the impact of Demand
Controlled Ventilation. All variables whether inside the model such as occupant
density, lighting load, equipment load or outside such as external wall U-Values,
Glazing U-values and Shading co-efficient are kept same in all cases i.,e Baseline and
proposed case. Variables entered into the simulation software to analyze the Demand
Controlled Ventilation systems’ energy savings potential; are detailed as below:
4.8.1
Building orientation:
Location plan as approved by Dubai Municipality and Trakhees, JAFZA shows the
plot orientation (Architectural drawing A/001). The building model is assigned
default North orientation, specified in IES VE-Pro ModelIT application. The building
model under study is a test case representing all the building types in hot and humid
climate across the globe. Therefore fixing the orientation to this particular case is not
encouraged. Default North orientation of the building model under study is shown in
Figure 4.6.
Figure 4.6: Default North Orientation. (VE Model)
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4.8.2
Weather parameters:
APlocate tool of IESVE Weather database default values for Dubai International
Airport are selected with DBT 44.2 OC and WBT 23.9 OC, however, industry standard
practice and recommendations of Dubai Municipality goes for little higher values for
ambient summer design conditions i.e., DBT 46 OC and WBT 29 OC. Dubai Green
Building regulations and specifications recommends to use the same ambient
parameters as of DM recommended., however, since the focus of this research is to
study the energy impact of CO2 -based demand controlled ventilation in hot and
humid climate of Dubai, UAE, therefore, DM recommended ambient temperature
parameters are used. (Green Building Regulations & Specifications, 2014). Table 4.4
shows ASHRAE standard Profile of Design Weather Data. (IESVE, Aplocate).
Table 4.4: Design Weather Data for Dubai International Airport. (VE Model)
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4.8.3
Over-all heat transfer coefficient (U-Value):
Over-all heat transfer co-efficient for external wall, external glazing, internal glazing,
partitions, roof, ground/soil are calculated by a design consultant using Dubai
Municipality provided excel sheet based U-value calculator. The Building Template
Manager (BTM) of IESVE specifies different templates and it includes construction
template as well. The U-values mentioned in Construction Template of BTM in Table
4.5 are used. These values are within the limits recommended by Dubai Green
Building Regulations and Specifications and Urban Planning Council of Abu Dhabi
Municipality. The default ASHRAE standard 90.1, U-values as shown in
Construction Template are edited and modified to match generic U-values. The
purpose of editing and matching U-values is to maintain the similarity between both
the Baseline Case and Proposed Case material for analyzing the impact of outside air
regulation on energy consumption, system sizing and CO2 emissions.
Table 4.5: Building Material Construction Template (Over-all Heat Transfer Coefficient). (VE model)
4.8.4
Shading Co-efficient:
Shading co-efficient for glazing is provided by a glass supplier/manufacturer is used
in the Energy Model Construction.
4.8.5
Maximum Amount of Outside Air:
The baseline case shall be with constant air volume system with no control on CO 2
concentration within the space. The outside air inputs used in this case are based on
Demand Controlled Ventilation requirements on outside air to maintain 800 ppm CO2
concentration. Figure 4.7 and Table 4.6 shows CO2 concentration at multiple
ventilation rates in pursuant to CO2 concentration. The CO2 concentration levels and
Outside Air quantity is for Sedentary level and adult occupants. The spaces under
energy model are versatile in nature and with different type of activity levels such as
Offices, Corridors, Restaurants, Food preparation, Treatment Rooms, Sauna, Private
P a g e | 73
and Public Toilets, Residential and Conference / meeting rooms. The outside air
values assigned to the space is either lower or higher than the specified levels of
Figure 4.7 and Table 4.6.
Figure 4.7: CO2 Concentration balance point at Various Ventilation Rates. (Courtesy
of AirTest)
The sample Outside Air values depending on activity level are just assigned to the
“Thermal Template” as shown in Table 4.7, (refer Table C3, Appendix C for rest of
the spaces) in first instance and later few iterations are run to check the CO2
concentration in each space and accordingly values are adjusted and reassigned to the
Thermal Template.
Table: 4.6: Outside air requirement v/s CO2 concentrations. (Courtesy of Washington
State University)
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Table: 4.7: Outside air assigned to the spaces in Model (VE Model)
4.8.6
ASHRAE Standard 62.1-2010 recommended Outside Air:
The outside air to the model in this simulation run is assigned according to ASHRAE
Standard 62.1-2010 recommended values. Table 4.8 shows the minimum amount of
outside air and are assigned to each space in the model.
Table 4.8: Airflow and Occupancy as per ASHRAE standard 62.1 – 2010. (VE model)
4.8.7
Kitchen Ventilation:
Make-up air supply and extract air for Kitchens located in basement level-1
(promenade) and concourse floor (ground level) are assigned to the model, whereas
Residential Kitchens and Toilets are assigned ASHRAE standard 62.1-2010
recommended minimum exhaust rates. These recommended values are activated in
Building Thermal Template.
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Table 4.9: Exhaust Requirements as per ASHRAE standard 62.1 – 2010. (VE model)
4.8.8
Lighting Power Density:
Lighting power density for offices, hotels, resorts and restaurants is 10 Watts/m2.
(Green Building regulations and specifications, 2014). The values assigned to all the
spaces are based on ASHRAE STANDARD 90.1-2007 standard and are shown in
Table 4.10 for both Baseline and Proposed case. It is worth noting here that the LPD
values assigned to both the cases are kept same, since the variation in LPD is not the
part of scope of this study as the research is limited to study the impact of CO2 -Based
Demand Controlled Ventilation and its effect.
Table 4.10: Lighting power density as per ASHRAE STANDARD 90.1-2007. (VE
model)
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4.8.9
Equipment Power density:
Equipment power density numbers as shown in Table 4.11 are ASHRAE standard
90.1 – 2007 default values. These power density values are assigned to both Baseline
and Proposed Case simulations throughout the model. No changes, modifications and
updates shall be made to these values since this is out of scope of this research study
due to the limitations of CO2 -Based Demand Controlled Ventilation.
Table 4.11: Equipment power density as per ASHRAE STANDARD 90.1-2007. (VE
model)
4.8.10 Occupant Density:
Default values as recommended in Table 6-1 Minimum Ventilation Rates in
Breathing Zone; ASHRAE standard 62.1-2010 and ASHRAE standard 90.1 – 2007
are used in Baseline and Proposed Case. Table 4.12 provides details on occupant
density in each space used in Energy Model. However, some modification is made in
few spaces such as Occupancy in SPACE:Food preparation is made zero,
SPACE:Hospital/Motel/Guest rooms and SPACE:Office-Enclosed are assigned 2.25
people in each space.
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Table 4.12: Occupant Density (VE model)
4.8.11
Occupancy Profile:
Occupancy profiles as recommended by ASHRAE Standard 90.1-2007 are assigned
to the Energy Model. Sample Occupancy profile for Restaurant / Dining area case is
shown in Figure 4.8 (Refer Appendix B for all Spaces). Following spaces in the
Energy Model are assigned with Occupancy Profiles.
The Occupancy Profile for each of the following space is different in nature.

Hotel Guest Room profile

Restaurant profile applicable for breakfast, lunch and dinner

Gymnasium occupancy profile

Office occupancy profile

Meeting room occupancy profile. Kept similar to Office Profiles.

Resident’s occupancy profile. These are same as of Hotel Guest Room
profiles.

Kitchen exhaust fan profile. These are kept similar to Restaurant profile.
4.8.12 Simulation Temperature:
Simulation temperature assigned in Building Template Manager is 22 OC to all spaces
throughout the day. Unmet hours considered as per recommendations of Appendix G
of ASHRAE standard 90.1 is 1.11 and therefore, accordingly any room temperature
within the space beyond 23.11 shall be recorded as unmet cooling load hours.
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4.8.13 HVAC System:
System No. 9 DOAS FCUs as mentioned in ASHRAE 90.1 Table G3.1.1B is used to
run the energy simulations. Each type of space is grouped separately according to a
space-by-space method as mentioned in ASHRAE 90.1 and an HVAC system is
assigned to that particular group. A sample HVAC system for Dining and restaurants
is shown in Figure 4.9 (refer Appendix-D; Figure No. D-1 to D-6 for rest of the
cases).
Figure 4.9: HVAC System. (VE model)
Time switches, controllers of Fresh Air Fan, Extract Air Fan, FAHU cooling Coil,
FCU Cooling Coil, FCU Fan, Heat Pipe, Thermal Wheel, Adiabatic, Kitchen Extract,
Toilet Extract and Relative Humidity are shown in Appendix-D Figure No. D-7 to D32 for detailed review and understanding. Following are the componenet details of the
assigned HVAC system 9 to the Energy Model. There are total 35 points marked in
Figure 4.9 system. The HVAC System component description according to the mark
is mentioned in Table 4.13.
Table 4.13: HVAC System Component Description
1. MC1: Cooling coil SAT reset per
zone demand
3. MC3: Zone ventilation from
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2. MC2: Cooling SAT reset per zone
dehumidification demand
4. MC3: Zone ventilation from DOAS into
DOAS into FCU with DCV option
FCU with DCV option (if no DCV, set
(if no DCV, set flow at min = flow
flow at min = flow at max)
at max)
5. M2: FCU Cooling coil
6. M3: FCU heating coil
7. MC8: FCU heating coil-heat
8. M1: Principal conditioned space
control ramps to Max T before fan
steps up (2-speed) or ramps up
(VSD)
9. M4: FCU Fan
10. MC4: FCU heating airflow with 2SPEED FAN; for VSD FAN, change
proportional control band to 2.0
11. MC5: FCU cooling airflow with
12. MC7: Transfer airflow rate -- if EA and
2-SPEED FAN; for VSD FAN,
no SA, this must be > or = EA
change proportional control band
to 2.0
13. MC6: Exhaust Airflow Controller 14. Return Air Plenum -- match to zone and
-- zero if none
floor level on each M layer
15. Zone-level SA Duct Heat Gain
16. SC1: AHU Heating coil controlled to
maintain minimum SAT
17. S4: DOAS Heating coil
18. S3: DOAS Cooling coil
19. S2: SA Fan
20. S1: Face & Bypass damper set
21. Fresh Air Intake
22. S8: SA fan - ADDITIONAL Pressure via
ER wheel or other HX
23. Fresh Air Intake
24. Exhaust Air Outlet
25. S7: Energy recovery device
26. SC3: Energy recovery bypass damper
SAT target per RA temp
27. SC4: COOLING mode energy
28. SC5: HEATING mode energy recovery
recovery target per RA temp
target per RA temp
29. EA availability for energy
30. Exhaust Air Outlet
recovery (typ 0% or 100%)
31. S6: Exhaust Fan - system-level
32. Exhaust Air Duct
fan (adjust accordingly if local
fans)
33. FCU Supply/Return Air Duct
34. Transfer Air Duct
4.9 Simulation Case Configurations:
Two Energy models shall be prepared i.e., first energy model to be based on
“Maximum Outside Air” supplied to each space but limiting the outside air quantity
required to maintain CO2 concentration of 800 ppm within the space, whereas the
outside air flow introduced in second energy model is to be based on ASHRAE
standard 62.1-2010. Each Energy model’s simulation runs, by default shall have two
cases i.e., Baseline case and a Proposed case. Two Energy models with four
simulation case configurations are prepared to analyze the impact on IAQ, cooling
load capacity capacity, energy consumption and CO2 emissions. Maximum Outside
Air Supply and ASHRAE Standard based Minimum Ventilation rates shall be applied
to each energy model.
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4.9.1
Maximum Outside Air-Baseline Case Energy Model.
The maximum amount of outside air shall be applied to the building template
manager. Outside air quantity shall be limited to satisfy the requirement of
maintaining CO2 concentration to the level of 800 PPM. The Baseline Case Energy
Model shall be with Constant supply of outside air volume system with no control on
CO2 concentration. The outside air inputs in this case are supplied to the space
regardless of variance in occupancy profile. The supply of outside air is fixed and a
maximum volume of outside air based on maximum number of occupancy throughout
the day is provided. Occupant density is as per ASHRAE standard 62.1–2010.
Occupancy profile assigned is “On Continuously” i.e., no change in occupancy
pattern.
4.9.2
Maximum Outside Air-Proposed Case Energy Model.
The maximum amount of outside air as applied to the Energy Model using VE
Building Template Manager in Baseline Case Model. Only two modifications in this
case shall be applied on the Baseline Case, i.e., the CO2 controller is activated and
Outside air is made dependent on space CO2 concentration of 800 PPM. The
maximum outside air inputs in this case are as per occupancy and CO2 concentration
set points. Occupant density is as per ASHRAE standard 62.1–2010. Occupancy
profile assigned is “Variable”.
4.9.3
ASHRAE standard 62.1-2010; Baseline Case Energy Model:
Baseline case Occupant density and occupant profile shall be according to the
recommended values of ASHRAE standard 62.1-2010 and ASHRAE STANDARD
90.1-2007 respectively. Outside air flow rates and exhaust air flows are assigned shall
be according to the ASHRAE standard 62.1-2010. Constant Air Volume system with
CO2 concentration controller at “OFF” is assigned to the “System Parameters” tab of
VE. Room CO2 concentration controller is kept in “ON” mode.
4.9.4
ASHRAE standard 62.1-2010; Proposed Case Energy Model:
The Proposed Case Energy Model is an enhancement and advanced version of
ASHRAE standard 62.1-2010; Baseline Case Energy Model. The outside air supplied
to the system becomes dependent on indoor CO2 concentration levels. The CO2 set
point is 800 PPM. The outside air inputs in this case are taken from ASHRAE 62.12010, based on Demand Controlled Ventilation requirements on outside air to
maintain 800 ppm indoor CO2 concentration. The assigned amount of outside air is
the minimum ventilation requirements. Occupant density is as per ASHRAE 62.1–
2010. Occupancy profile assigned is “Variable” i.e., change in occupancy pattern.
Room CO2 concentration controller is kept in “ON” mode.
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4.10
SIMULATION RUN:
Simulations for the spaces shown in the Energy Model with selected floors shall be
run to get the cooling, ventilation load calculations and CO2 concentration levels with
all comfort criterion satisfied. All internal and external input parameters for Baseline
and Proposed Case Energy Model for all cases are kept unchanged except modulating
outside air. Mid-band-sensed variable CO2 concentration set point is kept at 725 ppm
with 150 ppm proportional bandwidth. The outside air flow in to the space shall be
modulating between 650 PPM and 800 PPM. Below 650 PPM, outside air shall be
cut-off completely and damper goes in closed position, whereas at 800 PPM the
outside air flow resumes to maintain indoor air quality.
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CHAPTER 5 : SIMULATION RESULTS AND DISCUSSIONS
5.1 INTRODUCTION:
In this section detailed analysis of energy simulation results shall be reviewed for both
the Energy models i.e., Maximum Outside Air Supply to the Space and ASHRAE
standard 62.1-2010 based recommended Outside Air Values.
Energy simulations are run for Baseline and Proposed case Energy Models. Each
Energy Model will have two reports, i.e., Baseline Case and Proposed Case. Enough
Outside Air quantity is allowed for each space depending on the activity level for
maintaining CO2 concentration of 800 ppm. Various iterations were run to get the
required outside air flow for maintaining required level of CO2 concentrations.
Values entered into each space within building template manager is different
depending on level and type of activity in each space. Over-all heat transfer Coefficient (U-Values) for External Wall, Roof, External Window, Proposed External
Wall, Proposed Roof and Proposed External window is identical i.e., similar in
Baseline and Proposed case Energy Models. These values are 0.4533, 0.3379, 1.877,
0.4533, 0.3379 and 1.8777 W/m2.OK.
5.2 SIMULATION DATA ANALYSIS AND DISCUSSIONS:
Analyzing the various variables of a sample space under “Maximum Outside AirProposed Case Energy Model” on different node points as shown in Figure 5.1, such
as Outside air in / extract air out nodes for CO2 concentration, volume flow and air
temperature. It can be seen that the outside air properties are changing from minimum
to maximum levels during January to December.
Figure 5.1: Outside Air In/Out characteristics (CO2 Concentration, Volume Flow and
Air temperature) at Fresh Air intake and exhaust air Nodes for Restaurants and Dining
at Basement and Concourse floors. (VE model).
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At Outside Air inlet node, ambient air temperature recorded is 8 OC minimum and
46.5 OC maximum from winter to summer, CO2 Concentration shows changing from
360 PPM at 96, 98 and 126 node points and goes to 784 PPM at exhaust air node
point number 118, and volume flow varies between 2236.93 l/s to 9639.78 l/s in
Restaurants and Dining rooms at Basement and Concourse floors at node 98, as
shown in Figure 5.1 (refer Appendix F, figure F.1 to F.13 for rest of the spaces). The
outside air at node 97 and 126 shows 360 PPM of CO2 concentration and this
indicates the air taken to the space by the HVAC system is quite healthy for occupant
breathing. Once the air enters into the space it starts getting impure after adding
occupant exhaled CO2 concentration within the space air volume thus increasing the
level of the surrogate gas. When the CO2 concentration level reaches to 800 PPM,
Outside Air starts entering the space.
Outside air quantity assigned to each space in baseline case is the maximum amount
of outside air but limiting supply to 800 PPM to satisfy the requirements of Dubai
Green Building Regulations and Specifications. A sample CO2 concentration data of
some of the spaces is taken randomly and are shown in Table 5.1 for “Maximum
Table 5.1: Maximum Outside Air-Baseline Case Energy Model. (VE model)
Var. Name
Meeting_Rm1
Treatment_Rm3
Corridor
Movement_MeditGym
Restaurant
Hotel_Lobby
King Rm01
UnitD1_BedRoom
UnitE_Kit
UnitB_Toilet
Type
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
Min. Val.
360
360
360
360
360
360
441
441
360
360
Max. Val.
684
684
360
738
741
766
717
720
360
360
Mean
459
473
360
502
488
511
588
590
360
360
Outside Air-Baseline Case Energy Model” and Table 5.2 shows the sample CO2
concentration values of the randomly taken spaces for “Maximum Outside AirProposed Case Energy Model”. For the CO2 concentrations of the rest of the spaces
refer Appendix F, Table F1 and F7 respectively.
Table 5.2: Maximum Outside Air-Proposed Case Energy Model. (VE model)
Var. Name
Type
Meeting_Rm1
Treatment_Rm3
Corridor
Movement_MeditGym
Restaurant
Hotel_Lobby
King Rm01
UnitD1_BedRoom
UnitE_Kit
UnitB_Toilet
CO2 concentration (ppm) 360
CO2 concentration (ppm) 360
CO2 concentration (ppm) 360
CO2 concentration (ppm) 360
CO2 concentration (ppm) 360
CO2 concentration (ppm) 360
CO2 concentration (ppm) 450
CO2 concentration (ppm) 452
CO2 concentration (ppm) 395
CO2 concentration (ppm) 428
Min. Val.
Max. Val.
782
763
772
773
793
780
741
750
565
613
Mean
537
564
556
542
599
575
602
601
472
532
The CO2 concentration values of Table 5.1 are based on the maximum volume flow
of outside air to the spaces in the Baseline Case – Energy Model, where it can be
P a g e | 84
observed that CO2 concentration values are for some of the spaces such as Meeting
Room-1 is at 684 PPM and reaches to 766 PPM. This is the indication of the enough
amount of outside air allowed to enter the spaces to satisfy the specified CO2 levels.
Table 5.2 represents a sample CO2 concentration levels of the randomly selected few
of the spaces of the Energy Model. At times when there is no occupancy CO2
concentration levels go identical to outside air CO2 levels and as the CO2 levels
increase due to occupancy changes in the space, the CO2 concentration levels starts
increasing and reaches nearly to 800 PPM and it remains within the specified range
throughout the day, thus indicating the satisfactory performance of CO2 controllers.
The space room temperature set point is at 22 OC with unmet cooling load hours range
of 1.11 OC, thus the maximum temperature’s allowable limit is 23.11 OC. The
acceptable PPD limit as recommended by ASHRAE 55-2004 is less than 10% at
maximum side. The predicted mean vote (PMV) shall be within the range of -0.5 to
+0.5, whereas values achieved in baseline case is within the specified limit with the
exception of a few spaces where PMV is negligibly little higher. (ASHRAE 55, 2004).
Table 5.3 shows a sample data of “Maximum Outside Air –Proposed Case Energy
Table 5.3: Maximum Outside Air-Proposed Case Energy Model; Temperature,
PPD, PMV and CI. (VE model)
Var. Name
Meeting_Rm4 (p_laguna01092014.aps)
Restaurant (p_laguna01092014.aps)
Type
Temperature (°C)
Temperature (°C)
Min.Val
21.02
21.03
Max. Val
22.68
23.08
Mean
21.65
21.83
Meeting_Rm3 (p_laguna01092014.aps)
Restaurant (p_laguna01092014.aps)
Percentage (%)
Percentage (%)
5.00
5.00
6.61
10.21
5.26
5.89
Meeting_Rm3 (p_laguna.aps)
Restaurant (p_laguna.aps)
Predicted mean vote
Predicted mean vote
-0.21
-0.22
0.28
0.50
0.06
0.16
Meeting_Rm4 (p_laguna.aps)
Restaurant (p_laguna.aps)
Comfort index
Comfort index
6
7
9
9
7
7
Model” and the sample data of few spaces for room temperature, Percent People
Dissatisfied, Predicted Mean Vote and Comfort Index is analyzed.
The recorded values of all the variables as shown in Table 5.3 are within the
acceptable limits. The predicted percentage dissatisfied (PPD) ranges between 5% as
a minimum value and 10% as a maximum value with some exception of few spaces.
The percentage of people dissatisfied ranges between 5% and 10% with the exception
of a few spaces. The predicted mean vote (PMV) value is another parameter for
comfort level requirements and is also seen between -0.5 and +0.5. Comfort Index
(CI) is also another test parameter for thermal comfort. A value / reading of less than
10 shows the comfort level of a certain space is within the satisfactory limits. Space
room temperature, CO2 Concentration, Percent People Dissatisfied, Predicted Mean
Vote, Comfort Index for rest of the spaces of Baseline Case Model and Proposed Case
Model can be further viewed in Appendix F.
P a g e | 85
Figure 5.2 shows the graphical representation of a Baseline Case Model of a
restaurant. Four parameters such as room temperature, CO2 concentration, air supply
and occupancy is shown. The maximum room air temperature for a Baseline case
shown in the graph is 22.13 OC, maximum CO2 concentration with 296.77 people
results in 741 ppm. The supply air shown is in green colored line and is shown
straight line. CO2 concentration varies between 360 ppm and 741 ppm with the mean
value of 488 ppm. The variance in CO2 concentration is due to the variable
occupancy rate and the constant supply of outside air to the space, however, no
change in the pattern of outside air flow in the space is recorded, thus a constant
supply of treated and cooled outside air continuously to the space is ensured even if
there is no or less occupancy. However, Figure 5.3 represents proposed case of the
same space i.e., restaurant. The maximum number of people shown is 296.77. The
minimum CO2 concentration is 360 ppm, the maximum is 793 ppm whereas the mean
value reaches to 599 ppm. The outside air supply (Apache HVAC air supply)
modulates due to increase and decrease in occupancy rate.
Figure 5.2: Baseline-CAV; Basement level Restaurant Room temperature, CO2
concentration, Air supply and Occupancy. (VE model)
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Figure 5.3 : Proposed-DCV; Basement level Restaurant Room temperature, CO2
concentration, Air supply and Occupancy. (VE model)
The minimum supply air’s volume flow as shown in blue colored line in Figure 5.3 is
791.40 l/s, the mean value is 2037.3 l/s, reaching to the maximum volume flow of
3983.08 l/s. The modulation in volume flow indicates the reduced energy load on
HVAC equipment such as chillers, air handling units, pumps and motors, thus
reducing over-all energy consumption by the space. (Refer graphical representation of
other spaces is shown in Appendix G, Figure G1 to G24)
Another Energy Model involves minimum amount of Outside Air as recommended by
ASHRAE Standard 62.1-2010. Two cases are generated in this Energy Model, i.e.,
Baseline Case and Proposed Case Energy Model. The outside air assigned to each
space is a default minimum ASHRAE Standard 62.1-2010 recommended values. The
Baseline Case Energy Model is set with CO2 controller “OFF” or unassigned.
Proposed Case Energy Model includes CO2 Controller in “ON” mode with a set point
of CO2 sensed variable of 725 PPM and Proportional Bandwidth of 150 PPM. The
CO2 controller with set point starts maintaining CO2 concentration to the 800 level.
Once the indoor space CO2 starts crossing the 800 PPM; the maximum set point limit,
the outside air starts pumping in the space.
Table 5.4 represents a sample data taken for few spaces to represent CO2
concentration in Baseline Case Energy Model when introducing minimum
recommended outside air
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Table 5.4: ASHRAE standard 62.1-2010 based outside air-Baseline Case Model. (VE
model)
Var. Name
Type
Meeting_Rm4 (b_laguna_ash.aps) CO2 concentration (ppm)
Restaurant (b]_lag_ash.aps)
CO2 concentration (ppm)
Gym (b_laguna_ash.aps)
CO2 concentration (ppm)
King Rm01R (b_lagun_ash.aps) CO2 concentration (ppm)
GM_Execut_Assistant (b_ash.aps) CO2 concentration (ppm)
Min. Val.
360
360
360
482
360
Max. Val.
1409
1087
1192
865
1246
Mean
682
616
672
683
631
flows to all spaces within the model. It is observed here that the outside air introduced
to the Table 5.4 mentioned spaces is not enough to maintain the CO2 concentrations
to the specified levels i.e., 800 PPM. Meeting rooms and Gymnasium needs higher
amount of outside air due to the type of activity performed within, whereas Hotel
accommodation room where activity level is seated at rest, the CO2 concentration
reaches to the maximum level of 865 PPM which is higher only by 65 PPM. The
sample Office space at activity level-2 (Office work) also shows higher level of CO2
concentration that records 1246 PPM at peak occupancy count. This reflects that the
ASHRAE standard 62.1-2010 recommended minimum outside airflow is insufficient
to maintain 800 PPM of CO2 concentration as required by Dubai Municipality Green
Building Regulations and Specifications (DGBRS) or 1000 PPM as recommended by
ESTIDAMA. The CO2 concentration values mentioned in Table 5.5 are simulated
while applying Demand Controlled Ventilation on ASHRAE standard 62.1-2010
based outside air-Baseline Case Model. When applying demand controlled
ventilation, its nature changes and named as, “ASHRAE standard 62.1-2010 based
outside air-Proposed Case Model “. The CO2 concentration values recorded are
higher in all cases except one of the space from Hotel Accommodation zone from 2nd
to 8th floor level and therefore its recorded as 785 PPM. This is the rare case and its
very much likely that the acquired CO2 value is mainly due to internal infiltration of
Continuous extract of the Toilet.
Table 5.5: ASHRAE standard 62.1-2010 based outside air-Proposed Case Model. (VE
model)
Var. Name
Type
Meeting_Rm4 (p_laguna_ash.aps) CO2 concentration (ppm)
Restaurant (p_laguna_ash.aps)
CO2 concentration (ppm)
Gym (p_laguna_ash.aps)
CO2 concentration (ppm)
King Rm01R (p_laguna_ah.aps) CO2 concentration (ppm)
GM_Execut_Assistant (p__ash. CO2 concentration (ppm)
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Min. Val.
374
361
368
515
368
Max. Val.
1409
957
1112
785
1246
Mean
772
644
711
670
714
5.3 Cooling Coil Load and Thermal Energy Consumption:
The building under analysis is comprised of three basements, concourse floor and 43
floors. The simulations are performed only on promenade level (basement level-1),
concourse level, fitness floor level, 2nd floor only for 2nd to 8 typical hotel guest room
floors and 13th floor only from 9th to 43rd floor. Floors from 9th to 43rd level are
dedicated for residential units. Residence floors are divided into six different groups,
with each group having different flat sizes, number of bed rooms, and ancillary
facilities. Energy Model of second typical and thirteenth typical floor is simulated
separately and shall be multiplied with the typical floors to get the cooling coil loads,
energy consumptions of the entire building. Typical floors summed up load shall be
added to the simulations carried out for six floors based model.
5.4 Baseline Case Model-Constant Air Volume (CAV):
In a baseline case model, by default full occupancy throughout the entire day is used
in the simulation model with constant supply of outside air. The simulation model
comprises of six floors model and it includes basement, concourse, first floor, 2nd
floor, thirteenth floor and top floor. Second typical (only one level) and thirteenth
typical floor (only one level) is included within the “Baseline Model” simulation. A
Separate Energy Model is created for simulations for individual second and thirteenth
floor for computing entire building’s cooling load, energy consumption, CO2
concentration and CO2 emissions.
5.4.1
Six floors based energy model:
This is the baseline energy model and in this energy model, CO2 controller is disabled
in ApacheHVAC system parameters. The total coil load of Baseline case model is
961.31 kW (273.41 TR) at peak cooling load demand as shown in Table 5.6, whereas
the energy consumed throughout the year stands at 3,964.24 MWh, as shown in Table
5.7.
Table 5.6: ApHVAC Cooling Coil Total Load, Six-floors-based Model (VE Model)
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Table 5.7: HVAC System Cooling Coil total load in MWh, Six-floors-based Model.
(VE model)
5.4.2
Second Floor (Typical):
Second to eight floors are typical, therefore, the floor slab and roof slabs are not
exposed to the atmosphere. The model when run alone in VE shows to the viewer as
the floor slab is in contact with ground and roof slab appears exposed to the
atmosphere. In-order-to cancel the impact of ground contact and roof slab’s exposure
to the ambient conditions, the model is adjusted with “Adjacencies” to match with
real thermal impact. External walls and windows are set to outside air, ground and
roof slabs are assigned with room set point temperatures. The peak cooling coil load
shown in Table 5.8 is 91.8 kW (26.11 TR) and energy consumed throughout the year
is 343.85 MWh as shown in Table 5.9. The typical second floor goes up to eighth
floor level, dedicated for hotel guest rooms.
Table 5.8: ApHVAC Cooling Coil Total Load, Second Floor Model. (VE Model)
There are total 7 floors from 2nd to 8th floor, however, one floor is already included in
the “Baseline Case Model”, therefore only six floors cooling coil load and energy
consumed is added to get the entire 2nd to 8th typical floor’s coil load and energy
consumed.
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Table 5.9: HVAC System Cooling Coil total load in MWh, Second Floor Model.. (VE
model)
The cooling load at peak is 91.8 kW x 6 = 550.8 kW (156.655 TR) and energy
consumed is 343.85 x 6 = 2,063.1 MWh.
5.4.3
Thirteenth Floor (Typical):
Thirteenth to 43rd floors are typical, therefore, the floor slab and roof slabs are not
exposed to the atmosphere. The model when run alone in VE shows to the viewer as
the floor slab is in contact with ground and roof slab appears exposed to the
atmosphere. In-order-to cancel the impact of ground contact and roof slab’s exposure
to the ambient conditions, the model is adjusted with “Adjacencies” to match with
real thermal impact. External walls and windows are set to outside air, ground and
roof slabs are assigned with room set point temperatures. The peak cooling coil load
of thirteenth floor is 62.2 kW (17.66 TR) and thermal energy consumed is 325.6
MWH throughout the year as shown in Table 5.10 and Table 5.11 respectively.
Thirteenth floor is typical up to 19th Floor and with slight variations in number of
apartments in each floor, level thirteen goes almost typical with slight variation in
apartment arrangements from 9th to 12th and 14th to 43rd. Level 43rd is dedicated for
MEP and Telecommunication services.
Table 5.10: ApHVAC Cooling Coil Total Load, thirteenth floor. (VE Model)
The residential floors are only up to level 42nd and one level at 20th floor is for MEP
services. The total floors for residential units are 33 only and one floor is already
included in baseline model. The total coil load for 32 floors comes out to be 62.2 x 32
= 1,990.4 kW (566.1 TR) and energy consumed is 274.66 x 32 = 8,789.12 MWh
throughout the year.
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Table 5.11: HVAC System Cooling Coil total load in MWh, thirteenth floor. (VE
model)
5.5 Proposed Case-CO2-based-DCV; Cooling Coil Load and Thermal Energy
consumption
5.5.1
Six floors based model:
This case is with demand controlled ventilation. The total coil load is 770.7 kW
(219.2 TR) at peak load as shown in Table 5.12, whereas the thermal energy
consumed throughout the year stands 2,654.55 MWh, shown in Table 5.13.
Table 5.12: ApHVAC Cooling Coil Total Load, Six-floors based (VE Model)
Table 5.13: HVAC System Cooling Coil Total Load in MWh, Six-floors based. (VE
model)
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5.5.2
Second Floor (Typical) Cooling Coil Load and Thermal Energy
Consumption:
The peak cooling coil load is 51.52 kW (14.65 TR) and energy consumed throughout
the year is 229.82 MWh as shown in Table 5.14 and Table 5.15. The typical second
floor goes to level 8 and all these levels are dedicated for hotel guest rooms. One floor
of this typical floor is already included in “Six Floors based Model” simulations.
Therefore, the total peak cooling coil load for these typical floors is 51.52 x 6 =
309.12 kW (87.92 TR) and the cooling energy consumed is 229.82 x 6 = 1378.92
MWh.
Table 5.14: ApHVAC Cooling Coil Total Load, Second floor. (VE Model)
Table 5.15: HVAC System Cooling Coil total load in MWh, Second floor. (VE
model)
5.5.3
Thirteenth Floor Cooling Coil Load and Thermal Energy Consumption:
The peak cooling coil load of thirteenth floor is 51.6 kW (14.7 TR) and thermal
energy consumed is 242.4 MWH throughout the year as shown in Table 5.16 and
Table 5.17 respectively. Thirteenth floor is typical up to 19th Floor and with slight
variations in number of apartments in each floor, level thirteen goes almost typical
from 9th to 12th and 14th to 43rd. Level 43rd is dedicated for MEP and
Telecommunication services.
Table 5.16: ApHVAC Cooling Coil Total Load, thirteenth floor. (VE Model)
The residential floors are only up to level 42nd and one level at 20th floor is for MEP
services. The total floors for residential units are 33 only and one floor is already
included in Basic Model simulations. The total coil load comes out to be 51.6 x 32 =
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1,651.2 kW (469.6 TR) and energy consumed is 242.4 x 32 = 7,756.8 MWh
throughout the year.
Table 5.17: HVAC System Cooling Coil total load in MWh, thirteenth floor . (VE
model)
5.6 ASHRAE standard 62.1-2010 based outside air quantity: Cooling Coil Load
and Thermal Energy consumption
ASHRAE standard 62.1-2010 based outside air flow is assigned to all rooms in this
Energy Model. Continuous Extract is taken from Private restrooms, public restrooms,
commercial kitchens and residential kitchen in compliance with ASHRAE standard
62.1-2010.
5.7 Baseline Case Model; Outside Air CAV- Cooling Coil Load and Thermal
Energy Consumption:
Baseline case energy simulation comprises of three energy models i.e., six-floorsbased energy model, 2nd floor based and thirteenth floor based energy models. In the
upcoming sections of this chapter, the detailed discussions shall be made.
5.7.1
Six Floors based Energy Model – Cooling Coil Load and Thermal Energy
Consumption:
In this configuration outside air supplied to each space are the minimum ventilation
rates in breathing zone as specified in Table 6-1 “Minimum Ventilation Rates in
Breathing Zone (ASHRAE standard 62.1-2010). The total cooling coil load is 792.53
kW (225. 4 TR) at peak load, shown in Table 5.18.
Table 5.18: ApHVAC Cooling Coil Total Load, Six-floors-based. (VE Model)
The energy consumed throughout the year is 3,252.67 MWh, as shown in Table 5.19.
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Table 5.19: HVAC System Cooling Coil total load in MWh, Six-floors-based. (VE
model)
5.7.2
Second Floor (Typical) Cooling Coil Load and Thermal Energy
Consumption:
The peak cooling coil load is 54.0 kW (15.56 TR) and thermal energy consumed
throughout the year is 222.85 MWh as shown in Table 5.20 and Table 5.21
respectively. The typical second floor goes to level 8 and all these levels are dedicated
for hotel guest rooms.
Table 5.20: ApHVAC Cooling Coil Total Load, second floor. (VE Model)
One floor of this typical floor is already included in “Six floor based energy model”.
Therefore, the total peak cooling coil load for these typical floors is 54.0 x 6 = 324
kW (92.15 TR) and the cooling energy consumed is 222.85 x 6 = 1337.1MWh.
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Table 5.21: HVAC System Cooling Coil total load in MWh, second floor. (VE model)
5.7.3
Thirteenth Floor Cooling Coil Load and Thermal Energy Consumption:
The peak cooling coil load of thirteenth floor is 67.56 kW (19.22 TR) and thermal
energy consumed is 290.1 MWH throughout the year as shown in Table 5.22 and
Table 5.23 respectively. Thirteenth floor is typical up to 19th Floor and with slight
variations in number of apartments in each floor, level thirteen goes almost typical
from 9th to 12th and 14th to 43rd. Level 43rd is dedicated for MEP and
Telecommunication services.
Table 5.22: ApHVAC Cooling Coil Total Load, thirteenth floor. (VE Model)
The residential floors are only up to level 42nd and one level at 20th floor is for MEP
services. The total floors for residential units are 33 only and one floor is already
included in Baseline Case Model Energy simulations. The total coil load comes out to
be 67.6 x 32 = 2163.2 kW (615.24 TR) and energy consumed is 287.32 x 32 =
9,194.24 MWh throughout the year.
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Table 5.23: HVAC System Cooling Coil total load in MWh. (VE model)
5.8 Proposed case; ASHRAE standard 62.1-2010 CO2 based DCV:
Proposed case energy model comprises of three energy models i.e., six-floors based
energy model, 2nd floor based and thirteenth floor based energy models. In the
upcoming sections of this chapter, the detailed discussions shall be made.
5.8.1
Six Floors based Energy Model-Cooling Coil Load and Thermal Energy
Consumption:
In this configuration outside air supplied to each space are the minimum ventilation
rates in breathing zone as specified in Table 6-1 “Minimum Ventilation Rates in
Breathing Zone (ASHRAE standard 62.1-2010). The total coil load of proposed case
is 715.6 kW (203.53 TR) at peak load as shown in Table 5.24, whereas the energy
consumed throughout the year stands 2,586.1 MWh, as shown in Table 5.25.
Table 5.24: ApHVAC Cooling Coil Total Load, Six-floors-based. (VE Model)
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Table 5.25: HVAC System Cooling Coil total load in MWh, Six-floors-based. (VE
model)
5.8.2
Second Floor (Typical) Cooling Coil Load and Thermal Energy
Consumption:
The peak cooling coil load is 49.1 kW (13.96 TR) and thermal energy consumed
throughout the year is 192.0 MWh as shown in Table 5.26 and Table 5.27
respectively.
Table 5.26: ApHVAC Cooling Coil Total Load, second floor. (VE Model)
The typical second floor goes to level 8 and all these levels are dedicated for hotel
guest rooms. One floor of this typical floor is already included in “Baseline Case
Model” simulations. Therefore, the total peak cooling coil load for these typical floors
is 49.1 x 6 = 294.6 kW (83.8 TR) and the cooling energy consumed is 192.8 x 6 =
1,152 MWh.
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Table 5.27: HVAC System Cooling Coil total load in MWh, second floor. (VE model)
5.8.3
Thirteenth Floor Cooling Coil Load and Thermal Energy Consumption:
The peak cooling coil load of thirteenth floor is 58.8 kW (16.72 TR) and thermal
energy consumed is 261.78 MWH throughout the year as shown in Table 5.28 and
Table 5.29 respectively. Thirteenth floor is typical up to 19th Floor and with slight
variations in number of apartments in each floor, level thirteen goes almost typical
from 9th to 12th and 14th to 43rd level. Level 43rd is dedicated for MEP and
Telecommunication services. The residential floors are only up to level 42nd and one
level at 20th floor is for MEP services.
Table 5.28: ApHVAC Cooling Coil Total Load, thirteenth floor. (VE Model)
The total floors for residential units are 33 only and one floor is already included in
Baseline Case Energy Model. The total coil load computes to 58.8 x 32 = 1,881.6 kW
(535.2 TR) and energy consumed is 261.78 x 32 = 8,376.96 MWh throughout the
year.
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Table 5.29: HVAC System Cooling Coil total load in MWh, thirteenth floor. (VE
model)
5.9 Entire Building’s Cooling Coil Loads and Thermal Energy Consumed:
Energy simulations and ASHRAE loads are run separately for Baseline case model
with six floors model, 2nd floor typical model and thirteenth floor typical model. The
total building energy load and energy consumed for each case is given below:
Total peak cooling coil load of Maximum Outside Air-Baseline Case Model-CAV’s
six floors is 961.31 kW (273.41 TR) and total peak cooling coil load of 2nd to 8th
Floor is 550.8 kW (156.655 TR), whereas 9th to 43rd Floor reaches to peak cooling
load of 1,990.4 kW (566.1 TR). Therefore by adding the cooling coil load figures of
all three baseline energy models, the entire building’s total peak cooling coil load
comes out to be 3502.51 kW (996.2 TR).
The total cooling energy consumed throughout the year by six-floors based model
stands 3,964.24 MWh, 2nd-8th floor consumes 2,063.1 MWh and 9th to 43rd consumes
8,789.12 MWh, therefore, by summing up the thermal energy consumed by all three
baseline case energy models, the entire building’s thermal energy consumption comes
out to be 14,816.46 MWh.
Total peak cooling coil load of “Outside Air-Proposed Case Model-DCV” six floors
based model is 770.7 kW (219.2 TR) and total peak cooling coil load of 2nd to 8th
Floor is 309.12 kW (87.92 TR), whereas 9th to 43rd Floor reaches to peak cooling
load of 1,651.2 kW (469.6 TR). The entire building’s total peak cooling coil load is
2731.02 kW (776.74) TR.
The total cooling energy consumed throughout the year by “Outside Air-Proposed
Case Model-DCV” stands 2,654.55 MWh, 2nd-8th floor consumes 1,378.92 MWh and
9th to 43rd consumes 7,756.8 MWh. The total building consumes 11,790.27 MWh.
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Total peak cooling coil load and annual thermal energy consumption for proposed
case model is shown in Figure 5.4 and Figure 5.5 respectively.
Total peak cooling coil load of Six Floors based ASHRAE standard 62.1-2010 based
outside air-CAV Model is 792.53 kW (225. 4 TR) and total peak cooling coil load of
2nd to 8th Floor is 324 kW (92.15 TR), whereas 9th to 43rd Floor reaches to peak
cooling load of 2,163.2 kW (615.24 TR). The entire building’s total peak cooling coil
load is 3,279.73 kW (932.8 TR).
The total cooling energy consumed throughout the year by Six-floors; ASHRAE
standard 62.1-2010 based outside air-CAV Model stands 3,252.67 MWh, 2nd-8th floor
consumes 1337.1 MWh and 9th to 43rd consumes 9,194.24 MWh. The entire
building’s thermal energy consumption reaches to 13,784.01 MWh. “Baseline Case
Model: ASHRAE standard 62.1-2010 based ventilation rate” based Model’s total
peak cooling coil load and annual thermal energy consumption is shown in Figure 5.4
and Figure 5.5 respectively.
Figure 5.4: Peak Cooling Coil Load with and without DCV strategy
Total peak cooling coil load of Six floors based; “ASHRAE standard 62.1-2010 based
outside air-DCV Model” is 715.6 kW (203.53 TR) and total peak cooling coil load of
2nd to 8th Floor is 294.6 kW (83.8 TR), whereas 9th to 43rd Floor reaches to peak
cooling load of 1,881.6 kW (535.2 TR). The entire building’s total peak cooling coil
load is 2,891.8 kW (822.5 TR).
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The total cooling energy consumed throughout the year by “ASHRAE standard 62.12010 based outside air-DCV Model” 2,586.1 MWh, 2nd-8th floor consumes 1,152
MWh and 9th to 43rd consumes 8,376.96 MWh. The total building consumes 12115.06
MWh. “Proposed Case Model; SAHRAE Standard 62.1-2007 based ventilation rates”
Energy Model’s total peak cooling coil load and annual thermal energy consumption
is shown in Figure 5.4 and Figure 5.5 respectively.
Figure 5.5: Annual thermal energy consumption with and without DCV strategy
5.10 Electrical Energy Consumption of Entire Building for cooling,
dehumidification and ventilation.
Simulation runs made for the building under analysis is divided into three sections
i.e., six floors based energy model, Second floor and thirteenth floor based energy
model of the building under analysis due to certain simulation restrictions, number of
simulations, study time constraints, and simulation time required. In this section of
energy analysis all four case configurations shall be taken.
5.10.1 Baseline Case Model-Constant Air Volume (CAV):
Six-floors-based, Baseline Case Model-Constant Air Volume (CAV) consumes
Annual Electrical Energy equivalent to 1,967,683.67 kWh as shown in a sample data
of Table 5.30 (Refer Appendix H, Table H7 to H9 for details and rest of the floors).
The value as shown above is calculated after summing up electrical energy consumed
by pumps, chillers, Fans and heat rejected by condenser fans of chillers.
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Table 5.30: Electrical Energy consumed; Six floors based Energy Model. (VE model)
Second-Floor Based Energy Model of a “Baseline Case Model of Baseline Case
Model-Constant Air Volume (CAV)” consumes an electrical energy of 182,748.56
kWh throughout the year. Second floor is typical up to eighth floor, dedicated for
hotel guest accommodations with seven floors. Energy consumed by one floor of 2nd –
8th floor hotel guest accommodations is included in “Six-floors based energy model”,
therefore, only six floors shall be included here for calculating the Annual Energy
consumption for 2nd to 8th floor (minus one floor, as already included) is 182,748.56
x 6 = 1,096,491.36 kWh.
Thirteenth-Floor Based Energy Model of a “Baseline Case Model of Baseline Case
Model-Constant Air Volume (CAV)” consumes 134,989.65 kWh electrical energy,
therefore remaining count of typical floors is 32, and the electrical energy consumed
by 32 typical floors shall be based on 13th floor electrical energy consumption of
134,989.65 x 32 = 4,319,668.8 kWh.
Upon summing up electrical energy consumption of a Six-Floors-Based, SecondFloor-Based Typical and Thirteenth-Floors-Based Typical “Baseline Case Model of
Baseline Case Model-Constant Air Volume (CAV)” , the Total Electrical Energy
Consumption of an Entire building comes out to be 7,383,843.83 kWh.
5.10.2 Proposed case model; CO2 based DCV:
Six-Floors-Based, Proposed case model’s Annual cooling electrical energy
consumption is 1,329,644.05 kWh, as shown in Table 5.28. Second floor consumes
106,115.47 kWh electrical energy throughout the year. Second floor is typical up to
eighth floor, dedicated for hotel guest accommodations with seven floors. Energy
consumed by one floor of 2nd – 8th floor hotel guest accommodations is included in
“Six-floors based energy model”, therefore, electrical energy consumed for cooling
and dehumidification and maintaining indoor air quality for typical 2nd to 8th floor
(minus one floor, as already included) is 106,115.47 x 6 = 738,928.68 kWh.
Thirteenth typical floor consumes 123,154.78 kWh, therefore remaining count of
typical floors is 32, and the electrical energy consumed by 32 typical floors shall be
based on 13th floor electrical energy consumption of 123,154.78 x 32 = 3,940,952.96
kWh.
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Upon summing up electrical energy as calculated in this section, Entire building’s
total electrical energy consumption is computed and therefore, this comes out to be
6,009,525.69 kWh.
5.10.3 ASHRAE standard 62.1-2010 based Outside Air; Baseline Case ModelCAV:
Six-floors-based Energy Model consumes 1,602,634.65 kWh Annual cooling
electrical energy. The total value comes up after adding the break-up of electrical
energy consumed by pumps, chillers, Fans and heat rejected by condenser fans of
chillers, as shown in sampled data of Table 5.31. For detailed and rest of the floors
such as Second and Thirteenth floor, refer Appendix J, Table J7 to J9.
Table 5.31: Electrical Energy consumed; Six floors based Energy Model. (VE model)
Second floor consumes 116,303.24 kWh of electrical energy throughout the year.
Second floor is typical up to eighth floor, dedicated for hotel guest accommodations
with seven floors. Energy consumed by one floor of 2nd – 8th floor hotel guest
accommodations is included in “Six-floors based energy model”, therefore, electrical
energy consumed for cooling and dehumidification and maintaining indoor air quality
for typical 2nd to 8th floor (minus one floor, as already included) is 116,303.24 x 6 =
697,819.44 kWh.
Thirteenth floor consumes 146,535.93 kWh, therefore remaining count of typical
floors is 32, and the electrical energy consumed by 32 typical floors shall be based on
13th floor electrical energy consumption of 146,535.93 x 32 = 4,689,149.76 kWh.
Upon summing up electrical energy as calculated in this section, the Entire building’s
total electrical energy consumption is computed and therefore, this comes out to be
6,989,603.85 kWh.
5.10.4 ASHRAE standard 62.1-2010 based Outside Air; Proposed Case-DCV:
Proposed case model’s Annual cooling electrical energy consumed and as can be seen
in a sample data shown in Table 5.29 for the “Six Floors Based Energy Model” and
after adding the break-up of electrical energy consumed by pumps, chillers, Fans and
heat rejected by condenser fans of chillers, becomes 1,281,385.76 kWh. For detailed
and rest of the floors such as Second and Thirteenth floor, refer Appendix J, Table J7
to J9.
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Second floor consumes 99,614.76 kWh electrical energy throughout the year. Second
floor is typical up to eighth floor, dedicated for hotel guest accommodations with
seven floors. Energy consumed by one floor of 2nd – 8th floor hotel guest
accommodations is included in “Six-floors based energy model”, therefore, electrical
energy consumed for cooling and dehumidification and maintaining indoor air quality
for typical 2nd to 8th floor (minus one floor, as already included) is 99,614.76 x 6 =
597,688.56 kWh.
Thirteenth typical floor consumes 129,730.72 kWh, therefore remaining count of
typical floors is 32, and the electrical energy consumed by 32 typical floors shall be
based on 13th floor electrical energy consumption of 129,730.72 x 32 = 4,151,383.04
kWh.
Upon summing up electrical energy as calculated in this section as shown in Table
4.33, 4.34 and 4.35, Entire building’s total electrical energy consumption is computed
and therefore, this comes out to be 6,030,457.36 kWh.
5.11
ENERGY CONSUMPTIONS AND SAVINGS:
This section entails the discussions on savings produced by using Demand Controlled
Ventilation strategy on 100% outside air and ASHRAE standard 62.1-2010
ventilation rates. Two cases in both types of energy models, totaling to four cases,
shall be analyzed and that includes Baseline Cases and Proposed Cases. The impact
on energy consumption, CO2 emissions, CO2 concentrations and plant sizing shall be
evaluated, analyzed and discussed. Following are the four cases considered in
“SAVINGS” Analysis.

Baseline case model; Constant Air Volume (CAV)

Proposed case model; CO2 based DCV

Baseline Case Model; ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV)

Proposed Case Model; ASHRAE standard 62.1-2010, CO2 based DCV
Possible comparison shall be made in the following case configurations;

Baseline case model-Constant Air Volume (CAV) v/s Proposed case modelCO2 based DCV

Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed Case Model-ASHRAE standard 62.1-2010, CO2
based DCV
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
Baseline case model-Constant Air Volume (CAV) v/s Baseline Case ModelASHRAE standard 62.1-2010 with Constant Air Volume (CAV)

Proposed case model-CO2 based DCV v/s Proposed Case Model-ASHRAE
standard 62.1-2010, CO2 based DCV

Baseline case model-Constant Air Volume (CAV) v/s Proposed Case Model;
ASHRAE standard 62.1-2010, CO2 based DCV

Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed case model-CO2 based DCV
5.12 Electrical Energy Consumption and Savings comparing different outside
air supply strategies:
Different case configurations are advised to reach to the electrical energy savings
achieved using CO2-based demand controlled ventilation strategy.
5.12.1 Baseline case model-Constant Air Volume (CAV) v/s Proposed case
model-CO2 based DCV
Electrical energy consumed to cool, dehumidify ventilate and to maintain IAQ, by the
Baseline Case Model-CAV space is 7,383,843.83 kWh and Proposed Case ModelCO2 based DCV is 6,009,525.69 kWh. Energy savings achieved by using CO2based demand controlled ventilation strategy is 1,374,318.14 kWh and total electrical
savings achieved are 18.61%. Figure 5.6 shows annual electrical energy savings
achieved using demand controlled ventilation strategy.
5.12.2 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed Case Model-ASHRAE standard 62.1-2010,
CO2 based DCV
Electrical energy consumed to cool dehumidify, ventilate and to maintain IAQ by the
Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air Volume
(CAV) space is 6,989,603.85 kWh and Proposed Case Model-ASHRAE standard
62.1-2010, CO2 based DCV space is 6,030,457.36 kWh. Energy savings achieved by
using CO2-based demand controlled ventilation strategy is 959,146.49 kWh and total
percentage savings achieved are 13.72%.
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Figure 5.6: Annual Electrical Energy savings using CO2-Based-DCV
5.12.3 Baseline case model-Constant Air Volume (CAV) v/s Baseline Case
Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV)
Electrical energy consumed to cool dehumidify and ventilate the Baseline Case
Model with Constant Air Volume (CAV) space is 7,383,843.83 kWh and Baseline
Case Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV) space is
6,989,603.85 kWh. Energy savings achieved by using CO2-based demand controlled
ventilation strategy is 394,239.98 kWh and total percentage savings achieved are
5.34%.
5.12.4 Proposed case model-CO2 based DCV v/s Proposed Case ModelASHRAE standard 62.1-2010, CO2 based DCV
Electrical energy consumed to cool dehumidify and ventilate the Proposed case
model-CO2 based DCV space is 6,009,186.33 kWh and Proposed Case ModelASHRAE standard 62.1-2010, CO2 based DCV space is 6,030,457.36 kWh. Energy
savings achieved by using CO2-based demand controlled ventilation strategy is 21,271.03 kWh and total percentage savings achieved are (negative) -0.35%.
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Figure 5.7: Annual Electrical Energy Savings in percentage (%).
5.12.5 Baseline case model-Constant Air Volume (CAV) v/s Proposed Case
Model; ASHRAE standard 62.1-2010, CO2 based DCV
Electrical energy consumed to cool dehumidify and ventilate the Baseline case model-Constant
Air Volume (CAV) space is 7,383,843.83 kWh and Proposed Case Model; ASHRAE standard 62.12010, CO2 based DCV space is 6,030,457.36 kWh . Energy savings achieved by using CO2-based
demand controlled ventilation strategy is 1,353,386.47 kWh and total percentage savings
achieved are 18.33%.
5.12.6 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed case model-CO2 based DCV:
Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air Volume
(CAV) space consumes 6,989,603.85 kWh and the electrical energy to cool
dehumidify and ventilate consumed by the Proposed case model-CO2 based DCV
space is 6,009,525.69 kWh and. Energy savings achieved by using CO2-based
demand controlled ventilation strategy is 980,078.16 kWh and total percentage
savings achieved are 14.02%.
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5.13
CHILLER PLANT SIZING:
Over-all system sizing has a considerable impact when implementing a Demand
Controlled Ventilation design strategy on a building under analysis with versatile
occupancy profiles. Baseline Case Model with Maximum amount of outside air
supplied to the space at constant supply of outside air throughout the day results in
consuming more energy regardless of the occupancy changes. Whereas the demand
based controlled supply of outside air to the space limits the supply to the space and
minimizes to absolute zero in breathing zones when no occupancy is recorded.
Occupant density or presence of people is estimated by the quantity of CO2
concentration within the space, since its considered as a surrogate gas for human
presence. The building under energy modeling has a versatile of spaces such as public
restaurants, hotel guest dedicated dining rooms, hotel lobbies, offices, treatment
rooms, meeting rooms, gymnasiums, hotel guest accommodations and residential
apartments. Each of the space has different occupancy trends during the time cycle of
24 hours. For example Hotel Dining rooms are occupied in first hours of morning for
breakfast only or dinner by the evening and the ambient temperatures during these
hours if the day is always lower during hot summer days. Public restaurants are
occupied twice a day such as lunch and dinner times only and keeping the fresh air off
during morning hours and during late hours of evening no occupancy is recorded in
these spaces. Offices are mainly occupied during day hours and no occupancy is
recorded during sleeping hours. Hotel Guest Rooms and residential apartments are
seeing occupancy during night hours of the week or weekends. Gymnasiums starts
getting occupancy in first morning hours and after noon hours until 12 pm. To keep
the high health standards, outside air is required to keep bringing in the treated outside
air and ventilate the space during the human presence. The occupancy trend keeps on
changing due to the space and activity nature and accordingly quantity of outside air
is decided. To maintain 800 PPM indoor CO2 concentration level each space such as
bed room or sitting area requires lower amount of outside air than office space,
restaurant, gymnasium. Keeping the constant supply of outside air to the space results
in huge energy penalty and increases HVAC system sizing, thus causing to pay more
in terms of initial investment and energy bills.
In this section of the study, chiller plant sizing and reduction in capacity shall be
analyzed while studying different case configurations.
5.13.1 Maximum Outside Air-Baseline Case Model-CAV:
The Six-Floors-Model requires a chiller load of 1,018.92 kW (289.8 TR) to cool,
dehumidify and maintain IAQ of the six floors of the building. Table 5.32 shows a
sample data of the six-floors based energy model. Second and thirteenth floor
ApHVAC chiller load is shown in Appendix H, figure H11 and H12.
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Table 5.32: ApHVAC Chiller Total Cooling Load.
Second Floor requires a chiller load of 97.23 kW (27.65 TR) and thirteenth floor
requires 65.8 kW (18.7 TR). Second floor is a typical floor and shall be multiplied
with 6 to get a chiller load of 2nd to 8th floor levels and therefore it adds to 583.38
kW (165.92 TR) whereas Thirteenth typical floor adds 32 floors and requires total
chiller load of 2105.6 kW (598.86 TR). Total building requires 3704.76 kW (1053.69
TR) of a chiller load for this case.
5.13.2 Maximum Outside Air-Proposed Case Model-DCV
The proposed case model of a six-floors based energy model requires 810.28 kW
(230.45 TR) of Chiller load. The sample data of chiller load is shown in Table 5.33
and for second and thirteenth refer Appendix H, Table H14 and H15. The chiller load
of second floor results to 52.89 kW (15.04 TR) and Thirteenth requires 54.63 kW
(15.53 TR). The chiller load of six typical floors shall be added to get the chiller load
of 2nd to 8th typical floors and it therefore sums up to 317.34 kW and 32 floors of
thirteenth typical floor shall be added to get total chiller load of 9 to 43rd typical
floors and it therefore adds to 1748.16 kW.
Table 5.33: ApHVAC Chiller Total Cooling Load
The Entire Building’s chiller load of a proposed case model using demand controlled
ventilation strategy goes to 2875.78 kW (817.91 TR)
5.13.3 Baseline Case Model-ASHRAE standard 62.1-2010-CAV
The Baseline Case Model-ASHRAE Standard 62.1-2010-CAV needs 839.95 kW of
chiller load to cool, dehumidify and ventilate the six-floors-based energy model.
Table 5.32 shows a chiller load data and for second floor and thirteenth floor chiller
load refer Appendix J, Table J11 and J12. Second floor level chiller load is 57.21 kW.
Second floor is typical up to eighth level and the chiller load needs six floors to
multiply with to get 2nd to 8th floor chiller load, and therefore it comes as 343.26
kW.
Table 5.34: ApHVAC Chiller Total Cooling Load
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Thirteenth floor needs 71.58 kW for cooling and dehumidification. This floor is a
typical up to 32 levels. Therefore the total count goes to 2290.56 kW. The entire
building has a chiller load of 3473.77 kW (987.99 TR).
5.13.4 Proposed Case Model-ASHRAE standard 62.1-2010-DCV
A demand controlled ventilation strategy applied on the ASHRAE standard 62.1-2010
based outside air flow to the building. Six floors based proposed case model has a
chiller load of 839.96 kW, shown in Table 5.35. Second and thirteenth floor chiller
load is shown in appendix J, Table J14 and J15. Second floor is taken as a typical upto
level eight, therefore multiplying with the factor of 6 will result in 2nd – 8th level
Chiller load.
Table 5.35: ApHVAC Chiller Total Cooling Load
Second floor needs 51.99 kW with six levels, resulting in total chiller load of 311.94
kW and thirteenth floor calls for 62.24 kW and it counts to 32 levels, thus totaling to
1991.68. Upon adding these three chiller loads, the total building load comes out as
3143.58 kW (894.1 TR).
5.14
CHILLER PLANT SIZINIG COMPARISON:
The four cases are studied in section 5.13 of this chapter and different case
configurations are made to compare the chiller plant sizing. Following different case
configurations shall be compared.

Baseline case model-Constant Air Volume (CAV) v/s Proposed case modelCO2 based DCV

Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed Case Model-ASHRAE standard 62.1-2010, CO2
based DCV

Baseline case model-Constant Air Volume (CAV) v/s Baseline Case ModelASHRAE standard 62.1-2010 with Constant Air Volume (CAV)

Proposed case model-CO2 based DCV v/s Proposed Case Model-ASHRAE
standard 62.1-2010, CO2 based DCV

Baseline case model-Constant Air Volume (CAV) v/s Proposed Case Model;
ASHRAE standard 62.1-2010, CO2 based DCV

Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed case model-CO2 based DCV
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Chiller Plant capacity as a result of different case configurations shall be discussed
here as per the case configurations shown above.
5.14.1 Baseline case model-Constant Air Volume (CAV) v/s Proposed case
model-CO2 based DCV:
The Chiller plant size of the Baseline Case Model-CAV is 3,704.76 kW and for a
Proposed Case Model is 2,875.78 kW. System size reduction using demand controlled
strategy is 828.98 kW and therefore chiller size reduces by 22.38%. The savings
recorded is system sizing are quite appealing and it therefore encourages to design a
demand controlled ventilation system. There are two major benefits recorded in this
strategy i.e., better indoor air quality and reduced system sizing. Improved indoor air
quality brings health benefits and good health of the occupants yields in productivity,
alternatively this increases the profitability if the occupants are in office or keeps
good health and mood no matter wherever are the occupants. The reduced system
sizing brings financial benefits in paying less for the HVAC system.
5.14.2 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed Case Model-ASHRAE standard 62.1-2010,
CO2 based DCV:
The chiller plant size of the Baseline Case Model-ASHRAE standard 62.1-2010-CAV
is 3473.77 kW whereas Proposed Case Model-ASHRAE standard 62.1-2010, CO2
based DCV needs chiller plant size of 3143.58 kW. The system size reduction by
using demand controlled ventilation strategy comes at 330.19 kW and therefore the
percentage reduction is 9.5%. The system with constant volume air supplies the air to
the space continuously throughout the day whereas the demand controlled ventilation
allows the outside in the space when the occupancy increases, resulting in the increase
of CO2 concentration in the space. ASHRAE standard 62.1 based minimum amount
of outside air is supplied to the space. This amount of outside air is not enough to
maintain the specified level of CO2 concentration, and therefore indoor air quality is
compromised, Although, reductions of 9.5% is recorded by the application of latter
strategy.
5.14.3 Baseline case model-Constant Air Volume (CAV) v/s Baseline Case
Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV):
The chiller plant load of a Baseline Case Model-CAV is 3,704.76 kW and for
Baseline Case Model-ASHRAE standard 62.1-2010-CAV is 3,473.77 kW. The
system load reduction is by 230.99 kW. The first case uses constant air volume
strategy allowing maximum amount of outside air with no control on indoor CO2
concentration, whereas the second case deals in minimum amount of outside air as
recommended by ventilation standard. Therefore, the sizing difference seen is
approximately 6.23%. ASHRAE standard based minimum amount of outside air
when supplied to the space without any control on space CO2 concentration, the
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HVAC system size goes smaller by 6.23% when a HVAC system with Maximum
amount of outside air is introduced without activating CO2 controller. However, this
reduction in plant sizing is considered as negligible and therefore does not bring any
kind of benefit.
5.14.4 Proposed case model-CO2 based DCV v/s Proposed Case ModelASHRAE standard 62.1-2010, CO2 based DCV:
The Proposed Case Model-CO2-based-DCV requires a chiller load of 2,875.78 kW
whereas Proposed Case Model-ASHRAE standard 62.1-2010, CO2 based DCV calls
for a chiller load of 3,143.58 kW. In this case it is worth noting that the energy model
with maximum amount of outside air but with demand controlled ventilation requires
a smaller system sizing in comparison with ASHRAE standard based-DCV system
allowing minimum amount of outside air. This shows that an HVAC system with
Demand controlled ventilation is smaller than the HVAC system sized based on
minimum outside air requirements. The reduction in HVAC plant capacity is by 267.8
kW and in percent value it comes out as 8.52%. It is therefore highly advised to
design the HVAC system with demand controlled ventilation.
5.14.5 Baseline case model-Constant Air Volume (CAV) v/s Proposed Case
Model; ASHRAE standard 62.1-2010, CO2 based DCV:
The chiller plant load of a Baseline Case Model-CAV is 3,704.76 kW and the
Proposed Case Model; ASHRAE standard 62.1-2010, CO2 based DCV is 3,143.58
kW. The reduction in system sizing is by 561.18 kW and it yields 15.15% savings by
using latter case. Savings in smaller system sizing are appreciable, however, indoor
air quality is compromised. Therefore, it is not recommended to use this type of
system.
5.14.6 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed case model-CO2 based DCV:
The Chiller plant Size for the Baseline Case Model-ASHRAE standard 62.1-2010CAV is 3,473.77 kW, whereas the chiller plant size in Proposed case model-CO2
based DCV comes as 2,875.78 kW. It is quite amazing to note here that ASHRAE
standard based minimum amount of outside air with no control on CO2
concentrations call for bigger plant sizing. In a latter system the plant becomes
smaller by 597.99 kW and in percent reduction it becomes 17.21%. It is therefore,
highly recommended to adapt the demand controlled ventilation based strategy on
HAVC system designing, since this system reduces the plant sizing and brings
operational savings.
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5.15
COST OF ENERGY:
Electrical energy required for space cooling, dehumidification and ventilation in the
Emirate of Dubai is produced and distributed by Dubai Electricity and Water
Authority. The building under analysis is located in JLT, Dubai, therefore, the energy
tariff used in energy cost calculations is DEWA tariff currently charged to residential
and commercial property residents and end users.
5.16
Energy Cost and Tariff:
The building under simulation is located within the premises of Dubai Electricity and
Water Authority (DEWA). The electricity rates used in cost calculations shall be as of
DEWA rates. Table 4.36 shows the DEWA tariff for residential / commercial and
industrial facilities. The tariff slab mentioned is variable based on monthly electricity
consumed, additionally Fuel surcharge of 6.5 fills / kWh is charged. The fuel
surcharge is variable in nature and depends on the fuel supply cost variation as
supplied to DEWA’s generation plants. (www.dewa.gov.ae).
Table 5.36: DEWA Electricity Tariff. (www.dewa.gov.ae, 2014)
However, energy cost calculations shall be performed using tariff slab of AED 0.38
kWh and Fuel surcharge of 0.065 kWh. The total energy consumption rate to be used
is AED 0.445 kWh. All the different case scenarios of Baseline and Proposed cases
shall be used for energy cost calculations.
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5.16.1 Baseline case model-Constant Air Volume (CAV):
Entire building’s Annual electrical energy consumption is computed and therefore,
this comes out to be 7,383,843.83 kWh and accordingly the annual energy charge is
7,383,843.83 x 0.445 = AED 3,285,810.5. The cost of annual electrical energy
consumption to cool, dehumidify and ventilate the space to maintain IAQ is higher
compared to rest of the case calculations. In this case outside air is being supplied
continuously throughout the day regardless of occupancy count or CO2 concentration
levels. There building under study is based on six different zones each having its own
occupancy profile with difference in activity levels. The main reason of higher energy
bills is a continuous and constant flow of outside air.
5.16.2 Proposed case model-CO2 based DCV:
Annual electrical energy consumed by Proposed case model, CO2 based outside air
supply for maintaining comfort levels and IAQ of the space results in 6,009,186.33
kWh and accordingly the annual energy charge is 6,009,525.69 x 0.445 = AED
2,674,238.93. The total energy bill of a proposed case energy model is much less than
the Constant Air Volume based maximum outside air intake to the space. However in
the proposed case model a demand controlled ventilation is assigned to the spaces in
the model except Kitchen and Toilet space. Therefore, in this case of energy modeling
DCV strategy plays an important role in controlling the intake of outside air, thus
reducing the energy bills.
5.16.3 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV):
Annual electrical energy consumed by ASHRAE standard 62.1-2010 based Outside
Air; Baseline Case for maintaining comfort levels and IAQ of the space is
6,989,603.85 kWh and accordingly the annual energy charges are 6,989,603.85 x
0.445 = AED 3,110,373.71. In this case minimum amount of outside air as
recommended by ASHRAE standard 62.1-2010 is supplied to all the spaces in the
model including Toilet and Kitchen extract. Energy bill in this case is higher since
Constant Air Volume is supplied in to the space throughout the day. There is no cut or
reduction in the air supply is made. CAV air supply is the driving force in increasing
the energy bills.
5.16.4 Proposed Case Model-ASHRAE standard 62.1-2010, CO2 based DCV:
Annual electrical energy consumed by ASHRAE standard 62.1-2010 based Outside
Air; Baseline Case for maintaining comfort levels and IAQ of the space is
6,030,457.36 kWh and accordingly the annual energy charges are 6,030,457.36 x
0.445 = AED 2,683,553.53. In this case of energy model demand controlled
ventilation is applied to the energy model thus reducing the outside air demand to the
space. The outside air is supplied when the occupant density within the space
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increases. The CO2 sensor installed at return air duct senses the increase in space
CO2 concentration thus calling for a need to allow more outside air in the space.
5.17 Operational Cost Comparisons using Demand Controlled Ventilation
Design Strategy:
All the four cases as mentioned in above section shall be compared to analyze the
operational cost savings using demand controlled ventilation strategy.
5.17.1 Baseline Case Model-CAV V/S Proposed Case Model-DCV:
The annual electrical energy consumption bill by Baseline case model-Constant Air
Volume (CAV) to cool, ventilate and dehumidify the space as per DEWA rate slab is
AED 3,285,810.5, whereas Proposed case model-CO2 based DCV consumes bill
reaches to AED 2,674,238.93. The net savings achieved between these two cases is
AED 611,571.57, thus forming 18.61% of the total. As discussed in section 5.16
above, the financial savings in annual energy bills are arising due to a demand
controlled based strategy.
5.17.2 Baseline Case Model-ASHRAE Standard 62.1-2010-CAV V/S Proposed
Case Model-ASHRAE Standard 62.1-2010-DCV:
The annual electrical energy bill generated by Baseline Case Model-ASHRAE
standard 62.1-2010 with Constant Air Volume (CAV) to cool, ventilate and
dehumidify the space as per DEWA rate slab is AED 3,110,373.71, whereas Proposed
Case Model-ASHRAE standard 62.1-2010, CO2 based DCV bills to AED
2,683,553.53. The net cost savings achieved between these cases is AED 426,820.18,
forming 13.72% of the total. In this case savings are smaller as compared to the
proposed case model with maximum amount of outside air. ASHRAE standard 62.12010-proposed case model gives savings of 13.72% in annual energy bills but the
indoor air quality is compromised.
5.17.3 Baseline case model-Constant Air Volume (CAV) V/S Baseline Case
Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV):
The annual electrical energy bill by Baseline case model-Constant Air Volume (CAV)
to cool, ventilate and dehumidify the space as per DEWA rate slab is AED
3,285,810.5, and Baseline Case Model-ASHRAE standard 62.1-2010 with Constant
Air Volume (CAV) to cool, ventilate and dehumidify the space is AED 3,110,373.71.
The net cost savings achieved between these two cases comes out to be AED
175436.79 and therefore in terms of percent savings it becomes 5.34%. The savings
achieved in this case configuration is actually meaningless and is out of this study
approach as it talks about constant air volume in both the energy models. Both of
these cases are conventional methods of designing outside air into the space. The
comparison is for the sake of understanding the annual energy bills required by both
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the cases. As it is noticed the savings on energy bills are hardly 5.34% throughout the
year, therefore, designing the outside air on baseline case constant supply of air to the
space is encouraged since the quality of indoor air is maintained in first case, whereas
the latter case compromises on indoor air quality by producing small energy savings
and costing more on occupant health and on employee production.
5.17.4 Proposed case model-CO2 based DCV V/S Proposed Case ModelASHRAE standard 62.1-2010, CO2 based DCV:
Proposed case model-CO2 based DCV’s annual energy charge for this case is AED
2,674,238.93. whereas, the Proposed Case Model-ASHRAE standard 62.1-2010, CO2
based DCV’s annual energy charge for this case is AED 2,683,553.53. The latter case
with minimum amount of outside air consumes more energy and its annual energy
bills is higher by AED 9,465.61. Although the amount is negligible but this confirms
that the an HVAC system with maximum outside air with demand controlled
ventilation design strategy consumes less amount to cool, dehumidify and ventilate
the space. Therefore, demand controlled ventilation system when applied on an
HVAC system designed with maximum amount of outside air, gives energy savings,
utility bill reductions, plant size reductions and improves indoor air quality thus
improves the occupant health. The better the occupant health, the more are the health
benefits and improvement in employee production. A good health also reduces
absenteeism and hospital bills.
5.17.5 Baseline case model-Constant Air Volume (CAV) v/s Proposed Case
Model; ASHRAE standard 62.1-2010, CO2 based DCV
Baseline case model-Constant Air Volume (CAV)’s annual energy bill to cool,
dehumidify and ventilate the building is AED 3,285,810.5 and Proposed Case Model;
ASHRAE standard 62.1-2010, CO2 based DCV’s annual electrical energy bill is AED
2,683,553.53. The net energy bill difference between the first and latter case is AED
602,256.97. The savings therefore are 18.33%. The savings in annual energy bills are
considerably quite appealing between the two cases, however the quality of air within
the space is compromised and due to poor quality and its nature, the health of
occupants is compromised thus reducing the productivity. The sick building
syndrome, the increase in hospital visits resulting in absenteeism, decreasing the
employee production are the resultant factors when designing a building with
minimum amount of air introduced in the building on 800 PPM set point of CO2
concentration. Therefore, this strategy is not recommended mainly due to poor quality
of air and increased cost of construction for demand controlled ventilation systems.
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5.17.6 Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV) v/s Proposed case model-CO2 based DCV:
The annual electrical energy bill generated by Baseline Case Model-ASHRAE
standard 62.1-2010 with Constant Air Volume (CAV) to cool, ventilate and
dehumidify the space as per DEWA rate slab is AED 3,110,373.71 and Proposed case
model-CO2 based DCV energy bill reaches to AED 2,674,238.93. The net savings are
AED 436,134.78 and it records as 14.02% reductions in energy bills. The amount of
savings by applying latter case is quite appreciative, since the previous case uses
minimum amount of outside air as recommended by ASHRAE Standard 62.1-2010.
The positive sign of demand controlled ventilation based maximum amount of outside
air when introduced to the space with CO2 sensor installed on return air duct, gives
out good savings on annual energy bills, apart from being maintaining indoor air
quality of the space.
5.18
REDUCTION IN CO2 EMISSIONS:
Amongst other GHG’s, CO2 emissions are considered vital threat in destabilizing
global atmosphere, said Khan, et al (2013). Fossil fuels burned to generate electrical
energy produces CO2 emissions. The CO2 emission density is dependent on the type
of fossil fuel burned and the combustion process / technology used. Each country has
different CO2 emission rates depending on Fuel type and Fuel mixture. UAE uses
hydrocarbon based Diesel and petroleum fuel for electricity generation. The type of
power plants installed by DEWA are Gas and Steam turbines. The 73% electricity
generated is from Gas Turbines and remaining 27% is from Steam Turbines. DEWA
installed power types are shown in Table 1.2, chapter one. Carbon emission values as
recommended by IEA for Fuel Oil shall be used to calculate total building CO2
emissions. Fuel oil when burned to produce 1 kWh electrical energy produces 0.67
kgCO2. (IEA, 2012).
CO2 emission values for entire building shall be calculated as per the guideline
recommended by IEA recommended CO2 emissions for electricity using fuel oil.
Electricity-specific emission factors for grid electricity for UAE is 0.938297499
kgCO2/kWh. (Brander, M et al, 2011) . The CO2 emission values as shown in section
4.5 and 4.51 are quite different in value, however, the value as recommended by IEA
are more realistic, therefore, in calculating over-all CO2 emissions, the conversion
factor used in this study shall be the IEA recommended one.
5.18.1 Baseline case model; Constant Air Volume (CAV):
Annual electrical energy consumed by Baseline case model; Constant Air Volume
(CAV) for maintaining comfort levels and IAQ of the space is 7,383,843.83 kWh and
accordingly the annual CO2 emissions made are 7,383,843.83 x 0.67 = 4,947,175.4
kgCO2. In this case the maximum amount of outside air is allowed into the space with
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no control on air supply. This strategy maintains indoor air quality but consumes more
energy thus producing higher CO2 emissions.
5.18.2 Proposed case model; CO2 based DCV:
Annual electrical energy consumed by Proposed case model; CO2 based DCV for
maintaining comfort levels and IAQ of the space is 6,009,525.69 kWh and
accordingly the annual CO2 emissions made are 6,009,525.69 x 0.67 = 4,026,382.21
kgCO2. In this design strategy, CO2 emissions are much less than the CAV based
outside air supply and the indoor air quality is maintained throughout the day with
less energy penalty.
5.18.3 Baseline Case Model; ASHRAE standard 62.1-2010 with Constant Air
Volume (CAV):
Annual electrical energy consumed by Baseline Case Model; ASHRAE standard
62.1-2010 with Constant Air Volume (CAV) for maintaining comfort levels and IAQ
of the space is 6,989,603.85 kWh and accordingly the annual CO2 emissions made
are 6,989,603.85 x 0.67 = 4,683,034.58 kgCO2. This strategy is based on minimum
supply of outside air as recommended by ASHRAE standard 62.1-2010. The airflows
are quite less to maintain indoor CO2 concentrations of 800 PPM throughout the day
in majority of spaces except few spaces with activity level-1 i.e., seated at rest.
5.18.4 Proposed Case Model; ASHRAE standard 62.1-2010, CO2 based DCV:
Annual electrical energy consumed by Proposed Case Model; ASHRAE standard
62.1-2010, CO2 based DCV for maintaining comfort levels and IAQ of the space is
6,030,457.36 kWh and accordingly the annual CO2 emissions made are 6,030,457.36
x 0.67 = 4,040,406.43 kgCO2. In this strategy demand controlled ventilation is
applied on ASHRAE standard 62.1-2010 based outside air supply. The DCV strategy
controls the supply of outside air into the space to some extents and cuts the outside
air supply when no occupancy or less occupancy is detected by CO2 sensors. That is
the reason CO2 emissions in this case are quite less in comparison to an ASHRAE
standard 62.1-2010 based system with no CO2 controller.
5.19
REDUCTIONS IN CO2 EMISSIONS USING DCV:
Following are the CO2 emission reductions by using comparing the different multiple
strategies as mentioned in the subsequent section.
The annual CO2 emissions made by Baseline case model-Constant Air Volume
(CAV) are 4,947,175.4 kgCO2, whereas CO2 emissions made by Proposed case
model-CO2 based DCV are 4,026,382.21 kgCO2. The reductions achieved due to the
application of demand controlled ventilation strategy is 920793.19 kgCO2. Therefore,
the total percent reduction is 18.61%. These reductions are mainly due to demand
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controlled ventilation strategy as applied on maximum amount of outside air entering
in to the space. In this case when a maximum volume of outside air available and a
CO2 sensor is installed in the space at return air duct, the CO2 sensor starts
monitoring the CO2 concentration in a return air stream, upon detection of low CO2
concentration, the outside air damper is modulated to reduce or completely cut the
outside air supply. On the contrary when CO2 concentration increases in return air
stream the CO2 controller starts modulating the outside supply air damper to allow
more air to maintain the CO2 set point. Higher occupancy calls for higher amount of
outside air depending on indoor occupant activity level and at lower occupancy the
outside air is reduced to a minimum and cut to zero when no occupancy is sensed.
Therefore by controlling the outside air supply, reduces the load on chiller, air
handlers, pumps etc and this brings less CO2 emissions. The Baseline Case model
with higher amount of outside air and infact no control on CO2 concentration, the
outside air is supplied at a constant rate throughout the day regardless of the
occupancy, time of the day and a season. In this case indoor air quality is maintained
on heavy energy penalty and more upfront cost / initial investment on HVAC system
sizing. The only disadvantage in a previous case design strategy is bigger system
sizing and more energy consumption, higher energy bills and more CO2 emissions.
The annual CO2 emissions made by Baseline Case Model-ASHRAE standard 62.12010-Constant Air Volume (CAV) are 4,683,034.58 kgCO2, whereas CO2 emissions
made by Proposed Case Model-ASHRAE standard 62.1-2010-CO2 based DCV are
4,040,406.43 kgCO2. The reductions achieved due to the application of demand
controlled ventilation strategy is 645,628.15 kgCO2. Therefore, the total percent
reduction is 13.8%. ASHRAE standard 62.1 CAV and DCV strategies when
compared shows a good savings of approximately 13.8% annually in CO2 emissions.
However, both the cases are compromising on health of occupants. Poor occupant
health brings multiple disadvantages such as sick building syndrome, absenteeism,
productivity challenges, more health bills thus putting pressure on national resources.
These both the cases are not recommended.
The annual CO2 emissions made by Baseline Case Model-Constant Air Volume
(CAV) are 4,947,175.4 kgCO2, whereas CO2 emissions made by Baseline Case
Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV) are
4,683,034.58 kgCO2. The reductions achieved in CO2 emissions are 264,140.78
kgCO2. Therefore, the total percent reduction is 5.34%. Both these cases are based on
a design strategy of constant air volume supply to the space, but the latter case is with
minimum supply of outside air in accordance with ASHRAE standard 62.1-2010,
whereas previous case is with maximum amount of outside air. Baseline-Case-ModelCAV consumes more energy but ensures IAQ, whereas the Baseline-Case-ASHRAE
Standard 62.1-CAV produces little lower amount of CO2 emissions but compromises
on air quality within the space. Savings or reductions on CO2 emissions are also not
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that much encouraging. Therefore, both of these strategies are not recommended in
any case of savings.
The annual CO2 emissions made by Proposed case model-CO2 based DCV are
4,026,382.21 kgCO2, whereas CO2 emissions made by Proposed Case ModelASHRAE standard 62.1-2010, CO2 based DCV are 4,040,406.43 kgCO2. The
reductions achieved due to the application of demand controlled ventilation strategy is
-14,024.22 kgCO2. Therefore, the total percent reduction is - 0.35%. Demand
controlled ventilation design strategy on maximum amount of outside air produces
less amount of CO2 emissions, whereas demand controlled ventilation strategy on
ASHRAE standard-62.1-2010 based minimum airflow rates are producing a bit higher
amount of CO2 emissions. The first strategy of HVAC system design controls and
maintains indoor CO2 concentrations while producing lesser quantity of CO2
emissions and maintaining occupant health. Whereas the latter strategy produces little
more CO2 emissions and compromising on occupant health. Therefore, it is highly
recommended to design an HVAC system with demand controlled based ventilation
strategy on maximum amount of outside air while limiting the allowance of outside
air to satisfy the 800 PPM indoor CO2 concentrations.
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CHAPTER 6: CONCLUSIONS AND RECOMMENDATIONS
6.1 SUMMARY OF RESULTS:
The aims and objectives of this dissertation is to analyze the conventional design
trend in building HVAC industry in terms of ventilation strategy, the energy
consumed by higher amounts of hot and humid air to cool, dehumidify and ventilate
the space and use mechanical power to deliver for the end use. Occupancy profile in
residential, hotel accommodation, restaurants, offices, and gymnasium are variable
throughout the day. Supplying outside air at constant airflow rate round the clock puts
huge energy penalty, produces higher amounts of CO2 emissions, and increases the
maintenance cost due to constantly working at full load. Following are the detailed
points which are studied in depth, evaluated technically and economically.
Additionally advantages and disadvantages are discussed on “Business As Usual
Case” or higher amounts of outside air practice of ventilation design strategy, the
waste of resources, indoor environmental condition, energy penalty, system sizing and
CO2 emissions. The similar analysis on another case of ventilation design strategy
with the use of ASHRAE standard 62.1-2010 recommended ventilation rates is also
performed. Final recommended case of CO2-based demand controlled ventilation
shall be applied and evaluation to be done accordingly on energy savings, HVAC
system size reduction, savings in upfront cost, operation and maintenance benefits and
reductions in CO2 emissions achieved by the use of DCV strategy. Focus shall be
made on common understanding by designers on ASHRAE 62.1-2010.
The Simulation data Analysis of a Baseline Case Model-CAV, Proposed Case ModelCO2-based-DCV, ASHRAE standard 62.1-2010-based-CAV and ASHRAE standard
62.1-2010-CO2-Based-DCV are analyzed with various aspects of space CO2
concentrations, System sizing such as chillers, fresh Air Handling Units, pumps,
Annual Energy consumption, Annual Energy cost and CO2 emissions. The highest
amount of energy consumed is by Baseline Case Model-CAV. This model allows the
maximum amount of outside air to keep the CO2 concentrations to the required level
of 800 PPM and due to the allow of maximum amount of outside air in the hot and
humid climate throughout the day and round the year calls for heavy energy penalty to
cool, dehumidify, ventilate to maintain indoor air quality (IAQ). On the Baseline Case
Model-CAV, a CO2 controller was applied to examine the behavior of CO2-based
demand controller ventilation and the energy model was simulated to get the multiple
parameters such as space CO2 concentration, Room temperature, RH, PPD, PMV,
energy consumption, system load etc. The CO2 based demand controlled ventilation
resulted in reduced levels of energy consumptions, reduced energy bills, reduced
system sizing, lower CO2 emissions and satisfied level of thermal comfort.
Proposed Case Model; ASHRAE standard 62.1-2010, CO2 based DCV allows
minimum amount of outside air to the model but consumes more resources and
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releases higher levels of CO2 emissions than the Proposed case model; CO2 based
DCV.
Results achieved are encouraging in terms of HVAC system sizing, operational
savings and reductions in CO2 emissions in “Proposed case model; CO2-basedDCV”. “Baseline case model; Constant Air Volume (CAV)”; the baseline case or
“Business As Usual” has been the industry practice in designing the ventilation
systems. The majority of the HVAC systems across the globe are designed mainly
using two methods. Some designers chose maximum amount of outside air at 100%
peak occupancy throughout the day and some of them use minimum ASHRAE
standard 62.1-2010 recommended breathing zone air for ventilation and Kitchen /
Toilet Exhaust. This study comprises of two major parts in terms of outside air
requirements. The first part implements maximum amount of outside air, limiting to
800 PPM CO2 concentration within the space. Upon analysis of the results achieved it
is seen that at these maximum outside air values provided to the each space are
providing the quality of air by maintaining CO2 concentrations up to 800 PPM within
the space. In a proposed case of CO2-based-DCV the maximum amount of outside
air provided to each space is in accordance with “Baseline case model; Constant Air
Volume (CAV)” (limiting outside air to a level of 800 PPM), the CO2 concentration
in all rooms except those rooms requiring constant exhaust air rates, remains under
the controlled and sensed value of 800 PPM.
“Baseline case model; Constant Air Volume-CAV” is the energy hungry model and
therefore keeps the HVAC system running always at full load. The outside air
introduced in the space (s) is always supplied at Constant Air Volume due to no
installation of CO2 concentration monitors, controllers and air modulating devices
such as variable air volume fresh air handling units, motorized dampers. This type of
system always calls for maximum amount of outside air regardless of CO2
concentration levels in the space, even when there is no occupancy within the space.
On the contrary the “Proposed case model, CO2 based DCV” is designed and
operated as per the requirements of CO2 concentrations within the space, solely
depending on the occupancy rate within the space. The CO2 concentration is
considered as a surrogate gas of human presence and human count. The space
occupied does not always remain with full occupancy density as shown in occupancy
profiles in Appendix E, Figure E1 to E5. Therefore the outside air introduced in the
space mainly depends on the occupancy within the space and as per the occupancy
profiles.
The Chiller plant size in “Baseline case model; Constant Air Volume-CAV” is
3,704.76 kW (1,053.7 TR) for the entire building whereas the Proposed case model;
CO2-based-DCV is 2,875.78 kW (817.9 TR) and therefore the system sizing is
reduced by 22.38% approximately in latter case as compared to Baseline Case Model
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with Constant Air Volume. This much reduction in system sizing translates in
economic benefits in micro and macro level.
Annual Electrical Energy consumed by “Baseline Case Model-CAV” is 7,383,843.83
kWh, whereas the “Proposed case model-CO2-based-DCV” consumes 6,009,525.69
kWh. The annual electricity bill for “Baseline Case Model-CAV” is Dirhams
3,285,810.5 and for latter case is Dirhams 2,674,238.93, thus producing 18.61%
savings for Annual Energy consumption and in Annual Energy Bills. Similarly CO2
reductions are 921,020.52 kgCO2 and therefore percentage savings are 18.61%.
Another method of ventilation system design is based on minimum ventilation and
exhaust air rates in accordance with ASHRAE standard 62.1-2010 or the latest
standard. The ASHRAE standard used in this research study is ASHRAE standard
62.1-2010. A model generated by default goes in two parts such as Baseline case and
Proposed case. Baseline case in here is termed as “Baseline Case Model; ASHRAE
standard 62.1-2010 with Constant Air Volume (CAV)” and Proposed case is termed
as “Proposed Case Model; ASHRAE standard 62.1-2010, CO2-based-DCV”.
Baseline case of this category, brings higher levels of CO2 concentrations in spaces
densely populated with higher metabolic rates. The space CO2 concentration goes up
to 1412 PPM in Meeting Rooms and at around 1200 PPM in Gymnasium, up to 1000
PPM in Hotel Guest Rooms, and 830 PPM to 1400 PPM approximately in office
spaces. Similar is the case in proposed case with slight variation. In some spaces such
as Offices, Hotel Guest Room accommodations and residential spaces where CO2
concentration remains under 800 PPM, or reduced ventilation load is recoded during
off peak hours, some reductions of approximately 13.68% is recoded on system sizing
by the application of “Proposed Case Model; ASHRAE standard 62.1-2010, CO2
based DCV”. However, indoor air quality in majority of the spaces is compromised
due to higher levels of CO2 concentration resulting in the space.
“Proposed case model; CO2 based DCV” chiller plant load is 2,875.78 kW (817.91
TR), whereas “Proposed Case Model; ASHRAE standard 62.1-2010, CO2 based
DCV” has a total chiller load of 3143.58 kW (894.1 TR). It is worth noting that the
previous model involves higher amounts of outside air in comparison to the latter one,
since the latter model uses minimum ventilation rates for breathing and exhaust air as
recommended by ASHRAE standard 62.1-2010. The chiller load of “Proposed modelCO2-based-DCV” is 76.19 TR less than the “Proposed-Case Model; ASHRAE
standard 62.1-2010”, approximately 8.52% less. The result as shown here are
amazing, since the ASHRAE standard 62.1-2010 ventilation rates are the minimum
air flow rates comparatively to the “Proposed Case Model; CO2-based-DCV”
ventilation rates. Electrical energy consumed and CO2 emissions made are also
0.35% less than the “Proposed Case Model; ASHRAE standard 62.1-2010, CO2
based DCV”.
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The main benefit in “Proposed case model; CO2 based DCV” is achievement of
required levels of CO2 concentrations (800 PPM) with smaller system sizing, low
energy consumption, reduced CO2 emissions while maintaining the indoor air quality.
6.2 IMPORTANT FINDINGS:
It is concluded that the “Proposed case model-CO2-based-DCV” has achieved the
excellent results on HVAC system sizing, reduced energy consumptions, reduced
energy bills and reduction in CO2 emissions. Chiller plant system, Fresh Air Handling
Units, chilled water flow pumps capacity is reduced by 22.38%. Operational cost
savings, CO2 emissions are reduced to an encouraging level of 18.61% .
ASHRAE Standard 62.1-2010 based-CAV and ASHRAE Standard 62.1-2010 basedDCV are energy hungry design strategies and compromise on indoor air quality,
resulting in poor health of occupants, whereas on the contrary, Proposed case model;
CO2 based DCV based design strategy consumes less energy, reduces annual energy
bills, keeps smaller system sizing and generates less CO2 emissions. Therefore, the
designers are highly recommended to shift to the demand controlled ventilation based
design strategies.
Energy model in this research study is divided into three sections. The first section is
based on six zones. Basement floor contains Restaurant, Dining rooms and private
dining rooms, with either of the restaurants / dining rooms dedicated for hotel guest
rooms for breakfast and dinner. Concourse or Ground floor occupies restaurants and
Dining rooms, Hotel lobby, residents entrance lobby and lift lobby. First floor is
comprised of offices, gymnasium, treatment rooms and meeting rooms. Second floor
is dedicated for hotel guest rooms with suites, twin rooms and king rooms and each of
these rooms include a separate toilet. Thirteenth floor is designed with apartment
rooms containing toilets and residential kitchens.
Upon comparing the HVAC system sizing and energy consumption individually
between the Baseline Case Model-Constant Air Volume (CAV) and Proposed case
model; CO2 based DCV Energy model, an interesting results were shown. In sixfloors based energy model the majority of spaces such as restaurants, dining rooms,
hotel lobby, meeting rooms are highly populated areas and the occupancy always
changes between 0 to 90%. In restaurants, dining rooms, meeting rooms, the peak
cooling load demand is recorded is during mid-day. Therefore, by employing
“Demand Controlled Ventilation” strategy, the HVAC plant sizing reduction is
recorded as 19.8% smaller than the “Constant Air Volume System” of the “Maximum
Outside Air Supply” to the space, however, 33% savings on thermal energy
consumptions are recorded. The spaces located on Basement, Concourse and First
floors in “Six-floors” based energy model are occupied during the day when outside
ambient is high and therefore requires more energy consumption and bigger HVAC
P a g e | 125
Plant sizing. That’s why the HVAC Plant Sizing reduction recorded is 19.8% and
energy consumption is reduced by 33%.
Second floor is dedicated for hotel accommodation rooms which is normally occupied
during rest hours of night and during weekends and during day, normally the
occupants are outside and system is kept off during peak hours of the day. Due to this
reason the HVAC Plant sizing is reduced by 43.8%, whereas the savings in energy
consumptions are achieved by 33%.
Thirteenth floor is a residential floor and occupies bed rooms, living rooms, toilets
and kitchens. The residential floor has same profile as of second floor. Only one
addition is made and that is of a Kitchen. The reductions in HVAC plant sizing
recorded is 17% and thermal energy consumption is reduced by 25.55%.
From the above findings it can be said that the spaces which are heavily populated
and having the occupancy profile of those spaces of the modulating type, higher
savings in energy consumptions can be anticipated.
6.3 RECOMMENDATIONS
As can be seen from the energy model results, Maximum Outside Air-CAV and
ASHRAE Standard 62.1-2010 based-CAV are consuming higher amounts energy.
Adapting first case design methodology, the resulting energy penalty is very high with
a better indoor air quality, however, the latter case design methodology consumes
more energy along with poor occupant health. The design strategy using Baseline case
model-Constant Air Volume (CAV) v/s Baseline Case Model-ASHRAE standard
62.1-2010 with Constant Air Volume (CAV) gives very small energy savings of
5.34% on a compromise of Indoor Air Quality (IAQ).
The most beneficial design Strategy as recommended based the Energy Model results
is demand controlled ventilation. Upon comparing the results of Baseline case modelConstant Air Volume (CAV) v/s Baseline Case Model-ASHRAE standard 62.1-2010
with Constant Air Volume (CAV), the total annual energy savings reached up to
18.61% and HVAC Plant size reduction achieved is 22.38%.
After comparing the results of a Proposed case model-CO2 based DCV with Proposed
Case Model-ASHRAE standard 62.1-2010, CO2 based DCV, it is shown that the
latter design strategy actually consumes bit more of the energy, then the first case
methodology.
The Designers have either followed the design methodology of designing an HVAC
system with maximum amount of outside air pumped in to the space or depend on
minimum amount of outside air as per the recommendations of ASHRAE Standard
62.1-2010 or previous versions, whichever, was applicable at the time of design. Both
P a g e | 126
of these strategies have resulted in huge energy penalty with a compromise on indoor
air quality in latter case. Based on the results and achievements of this study it is
recommended to adapt the demand controlled ventilation strategy in designing of the
HVAC system for any type of the building, since this strategy results in financial
benefits, good health of the occupants and employee productivity, reduced hospital
visits and ultimately a less burden on a national treasury for health expenditures.
6.4 FURTHER WORK
There is no limit as said well “the Sky is the limit”, similarly the assumptions,
parameters and the software used might have some more advanced feature in coming
days with more research going on in this field. Further work can also be done using
outside air in chilled beams or under floor cooling and might produce more energy
savings in terms of cooling and dehumidifying the outside air in combination with
recirculated air.
In addition to the type of the building analyzed under this research study, further work
can be carried out in analyzing the impact of demand controlled ventilation on overall technical and financial savings on Schools, Religious Worship buildings,
Supermarkets, Hypermarkets, Multi-purpose assembly Halls, Auditoriums, Court
rooms / halls, Library, Museums etc.
Supermarkets and hypermarkets might bring more savings, since in these facilities
occupancy starts after noon hours of the day throughout the week days. Occupancy
during the week days is lower compared to weekends. Religious worship buildings
are mostly occupied for 1-2 hours for a day in a week or major religious occasions
annually. Multi-purpose assembly halls and Auditoriums are also event based
buildings.
P a g e | 127
REFERENCES
Abdullah, H., Nitamakwuavan, S., and Jalaludin, A.F., (2012). Energy Studies on
Central and Variable Refrigerant Flow Air-Conditioning Systems. AIP Conf. Proc.
1440, pp. 486-490. American Institute of Physics. Available on
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=35aeaa9
0-93e0-4d89-8d7e-7c1a7b9b87da%40sessionmgr114&vid=1&hid=103.
[pdf].
Accessed on 16/12/2013.
Abdellatif, M.A., and Othman A.A.E (2006). Improving the sustainability of lowincome housing projects: The case of residential buildings in Musaffah Commercial
City, Abu Dhabi. Emirates Journal for Engineering Research, vol (2), pp. 47-58.
Available
on:
http://eclsun.uaeu.ac.ae/ejer/issues/v11/pdf_iss2_11/4.%20Abdellatif.pdf. Accessed
on: 18/12/2013.
Air Conditioning Design Parameters. Green Building Regulations and Specifications.
Available at www.dm.gov.ae. Accessed on 01/04/2014.
Aldossary, N.A., Rezgui, Y., and Kwan, A., (2014). Domestic energy consumption
patterns in a hot and humid climate: A multiple-case study analysis. Applied Energy,
vol.
(114),
pp.
353-365.
Elsevier,
B.V.
Available
on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S0306261913008088#.
Accessed
on: 22/12/2013.
ANSI/ASHRAE STANDARD 62.1-2010, Ventilation for Acceptable Indoor Air
Quality. American Society of Heating, Refrigeration and Air-conditioning Engineers,
Inc, Atlanta, 2007.
ASHRAE STANDARD 55-2004, Conditions that provide thermal comfort. American
Society of Heating, Refrigeration and Air-conditioning Engineers, Inc, Atlanta, 2004.
ASHRAE STANDARD 62.1-2004, Ventilation for Acceptable Indoor Air Quality.
American Society of Heating, Refrigeration and Air-conditioning Engineers, Inc,
Atlanta, 2004.
P a g e | 128
“ASHRAE Std 62.1 Update, Where Are We Now?” Available
http://www.slideshare.net/ashrae6/ashrae-standard-621-update.
Accessed
23/01/2013.
on:
on
Andre, P., Georges, B., Lebrun, J., Lemort, V., and Teodorese, I.V., (2008). From
model validation to production of reference simulations: how to increase reliability
and applicability of building and HVAC simulation models. Building Services
Engineering Research & Technology, vol. (29), issue 1, pp. 61-72. Sage Publications,
Ltd.
ASHRAE STANDARD 62-1999, Ventilation for Acceptable Indoor Air Quality.
American Society of Heating, Refrigeration and Air-conditioning Engineers, Inc,
Atlanta, 1999.
Azadeh, A., Shirkouhi, S.N., and Rezale, K., (2010). A robust decision-making
methodology for evaluation and selection of simulation software package.
International Journal of Advanced Manufacturing Technology, vol.(47), pp. 381-393.
Springer
Science
and
Business
Media
B.V.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=470bde
31-6907-4850-9065-691a9e000a4b%40sessionmgr113&vid=2&hid=4106. Accesed
on: 24/12/2013.
Azhar, S., Brown, J., & Farooqui, R., (2009). BIM-based Sustainability Analysis: An
evaluation of Building Performance Analysis Software. October 2009, pages 1-9.
Available on: http://ascpro.ascweb.org/main.php . Accessed on: 25/12/2013.
Azhar, S., Hein, M., & Sketo B., (2008). Building Information Modeling (BIM):
Benefits, Risks and Challenges. 2008, pages 1-11. Available on:
http://ascpro.ascweb.org/main.php . Accessed on: 25/12/2013.
Azhar, S., Sattineni, A., & Hein M., (2010). BIM Undergraduate Capstone Thesis:
Student Perception and Lessons Learned. 2010, pages 1-8. Available online:
http://ascpro0.ascweb.org/archives/2010/CEUE200002010.pdf . Accessed on:
25/12/2013.
P a g e | 129
“Building Energy Software Tools Directory”, 2013. U.S. Department of Energy.
Available online: http://apps1.eere.energy.gov/buildings/tools_directory/ . Accessed
on: 25/12/2013.
Chapter-2 Construction and Housing. Statistical Yearbook-Emirate of Dubai. Dubai
Statistics
Center,
Government
of
Dubai.
Available
on:
http://www.dsc.gov.ae/Publication/Statistical%20Year%20Book%202011.pdf.
Accessed on: 18/12/2013.
“Climate change 101: Overview”. The Center for Climate and Energy Solutions
(C2ES),
Arlington,
VA
(2011).
Available
on
http://www.c2es.org/docUploads/climate101-overview.pdf. Accessed on 27-02-2013.
“Climate change 101: Technological Solutions”. The Center for Climate and Energy
Solutions
(C2ES),
Arlington,
VA
(2011).
Available
on
http://www.c2es.org/docUploads/climate101-technology.pdf. Accessed on 27-022013.
“Climate Change Basics”. United States Environmental Protection Agency. Available
on: http://www.epa.gov/climatechange/basics/ . Accessed on 06/03/2013.
“CO2-Based Demand-Controlled Ventilation with ASHRAE Standard 62.1-2004”,
Engineers
Newsletter.
Vol.
34-5.
Available
on:
http://www.trane.com/commercial/library/vol34_5/admapn017en_1005.pdf. Accessed
on 23/01/2013.
Dimitroulopoulou .C, (2012). Ventilation in European dwellings: A review. Building
and Environment, vol. (47), pp. 109-125. Elsevier B.V.
Dubai Completed building census in March-official (2005). Available on:
http://gulfnews.com/news/gulf/uae/general/dubai-completed-building-census-inmarch-official-1.299856. Accessed on: 18/12/2013.
P a g e | 130
Electricity (2012). Dubai Electricity and Water Authority. Available on:
http://www.dewa.gov.ae/aboutus/electStats2012.aspx. Accessed on: 18/12/2013.
Electricity (2012). Abu Dhabi Water and Electricity Authority (ADWEA). Available
on: http://www.adwea.ae/en/home.aspx#electricity. Accessed on 18/12/2013.
Fan, Y., Kameishi, K., Onishi, S., Ito, K., (2013). Field-based study on the energysaving effects of CO2 demand controlled ventilation in an office with application of
Energy recovery ventilators. Energy and Buildings, vol.(68), Part A, pp. 412-422.
Elsevier,
B.V.
Available
on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S0378778813006257#.
Accessed
on: 22/12/2013.
Fink, H.S., (2011). Promoting behavioral change towards lower energy consumption
in the building sector, vol. (24), Nos., 1-2, pp. 7-26. The European Journal of Social
Science Research. Routledge Taylor and Francis Group. Available on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=078cabb
f-adcb-4850-aeab-0d4999ccf448%40sessionmgr4002&vid=2&hid=4206 . Accessed
on 21/12/2013.
“Fossil Fuel Energy Consumption (% of total)”. Available on:
http://data.worldbank.org/indicator/EG.USE.COMM.FO.ZS/countries/1W-AE-USGB-SA?display=graph. Accessed on 05/03/2013.
Froling, M., (2009). Energy use, population and growth, 1800-1970. Journal of
Population Economics (2011), vol. (24), pp. 1133-1163. Springer Science and
Business
Media
B.V.
Available
online:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=162e3f1
5-fa8f-4b6c-beed-6a631c9b24c9%40sessionmgr111&vid=1&hid=119.
Accessed
on:21/12/2013.
Hassan, A.S., and Ramli, M., (2010). Natural Ventilation of Indoor Air Temperature:
A Case Study of the Traditional Malay House in Penang. American Journal of
Engineering and Applied Sciences 3, vol (3), pp. 521-528. Science Publication.
Available
on:
P a g e | 131
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=c21296
76-e6a2-4944-8914-5d687756a914%40sessionmgr111&vid=2&hid=108. Accessed
on 20/12/2013.
How much energy is consumed in the world by each sector? EIA, 2011. Available on:
http://www.eia.gov/tools/faqs/faq.cfm?id=447&t=1 [html]. Accessed on: 21/12/2013.
Implied emission factors from electricity generation. CO2 Emissions from fuel
combustion: Documentation for beyond 2020 files. International Energy Agency
(IEA, 2012).
“International Energy Outlook 2013”. International Energy Agency, Paris. Available
on: http://www.eia.gov/forecasts/ieo/?src=Analysis-f3. Accessed on 12/12/13.
International Energy Statistics (2012). U.S. Energy Information Administration.
Available
on:
http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=44&pid=44&aid=2
[html]. Accessed on 21/12/2013.
Isaac, M., and Vuuren, D.P.V., (2009). Modelling global residential sector energy
demand for heating and air conditioning in the context of climate change. Energy
Policy., vol. (37), issue 2, pp. 507-521. Elsevier, B.V. Available on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S0301421508005168#. Accessed on
22/12/2013.
Ismail, M., Rahman, A.M.A., Roosli, R., and Mydin, M.A.O, (2012). Potential and
Constraints of Advanced Stack Ventilation Application in the Tropics: A Review.
International Journal of Academic Research, vol. (4), No.2. Natural and Applied
Sciences.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=fd97d40
3-aef0-4610-b825-fb7fbb94055f%40sessionmgr114&vid=1&hid=103. Accessed on:
20/12/2013.
P a g e | 132
“July hottest month in UAE for past 9 years”, EMIRATES 24/7. Available on:
http://www.emirates247.com/news/emirates/july-hottest-month-in-uae-for-past-9years-2012-07-31-1.469527, Accessed on 20/12/2012.
Kazim, A.M. (2007). Assessment of primary energy consumption and its
environmental consequences in the United Arab Emirates. Renewable and Sustainable
Energy Reviews, vol (11), issue 3, pp. 426-446. Elsevier publishing. Available on
http://www.sciencedirect.com/science/article/pii/S1364032105000390. Accessed on
15/12/2013.
Khan, M.A., Khan, M.Z., Zaman, K., and Naz, L., (2013). Global estimates of energy
consumption and greenhouse gas emissions. Renewable and Sustainable Energy
Reviews, vol., (29), pp. 336-344. Elsevier, B.V. Available on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S136403211300631X#. Accessed
on: 22/12/2013.
Khan, M.A., Khan, M.Z., Zaman, K., and Arif, M., (2013). Global estimates of
energy-growth nexus: Application of seemingly unrelated regressions. Renewable and
Sustainable Energy Reviews, vol. (29), pp. 63-71. Elsevier, B.V. Available on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S136403211300628X# . Accessed
on: 22/12/2013.
Kulshreshtha, P., Khare, M., and Seetharam, P., (2008). Indoor air quality assessment
in and around urban slums of Delhi city, India. Indoor Air 2008, vol (18), pp. 488498. Blackwell publishing. Available on: www.blackwellpublishing.com/ina.
Accessed on 22/01/2013.
Lighting Power Density – Interior. Green Building Regulations and Specifications,
2014. Available at www.dm.gov.ae Accessed on 04/04/2014.
Loney, T., Aw, T.C., Handysides, D.G., Ali, R., Blair, I., Grivna, M., Shah, S.M.,
Hussein, M.S., El-Sadig, M., Sharif, A.A., and El-Obaid, Y. (2013). An Analysis of
the health status of the United Arab Emirates: the ‘Big 4’ public health issues. Global
Health
Action.
Available
on:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566378/. Accessed on 17/12/2013.
P a g e | 133
Lo, L.J., and Novoselac, A., (2011). CFD Simulation of Cross-Ventilation Using
Fluctuating Pressure Boundary Conditions. American Society of Heating,
refrigerating
and
Air-Conditioning
Engineers,
Inc.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=c657f89
e-ab35-4a62-9aba-dbdd1543c268%40sessionmgr110&vid=1&hid=108. Accessed on:
20/12/2013.
Lu, T., Lu, X. and Viljanen M, (2011). A novel and dynamic demand-controlled
ventilation strategy for CO2 control and energy saving in buildings. Energy and
Buildings, vol. (43), pp. 2499-2508. Elsevier B.V.
Martinez, M.E., Arbizu, M.V., and Gomez, C.S., (2014). Simulation and evaluation of
Building Information Modeling in a real pilot site. Applied Energy, vol. (114), pp.
475-484.
Elsevier,
B.V.
Available
on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S0306261913007940#.
Accessed
on: 22/12/2013.
“Minimum Outdoor Airflow Using the IAQ Procedure”, Engineers Newsletter. Vol.
40-3.
Available
on:
http://www.trane.com/cps/uploads/userfiles/educationalresources/admapn042en_0911
.pdf. Accessed on 23/01/2013.
Mysen, M., Berntsen, S., Nafstad, P., and Schild, P.G., (2005). Occupancy density
and benefits of demand-controlled ventilation in Norwegian primary schools. Energy
and Buildings, vol., (37), pp. 1234-1240.Elsevier, B.V. Available on
www.sciencedirect.com.
Nassif, N., (2011). A robust CO2-based demand-controlled ventilation control
strategy for multi-zone HVAC systems. Energy and Buildings, vol. (45), pp. 72-81.
Elsevier B.V.
Ng, MO., Qu, M., Zheng, P., Li, Z. and Hang, Y,. (2011). CO2-based demand
controlled ventilation under new ASHRAE Standard 62.1-2010: a case study for a
gymnasium of an elementary school at West Lafayette, Indiana. Energy and
Buildings, vol. (43), pp. 3216-3225. Elsevier B.V.
P a g e | 134
Ohba, M., and Lun, I (2010). Overview of natural cross-ventilation studies and the
latest simulation design tools used in building ventilation-related research. Advances
in building energy research, vol (4), pp. 127-166. Earthscan publishing for sustainable
future.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=36e133c
c-fb59-4368-a9af-a25612eb99fd%40sessionmgr112&vid=1&hid=121
[pdf].
Accessed on: 19/12/2013.
Omer, A.M., (2008). Energy, environment and sustainable development. Renewable
and Sustainable Energy Reviews, vol (12), pp. 2265-2300. Elsevier Ltd. Available on:
www.sciencedirect.com. Accessed on 9/12/2012.
Overview
data
for
Kuwait.
(EIA,
2011).
Available
on:
http://www.eia.gov/countries/country-data.cfm?fips=KU . Accessed on 10/03/2014.
Papakostas, K.T., Michopoulos. A., Mavromatis, A., and Kyriakis, N. (2013).
Changes of temperature data for energy studies overtime and their impact on energy
consumption and CO2 emissions. The case of Athens and Thessaloniki-Greece.
Energy
and
Environment
vol.
4,
pp.
59-72.
Available
on:
http://www.ijee.ieefoundation.org/vol4/issue1/IJEE_05_v4n1.pdf.
Accessed
on
26/02/2013
Rahimi, M., and Arianmehr (2011). The effect of a Vertical Vent on Single-Sided
Displacement Ventilation. International Scholarly Research Network. Vol. (2011).
ISRN
Mechanical
Engineering.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=733c57
4f-b68c-473d-a693-f73a5b010a81%40sessionmgr4005&vid=1&hid=4209
[pdf].
Accessed on: 20/12/2013.
Schwab. K., Martin, X. S., and Greenhill. R. (2011). The Global Competitiveness
Report 2011-2012. World Economic Forum, Geneva. Available on
http://www3.weforum.org/docs/WEF_GCR_Report_2011-12.pdf.
Accessed
on
05/03/2013.
P a g e | 135
Shan, K., Sun, Y., Wang, S. and Yan, C. (2012). Development and In-situ validation
of a multi-zone demand-controlled ventilation strategy using a limited number of
sensors. Building and Environment, vol. (57), pp. 28-37. Elsevier B.V.
Slab Tariff. Available at http://www.dewa.gov.ae/tariff/tariffdetails.aspx. Accessed on
10/05/2014.
Sukri, M.F., Salim, M.A., Rosli, M.A.M., Azraai, S.B., and Dan, R.M., (2012). An
Analytical Investigation of Overall Thermal Transfer Value on Commercial Building
in Malaysia. International Review of Mechanical Engineering (I.E.E.M.E.), vol (6),
N.5.
Praise
Worthy
Prize
S.r.l.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=f404452
2-fe5f-4832-af40-6bb9368db1a5%40sessionmgr4002&vid=2&hid=4107
[pdf].
Accessed on 16/12/2013.
Sulaiman, S.A., Rashid, M.S.A., and Hassan, A.H., (2012). Manipulation of
Operating Configuration of Cool Air Supply in Buildings for Reduction of Cooling
Energy. AIP Conf. Proc. 1440, pp. 261-272. American Institute of Physics. Available
on
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=b51ecfb
f-408e-4a20-8fbe-2634b408d14a%40sessionmgr4005&vid=2&hid=4107. Accessed
on 16/12/2013.
Sun, Z., Wang, S. and Ma, Z., (2010), In-situ implementation and validation of a
CO2-based adaptive demand-controlled ventilation strategy in a multi-zone office
building. Building and Environment, vol. (46), pp. 124-133. Elsevier B.V.
Stebat, P., Caciolo, M., and Marchio, D., (2012). Progress on single-sided ventilation
techniques for buildings. Advances in Building Energy Research, vol. (6), No.2, pp.
212-241.
Taylor
&
Francis
Group.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?vid=6&sid=
e611e04d-f9e7-436c-9654-282e8e35ab7e%40sessionmgr4005&hid=4209.
[pdf].
Accessed on: 19/12/2013.
P a g e | 136
UAE begins to switch on to energy efficiency. CSR Middle East, (2014). Available
on:
http://csrmiddleeast.org/profiles/blogs/uae-begins-to-switch-on-to-energyefficiency . Accessed on 10/03/2014.
Wagner, T.C., (2012). The Current State of Energy Retrofits for Small and Medium
Building. American Society of Heating, Refrigeration and Air-conditioning
Engineers,
Inc,.
Available
on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=c810b0
40-b711-47e9-9ede-921beb375c3e%40sessionmgr4004&vid=2&hid=4107. Accessed
on 16/12/2013.
Yang, L., Yan, H., and Lam, J.C., (2013). Thermal comfort and building energy
consumption implications-A review. Applied Energy, vol., (115), pp., 164-173.
Elsevier,
B.V.
Available
on:
http://ezproxy1.hw.ac.uk:2085/science/article/pii/S0306261913008921. Accessed on:
22/12/2013.
Zakula, T., Gayeski, N.T., Armstrong, P.R., and Norford, L.K., (2011). Variablespeed heat pump model for a wide range of cooling conditions and loads. HVAC & R
Research, vol (17) Number 5, pp. 670-691. American Society of Heating,
Refrigeration and Air-conditioning Engineers, Inc. Taylor & Francis. Available on:
http://web.ebscohost.com.ezproxy.buid.ac.ae/ehost/pdfviewer/pdfviewer?sid=c3ba056
f-1e9c-42b4-8f70-2e826a8b7515%40sessionmgr4001&vid=2&hid=4107. Accessed
on 17/12/2013.
Zhang, L., (2011). Experimental and simulation Study on Demand Controlled
Ventilation.
Available
on:
http://books.google.ae/books?id=lRAQLWcXnyEC&pg=PA5&lpg=PA5&dq=Experi
mental+Demand+controlled+ventilation+study&source=bl&ots=ihpSNMEjCS&sig=f
rp5eql8f3OmyARjdP4EwjVjFjc&hl=en&sa=X&ei=6DS3UsLZK7Sg0wW4l4BI&ved
=0CCwQ6AEwAA#v=onepage&q=Experimental%20Demand%20controlled%20ven
tilation%20study&f=false
.
Accessed
on:
23/12/2013.
P a g e | 137
APPENDICES
Appendix A:Floor Plans and External Building Fabric.
Figure A1: Promenade Level. (Courtesy of Algurg Consultants, Dubai)
P a g e | 138
Figure A2: Concourse Level Layout. (Courtesy of Algurg Consultants, Dubai)
P a g e | 139
Figure A3: First Floor layout. (Courtesy of Algurg Consultants, Dubai)
P a g e | 140
Figure A4: 2nd – 8th Floor Typical (Hotel Rooms). (Courtesy of Algurg Consultants,
Dubai)
P a g e | 141
Figure A5: 9th, 10th 11th to 12th and 13th to 19th and 21st to 30th Floor residential
layout. (Courtesy of Algurg Consultants, Dubai)
P a g e | 142
Table A.1: Overall Heat Transfer Co-efficient (U-Value) calculation data sheet for
external wall
P a g e | 143
Table A.2: Over-all Heat Transfer Co-Efficient and Glass Shading Factor
P a g e | 144
Table A.3: Lighting Power Density (DGB Regulations and specifications, 2013)
P a g e | 145
Appendix- B: IESVE; Sun cast and construction material Inputs data.
Table B.1: Sun Cast Analysis of Laguna Tower at JLT, Dubai, UAE
Figure B.1: Baseline External wall U-value
Figure B.2: Baseline Roof U-value
P a g e | 146
Figure B.3: Baseline External Window (Glazed) U-value
Figure B.4: Proposed External wall U-value
Figure B.5: Proposed Roof U-value
P a g e | 147
Figure B.6: Proposed External Window (Glazed) U-value
P a g e | 148
Appendix C - IESVE; Apache System and PRM Navigator input data.
Figure C.1: ASHRAE Baseline Prototype System
P a g e | 149
Figure C.2: PRM Simulation steps
P a g e | 150
Table C-1: Equipment Power; Baseline and Proposed
Table C-2: Occupant Density
P a g e | 151
Table C-3: Outside Air Quantity for maintaining 800 ppm CO2 concentration
Table C-4: Air Infiltration value
P a g e | 152
Table C-5: System Schedules and Setpoints
P a g e | 153
Appendix D: HVAC Systems and Controllers; Baseline and Proposed
Figure D.1: HVAC system for Dining and Restaurants
Figure D.2: HVAC system for Commercial Kitchen
P a g e | 154
Figure D.3: HVAC system for Residential Kitchen
Figure D.4: HVAC system for Restrooms Public
P a g e | 155
Figure D.5: HVAC system for Restrooms Private
Figure D.6: HVAC system for Garbage Rooms
P a g e | 156
Figure D.7: MC3 Controller, Baseline Zone Ventilation parameters
Figure D.8: MC2 Controller; Cooling SAT reset per zone dehumidification demand
P a g e | 157
Figure D.9: MC1 Controller; Cooling SAT reset per zone demand
Figure D.10: MC9 Controller; FCU Cooling Coil SAT controller
P a g e | 158
Figure D.11: MC8 Controller; FCU Heating Coil SAT controller
Figure D.12: MC5 Controller; FCU Cooling airflow controller
P a g e | 159
Figure D.13: MC4 Controller; FCU Heating airflow controller
Figure D.14(a): M4 Controller; PRM Baseline FCU Fan
P a g e | 160
Figure D.14(b): Fan Speed Characteristics; PRM Baseline FCU Fan
Figure D.15: M2: FCU Cooling Coil
P a g e | 161
Figure D.16: M2: FCU Heating Coil
Figure D.17: MC6 Controller; Exhaust Airflow Controller
P a g e | 162
Figure D.18: S3 System; Dedicated Outside Air System Cooling Coil
Figure D.19: S4 System; AHU-1 Heating Coil
P a g e | 163
Figure D.20 (a): S2 System; PRM Baseline Supply Fan (Outside Air)
Figure D.20 (b): Outside Air Fan Characteristics
P a g e | 164
Figure D.21: S7 system; Air-to-air heat/enthalpy exchanger
Figure D-22: SC4 Controller; cooling mode energy recovery target per RA
temperature
P a g e | 165
Figure D.23: SC5 Controller; heating mode energy recovery target per RA
temperature
Figure D.24: MC3 Controller; Proposed System Zone Ventilation from DOAS into
FCU with DCV
P a g e | 166
Figure D.25: Baseline System; System Parameters with Heat Recovery on
Highlighted zones.
Figure D.26: Baseline System; System Parameters without Heat Recovery on
Highlighted zones.
P a g e | 167
Figure D.27: Proposed System; System Parameters with Heat recovery and DCV on
highlighted zones
Figure D.28: Proposed System; System Parameters with no Heat recovery and no
DCV on highlighted zones
P a g e | 168
Figure D.29: Proposed System; System Parameters with Heat recovery and no DCV
on highlighted zones
Figure D.30: Electricity Tariff
P a g e | 169
Figure D.31: Tariff Analysis Overview
Figure D.32: Set parameters for “Unmet load hour” temperature tests
P a g e | 170
Appendix- E: Occupancy profiles as per ASHRAE 90.1 – 2007 for all Baseline and
Proposed Cases except Case-1-A-Baseline.
Figure E.1: Restaurant / Dining area profile
Figure E.2: Office Building Profile
Figure E.3: Gymnasium / Building Non-Residential Occupancy Profile
P a g e | 171
Figure E.4: Residential / Hotel / Motel / Occupancy Profile
Figure E.5: Health Building Occupancy Profile – used in First Floor Treatment
Rooms.
Figure E.6: Adjacency – Ground and Roof.
P a g e | 172
Figure E.7: Adjacency – External.
Figure E.8: Adjacency – Profile assigned to Ground and Roof Adjacencies.
P a g e | 173
Appendix – F Results
Figure F.1: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 1 and 21for Restaurants and Hotel Lobbies Spaces
Figure F.2: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 27 and 47 for Meeting Rooms Spaces
P a g e | 174
Figure F.3: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 235 and 255 for Gymnasium Space
Figure F.4: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 235 and 255 for Treatment Rooms Spaces
P a g e | 175
Figure F.5: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 287 and 307 for Misc_Offices, Corridors, Dressing and
Miscellaneous Spaces
Figure F.6: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 313 and 333 for Offices Spaces
P a g e | 176
Figure F.7: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 53 and 73 for Hotel Guest Rooms Spaces
Figure F.8: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 79 and 99 for Apartments Spaces
P a g e | 177
Figure F.9: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume Flow
and Air temperature) at Nodes 105, 125 and 126 for Commercial Kitchen Spaces
Figure F.10: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume
Flow and Air temperature) at Nodes 131, 151, and 152 for Residential Kitchen Spaces
P a g e | 178
Figure F.11: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume
Flow and Air temperature) at Nodes 157, 177 and 178 for Public Restroom Spaces
Figure F.12: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume
Flow and Air temperature) at Nodes 183, 203 and 204 for Residential / Private
Restroom Spaces
P a g e | 179
Figure F.13: Outside Air In/Out characteristics (RH, CO2 Concentration, Volume
Flow and Air temperature) at Nodes 209, 229 and 230 for Garbage Room Spaces.
P a g e | 180
Table F.1: Baseline case model; Constant Air Volume (CAV); Space CO2 concentration
Var. Name
Type
Room CO2 concentration: LV Room (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Rest Service Area (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Female Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Male Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Handicapped Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: UPS Room (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Director_Finance_Room (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Revenue_Mgr (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Finance_Deptt (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Director_Sales_Mark (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Reservations_Deptt (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Airlock (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Lift_Lobby (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Lobby (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Human_res_Deptt (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Director_HR_Develop (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: GM_Execut_Assistant (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: GM (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Meeting_Rm4 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Rain_Body_Shower (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Pump_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Treatment_Rm2 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Swim_Pool_Pump_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Gym Store (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Sauna (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Treatment_Rm4 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Treatment_Rm5 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Treatment_Rm6 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Steam_Rm6 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Electrical_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Mens_Locker_Rm6 (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
P a g e | 181
Min. Val.
Min. Time
360
01:30,08/Jan
360
05:30,28/Jun
360
15:30,01/Jan
360
11:30,01/Jan
360
04:30,01/Jan
360
10:30,08/Jan
360
07:30,22/Jul
360
05:30,18/Jan
360
05:30,05/Jul
360
04:30,11/Jan
360
05:30,10/Jan
360
05:30,28/Jun
360
05:30,22/Aug
360
05:30,28/Jun
360
02:30,01/Jan
360
05:30,08/Feb
360
00:30,01/Jan
360
05:30,08/Feb
360
04:30,28/Jun
360
04:30,07/Jun
360
05:30,15/Mar
360
12:30,01/Jan
360
03:30,16/May
360
03:30,03/Jan
360
16:30,02/Jan
360
00:30,01/Jan
360
06:30,28/Feb
360
18:30,02/Jan
360
05:30,28/Jun
360
05:30,25/Jan
360
12:30,01/Jan
360
17:30,18/Feb
360
01:30,01/Jan
360
03:30,10/Jan
360
02:30,08/Feb
360
03:30,11/Jan
360
02:30,01/Jan
360
01:30,01/Jan
06:30,19/Jul
740
Max. Val.
Max. Time
360
14:30,01/Jan
697
16:30,25/Jan
360
01:30,16/Mar
360
01:30,01/Jan
360
03:30,01/Jan
360
01:30,29/Jan
360
05:30,04/May
756
16:30,14/Jul
750
16:30,14/Jul
758
16:30,14/Jul
760
16:30,30/Apr
711
16:30,25/Jan
760
16:30,25/Jan
677
16:30,25/Jan
360
14:30,19/Aug
360
12:30,24/Jan
360
00:30,01/Jan
744
16:30,19/Apr
759
16:30,14/Jul
757
16:30,14/Jul
746
16:30,25/Jan
360
19:30,30/Jan
684
16:30,07/Jul
760
16:30,26/Apr
360
12:30,08/Jan
360
00:30,01/Jan
686
16:30,08/Jun
360
05:30,01/Jan
717
16:30,25/Jan
745
16:30,14/Jul
360
08:30,08/Feb
360
00:30,08/Feb
360
00:30,01/Jan
688
16:30,28/Apr
687
16:30,26/Jul
687
16:30,04/Jun
360
14:30,02/Jan
360
04:30,01/Jan
16:30,17/Jul
491
Mean
360
466
360
360
360
360
360
481
479
481
482
469
482
463
360
360
360
477
482
481
478
360
459
482
360
360
473
360
471
478
360
360
360
474
474
474
360
360
Room CO2 concentration: Sauna (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Treatment_Rm7 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Residents_Club (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Meeting_Rm3 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Busines_Center (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Womens_Locker (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
Room CO2 concentration: Salon (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Pantry (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Meeting_Rm1 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Meeting_Rm2 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Members_Club (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Treatment_Rm3 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Corridor (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Treatment_Rm1 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Movement_MeditGym (b[000]_laguna01092014 CO2 concentration (ppm)
360
Room CO2 concentration: Handicapped_Toilet (b[000]_laguna01092014
CO2 concentration (ppm)
360
Room CO2 concentration: Resident's Lift Lobby (b[000]_laguna01092014. CO2 concentration (ppm)
360
Room CO2 concentration: Rain_Body_Shower (b[000]_laguna01092014.
CO2 concentration (ppm)
360
Room CO2 concentration: Private_Dining (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Male_Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Female_Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Indian_Kitchen_Tandoori (b[000]_laguna010
CO2 concentration (ppm)
360
Room CO2 concentration: Deboxing_Cleaning (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
Room CO2 concentration: Purchasing_Receiving_Off (b[000]_laguna01
CO2 concentration (ppm)
360
Room CO2 concentration: Service_Lobby (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Private_Dining2 (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Electrical_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Garbage_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Housekeeping_Deptt (b[000]_laguna01092014.
CO2 concentration (ppm)
360
Room CO2 concentration: Airlock (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Front_Office_Mgr (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
Room CO2 concentration: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Apartment_Lobby (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
Room CO2 concentration: Guest_Relation (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Female_Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Male_Toilet (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Handicapped_Toilet (b[000]_laguna01092014.aps CO2 concentration (ppm)
360
Room CO2 concentration: Isolation_Rm (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: PostBoxes (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Corridor (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Coffee_Counters (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Coffee_Shop (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
360
Room CO2 concentration: Garbage_Rm_Dry (b[000]_laguna01092014.aps) CO2 concentration (ppm)
360
Room CO2 concentration: Sushi+Plancca grill (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Pizza (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
Room CO2 concentration: Rotisseri (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
P a g e | 182
16:30,22/Jan
360
05:30,01/Feb
687
05:30,31/May
734
02:30,22/Jan
360
15:30,09/Jul
360
02:30,07/Mar
684
05:30,05/Sep
745
06:30,21/Jun
740
00:30,23/Jun
360
00:30,01/Jan
360
04:30,11/Jan
684
05:30,04/Jan
684
05:30,28/Jun
726
06:30,12/Dec
684
12:30,02/Feb
360
06:30,22/Nov
684
04:30,07/Feb
738
02:30,20/Apr
360
00:30,01/Jan
360
02:30,18/Jan
360
08:30,13/Feb
732
02:30,02/Jan
360
13:30,24/Nov
360
11:30,02/Jan
360
05:30,25/Jan
747
05:30,18/Jan
759
04:30,28/May
360
07:30,14/Feb
731
18:30,31/May
360
13:30,02/Jan
360
00:30,05/Jan
360
05:30,15/Mar
736
10:30,01/Jan
360
05:30,28/Jun
740
05:30,02/Aug
745
05:30,28/Jun
704
03:30,11/Jan
754
13:30,12/Jan
360
13:30,04/Jan
360
18:30,26/Mar
360
03:30,25/Oct
760
03:30,28/Nov
764
00:30,01/Jan
360
12:30,12/Jan
360
07:30,08/May
733
02:30,01/Jan
360
360
13:30,12/Jan
360
17:30,05/Jan
360
19:30,03/Apr
15:30,17/Jan
360
16:30,25/Jan
474
16:30,25/Jan
475
11:30,02/Jan
360
21:30,13/Aug
360
16:30,28/Jun
459
16:30,25/Jan
478
16:30,17/Jul
491
11:30,21/Jan
360
08:30,18/Feb
360
16:30,14/Jul
459
16:30,07/Jul
459
16:30,22/Mar
473
16:30,02/Jul
473
10:30,02/May
360
16:30,24/Jun
473
16:30,28/Jun
502
02:30,01/Jan
360
13:30,01/Jan
360
04:30,27/Jan
360
19:30,17/Jul
488
23:30,19/Dec
360
23:30,24/Jul
360
16:30,07/Jan
360
16:30,19/Apr
479
16:30,22/Jan
482
04:30,04/Jun
360
19:30,26/Jun
488
11:30,10/Jan
360
00:30,01/Jan
360
18:30,06/Jan
360
16:30,19/Apr
476
07:30,11/May
360
16:30,25/Mar
478
16:30,25/Jan
479
16:30,25/Jan
469
16:30,08/Jun
481
02:30,18/Jan
360
05:30,01/Mar
360
02:30,27/Jan
360
16:30,19/Apr
482
16:30,28/Jun
483
00:30,01/Jan
360
07:30,03/Jan
360
19:30,17/Jul
488
09:30,01/Jan
360
360
01:30,01/Jan
360
06:30,02/Jan
360
17:30,30/Jan
360
360
360
Room CO2 concentration: Room Service Setup (b[000]_laguna01092014
Room CO2 concentration: Cold Pantry (b[000]_laguna01092014.aps)
Room CO2 concentration: Kitchen (b[000]_laguna01092014.aps)
Room CO2 concentration: Walkway (b[000]_laguna01092014.aps)
Room CO2 concentration: Combi_Kitchen (b[000]_laguna01092014.aps)
Room CO2 concentration: HouseKeeping (b[000]_laguna01092014.aps)
Room CO2 concentration: Service_Corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: WaitStation (b[000]_laguna01092014.aps)
Room CO2 concentration: Diniing Area (b[000]_laguna01092014.aps)
Room CO2 concentration: Room Service (b[000]_laguna01092014.aps)
Room CO2 concentration: Asian Cooking (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: MDF Room (b[000]_laguna01092014.aps)
Room CO2 concentration: Chief_Acctt (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: ETS Room (b[000]_laguna01092014.aps)
Room CO2 concentration: Scullery-1 (b[000]_laguna01092014.aps)
Room CO2 concentration: Dry_Storage (b[000]_laguna01092014.aps)
Room CO2 concentration: Gym (b[000]_laguna01092014.aps)
Room CO2 concentration: Steam_Rm (b[000]_laguna01092014.aps)
Room CO2 concentration: Reception (b[000]_laguna01092014.aps)
Room CO2 concentration: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
Room CO2 concentration: Dining area (b[000]_laguna01092014.aps)
Room CO2 concentration: Passage (b[000]_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet_Female (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet_Male (b[000]_laguna01092014.aps)
Room CO2 concentration: Safe_Rm (b[000]_laguna01092014.aps)
Room CO2 concentration: Handicap_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: North_South_Balcony (b[000]_laguna01092014.aps)
Room CO2 concentration: Male_Toilet_Locker Rm (b[000]_laguna01092014.aps)
Room CO2 concentration: Male_Toilet1 (b[000]_laguna01092014.aps)
Room CO2 concentration: Male_Toilet2 (b[000]_laguna01092014.aps)
Room CO2 concentration: Female_Toilet_Locker (b[000]_laguna01092014.aps)
Room CO2 concentration: Female_Toilet1 (b[000]_laguna01092014.aps)
Room CO2 concentration: Female_Toilet3 (b[000]_laguna01092014.aps)
Room CO2 concentration: Female_Toilet2 (b[000]_laguna01092014.aps)
Room CO2 concentration: Men's_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Men's_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Main corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Kitchen (b[000]_laguna01092014.aps)
Room CO2 concentration: Common_Passage (b[000]_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: Corridor (b[000]_laguna01092014.aps)
P a g e | 183
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
443
360
360
360
05:30,12/Jul
16:30,07/Jan
04:30,04/Jun
18:30,12/Nov
08:30,15/Jun
02:30,03/Jan
00:30,01/Jan
05:30,08/Nov
07:30,02/Jan
04:30,09/Aug
10:30,15/Jan
22:30,16/Jan
00:30,01/Jan
00:30,04/Jun
02:30,03/Jan
07:30,10/Jan
10:30,17/Jan
13:30,01/Jan
04:30,07/Jan
04:30,28/Feb
12:30,01/Jan
05:30,28/Jun
07:30,31/Jan
06:30,05/Jan
00:30,01/Jan
07:30,07/Jan
04:30,04/Jan
18:30,11/Jan
04:30,10/Oct
01:30,03/Jan
09:30,07/Mar
16:30,27/Jun
06:30,07/Jun
11:30,02/Jan
01:30,01/Jan
06:30,21/Jun
19:30,08/Jun
03:30,03/Jan
01:30,01/Jan
00:30,01/Jan
00:30,01/Jan
01:30,01/Jan
06:30,01/Jan
02:30,01/Jan
17:30,03/Jan
14:30,19/Apr
02:30,01/Jan
02:30,01/Jan
13:30,19/Feb
731
360
360
360
360
760
360
751
733
757
360
360
360
360
761
741
360
360
360
738
360
668
766
741
360
766
360
360
758
360
732
360
740
360
360
740
360
360
360
360
360
360
360
360
360
733
360
360
360
16:30,19/Apr
13:30,02/Jan
10:30,01/Jan
05:30,14/Dec
19:30,02/Jan
16:30,08/Jun
09:30,08/Dec
16:30,25/Mar
19:30,17/Jul
16:30,08/Jun
06:30,01/Jan
11:30,01/Jan
02:30,01/Jan
13:30,01/Jan
16:30,28/Jun
19:30,17/Jul
09:30,17/Sep
01:30,01/Jan
09:30,02/Jan
16:30,25/Jun
20:30,04/Jan
16:30,25/Jan
17:30,21/Jul
19:30,17/Jul
07:30,01/Jan
17:30,08/Jul
19:30,28/Jun
12:30,01/Jan
16:30,08/Jun
05:30,06/Apr
19:30,17/Jul
04:30,15/Jan
16:30,17/Jul
00:30,09/Jan
00:30,01/Jan
16:30,17/Jul
00:30,02/Jan
00:30,01/Jan
00:30,01/Jan
08:30,03/Jan
01:30,01/Jan
04:30,02/Jan
07:30,01/Jan
09:30,21/Mar
01:30,03/Feb
05:30,09/Jun
09:30,08/Dec
03:30,31/May
12:30,01/Jan
475
360
360
360
360
482
360
480
488
481
360
360
360
360
482
488
360
360
360
502
360
459
511
488
360
511
360
360
481
360
488
360
491
360
360
491
360
360
360
360
360
360
360
360
360
598
360
360
360
Room CO2 concentration: Elect Room (b[000]_laguna01092014.aps)
Room CO2 concentration: House Keep Room (b[000]_laguna01092014.aps)
Room CO2 concentration: IDF Room (b[000]_laguna01092014.aps)
Room CO2 concentration: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm01 (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm (b[000]_laguna01092014.aps)
Room CO2 concentration: Twin Room (b[000]_laguna01092014.aps)
Room CO2 concentration: Handi Rm02R (b[000]_laguna01092014.aps)
Room CO2 concentration: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm09 (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm08 (b[000]_laguna01092014.aps)
Room CO2 concentration: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm01 (b[000]_laguna01092014.aps)
Room CO2 concentration: Twin Room01 (b[000]_laguna01092014.aps)
Room CO2 concentration: Twin Room01R (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm02R (b[000]_laguna01092014.aps)
Room CO2 concentration: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm01R (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm02 (b[000]_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: Twin Room (b[000]_laguna01092014.aps)
P a g e | 184
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
360
441
443
441
441
442
441
441
443
442
442
441
440
441
441
441
441
440
441
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
442
03:30,01/Jan
02:30,18/Jan
00:30,01/Jan
14:30,07/Jul
14:30,19/Apr
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,07/Jul
14:30,28/Jun
14:30,28/Jun
14:30,01/Jan
00:30,01/Jan
08:30,01/Jan
17:30,01/Jan
04:30,01/Jan
15:30,02/Jun
10:30,01/Jan
03:30,05/Jan
17:30,31/Jan
07:30,01/Jan
10:30,14/Feb
06:30,04/Jan
00:30,22/Apr
00:30,01/Jan
06:30,01/Jan
18:30,05/Feb
01:30,01/Jan
02:30,01/Jan
08:30,10/Jan
18:30,06/Jan
17:30,01/Jan
11:30,02/Jan
07:30,11/Feb
22:30,03/Jan
04:30,23/Jan
08:30,01/Jan
17:30,09/Jan
14:30,07/Jul
360
758
360
716
731
717
721
724
721
713
728
724
726
714
719
722
723
722
716
717
724
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
721
08:30,01/Jan
16:30,14/Jul
12:30,01/Jan
05:30,17/Jul
05:30,15/Jul
05:30,17/Jul
05:30,14/Jul
05:30,14/Jul
05:30,15/Jul
05:30,14/Jul
05:30,14/Jul
05:30,17/Jul
05:30,14/Jul
05:30,14/Jul
05:30,17/Jul
05:30,17/Jul
05:30,09/Jul
05:30,17/Jul
05:30,17/Jul
05:30,14/Jul
05:30,14/Jul
02:30,01/Jan
16:30,01/Jan
00:30,01/Jan
02:30,01/Jan
08:30,03/Jan
00:30,22/Jul
00:30,26/Feb
00:30,01/Jan
11:30,01/Jan
00:30,01/Jan
00:30,08/Jan
00:30,01/Jan
01:30,11/Jan
01:30,01/Jan
20:30,28/Oct
08:30,01/Jan
03:30,01/Jan
00:30,01/Jan
11:30,07/Jan
01:30,01/Jan
17:30,25/Feb
00:30,01/Jan
03:30,03/Jan
00:30,01/Jan
08:30,21/Jan
00:30,01/Jan
21:30,05/Jan
05:30,17/Jul
360
481
360
588
598
588
591
592
590
585
594
592
593
586
589
591
592
591
587
588
592
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
590
Room CO2 concentration: Twin Room (b[000]_laguna01092014.aps)
Room CO2 concentration: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Lounge (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toil (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Kitchen (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laundry (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toi (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry (b[000]_laguna01092014.aps)
P a g e | 185
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
442
442
441
360
360
360
360
360
360
442
360
360
440
441
360
360
360
360
360
360
440
440
441
360
360
440
442
360
360
360
360
360
360
360
441
360
444
444
442
360
360
442
360
360
441
441
443
360
360
14:30,07/Jul
14:30,28/Jun
14:30,08/Jul
01:30,03/Jan
00:30,01/Jan
15:30,19/Feb
17:30,01/Jan
05:30,03/Jan
08:30,06/Jan
14:30,28/Jun
22:30,10/Jan
14:30,01/Jan
14:30,28/Jun
14:30,28/Jun
23:30,11/Mar
17:30,07/Jan
06:30,16/Jan
08:30,11/Jan
11:30,02/Jan
04:30,06/Feb
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
13:30,07/Mar
00:30,01/Jan
14:30,28/Jun
14:30,28/Jun
11:30,07/Jan
12:30,13/Jan
17:30,24/Feb
01:30,01/Jan
00:30,01/Jan
06:30,25/Jun
06:30,05/Jan
14:30,28/Jun
21:30,04/Feb
14:30,25/Jan
14:30,28/Jun
14:30,07/Jul
00:30,01/Jan
13:30,20/Sep
14:30,13/Jul
12:30,02/Jan
05:30,01/Jan
14:30,07/Jul
14:30,08/Jul
14:30,26/Mar
15:30,01/Nov
09:30,04/Jan
720
728
722
360
360
360
360
360
360
729
360
360
697
720
360
360
360
360
360
360
708
709
722
360
360
693
724
360
360
360
360
360
360
360
720
360
708
666
721
360
360
729
360
360
711
721
702
360
360
05:30,17/Jul
05:30,16/Jul
05:30,17/Jul
00:30,24/Nov
20:30,01/Jan
07:30,01/Jan
18:30,01/Jan
00:30,01/Jan
14:30,26/Mar
05:30,09/Jul
07:30,01/Jan
17:30,03/Jan
05:30,17/Jul
05:30,14/Jul
04:30,10/Jun
03:30,01/Jan
23:30,18/Mar
17:30,15/Mar
00:30,01/Jan
08:30,07/Feb
05:30,17/Jul
05:30,17/Jul
05:30,17/Jul
01:30,01/Jan
11:30,03/Jan
05:30,17/Jul
05:30,14/Jul
20:30,12/Apr
03:30,03/Jan
19:30,01/Jan
07:30,01/Jan
01:30,01/Jan
00:30,01/Jan
08:30,16/Jan
05:30,17/Jul
15:30,07/Nov
05:30,17/Jul
05:30,09/Jun
05:30,17/Jul
05:30,02/Jan
19:30,06/Jan
05:30,14/Jul
03:30,01/Jan
06:30,01/Jan
05:30,17/Jul
05:30,17/Jul
05:30,17/Jul
03:30,02/Jan
22:30,27/Jan
590
595
591
360
360
360
360
360
360
595
360
360
576
590
360
360
360
360
360
360
582
583
591
360
360
573
592
360
360
360
360
360
360
360
590
360
584
559
591
360
360
596
360
360
584
591
579
360
360
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: TelRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: ElectricalRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm05 (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm05R (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm07 (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm06 (b[000]_laguna01092014.aps)
Room CO2 concentration: Handi Rm02 (b[000]_laguna01092014.aps)
Room CO2 concentration: King Rm01R (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Lounge (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toil (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_Kitchen (b[000]_laguna01092014.aps)
P a g e | 186
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
360
360
439
442
360
442
360
360
360
360
360
440
441
441
441
441
441
441
441
360
360
360
360
360
360
442
360
360
441
441
360
360
360
360
360
360
441
441
441
360
360
441
442
360
360
360
360
10:30,03/Jan
07:30,01/Jan
16:30,01/Jan
05:30,13/Aug
14:30,28/Jun
14:30,14/Jul
16:30,01/Jan
14:30,08/Jun
07:30,02/Jan
02:30,01/Jan
14:30,04/Jan
00:30,01/Jan
02:30,25/Mar
14:30,28/Jun
14:30,07/Jul
14:30,07/Jul
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,07/Jul
08:30,01/Jan
20:30,01/Jan
13:30,01/Feb
04:30,01/Jan
17:30,05/Jan
01:30,09/Jan
14:30,28/Jun
03:30,21/Jan
02:30,01/Jan
14:30,28/Jun
14:30,28/Jun
07:30,02/Jan
10:30,17/Feb
04:30,20/Jul
13:30,02/Jan
08:30,01/Jan
06:30,02/Jan
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
10:30,29/Jan
00:30,01/Jan
14:30,28/Jun
14:30,14/Jul
13:30,27/Nov
19:30,02/Jan
05:30,01/Jan
23:30,01/Jan
360
360
360
360
699
725
360
675
360
360
360
360
360
706
701
703
708
707
723
719
722
360
360
360
360
360
360
729
360
360
697
720
360
360
360
360
360
360
708
709
722
360
360
693
724
360
360
360
360
06:30,07/Jan
15:30,02/Jan
00:30,01/Jan
02:30,01/Mar
05:30,09/Jun
05:30,14/Jul
18:30,08/Feb
05:30,08/Jun
05:30,30/Apr
00:30,01/Jan
08:30,01/Jan
00:30,01/Jan
03:30,07/Jan
05:30,17/Jul
05:30,17/Jul
05:30,17/Jul
05:30,14/Jul
05:30,14/Jul
05:30,09/Jul
05:30,14/Jul
05:30,14/Jul
17:30,19/Jun
13:30,04/Jan
23:30,01/Jan
07:30,01/Jan
10:30,01/Jan
04:30,27/Feb
05:30,29/Jun
00:30,02/Jan
11:30,01/Jan
05:30,17/Jul
05:30,14/Jul
16:30,25/Jan
10:30,01/Jan
05:30,06/Jan
09:30,27/Feb
00:30,01/Jan
19:30,12/Mar
05:30,17/Jul
05:30,17/Jul
05:30,14/Jul
12:30,01/Jan
13:30,02/Jan
05:30,14/Jul
05:30,14/Jul
13:30,01/Jan
12:30,06/Jan
16:30,01/Jan
09:30,06/Sep
360
360
360
360
577
593
360
563
360
360
360
360
360
581
578
579
582
582
592
589
591
360
360
360
360
360
360
595
360
360
576
590
360
360
360
360
360
360
582
583
591
360
360
573
592
360
360
360
360
Room CO2 concentration: UnitB_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laundry (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toi (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: TelRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: ElectricalRoom (b[000]_laguna01092014.aps)
Room CO2 concentration: corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitA_L/D (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
360
441
360
444
445
442
360
360
442
360
360
442
441
443
360
360
360
360
360
360
440
442
360
443
360
360
360
360
360
440
443
442
16:30,01/Jan
20:30,06/Jun
05:30,10/Jan
14:30,28/Jun
00:30,18/Jan
14:30,25/Jan
14:30,28/Jun
14:30,26/Mar
08:30,03/Jan
00:30,03/May
14:30,08/Jul
11:30,14/Jan
07:30,01/Jan
14:30,26/Mar
14:30,08/Jul
14:30,19/Apr
03:30,25/Jul
02:30,12/Jan
19:30,01/Jan
04:30,01/Jan
17:30,01/Jan
13:30,13/Jan
14:30,28/Jun
14:30,14/Jul
18:30,01/Jan
14:30,24/May
01:30,16/Jan
02:30,01/Jan
14:30,04/Jan
00:30,01/Jan
00:30,22/Jul
14:30,28/Jun
14:30,19/Apr
14:30,07/Jul
360
360
360
720
360
708
666
721
360
360
729
360
360
711
721
701
360
360
360
360
360
360
699
725
360
675
360
360
360
360
360
706
687
687
12:30,06/Feb
02:30,01/Jan
09:30,11/Jan
05:30,17/Jul
13:30,15/Jan
05:30,17/Jul
05:30,09/Jun
05:30,17/Jul
08:30,05/Jan
19:30,03/Jan
05:30,17/Jul
02:30,01/Jan
15:30,01/Jan
05:30,17/Jul
05:30,14/Jul
05:30,17/Jul
03:30,02/Jan
05:30,01/Jan
08:30,24/Oct
09:30,03/Jan
16:30,01/Jan
00:30,01/Jan
05:30,08/Jun
05:30,14/Jul
15:30,29/Jul
05:30,20/Apr
02:30,09/Feb
00:30,01/Jan
08:30,01/Jan
00:30,01/Jan
04:30,11/Dec
05:30,17/Jul
05:30,17/Jul
05:30,17/Jul
Table F.2: Baseline case model; Constant Air Volume (CAV); Space Air Temperature
Var. Name
Air temperature: LV Room (b[000]_laguna01092014.aps)
Air temperature: Rest Service Area (b[000]_laguna01092014.aps)
Air temperature: Female Toilet (b[000]_laguna01092014.aps)
Air temperature: Male Toilet (b[000]_laguna01092014.aps)
Air temperature: Handicapped Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
P a g e | 187
Type
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Min. Val.
21.00
21.01
21.02
21.00
21.04
21.01
21.01
Min. Time
00:30,01/Jan
02:30,22/Jan
04:30,20/Nov
05:30,18/Jul
20:30,20/Jul
02:30,29/Nov
05:30,04/Apr
Max. Val. Max. Time
21.83
16:30,06/Aug
22.94
16:30,06/Aug
22.09
14:30,18/Nov
22.10
12:30,19/Jan
22.10
11:30,14/Jun
22.17
16:30,06/Aug
22.46
16:30,06/Aug
Mean
21.05
21.95
21.52
21.65
21.70
21.65
21.67
360
360
360
590
360
584
559
591
360
360
596
360
360
584
591
579
360
360
360
360
360
360
577
593
360
563
360
360
360
360
360
581
570
570
Air temperature: UPS Room (b[000]_laguna01092014.aps)
Air temperature: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
Air temperature: Director_Finance_Room (b[000]_laguna01092014.aps)
Air temperature: Revenue_Mgr (b[000]_laguna01092014.aps)
Air temperature: Finance_Deptt (b[000]_laguna01092014.aps)
Air temperature: Director_Sales_Mark (b[000]_laguna01092014.aps)
Air temperature: Reservations_Deptt (b[000]_laguna01092014.aps)
Air temperature: Airlock (b[000]_laguna01092014.aps)
Air temperature: Lift_Lobby (b[000]_laguna01092014.aps)
Air temperature: Lobby (b[000]_laguna01092014.aps)
Air temperature: Human_res_Deptt (b[000]_laguna01092014.aps)
Air temperature: Director_HR_Develop (b[000]_laguna01092014.aps)
Air temperature: GM_Execut_Assistant (b[000]_laguna01092014.aps)
Air temperature: GM (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Meeting_Rm4 (b[000]_laguna01092014.aps)
Air temperature: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
Air temperature: Rain_Body_Shower (b[000]_laguna01092014.aps)
Air temperature: Pump_Rm (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm2 (b[000]_laguna01092014.aps)
Air temperature: Swim_Pool_Pump_Rm (b[000]_laguna01092014.aps)
Air temperature: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
Air temperature: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Gym Store (b[000]_laguna01092014.aps)
Air temperature: Sauna (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm4 (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm5 (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm6 (b[000]_laguna01092014.aps)
Air temperature: Steam_Rm6 (b[000]_laguna01092014.aps)
Air temperature: Electrical_Rm (b[000]_laguna01092014.aps)
Air temperature: Mens_Locker_Rm6 (b[000]_laguna01092014.aps)
Air temperature: Sauna (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm7 (b[000]_laguna01092014.aps)
Air temperature: Residents_Club (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Meeting_Rm3 (b[000]_laguna01092014.aps)
Air temperature: Busines_Center (b[000]_laguna01092014.aps)
Air temperature: Womens_Locker (b[000]_laguna01092014.aps)
Air temperature: Salon (b[000]_laguna01092014.aps)
Air temperature: Pantry (b[000]_laguna01092014.aps)
Air temperature: Meeting_Rm1 (b[000]_laguna01092014.aps)
Air temperature: Meeting_Rm2 (b[000]_laguna01092014.aps)
Air temperature: Members_Club (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm3 (b[000]_laguna01092014.aps)
Air temperature: Corridor (b[000]_laguna01092014.aps)
Air temperature: Treatment_Rm1 (b[000]_laguna01092014.aps)
Air temperature: Movement_MeditGym (b[000]_laguna01092014.aps)
P a g e | 188
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
21.00
21.01
21.01
21.01
21.02
21.01
21.00
21.00
21.00
21.01
21.01
21.01
21.02
21.00
21.01
21.01
21.01
21.00
21.01
21.00
21.02
21.01
21.00
21.14
20.90
21.02
21.02
21.02
21.03
21.00
21.00
21.16
21.01
21.01
21.00
21.00
21.01
21.01
21.00
21.01
21.01
20.97
21.01
21.00
21.01
21.00
21.01
21.00
04:30,06/Oct
02:30,12/Nov
05:30,19/Sep
02:30,07/Nov
04:30,15/Feb
06:30,21/Feb
01:30,25/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
04:30,22/Dec
03:30,15/Nov
02:30,15/Apr
22:30,21/Feb
00:30,01/Jan
23:30,05/Sep
05:30,09/May
16:30,10/Aug
00:30,01/Jan
02:30,19/Sep
00:30,01/Jan
03:30,06/Mar
01:30,29/Apr
01:30,01/Jan
02:30,14/Jan
03:30,01/Feb
21:30,13/Aug
21:30,20/Apr
21:30,07/May
15:30,05/May
00:30,01/Jan
00:30,01/Jan
03:30,01/Feb
21:30,08/Oct
03:30,09/Apr
00:30,01/Jan
05:30,01/Jan
15:30,22/May
03:30,08/Nov
00:30,01/Jan
05:30,08/Apr
05:30,28/Feb
04:30,27/Jan
04:30,09/Aug
03:30,29/Mar
05:30,08/Oct
05:30,10/Jan
05:30,13/Oct
03:30,09/Jun
22.10
22.09
22.11
22.67
22.75
22.73
22.73
22.00
22.00
22.00
22.66
22.11
22.11
22.94
22.00
22.65
22.61
22.11
22.00
22.53
22.00
22.67
22.52
22.00
22.00
22.11
22.00
22.09
22.11
22.11
21.50
22.00
21.96
22.11
22.63
22.00
22.00
22.22
22.62
22.00
22.60
22.05
22.81
22.63
22.59
22.43
22.00
22.45
22.58
14:30,19/Mar
14:30,04/Jan
15:30,29/Apr
10:30,27/Oct
08:30,06/Aug
11:30,13/Dec
14:30,08/Jun
09:30,01/Jan
14:30,24/Mar
11:30,24/Mar
13:30,27/Aug
16:30,10/Dec
14:30,19/Feb
13:30,04/Nov
16:30,04/Feb
15:30,02/Jun
14:30,19/Aug
16:30,07/Oct
14:30,18/Jan
09:30,16/Jun
09:30,01/Jan
13:30,25/Nov
16:30,18/Aug
09:30,01/Jan
09:30,01/Jan
12:30,28/Jan
09:30,21/Jul
14:30,27/Mar
12:30,23/Aug
15:30,12/Apr
14:30,29/Jul
12:30,01/Jan
12:30,29/Jul
12:30,15/May
13:30,20/Jul
14:30,01/Jan
09:30,01/Jan
08:30,29/Jun
09:30,21/Jul
13:30,01/Jan
09:30,16/Jun
08:30,04/Mar
13:30,23/Dec
15:30,02/Jun
13:30,30/Jul
10:30,05/Aug
10:30,01/Jan
10:30,21/Jul
09:30,16/Jun
21.51
21.50
21.52
21.77
21.99
21.80
21.79
21.92
21.74
21.76
21.77
21.52
21.52
21.92
21.75
21.63
21.68
21.84
21.42
21.52
21.61
21.88
21.63
21.77
21.89
21.59
21.66
21.44
21.61
21.80
21.06
21.42
21.64
21.44
21.80
21.67
21.89
21.71
21.78
21.51
21.54
21.52
21.69
21.65
21.72
21.45
21.71
21.49
21.60
Air temperature: Handicapped_Toilet (b[000]_laguna01092014.aps)
Air temperature: Resident's Lift Lobby (b[000]_laguna01092014.aps)
Air temperature: Rain_Body_Shower (b[000]_laguna01092014.aps)
Air temperature: Private_Dining (b[000]_laguna01092014.aps)
Air temperature: Male_Toilet (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet (b[000]_laguna01092014.aps)
Air temperature: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Air temperature: Deboxing_Cleaning (b[000]_laguna01092014.aps)
Air temperature: Purchasing_Receiving_Off (b[000]_laguna01092014.aps)
Air temperature: Service_Lobby (b[000]_laguna01092014.aps)
Air temperature: Private_Dining2 (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Electrical_Rm (b[000]_laguna01092014.aps)
Air temperature: Garbage_Rm (b[000]_laguna01092014.aps)
Air temperature: Housekeeping_Deptt (b[000]_laguna01092014.aps)
Air temperature: Airlock (b[000]_laguna01092014.aps)
Air temperature: Front_Office_Mgr (b[000]_laguna01092014.aps)
Air temperature: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
Air temperature: Apartment_Lobby (b[000]_laguna01092014.aps)
Air temperature: Guest_Relation (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet (b[000]_laguna01092014.aps)
Air temperature: Male_Toilet (b[000]_laguna01092014.aps)
Air temperature: Handicapped_Toilet (b[000]_laguna01092014.aps)
Air temperature: Isolation_Rm (b[000]_laguna01092014.aps)
Air temperature: PostBoxes (b[000]_laguna01092014.aps)
Air temperature: Corridor (b[000]_laguna01092014.aps)
Air temperature: Coffee_Counters (b[000]_laguna01092014.aps)
Air temperature: Coffee_Shop (b[000]_laguna01092014.aps)
Air temperature: Garbage_Rm_Dry (b[000]_laguna01092014.aps)
Air temperature: Sushi+Plancca grill (b[000]_laguna01092014.aps)
Air temperature: Pizza (b[000]_laguna01092014.aps)
Air temperature: Rotisseri (b[000]_laguna01092014.aps)
Air temperature: Room Service Setup (b[000]_laguna01092014.aps)
Air temperature: Cold Pantry (b[000]_laguna01092014.aps)
Air temperature: Kitchen (b[000]_laguna01092014.aps)
Air temperature: Walkway (b[000]_laguna01092014.aps)
Air temperature: Combi_Kitchen (b[000]_laguna01092014.aps)
Air temperature: HouseKeeping (b[000]_laguna01092014.aps)
Air temperature: Service_Corridor (b[000]_laguna01092014.aps)
Air temperature: WaitStation (b[000]_laguna01092014.aps)
Air temperature: Diniing Area (b[000]_laguna01092014.aps)
Air temperature: Room Service (b[000]_laguna01092014.aps)
Air temperature: Asian Cooking (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: MDF Room (b[000]_laguna01092014.aps)
Air temperature: Chief_Acctt (b[000]_laguna01092014.aps)
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Air temperature: ETS Room (b[000]_laguna01092014.aps)
P a g e | 189
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
21.00
21.01
21.03
21.01
21.02
21.01
21.01
20.95
21.00
20.73
21.00
21.00
21.00
21.02
21.00
21.02
21.02
21.02
21.01
21.02
21.01
21.01
21.02
21.02
21.00
21.04
20.71
21.01
21.02
21.01
21.02
21.02
21.01
21.01
21.00
21.01
21.03
21.00
21.01
20.63
21.01
21.02
21.00
21.00
21.00
21.01
20.70
21.00
03:30,18/May
00:30,01/Jan
02:30,29/Dec
07:30,13/Aug
08:30,21/Nov
07:30,04/Apr
14:30,05/Dec
06:30,23/Mar
23:30,07/Mar
00:30,01/Jan
06:30,13/Jan
00:30,01/Jan
00:30,01/Jan
17:30,23/Nov
08:30,04/Apr
00:30,01/Jan
00:30,03/Dec
02:30,14/Mar
00:30,18/Dec
06:30,11/Feb
07:30,28/Mar
05:30,02/Apr
08:30,17/Oct
01:30,18/Nov
21:30,16/Nov
00:30,01/Jan
01:30,17/Nov
03:30,23/Jan
11:30,03/Nov
04:30,07/Nov
03:30,21/Feb
07:30,07/Mar
21:30,14/Dec
06:30,29/Mar
07:30,18/Apr
00:30,01/Jan
05:30,26/Apr
01:30,09/Apr
00:30,01/Jan
06:30,26/Nov
00:30,20/Jan
23:30,18/Feb
03:30,12/Nov
17:30,23/Oct
15:30,19/Jun
00:30,01/Jan
04:30,31/Aug
05:30,03/Jan
00:30,01/Jan
22.10
22.00
22.14
22.09
22.57
22.59
22.10
22.62
22.82
22.00
22.10
22.00
22.00
22.08
22.70
22.00
22.79
22.75
22.71
22.97
22.59
22.58
22.10
22.64
22.60
22.00
22.06
22.07
22.08
22.09
22.16
22.10
22.78
22.11
22.10
22.00
22.11
22.74
22.00
22.63
22.08
22.72
22.09
22.44
22.27
22.00
22.10
22.13
21.62
13:30,23/Mar
10:30,01/Jan
11:30,12/Nov
20:30,25/Nov
16:30,26/Aug
16:30,27/Aug
11:30,27/Feb
13:30,12/Jul
14:30,27/Aug
10:30,01/Jan
12:30,19/Oct
14:30,18/Jan
11:30,24/Mar
17:30,28/Apr
08:30,06/Aug
12:30,01/Jan
14:30,26/Jul
13:30,02/Jun
08:30,05/May
16:30,26/Aug
15:30,20/Jul
16:30,28/Jul
10:30,01/Mar
13:30,20/Jul
16:30,29/Jul
16:30,05/Feb
17:30,15/Mar
11:30,06/May
17:30,27/Nov
19:30,23/Mar
18:30,29/Jul
18:30,21/Jan
08:30,06/Aug
19:30,23/Jan
17:30,20/Jan
16:30,05/Feb
12:30,19/Dec
13:30,26/Aug
15:30,18/Jan
13:30,10/Aug
11:30,13/Apr
15:30,26/Aug
19:30,23/Mar
16:30,06/Aug
15:30,29/Jul
14:30,19/Jul
11:30,13/Dec
18:30,24/Jul
16:30,06/Aug
21.48
21.70
21.47
21.58
21.73
21.77
21.55
21.80
21.70
21.89
21.55
21.80
21.52
21.57
21.84
21.86
21.67
21.77
21.87
21.74
21.77
21.73
21.54
21.77
21.67
21.79
21.63
21.55
21.61
21.63
21.61
21.54
21.85
21.53
21.52
21.76
21.54
21.72
21.78
21.81
21.54
21.74
21.62
21.73
21.56
21.10
21.55
21.57
21.03
Air temperature: Scullery-1 (b[000]_laguna01092014.aps)
Air temperature: Dry_Storage (b[000]_laguna01092014.aps)
Air temperature: Gym (b[000]_laguna01092014.aps)
Air temperature: Steam_Rm (b[000]_laguna01092014.aps)
Air temperature: Reception (b[000]_laguna01092014.aps)
Air temperature: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
Air temperature: Dining area (b[000]_laguna01092014.aps)
Air temperature: Passage (b[000]_laguna01092014.aps)
Air temperature: Hotel_Lobby (b[000]_laguna01092014.aps)
Air temperature: Toilet_Female (b[000]_laguna01092014.aps)
Air temperature: Toilet_Male (b[000]_laguna01092014.aps)
Air temperature: Safe_Rm (b[000]_laguna01092014.aps)
Air temperature: Handicap_Toilet (b[000]_laguna01092014.aps)
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Air temperature: North_South_Balcony (b[000]_laguna01092014.aps)
Air temperature: Male_Toilet_Locker Rm (b[000]_laguna01092014.aps)
Air temperature: Male_Toilet1 (b[000]_laguna01092014.aps)
Air temperature: Male_Toilet2 (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet_Locker (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet1 (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet3 (b[000]_laguna01092014.aps)
Air temperature: Female_Toilet2 (b[000]_laguna01092014.aps)
Air temperature: Men's_Toilet (b[000]_laguna01092014.aps)
Air temperature: Men's_Toilet (b[000]_laguna01092014.aps)
Air temperature: Main corridor (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Kitchen (b[000]_laguna01092014.aps)
Air temperature: Common_Passage (b[000]_laguna01092014.aps)
Air temperature: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
Air temperature: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Air temperature: Corridor (b[000]_laguna01092014.aps)
Air temperature: Corridor (b[000]_laguna01092014.aps)
Air temperature: Elect Room (b[000]_laguna01092014.aps)
Air temperature: House Keep Room (b[000]_laguna01092014.aps)
Air temperature: IDF Room (b[000]_laguna01092014.aps)
Air temperature: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
Air temperature: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
Air temperature: King Rm01 (b[000]_laguna01092014.aps)
Air temperature: King Rm (b[000]_laguna01092014.aps)
Air temperature: Twin Room (b[000]_laguna01092014.aps)
Air temperature: Handi Rm02R (b[000]_laguna01092014.aps)
Air temperature: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
Air temperature: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
Air temperature: King Rm09 (b[000]_laguna01092014.aps)
Air temperature: King Rm08 (b[000]_laguna01092014.aps)
Air temperature: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
Air temperature: King Rm01 (b[000]_laguna01092014.aps)
Air temperature: Twin Room01 (b[000]_laguna01092014.aps)
Air temperature: Twin Room01R (b[000]_laguna01092014.aps)
P a g e | 190
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
21.00
21.03
21.00
21.01
21.02
20.87
21.00
21.04
21.04
21.02
21.02
21.01
20.79
21.00
21.00
20.95
20.95
21.00
20.81
20.85
20.80
21.02
21.02
21.00
21.00
21.01
21.00
21.02
21.01
21.00
21.00
21.00
21.01
21.00
21.05
21.02
21.04
21.05
21.04
21.03
21.08
21.01
21.02
21.01
21.07
21.02
21.02
21.02
05:30,21/Oct
02:30,01/Jan
16:30,30/May
15:30,25/Apr
03:30,01/Feb
21:30,01/Feb
03:30,11/Mar
00:30,01/Jan
03:30,25/Apr
04:30,17/Nov
11:30,28/Nov
04:30,08/Nov
21:30,03/Apr
09:30,16/Jan
00:30,01/Jan
00:30,01/Jan
03:30,01/Feb
03:30,01/Feb
00:30,01/Jan
04:30,15/Jan
03:30,15/Jan
04:30,15/Jan
20:30,14/Oct
17:30,26/Jul
00:30,01/Jan
14:30,16/Apr
04:30,19/Jul
00:30,01/Jan
04:30,25/Nov
02:30,05/Feb
02:30,01/Jan
04:30,01/Jan
00:30,01/Jan
05:30,25/Jul
00:30,01/Jan
04:30,27/Jan
06:30,27/Dec
04:30,28/Jan
05:30,23/Jan
05:30,23/Jan
05:30,23/Jan
04:30,27/Jan
04:30,25/Feb
03:30,24/Jan
04:30,17/Dec
04:30,28/Jan
03:30,10/Mar
04:30,23/Jan
03:30,25/Feb
22.10
22.00
22.58
22.11
22.79
22.09
22.31
22.00
22.51
22.56
22.56
22.91
22.08
22.43
22.00
22.00
22.10
22.11
22.00
22.11
22.11
22.11
22.11
22.11
22.00
22.72
22.61
22.00
22.72
22.11
22.00
22.00
21.52
22.90
21.37
22.62
22.78
22.66
22.69
22.68
22.65
22.62
22.73
22.67
22.68
22.61
22.55
22.55
22.56
10:30,20/Mar
16:30,01/Jan
10:30,28/Oct
16:30,09/Apr
08:30,06/Aug
10:30,27/Jan
12:30,12/Apr
14:30,23/Mar
16:30,10/Aug
16:30,06/Aug
16:30,06/Aug
16:30,26/Aug
12:30,24/Dec
11:30,01/Jun
10:30,01/Jan
13:30,01/Jan
16:30,28/Oct
16:30,26/Nov
13:30,01/Jan
22:30,13/Jun
14:30,29/Dec
03:30,06/Oct
15:30,08/Feb
13:30,02/Jul
10:30,01/Jan
14:30,27/Aug
13:30,26/Aug
14:30,22/Feb
09:30,21/Jul
14:30,04/Jan
11:30,01/Jan
13:30,01/Jan
10:30,29/Jul
16:30,29/Jul
15:30,29/Jul
09:30,20/Apr
09:30,25/Nov
11:30,27/Dec
11:30,05/Feb
11:30,15/Dec
11:30,01/Nov
15:30,02/Sep
13:30,02/Nov
16:30,25/Jul
16:30,25/Jul
16:30,12/Aug
12:30,13/Apr
12:30,27/Jul
13:30,13/Apr
21.54
21.85
21.66
21.51
21.93
21.60
21.52
21.74
21.60
21.68
21.63
21.72
21.61
21.52
21.85
21.50
21.54
21.54
21.55
21.62
21.58
21.58
21.70
21.78
21.81
21.67
21.68
21.79
21.63
21.47
21.60
21.59
21.05
21.88
21.02
21.65
21.73
21.79
21.77
21.76
21.76
21.64
21.78
21.57
21.56
21.62
21.79
21.79
21.79
Air temperature: King Rm02R (b[000]_laguna01092014.aps)
Air temperature: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Air temperature: King Rm01R (b[000]_laguna01092014.aps)
Air temperature: King Rm02 (b[000]_laguna01092014.aps)
Air temperature: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Toilet (b[000]_laguna01092014.aps)
Air temperature: Twin Room (b[000]_laguna01092014.aps)
Air temperature: Twin Room (b[000]_laguna01092014.aps)
Air temperature: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laund (b[000]_laguna01092014.aps)
Air temperature: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitF_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitE_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Kit (b[000]_laguna01092014.aps)
P a g e | 191
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.02
21.04
21.02
21.02
21.02
21.02
21.02
21.01
21.02
21.01
21.00
21.05
21.06
21.06
21.05
21.07
21.07
21.01
20.97
20.96
21.06
21.03
20.96
21.02
21.01
21.04
21.04
21.00
20.99
21.00
21.01
21.01
21.02
21.02
21.03
21.02
21.01
20.89
20.72
21.02
21.02
21.04
21.00
20.84
21.19
21.04
21.00
21.07
21.00
03:30,25/Feb
04:30,29/Jan
04:30,25/Feb
04:30,23/Jan
16:30,23/May
20:30,19/Jul
16:30,06/Aug
16:30,13/Aug
20:30,27/Aug
13:30,05/May
04:30,13/Dec
19:30,10/Dec
19:30,20/Jan
18:30,07/Dec
20:30,10/Feb
03:30,23/Jan
17:30,20/Sep
05:30,20/Jun
03:30,06/Mar
03:30,23/Jan
20:30,14/Oct
23:30,12/Apr
03:30,23/Jan
11:30,12/Apr
13:30,07/Nov
03:30,27/Dec
03:30,27/Dec
03:30,27/Dec
03:30,27/Dec
03:30,27/Dec
03:30,27/Dec
04:30,11/Dec
04:30,31/Jan
07:30,11/Dec
03:30,14/Jan
10:30,09/Aug
15:30,29/Mar
03:30,27/Dec
03:30,27/Dec
19:30,17/Oct
04:30,21/Apr
06:30,14/Feb
20:30,02/May
04:30,03/Feb
04:30,28/Jan
04:30,27/Jan
04:30,24/Jul
19:30,12/Aug
21:30,07/Nov
22.56
22.59
22.57
22.66
22.11
22.10
22.10
22.10
22.10
22.11
22.10
22.10
22.11
22.10
22.10
22.11
22.10
22.07
22.10
22.09
22.10
22.08
22.08
22.10
22.11
21.97
22.04
21.98
22.01
21.99
22.00
22.63
22.62
22.57
22.58
22.11
22.10
22.10
22.08
22.54
22.52
22.51
22.46
22.09
22.57
22.56
22.10
22.10
22.40
14:30,24/Jul
09:30,16/Jun
15:30,24/Jul
11:30,13/Nov
15:30,15/Sep
10:30,06/Apr
10:30,09/Jun
10:30,24/Jun
11:30,19/May
13:30,22/Jul
13:30,06/Mar
13:30,09/Sep
13:30,06/Sep
13:30,04/Jan
13:30,27/Nov
13:30,14/Sep
14:30,09/Sep
14:30,07/Mar
17:30,07/Jul
17:30,22/Feb
16:30,03/Nov
16:30,09/Nov
16:30,23/Jul
15:30,26/Mar
15:30,22/Dec
14:30,07/Jul
14:30,07/Jul
14:30,07/Jul
14:30,07/Jul
14:30,07/Jul
14:30,07/Jul
09:30,16/Jun
09:30,23/Jul
13:30,06/Aug
09:30,15/Aug
10:30,12/Jun
10:30,10/Mar
17:30,08/Dec
11:30,19/Apr
14:30,29/Jul
14:30,07/Jul
21:30,05/Aug
14:30,29/Jul
13:30,14/Jun
16:30,15/Jun
16:30,19/Jul
16:30,22/Apr
16:30,13/Oct
17:30,10/Aug
21.80
21.62
21.81
21.75
21.57
21.49
21.60
21.58
21.42
21.54
21.44
21.65
21.66
21.64
21.66
21.63
21.64
21.36
21.48
21.40
21.67
21.68
21.40
21.56
21.48
21.64
21.66
21.63
21.64
21.64
21.65
21.58
21.58
21.74
21.61
21.76
21.62
21.51
21.35
21.72
21.61
21.72
21.68
21.47
21.74
21.62
21.47
21.66
21.67
Air temperature: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitD1_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitE_Lounge (b[000]_laguna01092014.aps)
Air temperature: UnitE_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toil (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitF_Kitchen (b[000]_laguna01092014.aps)
Air temperature: UnitB_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laundry (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Air temperature: UnitF_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toi (b[000]_laguna01092014.aps)
Air temperature: UnitB_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitB_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Laundry (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitE_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitE_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: TelRoom (b[000]_laguna01092014.aps)
Air temperature: ElectricalRoom (b[000]_laguna01092014.aps)
Air temperature: corridor (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_L/D (b[000]_laguna01092014.aps)
Air temperature: King Rm05 (b[000]_laguna01092014.aps)
Air temperature: King Rm05R (b[000]_laguna01092014.aps)
Air temperature: King Rm07 (b[000]_laguna01092014.aps)
P a g e | 192
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.05
21.02
21.01
21.17
21.17
21.04
21.01
20.80
21.20
21.02
21.02
21.01
21.01
21.01
21.00
21.02
20.92
21.02
21.01
21.02
21.14
21.02
21.02
21.01
21.04
21.01
21.01
21.02
21.02
21.01
21.00
21.07
20.70
20.70
21.00
21.01
21.11
21.02
21.02
21.01
21.01
21.00
21.00
21.00
21.00
21.18
21.08
21.08
21.08
16:30,31/May
16:30,17/May
20:30,07/Nov
04:30,27/Jan
04:30,27/Jan
05:30,23/Jan
03:30,17/Jan
05:30,06/Mar
04:30,27/Jan
04:30,17/Feb
01:30,08/Mar
01:30,23/Feb
05:30,06/Mar
18:30,19/Dec
20:30,28/Mar
21:30,12/Apr
03:30,02/Feb
03:30,27/Jan
01:30,30/Dec
05:30,10/Jan
04:30,27/Jan
04:30,08/Feb
20:30,22/Feb
14:30,28/Jul
04:30,31/Jan
16:30,05/May
16:30,25/Aug
04:30,28/Jan
04:30,17/Feb
04:30,04/Mar
04:30,11/Aug
03:30,27/Dec
03:30,27/Dec
03:30,27/Dec
20:30,25/Apr
02:30,14/Oct
05:30,30/Jan
05:30,06/Mar
04:30,13/Oct
04:30,17/Feb
04:30,24/Mar
00:30,01/Jan
00:30,01/Jan
01:30,01/Jan
04:30,18/Jun
04:30,27/Jan
04:30,28/Jan
04:30,17/Feb
04:30,28/Jan
22.11
22.11
22.49
22.57
22.56
22.56
22.10
22.09
22.57
22.68
22.66
22.66
22.10
22.56
22.57
22.11
22.10
22.66
22.68
22.79
22.64
22.63
22.09
22.11
22.56
22.10
22.10
22.59
22.56
22.66
22.25
22.11
22.10
22.09
22.09
22.12
22.58
22.68
22.56
22.61
22.56
21.26
21.19
22.00
22.09
22.60
22.59
22.60
22.60
16:30,30/Sep
12:30,28/May
17:30,10/Aug
15:30,27/Aug
16:30,19/Jul
16:30,04/May
12:30,15/Jun
16:30,05/Jun
16:30,06/Aug
14:30,28/Feb
12:30,08/Feb
11:30,07/Oct
16:30,17/Aug
13:30,12/Nov
13:30,12/Nov
15:30,12/Aug
14:30,10/Dec
11:30,05/Feb
11:30,27/Dec
09:30,17/Nov
11:30,12/Dec
09:30,05/Aug
11:30,27/Dec
13:30,26/Apr
09:30,29/May
11:30,03/Dec
10:30,15/Apr
09:30,09/May
09:30,07/May
09:30,05/Aug
10:30,15/Jun
10:30,23/Apr
14:30,10/Aug
10:30,26/Feb
07:30,13/Oct
16:30,29/Jul
19:30,10/Aug
15:30,28/Jul
13:30,07/Jul
20:30,28/Jun
12:30,07/Jul
16:30,10/Aug
11:30,29/Jul
15:30,04/Feb
15:30,21/Apr
12:30,04/Nov
09:30,06/Aug
09:30,05/Aug
15:30,04/Sep
21.82
21.78
21.68
21.68
21.68
21.61
21.49
21.38
21.77
21.79
21.65
21.64
21.59
21.73
21.74
21.78
21.44
21.76
21.66
21.83
21.99
21.62
21.64
21.58
21.58
21.69
21.63
21.62
21.60
21.77
21.48
21.60
21.34
21.30
21.66
21.66
21.81
21.69
21.64
21.94
21.64
21.02
21.01
21.61
21.46
21.88
21.65
21.64
21.64
Air temperature: King Rm06 (b[000]_laguna01092014.aps)
Air temperature: Handi Rm02 (b[000]_laguna01092014.aps)
Air temperature: King Rm01R (b[000]_laguna01092014.aps)
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laund (b[000]_laguna01092014.aps)
Air temperature: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitF_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitE_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitD1_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitE_Lounge (b[000]_laguna01092014.aps)
Air temperature: UnitE_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toil (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitF_Kitchen (b[000]_laguna01092014.aps)
Air temperature: UnitB_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laundry (b[000]_laguna01092014.aps)
Air temperature: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Air temperature: UnitF_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toi (b[000]_laguna01092014.aps)
Air temperature: UnitB_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitB_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitA_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
P a g e | 193
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.08
21.01
21.05
21.02
21.01
21.01
21.01
20.88
21.02
21.01
21.01
21.01
20.94
21.14
21.02
21.00
21.00
21.02
21.00
21.08
21.04
21.05
21.08
21.03
21.01
20.88
21.14
21.02
21.01
21.02
20.98
21.01
21.01
21.00
21.01
21.03
21.00
21.03
21.11
21.01
21.01
21.01
21.01
20.80
20.88
21.02
21.05
21.03
21.01
04:30,28/Jan
04:30,25/Feb
04:30,23/Jan
04:30,17/Feb
15:30,21/Jul
21:30,14/Aug
10:30,29/Dec
04:30,15/Jan
18:30,21/Feb
21:30,07/Dec
05:30,03/Jan
18:30,21/Nov
03:30,23/Jan
04:30,27/Jan
05:30,30/Jan
06:30,17/Oct
05:30,31/Jul
21:30,31/Jan
12:30,20/Jul
03:30,23/Jan
00:30,19/Feb
04:30,27/Jan
04:30,27/Jan
04:30,11/Jan
04:30,22/Jul
03:30,23/Jan
04:30,27/Jan
04:30,30/Jan
06:30,28/Nov
04:30,09/Nov
03:30,23/Jan
04:30,27/Jul
04:30,11/Aug
11:30,05/Jul
15:30,10/Aug
05:30,23/Jan
01:30,07/Mar
03:30,24/Jan
04:30,27/Jan
04:30,24/Jan
20:30,01/Oct
15:30,04/Jan
04:30,12/Jan
02:30,23/Jan
03:30,23/Jan
05:30,23/Jan
04:30,17/Feb
05:30,07/Feb
04:30,30/Apr
22.61
22.56
22.67
22.59
22.11
22.10
22.11
22.10
22.10
22.53
22.52
22.09
22.11
22.58
22.57
22.05
22.07
22.11
22.10
22.03
22.10
22.58
22.55
22.55
22.10
22.11
22.58
22.70
22.66
22.66
22.11
22.10
22.09
22.11
22.11
22.65
22.67
22.79
22.63
22.63
22.10
22.11
22.57
22.29
22.34
22.62
22.58
22.66
22.10
15:30,04/Sep
14:30,24/Jul
10:30,26/Nov
09:30,23/Jul
10:30,24/Nov
11:30,15/Mar
14:30,07/Aug
16:30,20/Jul
12:30,17/Jan
13:30,07/Jul
20:30,23/Jul
09:30,04/Feb
11:30,24/Jun
15:30,28/Aug
15:30,05/Aug
16:30,09/Apr
16:30,12/Mar
11:30,01/Feb
11:30,04/Nov
16:30,06/Aug
12:30,21/May
15:30,21/Aug
15:30,02/Sep
15:30,11/Aug
14:30,21/Nov
12:30,27/Sep
16:30,12/Aug
12:30,01/Nov
12:30,20/Jan
11:30,11/Nov
15:30,16/Apr
12:30,21/Feb
14:30,26/Dec
14:30,19/Mar
14:30,15/Jul
11:30,10/Jan
10:30,24/Nov
09:30,27/Nov
11:30,23/Dec
09:30,21/Aug
12:30,25/Mar
12:30,14/Nov
09:30,06/May
10:30,06/May
10:30,06/May
09:30,16/Jun
09:30,02/Jun
09:30,01/Aug
10:30,28/Apr
21.64
21.78
21.76
21.65
21.70
21.45
21.65
21.60
21.70
21.57
21.68
21.69
21.65
21.76
21.65
21.48
21.46
21.50
21.73
21.70
21.51
21.71
21.70
21.64
21.51
21.59
21.80
21.81
21.68
21.64
21.65
21.47
21.47
21.69
21.84
21.79
21.68
21.85
22.02
21.65
21.48
21.62
21.58
21.55
21.58
21.65
21.64
21.80
21.49
Air temperature: UnitA_Laundry (b[000]_laguna01092014.aps)
Air temperature: UnitA_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitA_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitE_Kit (b[000]_laguna01092014.aps)
Air temperature: UnitF_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitE_BedRoom (b[000]_laguna01092014.aps)
Air temperature: UnitE_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitB_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitB_Toilet (b[000]_laguna01092014.aps)
Air temperature: TelRoom (b[000]_laguna01092014.aps)
Air temperature: ElectricalRoom (b[000]_laguna01092014.aps)
Air temperature: corridor (b[000]_laguna01092014.aps)
Air temperature: UnitD1_Toilet (b[000]_laguna01092014.aps)
Air temperature: UnitF_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitA_L/D (b[000]_laguna01092014.aps)
Air temperature: UnitA_L/D (b[000]_laguna01092014.aps)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
20.85
20.80
21.02
21.01
21.11
21.03
21.02
21.05
21.01
21.00
21.00
21.00
21.01
21.13
21.10
21.16
16:30,19/Jun
04:30,15/Jan
04:30,15/Jan
00:30,12/Apr
04:30,24/Jul
04:30,27/Jan
05:30,20/Mar
02:30,07/Apr
03:30,27/Jan
04:30,05/Nov
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
03:30,09/Nov
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
22.08
22.11
22.10
22.11
22.10
22.60
22.68
22.59
22.62
22.58
21.71
21.71
22.00
22.03
22.59
22.59
22.57
10:30,05/Apr
14:30,26/Jul
12:30,14/May
12:30,15/Mar
16:30,17/Nov
20:30,26/Jul
15:30,28/Jul
14:30,23/Jul
19:30,05/Aug
12:30,13/Apr
16:30,06/Aug
16:30,06/Aug
15:30,04/Feb
15:30,12/Apr
12:30,03/Nov
09:30,30/Aug
09:30,18/May
21.51
21.55
21.43
21.52
21.53
21.84
21.71
21.68
21.96
21.70
21.06
21.06
21.78
21.53
21.92
21.73
21.70
Table F3: Baseline case model; Constant Air Volume (CAV); Room Temperature Cooling Set Point
Var. Name
Cooling set point: LV Room (b[000]_laguna01092014.aps)
Cooling set point: Rest Service Area (b[000]_laguna01092014.aps)
Cooling set point: Female Toilet (b[000]_laguna01092014.aps)
Cooling set point: Male Toilet (b[000]_laguna01092014.aps)
Cooling set point: Handicapped Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: UPS Room (b[000]_laguna01092014.aps)
Cooling set point: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
Cooling set point: Director_Finance_Room (b[000]_laguna01092014.aps)
Cooling set point: Revenue_Mgr (b[000]_laguna01092014.aps)
Cooling set point: Finance_Deptt (b[000]_laguna01092014.aps)
Cooling set point: Director_Sales_Mark (b[000]_laguna01092014.aps)
Cooling set point: Reservations_Deptt (b[000]_laguna01092014.aps)
Cooling set point: Airlock (b[000]_laguna01092014.aps)
Cooling set point: Lift_Lobby (b[000]_laguna01092014.aps)
Cooling set point: Lobby (b[000]_laguna01092014.aps)
Cooling set point: Human_res_Deptt (b[000]_laguna01092014.aps)
Cooling set point: Director_HR_Develop (b[000]_laguna01092014.aps)
Cooling set point: GM_Execut_Assistant (b[000]_laguna01092014.aps)
Cooling set point: GM (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Meeting_Rm4 (b[000]_laguna01092014.aps)
Cooling set point: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
P a g e | 194
Type
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Min. Val.
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Min. Time
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Max. Val. Max. Time
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
Mean
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Rain_Body_Shower (b[000]_laguna01092014.aps)
Cooling set point: Pump_Rm (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm2 (b[000]_laguna01092014.aps)
Cooling set point: Swim_Pool_Pump_Rm (b[000]_laguna01092014.aps)
Cooling set point: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
Cooling set point: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Gym Store (b[000]_laguna01092014.aps)
Cooling set point: Sauna (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm4 (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm5 (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm6 (b[000]_laguna01092014.aps)
Cooling set point: Steam_Rm6 (b[000]_laguna01092014.aps)
Cooling set point: Electrical_Rm (b[000]_laguna01092014.aps)
Cooling set point: Mens_Locker_Rm6 (b[000]_laguna01092014.aps)
Cooling set point: Sauna (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm7 (b[000]_laguna01092014.aps)
Cooling set point: Residents_Club (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Meeting_Rm3 (b[000]_laguna01092014.aps)
Cooling set point: Busines_Center (b[000]_laguna01092014.aps)
Cooling set point: Womens_Locker (b[000]_laguna01092014.aps)
Cooling set point: Salon (b[000]_laguna01092014.aps)
Cooling set point: Pantry (b[000]_laguna01092014.aps)
Cooling set point: Meeting_Rm1 (b[000]_laguna01092014.aps)
Cooling set point: Meeting_Rm2 (b[000]_laguna01092014.aps)
Cooling set point: Members_Club (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm3 (b[000]_laguna01092014.aps)
Cooling set point: Corridor (b[000]_laguna01092014.aps)
Cooling set point: Treatment_Rm1 (b[000]_laguna01092014.aps)
Cooling set point: Movement_MeditGym (b[000]_laguna01092014.aps)
Cooling set point: Handicapped_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Resident's Lift Lobby (b[000]_laguna01092014.aps)
Cooling set point: Rain_Body_Shower (b[000]_laguna01092014.aps)
Cooling set point: Private_Dining (b[000]_laguna01092014.aps)
Cooling set point: Male_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Female_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Cooling set point: Deboxing_Cleaning (b[000]_laguna01092014.aps)
Cooling set point: Purchasing_Receiving_Off (b[000]_laguna01092014.aps)
Cooling set point: Service_Lobby (b[000]_laguna01092014.aps)
Cooling set point: Private_Dining2 (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Electrical_Rm (b[000]_laguna01092014.aps)
Cooling set point: Housekeeping_Deptt (b[000]_laguna01092014.aps)
Cooling set point: Airlock (b[000]_laguna01092014.aps)
Cooling set point: Front_Office_Mgr (b[000]_laguna01092014.aps)
Cooling set point: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
P a g e | 195
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Apartment_Lobby (b[000]_laguna01092014.aps)
Cooling set point: Guest_Relation (b[000]_laguna01092014.aps)
Cooling set point: Female_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Male_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Handicapped_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Isolation_Rm (b[000]_laguna01092014.aps)
Cooling set point: PostBoxes (b[000]_laguna01092014.aps)
Cooling set point: Corridor (b[000]_laguna01092014.aps)
Cooling set point: Coffee_Counters (b[000]_laguna01092014.aps)
Cooling set point: Coffee_Shop (b[000]_laguna01092014.aps)
Cooling set point: Sushi+Plancca grill (b[000]_laguna01092014.aps)
Cooling set point: Pizza (b[000]_laguna01092014.aps)
Cooling set point: Rotisseri (b[000]_laguna01092014.aps)
Cooling set point: Room Service Setup (b[000]_laguna01092014.aps)
Cooling set point: Cold Pantry (b[000]_laguna01092014.aps)
Cooling set point: Kitchen (b[000]_laguna01092014.aps)
Cooling set point: Walkway (b[000]_laguna01092014.aps)
Cooling set point: Combi_Kitchen (b[000]_laguna01092014.aps)
Cooling set point: HouseKeeping (b[000]_laguna01092014.aps)
Cooling set point: Service_Corridor (b[000]_laguna01092014.aps)
Cooling set point: WaitStation (b[000]_laguna01092014.aps)
Cooling set point: Diniing Area (b[000]_laguna01092014.aps)
Cooling set point: Room Service (b[000]_laguna01092014.aps)
Cooling set point: Asian Cooking (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: MDF Room (b[000]_laguna01092014.aps)
Cooling set point: Chief_Acctt (b[000]_laguna01092014.aps)
Cooling set point: Restaurant (b[000]_laguna01092014.aps)
Cooling set point: ETS Room (b[000]_laguna01092014.aps)
Cooling set point: Scullery-1 (b[000]_laguna01092014.aps)
Cooling set point: Dry_Storage (b[000]_laguna01092014.aps)
Cooling set point: Gym (b[000]_laguna01092014.aps)
Cooling set point: Steam_Rm (b[000]_laguna01092014.aps)
Cooling set point: Reception (b[000]_laguna01092014.aps)
Cooling set point: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
Cooling set point: Dining area (b[000]_laguna01092014.aps)
Cooling set point: Passage (b[000]_laguna01092014.aps)
Cooling set point: Hotel_Lobby (b[000]_laguna01092014.aps)
Cooling set point: Toilet_Female (b[000]_laguna01092014.aps)
Cooling set point: Toilet_Male (b[000]_laguna01092014.aps)
Cooling set point: Safe_Rm (b[000]_laguna01092014.aps)
Cooling set point: Handicap_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Restaurant (b[000]_laguna01092014.aps)
Cooling set point: North_South_Balcony (b[000]_laguna01092014.aps)
Cooling set point: Male_Toilet_Locker Rm (b[000]_laguna01092014.aps)
Cooling set point: Male_Toilet1 (b[000]_laguna01092014.aps)
Cooling set point: Male_Toilet2 (b[000]_laguna01092014.aps)
Cooling set point: Female_Toilet_Locker (b[000]_laguna01092014.aps)
P a g e | 196
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Female_Toilet1 (b[000]_laguna01092014.aps)
Cooling set point: Female_Toilet3 (b[000]_laguna01092014.aps)
Cooling set point: Female_Toilet2 (b[000]_laguna01092014.aps)
Cooling set point: Men's_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Men's_Toilet (b[000]_laguna01092014.aps)
Cooling set point: Main corridor (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Kitchen (b[000]_laguna01092014.aps)
Cooling set point: Common_Passage (b[000]_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Cooling set point: Corridor (b[000]_laguna01092014.aps)
Cooling set point: Corridor (b[000]_laguna01092014.aps)
Cooling set point: Elect Room (b[000]_laguna01092014.aps)
Cooling set point: House Keep Room (b[000]_laguna01092014.aps)
Cooling set point: IDF Room (b[000]_laguna01092014.aps)
Cooling set point: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
Cooling set point: King Rm01 (b[000]_laguna01092014.aps)
Cooling set point: King Rm (b[000]_laguna01092014.aps)
Cooling set point: Twin Room (b[000]_laguna01092014.aps)
Cooling set point: Handi Rm02R (b[000]_laguna01092014.aps)
Cooling set point: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
Cooling set point: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
Cooling set point: King Rm09 (b[000]_laguna01092014.aps)
Cooling set point: King Rm08 (b[000]_laguna01092014.aps)
Cooling set point: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
Cooling set point: King Rm01 (b[000]_laguna01092014.aps)
Cooling set point: Twin Room01 (b[000]_laguna01092014.aps)
Cooling set point: Twin Room01R (b[000]_laguna01092014.aps)
Cooling set point: King Rm02R (b[000]_laguna01092014.aps)
Cooling set point: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Cooling set point: King Rm01R (b[000]_laguna01092014.aps)
Cooling set point: King Rm02 (b[000]_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIAToilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
P a g e | 197
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Toilet (b[000]_laguna01092014.aps)
Cooling set point: Twin Room (b[000]_laguna01092014.aps)
Cooling set point: Twin Room (b[000]_laguna01092014.aps)
Cooling set point: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laund (b[000]_laguna01092014.aps)
Cooling set point: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitE_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Lounge (b[000]_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toil (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Kitchen (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laundry (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toi (b[000]_laguna01092014.aps)
P a g e | 198
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: UnitB_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Laundry (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: TelRoom (b[000]_laguna01092014.aps)
Cooling set point: ElectricalRoom (b[000]_laguna01092014.aps)
Cooling set point: corridor (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_L/D (b[000]_laguna01092014.aps)
Cooling set point: King Rm05 (b[000]_laguna01092014.aps)
Cooling set point: King Rm05R (b[000]_laguna01092014.aps)
Cooling set point: King Rm07 (b[000]_laguna01092014.aps)
Cooling set point: King Rm06 (b[000]_laguna01092014.aps)
Cooling set point: Handi Rm02 (b[000]_laguna01092014.aps)
Cooling set point: King Rm01R (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laund (b[000]_laguna01092014.aps)
Cooling set point: UnitB_LaundryToilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitE_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
P a g e | 199
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: UnitD1_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Lounge (b[000]_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toil (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitF_Kitchen (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laundry (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Laund_Toi (b[000]_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toi (b[000]_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Laundry (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Laundry_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitA_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Kit (b[000]_laguna01092014.aps)
Cooling set point: UnitF_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (b[000]_laguna01092014.aps)
Cooling set point: UnitE_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitB_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitB_Toilet (b[000]_laguna01092014.aps)
Cooling set point: TelRoom (b[000]_laguna01092014.aps)
Cooling set point: ElectricalRoom (b[000]_laguna01092014.aps)
Cooling set point: corridor (b[000]_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (b[000]_laguna01092014.aps)
Cooling set point: UnitF_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitA_L/D (b[000]_laguna01092014.aps)
Cooling set point: UnitA_L/D (b[000]_laguna01092014.aps)
P a g e | 200
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Table F4: Baseline case model; Constant Air Volume (CAV); People Dissatisfied Percentage (PPD)
Var. Name
People dissatisfied: Rest Service Area (b[000]_laguna01092014.aps)
People dissatisfied: UPS Room (b[000]_laguna01092014.aps)
People dissatisfied: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
People dissatisfied: Director_Finance_Room (b[000]_laguna01092014.aps)
People dissatisfied: Revenue_Mgr (b[000]_laguna01092014.aps)
People dissatisfied: Finance_Deptt (b[000]_laguna01092014.aps)
People dissatisfied: Director_Sales_Mark (b[000]_laguna01092014.aps)
People dissatisfied: Reservations_Deptt (b[000]_laguna01092014.aps)
People dissatisfied: Human_res_Deptt (b[000]_laguna01092014.aps)
People dissatisfied: Director_HR_Develop (b[000]_laguna01092014.aps)
People dissatisfied: GM_Execut_Assistant (b[000]_laguna01092014.aps)
People dissatisfied: GM (b[000]_laguna01092014.aps)
People dissatisfied: Meeting_Rm4 (b[000]_laguna01092014.aps)
People dissatisfied: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm2 (b[000]_laguna01092014.aps)
People dissatisfied: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
People dissatisfied: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm4 (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm5 (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm6 (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm7 (b[000]_laguna01092014.aps)
People dissatisfied: Residents_Club (b[000]_laguna01092014.aps)
People dissatisfied: Meeting_Rm3 (b[000]_laguna01092014.aps)
People dissatisfied: Busines_Center (b[000]_laguna01092014.aps)
People dissatisfied: Meeting_Rm1 (b[000]_laguna01092014.aps)
People dissatisfied: Meeting_Rm2 (b[000]_laguna01092014.aps)
People dissatisfied: Members_Club (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm3 (b[000]_laguna01092014.aps)
People dissatisfied: Treatment_Rm1 (b[000]_laguna01092014.aps)
People dissatisfied: Movement_MeditGym (b[000]_laguna01092014.aps)
People dissatisfied: Private_Dining (b[000]_laguna01092014.aps)
People dissatisfied: Deboxing_Cleaning (b[000]_laguna01092014.aps)
People dissatisfied: Purchasing_Receiving_Off (b[000]_laguna01092014.aps)
People dissatisfied: Private_Dining2 (b[000]_laguna01092014.aps)
People dissatisfied: Housekeeping_Deptt (b[000]_laguna01092014.aps)
People dissatisfied: Front_Office_Mgr (b[000]_laguna01092014.aps)
People dissatisfied: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
People dissatisfied: Apartment_Lobby (b[000]_laguna01092014.aps)
People dissatisfied: Guest_Relation (b[000]_laguna01092014.aps)
P a g e | 201
Type
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Min. Val.
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
Min. Time
23:30,16/Mar
18:30,19/Feb
00:30,02/Apr
12:30,09/Jan
17:30,02/Jan
22:30,02/Feb
06:30,11/Jul
01:30,25/Nov
16:30,27/Jan
08:30,04/Jan
22:30,21/Mar
03:30,15/Jan
08:30,19/Jan
19:30,25/Jan
08:30,31/Jan
09:30,14/Mar
18:30,02/Jan
16:30,16/Jan
17:30,03/Feb
19:30,21/Jan
23:30,01/Jan
09:30,17/Jan
22:30,11/Feb
02:30,20/Oct
07:30,17/Jan
06:30,18/May
16:30,06/Feb
01:30,11/Apr
13:30,06/Feb
18:30,10/Feb
03:30,19/Mar
16:30,02/Jan
02:30,13/Mar
19:30,24/Jan
19:30,25/Dec
09:30,21/Jan
21:30,02/Apr
00:30,20/Feb
20:30,05/Feb
Max. Val. Max. Time
6.90
16:30,21/Jul
5.72
05:30,21/Jan
5.80
01:30,10/Feb
5.74
05:30,21/Jan
7.78
13:30,11/Nov
6.42
08:30,12/Aug
11.18
13:30,12/Nov
8.75
15:30,11/Aug
6.40
13:30,21/Jul
5.83
07:30,16/Jan
5.92
23:30,10/Feb
9.00
13:30,04/Nov
10.91
15:30,27/Aug
6.69
14:30,19/Aug
8.91
09:30,16/Jun
6.60
13:30,25/Nov
6.11
14:30,07/Sep
5.60
06:30,10/Dec
5.75
06:30,10/Dec
5.57
06:30,10/Dec
5.77
03:30,13/Apr
6.26
09:30,04/Aug
6.25
08:30,29/Jun
6.47
13:30,21/Jul
9.18
13:30,23/Dec
10.37
15:30,27/Aug
6.13
09:30,04/Aug
8.04
10:30,05/Aug
8.10
10:30,21/Jul
9.75
09:30,16/Jun
7.36
19:30,24/Jul
7.52
16:30,29/Jul
14.37
15:30,06/Aug
9.05
12:30,23/Dec
6.98
16:30,29/Jul
12.39
15:30,06/Aug
10.69
15:30,29/Jul
8.94
14:30,26/Aug
8.12
16:30,26/Aug
Mean
5.35
5.09
5.09
5.09
5.51
5.39
6.04
5.61
5.28
5.11
5.11
5.72
5.61
5.27
5.34
5.39
5.17
5.09
5.06
5.08
5.06
5.26
5.24
5.31
5.40
5.64
5.21
5.30
5.30
5.51
5.41
5.45
6.26
5.73
5.38
5.78
5.86
5.82
5.33
People dissatisfied: Isolation_Rm (b[000]_laguna01092014.aps)
People dissatisfied: Room Service Setup (b[000]_laguna01092014.aps)
People dissatisfied: HouseKeeping (b[000]_laguna01092014.aps)
People dissatisfied: WaitStation (b[000]_laguna01092014.aps)
People dissatisfied: Diniing Area (b[000]_laguna01092014.aps)
People dissatisfied: Room Service (b[000]_laguna01092014.aps)
People dissatisfied: Chief_Acctt (b[000]_laguna01092014.aps)
People dissatisfied: Restaurant (b[000]_laguna01092014.aps)
People dissatisfied: Gym (b[000]_laguna01092014.aps)
People dissatisfied: Reception (b[000]_laguna01092014.aps)
People dissatisfied: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
People dissatisfied: Dining area (b[000]_laguna01092014.aps)
People dissatisfied: Hotel_Lobby (b[000]_laguna01092014.aps)
People dissatisfied: Safe_Rm (b[000]_laguna01092014.aps)
People dissatisfied: Restaurant (b[000]_laguna01092014.aps)
People dissatisfied: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
People dissatisfied: House Keep Room (b[000]_laguna01092014.aps)
People dissatisfied: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
People dissatisfied: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
People dissatisfied: King Rm01 (b[000]_laguna01092014.aps)
People dissatisfied: King Rm (b[000]_laguna01092014.aps)
People dissatisfied: Twin Room (b[000]_laguna01092014.aps)
People dissatisfied: Handi Rm02R (b[000]_laguna01092014.aps)
People dissatisfied: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
People dissatisfied: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
People dissatisfied: King Rm09 (b[000]_laguna01092014.aps)
People dissatisfied: King Rm08 (b[000]_laguna01092014.aps)
People dissatisfied: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
People dissatisfied: King Rm01 (b[000]_laguna01092014.aps)
People dissatisfied: Twin Room01 (b[000]_laguna01092014.aps)
People dissatisfied: Twin Room01R (b[000]_laguna01092014.aps)
People dissatisfied: King Rm02R (b[000]_laguna01092014.aps)
People dissatisfied: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
People dissatisfied: King Rm01R (b[000]_laguna01092014.aps)
People dissatisfied: King Rm02 (b[000]_laguna01092014.aps)
People dissatisfied: Twin Room (b[000]_laguna01092014.aps)
People dissatisfied: Twin Room (b[000]_laguna01092014.aps)
People dissatisfied: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_Lounge (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (b[000]_laguna01092014.aps)
P a g e | 202
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
04:30,30/Oct
12:30,15/Jan
11:30,19/Jan
22:30,12/Mar
12:30,24/Jan
19:30,19/Mar
21:30,01/Jan
06:30,02/Mar
04:30,04/Feb
00:30,19/Mar
10:30,21/Jan
03:30,27/Feb
22:30,09/Jan
19:30,11/Jan
22:30,26/Jan
04:30,07/Apr
06:30,02/Dec
01:30,06/Mar
04:30,19/Jan
19:30,18/Jan
04:30,14/Mar
02:30,07/Jan
23:30,26/Jan
19:30,04/Jan
21:30,16/Jan
11:30,09/Jan
10:30,02/Jan
19:30,08/Mar
15:30,24/Jan
19:30,28/Jan
06:30,06/Jan
15:30,12/Feb
15:30,02/Jan
19:30,07/Feb
04:30,02/Feb
17:30,01/Feb
20:30,14/Feb
22:30,05/Jan
22:30,14/Feb
10:30,24/Jan
23:30,07/Feb
00:30,23/Jan
00:30,05/Feb
18:30,30/Jan
00:30,16/Jan
08:30,07/Jan
22:30,30/Jan
07:30,08/Jan
05:30,20/Feb
8.22
7.11
7.40
7.28
8.72
7.55
5.84
7.49
8.78
6.72
5.56
7.12
9.21
7.92
10.31
10.52
6.82
7.38
12.29
7.85
8.73
8.56
7.96
7.54
10.57
8.10
8.23
7.39
6.28
6.39
6.42
6.43
7.27
6.42
8.45
7.99
7.93
7.02
7.08
6.20
6.26
6.86
6.36
6.42
6.89
6.21
9.27
8.27
10.70
15:30,06/Aug
08:30,06/Aug
14:30,26/Aug
16:30,26/Aug
18:30,05/Aug
15:30,26/Aug
23:30,10/Feb
12:30,26/Aug
10:30,28/Oct
08:30,12/Aug
05:30,10/Feb
11:30,10/Sep
16:30,29/Jul
16:30,26/Aug
11:30,30/Jul
09:30,21/Jul
16:30,30/Jul
09:30,21/Aug
10:30,28/Oct
12:30,23/Dec
12:30,27/Nov
12:30,27/Nov
12:30,27/Nov
15:30,02/Sep
14:30,11/Nov
16:30,25/Jul
16:30,25/Jul
16:30,12/Aug
11:30,18/Jul
12:30,17/Jul
12:30,17/Jul
12:30,17/Jul
09:30,16/Jun
11:30,18/Jul
12:30,27/Nov
09:30,16/Jun
09:30,16/Jun
15:30,24/Jul
09:30,15/Aug
15:30,24/Jul
16:30,20/Jul
16:30,19/Jul
16:30,19/Jul
16:30,19/Jul
16:30,04/May
16:30,17/Aug
14:30,11/Nov
12:30,27/Nov
11:30,23/Dec
5.56
5.42
5.32
5.43
5.76
5.34
5.12
5.51
5.43
5.34
5.12
5.39
5.52
5.30
6.15
5.62
5.27
5.31
6.18
5.42
5.46
5.44
5.37
5.32
5.94
5.32
5.33
5.29
5.24
5.24
5.25
5.26
5.26
5.28
5.43
5.31
5.31
5.39
5.24
5.20
5.19
5.22
5.18
5.19
5.22
5.20
5.75
5.41
6.01
People dissatisfied: UnitB_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_L/D (b[000]_laguna01092014.aps)
People dissatisfied: King Rm05 (b[000]_laguna01092014.aps)
People dissatisfied: King Rm05R (b[000]_laguna01092014.aps)
People dissatisfied: King Rm07 (b[000]_laguna01092014.aps)
People dissatisfied: King Rm06 (b[000]_laguna01092014.aps)
People dissatisfied: Handi Rm02 (b[000]_laguna01092014.aps)
People dissatisfied: King Rm01R (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_Lounge (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (b[000]_laguna01092014.aps)
People dissatisfied: UnitB_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitF_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_L/D (b[000]_laguna01092014.aps)
People dissatisfied: UnitA_L/D (b[000]_laguna01092014.aps)
P a g e | 203
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
06:30,07/Jan
04:30,21/Nov
14:30,08/Jan
17:30,01/Feb
22:30,07/Feb
00:30,03/Jan
18:30,04/Jan
18:30,25/Jan
08:30,28/Jan
04:30,04/Dec
01:30,06/Mar
20:30,25/Feb
04:30,19/Mar
05:30,22/Feb
05:30,05/Jan
01:30,17/Mar
17:30,10/Jan
03:30,08/Jan
11:30,08/Jan
04:30,05/Dec
13:30,14/Feb
02:30,17/Mar
17:30,25/Jan
07:30,03/Jan
02:30,11/Mar
06:30,01/Feb
07:30,03/Feb
01:30,13/Jan
04:30,06/Feb
11:30,05/Jan
23:30,03/Mar
14:30,06/Jan
22:30,03/Jan
03:30,15/Jan
23:30,26/Jan
14:30,08/Feb
23:30,18/Jan
00:30,02/Jan
14:30,01/Feb
7.09
7.99
7.11
7.04
6.75
7.65
6.15
8.52
6.36
6.52
6.71
6.68
6.84
6.83
6.37
8.31
7.33
6.45
6.53
7.13
6.63
6.58
7.11
6.48
9.27
8.07
10.81
7.06
8.35
7.30
7.42
6.96
7.81
6.31
8.70
6.52
6.58
6.75
6.44
12:30,23/Dec
09:30,05/Aug
09:30,29/May
09:30,21/Jul
09:30,07/Sep
09:30,05/Aug
20:30,19/Jul
15:30,06/Aug
10:30,18/Jul
12:30,27/Nov
09:30,12/Aug
09:30,05/Aug
15:30,02/Sep
15:30,02/Sep
13:30,07/Jul
12:30,23/Dec
09:30,21/Jul
16:30,05/Aug
16:30,20/Jul
16:30,06/Aug
16:30,23/Jul
16:30,21/Jul
15:30,27/Aug
16:30,21/Jul
13:30,03/Nov
12:30,27/Nov
11:30,23/Dec
12:30,27/Nov
09:30,21/Jul
09:30,12/Aug
09:30,21/Jul
09:30,21/Jul
09:30,19/Jul
19:30,19/Jul
15:30,28/Jul
10:30,17/Jul
12:30,27/Nov
09:30,12/Aug
09:30,15/Aug
5.44
5.36
5.22
5.25
5.20
5.41
5.22
5.46
5.39
5.29
5.20
5.20
5.23
5.23
5.24
5.42
5.30
5.26
5.25
5.28
5.24
5.24
5.29
5.26
5.82
5.45
6.10
5.52
5.43
5.27
5.30
5.25
5.49
5.29
5.53
5.46
5.36
5.25
5.19
Table F5: Baseline case model; Constant Air Volume (CAV) ; Predicted Mean Vote (PMV)
Var. Name
Predicted mean vote: Rest Service Area (b[000]_laguna01092014.aps)
Predicted mean vote: UPS Room (b[000]_laguna01092014.aps)
Predicted mean vote: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
Predicted mean vote: Director_Finance_Room (b[000]_laguna01092014.aps)
Predicted mean vote: Revenue_Mgr (b[000]_laguna01092014.aps)
Predicted mean vote: Finance_Deptt (b[000]_laguna01092014.aps)
Predicted mean vote: Director_Sales_Mark (b[000]_laguna01092014.aps)
Predicted mean vote: Reservations_Deptt (b[000]_laguna01092014.aps)
Predicted mean vote: Human_res_Deptt (b[000]_laguna01092014.aps)
Predicted mean vote: Director_HR_Develop (b[000]_laguna01092014.aps)
Predicted mean vote: GM_Execut_Assistant (b[000]_laguna01092014.aps)
Predicted mean vote: GM (b[000]_laguna01092014.aps)
Predicted mean vote: Meeting_Rm4 (b[000]_laguna01092014.aps)
Predicted mean vote: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm2 (b[000]_laguna01092014.aps)
Predicted mean vote: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
Predicted mean vote: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm4 (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm5 (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm6 (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm7 (b[000]_laguna01092014.aps)
Predicted mean vote: Residents_Club (b[000]_laguna01092014.aps)
Predicted mean vote: Meeting_Rm3 (b[000]_laguna01092014.aps)
Predicted mean vote: Busines_Center (b[000]_laguna01092014.aps)
Predicted mean vote: Meeting_Rm1 (b[000]_laguna01092014.aps)
Predicted mean vote: Meeting_Rm2 (b[000]_laguna01092014.aps)
Predicted mean vote: Members_Club (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm3 (b[000]_laguna01092014.aps)
Predicted mean vote: Treatment_Rm1 (b[000]_laguna01092014.aps)
Predicted mean vote: Movement_MeditGym (b[000]_laguna01092014.aps)
Predicted mean vote: Private_Dining (b[000]_laguna01092014.aps)
Predicted mean vote: Deboxing_Cleaning (b[000]_laguna01092014.aps)
Predicted mean vote: Purchasing_Receiving_Off (b[000]_laguna01092014.aps)
Predicted mean vote: Private_Dining2 (b[000]_laguna01092014.aps)
Predicted mean vote: Housekeeping_Deptt (b[000]_laguna01092014.aps)
Predicted mean vote: Front_Office_Mgr (b[000]_laguna01092014.aps)
Predicted mean vote: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
Predicted mean vote: Apartment_Lobby (b[000]_laguna01092014.aps)
Predicted mean vote: Guest_Relation (b[000]_laguna01092014.aps)
Predicted mean vote: Isolation_Rm (b[000]_laguna01092014.aps)
Predicted mean vote: Room Service Setup (b[000]_laguna01092014.aps)
Predicted mean vote: HouseKeeping (b[000]_laguna01092014.aps)
Predicted mean vote: WaitStation (b[000]_laguna01092014.aps)
Predicted mean vote: Diniing Area (b[000]_laguna01092014.aps)
Predicted mean vote: Room Service (b[000]_laguna01092014.aps)
P a g e | 204
Type
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Min. Val.
-0.19
-0.19
-0.20
-0.19
-0.19
-0.21
-0.19
-0.22
-0.22
-0.20
-0.21
-0.21
-0.20
-0.23
-0.24
-0.21
-0.20
-0.17
-0.19
-0.17
-0.19
-0.21
-0.18
-0.20
-0.18
-0.21
-0.22
-0.24
-0.21
-0.20
-0.22
-0.22
-0.27
-0.22
-0.22
-0.20
-0.22
-0.28
-0.22
-0.25
-0.23
-0.22
-0.21
-0.27
-0.21
Min. Time
02:30,21/Jan
05:30,21/Jan
01:30,10/Feb
05:30,21/Jan
01:30,10/Feb
05:30,16/Jan
02:30,10/Feb
03:30,10/Dec
02:30,10/Dec
07:30,16/Jan
23:30,10/Feb
03:30,10/Dec
05:30,11/Dec
05:30,10/Dec
04:30,10/Dec
05:30,10/Dec
03:30,10/Feb
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
03:30,13/Apr
02:30,10/Feb
21:30,10/Feb
02:30,10/Feb
05:30,10/Dec
05:30,10/Dec
06:30,10/Feb
05:30,10/Dec
05:30,10/Dec
04:30,10/Dec
05:30,21/Jan
06:30,10/Dec
05:30,21/Jan
06:30,16/Jan
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
05:30,21/Jan
06:30,29/Jan
06:30,10/Feb
05:30,21/Jan
06:30,10/Dec
08:30,21/Jan
05:30,21/Jan
Max. Val. Max. Time
0.30
16:30,21/Jul
0.14
08:30,25/Oct
0.14
08:30,12/Aug
0.13
13:30,21/Jul
0.37
13:30,11/Nov
0.26
08:30,12/Aug
0.54
13:30,12/Nov
0.42
15:30,11/Aug
0.26
13:30,21/Jul
0.15
08:30,12/Aug
0.16
08:30,12/Aug
0.44
13:30,04/Nov
0.53
15:30,27/Aug
0.29
14:30,19/Aug
0.43
09:30,16/Jun
0.28
13:30,25/Nov
0.23
14:30,07/Sep
0.13
09:30,04/Aug
0.16
14:30,27/Mar
0.15
14:30,26/Mar
0.15
08:30,29/Apr
0.25
09:30,04/Aug
0.25
08:30,29/Jun
0.27
13:30,21/Jul
0.45
13:30,23/Dec
0.51
15:30,27/Aug
0.23
09:30,04/Aug
0.38
10:30,05/Aug
0.39
10:30,21/Jul
0.48
09:30,16/Jun
0.34
19:30,24/Jul
0.35
16:30,29/Jul
0.67
15:30,06/Aug
0.44
12:30,23/Dec
0.31
16:30,29/Jul
0.59
15:30,06/Aug
0.52
15:30,29/Jul
0.43
14:30,26/Aug
0.39
16:30,26/Aug
0.39
15:30,06/Aug
0.32
08:30,06/Aug
0.34
14:30,26/Aug
0.33
16:30,26/Aug
0.42
18:30,05/Aug
0.35
15:30,26/Aug
Mean
0.09
0.02
0.02
0.02
0.10
0.10
0.16
0.11
0.07
0.03
0.03
0.14
0.11
0.06
0.07
0.09
0.04
0.04
0.01
0.03
0.01
0.06
0.08
0.07
0.09
0.12
0.05
0.06
0.07
0.10
0.10
0.10
0.17
0.15
0.09
0.12
0.14
0.13
0.08
0.11
0.09
0.08
0.10
0.15
0.08
Predicted mean vote: Chief_Acctt (b[000]_laguna01092014.aps)
Predicted mean vote: Restaurant (b[000]_laguna01092014.aps)
Predicted mean vote: Gym (b[000]_laguna01092014.aps)
Predicted mean vote: Reception (b[000]_laguna01092014.aps)
Predicted mean vote: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
Predicted mean vote: Dining area (b[000]_laguna01092014.aps)
Predicted mean vote: Hotel_Lobby (b[000]_laguna01092014.aps)
Predicted mean vote: Safe_Rm (b[000]_laguna01092014.aps)
Predicted mean vote: Restaurant (b[000]_laguna01092014.aps)
Predicted mean vote: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
Predicted mean vote: House Keep Room (b[000]_laguna01092014.aps)
Predicted mean vote: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
Predicted mean vote: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm01 (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm (b[000]_laguna01092014.aps)
Predicted mean vote: Twin Room (b[000]_laguna01092014.aps)
Predicted mean vote: Handi Rm02R (b[000]_laguna01092014.aps)
Predicted mean vote: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
Predicted mean vote: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm09 (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm08 (b[000]_laguna01092014.aps)
Predicted mean vote: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm01 (b[000]_laguna01092014.aps)
Predicted mean vote: Twin Room01 (b[000]_laguna01092014.aps)
Predicted mean vote: Twin Room01R (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm02R (b[000]_laguna01092014.aps)
Predicted mean vote: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm01R (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm02 (b[000]_laguna01092014.aps)
Predicted mean vote: Twin Room (b[000]_laguna01092014.aps)
Predicted mean vote: Twin Room (b[000]_laguna01092014.aps)
Predicted mean vote: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_Lounge (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (b[000]_laguna01092014.aps)
P a g e | 205
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
-0.20
-0.23
-0.17
-0.20
-0.16
-0.20
-0.24
-0.22
-0.29
-0.19
-0.19
-0.16
-0.17
-0.16
-0.14
-0.14
-0.14
-0.17
-0.18
-0.18
-0.19
-0.17
-0.19
-0.18
-0.18
-0.17
-0.17
-0.18
-0.15
-0.19
-0.18
-0.19
-0.17
-0.17
-0.15
-0.16
-0.15
-0.15
-0.16
-0.15
-0.18
-0.15
-0.18
-0.14
-0.18
-0.18
-0.18
-0.17
-0.16
23:30,10/Feb
05:30,16/Jan
01:30,24/Feb
05:30,10/Dec
05:30,10/Feb
05:30,21/Jan
05:30,10/Dec
05:30,21/Jan
04:30,10/Dec
06:30,10/Feb
04:30,13/Apr
04:30,10/Dec
06:30,10/Feb
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,10/Dec
03:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,08/Dec
04:30,08/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
03:30,10/Dec
03:30,10/Dec
02:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
0.15
0.35
0.43
0.29
0.16
0.32
0.45
0.37
0.50
0.51
0.30
0.34
0.59
0.37
0.42
0.41
0.38
0.35
0.52
0.39
0.39
0.34
0.25
0.26
0.26
0.26
0.33
0.26
0.41
0.38
0.38
0.31
0.32
0.24
0.25
0.30
0.26
0.26
0.30
0.24
0.45
0.40
0.52
0.32
0.38
0.32
0.31
0.29
0.36
16:30,21/Jul
12:30,26/Aug
10:30,28/Oct
08:30,12/Aug
16:30,13/Aug
11:30,10/Sep
16:30,29/Jul
16:30,26/Aug
11:30,30/Jul
09:30,21/Jul
16:30,30/Jul
09:30,21/Aug
10:30,28/Oct
12:30,23/Dec
12:30,27/Nov
12:30,27/Nov
12:30,27/Nov
15:30,02/Sep
14:30,11/Nov
16:30,25/Jul
16:30,25/Jul
16:30,12/Aug
11:30,18/Jul
12:30,17/Jul
12:30,17/Jul
12:30,17/Jul
09:30,16/Jun
11:30,18/Jul
12:30,27/Nov
09:30,16/Jun
09:30,16/Jun
15:30,24/Jul
09:30,15/Aug
15:30,24/Jul
16:30,20/Jul
16:30,19/Jul
16:30,19/Jul
16:30,19/Jul
16:30,04/May
16:30,17/Aug
14:30,11/Nov
12:30,27/Nov
11:30,23/Dec
12:30,23/Dec
09:30,05/Aug
09:30,29/May
09:30,21/Jul
09:30,07/Sep
09:30,05/Aug
0.03
0.13
0.11
0.09
0.05
0.11
0.11
0.07
0.18
0.12
0.07
0.09
0.18
0.11
0.12
0.11
0.10
0.09
0.16
0.08
0.08
0.08
0.09
0.09
0.09
0.09
0.08
0.09
0.11
0.08
0.08
0.10
0.08
0.08
0.07
0.07
0.07
0.07
0.07
0.08
0.15
0.11
0.17
0.12
0.10
0.07
0.07
0.07
0.10
Predicted mean vote: UnitF_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm05 (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm05R (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm07 (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm06 (b[000]_laguna01092014.aps)
Predicted mean vote: Handi Rm02 (b[000]_laguna01092014.aps)
Predicted mean vote: King Rm01R (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_Lounge (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (b[000]_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_L/D (b[000]_laguna01092014.aps)
Predicted mean vote: UnitA_L/D (b[000]_laguna01092014.aps)
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
-0.16
-0.17
-0.18
-0.12
-0.17
-0.17
-0.17
-0.17
-0.18
-0.15
-0.18
-0.17
-0.16
-0.17
-0.16
-0.16
-0.17
-0.15
-0.19
-0.15
-0.18
-0.14
-0.19
-0.18
-0.18
-0.17
-0.16
-0.16
-0.16
-0.18
-0.13
-0.17
-0.16
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
02:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,08/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
0.24
0.41
0.26
0.27
0.29
0.28
0.30
0.30
0.26
0.40
0.33
0.26
0.27
0.32
0.28
0.28
0.32
0.27
0.45
0.38
0.53
0.31
0.40
0.33
0.34
0.31
0.37
0.25
0.42
0.27
0.28
0.29
0.26
20:30,19/Jul
15:30,06/Aug
10:30,18/Jul
12:30,27/Nov
09:30,12/Aug
09:30,05/Aug
15:30,02/Sep
15:30,02/Sep
13:30,07/Jul
12:30,23/Dec
09:30,21/Jul
16:30,05/Aug
16:30,20/Jul
16:30,06/Aug
16:30,23/Jul
16:30,21/Jul
15:30,27/Aug
16:30,21/Jul
13:30,03/Nov
12:30,27/Nov
11:30,23/Dec
12:30,27/Nov
09:30,21/Jul
09:30,12/Aug
09:30,21/Jul
09:30,21/Jul
09:30,19/Jul
19:30,19/Jul
15:30,28/Jul
10:30,17/Jul
12:30,27/Nov
09:30,12/Aug
09:30,15/Aug
0.08
0.11
0.10
0.10
0.07
0.07
0.07
0.07
0.09
0.11
0.09
0.08
0.08
0.09
0.08
0.08
0.09
0.09
0.16
0.12
0.18
0.13
0.11
0.08
0.08
0.08
0.12
0.09
0.12
0.11
0.11
0.08
0.07
Table F6: Baseline case model; Constant Air Volume (CAV); Comfort index (PMV)
Var. Name
Comfort index: Rest Service Area (b[000]_laguna01092014.aps)
Comfort index: UPS Room (b[000]_laguna01092014.aps)
Comfort index: CCTV_SecurityRoom (b[000]_laguna01092014.aps)
Comfort index: Director_Finance_Room (b[000]_laguna01092014.aps)
P a g e | 206
Type
Min. Val.
Comfort index
7
Comfort index
7
Comfort index
7
Comfort index
7
Min. Time
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Max. Val.
8
7
7
7
Max. Time
09:30,15/Mar
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Mean
7
7
7
7
Comfort index: Revenue_Mgr (b[000]_laguna01092014.aps)
Comfort index: Finance_Deptt (b[000]_laguna01092014.aps)
Comfort index: Director_Sales_Mark (b[000]_laguna01092014.aps)
Comfort index: Reservations_Deptt (b[000]_laguna01092014.aps)
Comfort index: Human_res_Deptt (b[000]_laguna01092014.aps)
Comfort index: Director_HR_Develop (b[000]_laguna01092014.aps)
Comfort index: GM_Execut_Assistant (b[000]_laguna01092014.aps)
Comfort index: GM (b[000]_laguna01092014.aps)
Comfort index: Meeting_Rm4 (b[000]_laguna01092014.aps)
Comfort index: Wellness_Center_Mgr (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm2 (b[000]_laguna01092014.aps)
Comfort index: Sales_Secretary_Mgr_Off (b[000]_laguna01092014.aps)
Comfort index: Secretary-Mngr_Off (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm4 (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm5 (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm6 (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm7 (b[000]_laguna01092014.aps)
Comfort index: Residents_Club (b[000]_laguna01092014.aps)
Comfort index: Meeting_Rm3 (b[000]_laguna01092014.aps)
Comfort index: Busines_Center (b[000]_laguna01092014.aps)
Comfort index: Meeting_Rm1 (b[000]_laguna01092014.aps)
Comfort index: Meeting_Rm2 (b[000]_laguna01092014.aps)
Comfort index: Members_Club (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm3 (b[000]_laguna01092014.aps)
Comfort index: Treatment_Rm1 (b[000]_laguna01092014.aps)
Comfort index: Movement_MeditGym (b[000]_laguna01092014.aps)
Comfort index: Private_Dining (b[000]_laguna01092014.aps)
Comfort index: Deboxing_Cleaning (b[000]_laguna01092014.aps)
Comfort index: Purchasing_Receiving_Off (b[000]_laguna01092014.aps)
Comfort index: Private_Dining2 (b[000]_laguna01092014.aps)
Comfort index: Housekeeping_Deptt (b[000]_laguna01092014.aps)
Comfort index: Front_Office_Mgr (b[000]_laguna01092014.aps)
Comfort index: Exec_Asstt_Mgr (b[000]_laguna01092014.aps)
Comfort index: Apartment_Lobby (b[000]_laguna01092014.aps)
Comfort index: Guest_Relation (b[000]_laguna01092014.aps)
Comfort index: Isolation_Rm (b[000]_laguna01092014.aps)
Comfort index: Room Service Setup (b[000]_laguna01092014.aps)
Comfort index: HouseKeeping (b[000]_laguna01092014.aps)
Comfort index: WaitStation (b[000]_laguna01092014.aps)
Comfort index: Diniing Area (b[000]_laguna01092014.aps)
Comfort index: Room Service (b[000]_laguna01092014.aps)
Comfort index: Chief_Acctt (b[000]_laguna01092014.aps)
Comfort index: Restaurant (b[000]_laguna01092014.aps)
Comfort index: Gym (b[000]_laguna01092014.aps)
Comfort index: Reception (b[000]_laguna01092014.aps)
Comfort index: Hotel Lift_Lobby (b[000]_laguna01092014.aps)
Comfort index: Dining area (b[000]_laguna01092014.aps)
Comfort index: Hotel_Lobby (b[000]_laguna01092014.aps)
Comfort index: Safe_Rm (b[000]_laguna01092014.aps)
P a g e | 207
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
7
6
7
6
6
7
6
6
7
6
6
6
6
7
7
7
7
6
7
6
7
6
6
6
6
6
6
6
6
6
6
7
6
6
6
6
6
6
6
6
6
6
6
7
7
7
6
6
6
00:30,01/Jan
05:30,16/Jan
00:30,01/Jan
06:30,05/Feb
23:30,10/Feb
00:30,01/Jan
23:30,10/Feb
03:30,10/Dec
00:30,01/Jan
05:30,21/Jan
02:30,10/Dec
04:30,10/Dec
03:30,10/Feb
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
02:30,10/Feb
00:30,01/Jan
02:30,10/Feb
00:30,01/Jan
04:30,10/Dec
04:30,10/Feb
06:30,16/Jan
04:30,10/Dec
04:30,10/Dec
05:30,16/Jan
07:30,16/Jan
01:30,21/Jan
06:30,13/Jan
07:30,16/Jan
00:30,01/Jan
05:30,21/Jan
06:30,10/Jan
06:30,16/Jan
05:30,16/Jan
07:30,16/Jan
06:30,16/Jan
07:30,16/Jan
05:30,16/Jan
07:30,16/Jan
23:30,10/Feb
05:30,16/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
05:30,21/Jan
05:30,16/Jan
06:30,16/Jan
8
8
9
8
8
7
7
8
9
8
8
8
8
7
7
7
7
8
8
8
8
9
8
8
8
8
8
8
9
8
8
9
9
8
8
8
8
8
8
8
8
7
8
8
8
7
8
8
8
10:30,01/Jan
16:30,02/Feb
14:30,15/Jan
14:30,01/Jan
15:30,13/Apr
00:30,01/Jan
00:30,01/Jan
10:30,01/Jan
15:30,22/Apr
13:30,24/Mar
09:30,01/Jan
10:30,01/Jan
15:30,05/May
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
11:30,15/Mar
13:30,24/Mar
11:30,11/Feb
09:30,01/Jan
15:30,29/Jul
16:30,24/Mar
09:30,01/Jan
10:30,11/Jan
10:30,01/Jan
18:30,24/Mar
14:30,24/Mar
15:30,12/Apr
10:30,01/Jan
14:30,24/Mar
16:30,12/Apr
16:30,01/Jun
15:30,19/Feb
15:30,24/Mar
13:30,24/Mar
14:30,24/Mar
15:30,12/Apr
15:30,24/Mar
12:30,01/Jan
16:30,24/Mar
00:30,01/Jan
12:30,11/Feb
09:30,01/Jan
16:30,13/Jan
00:30,01/Jan
12:30,01/Jan
15:30,15/Mar
15:30,24/Mar
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Comfort index: Restaurant (b[000]_laguna01092014.aps)
Comfort index: Suit 2 TypVIIA B Room (b[000]_laguna01092014.aps)
Comfort index: House Keep Room (b[000]_laguna01092014.aps)
Comfort index: S1-TypVIIA L/D (b[000]_laguna01092014.aps)
Comfort index: Suit 2 TypVIIA B Rm (b[000]_laguna01092014.aps)
Comfort index: King Rm01 (b[000]_laguna01092014.aps)
Comfort index: King Rm (b[000]_laguna01092014.aps)
Comfort index: Twin Room (b[000]_laguna01092014.aps)
Comfort index: Handi Rm02R (b[000]_laguna01092014.aps)
Comfort index: S4-TypVIIB L/D (b[000]_laguna01092014.aps)
Comfort index: S4-TypVIIA BRm (b[000]_laguna01092014.aps)
Comfort index: King Rm09 (b[000]_laguna01092014.aps)
Comfort index: King Rm08 (b[000]_laguna01092014.aps)
Comfort index: S3-TypVIIB L/D (b[000]_laguna01092014.aps)
Comfort index: King Rm01 (b[000]_laguna01092014.aps)
Comfort index: Twin Room01 (b[000]_laguna01092014.aps)
Comfort index: Twin Room01R (b[000]_laguna01092014.aps)
Comfort index: King Rm02R (b[000]_laguna01092014.aps)
Comfort index: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Comfort index: King Rm01R (b[000]_laguna01092014.aps)
Comfort index: King Rm02 (b[000]_laguna01092014.aps)
Comfort index: Twin Room (b[000]_laguna01092014.aps)
Comfort index: Twin Room (b[000]_laguna01092014.aps)
Comfort index: S3-TypVIIB BRm (b[000]_laguna01092014.aps)
Comfort index: UnitB_Bed Room (b[000]_laguna01092014.aps)
Comfort index: UnitF_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitE_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitD1_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitE_Lounge (b[000]_laguna01092014.aps)
Comfort index: UnitE_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitF_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitB_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_Bed Room (b[000]_laguna01092014.aps)
Comfort index: UnitF_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitE_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitF_L/D (b[000]_laguna01092014.aps)
Comfort index: King Rm05 (b[000]_laguna01092014.aps)
Comfort index: King Rm05R (b[000]_laguna01092014.aps)
Comfort index: King Rm07 (b[000]_laguna01092014.aps)
Comfort index: King Rm06 (b[000]_laguna01092014.aps)
P a g e | 208
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
04:30,11/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
9
9
8
8
9
8
8
8
8
8
9
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
9
8
8
8
8
8
8
8
8
8
8
8
8
8
8
11:30,30/Jul
09:30,21/Jul
16:30,19/Feb
10:30,10/Jan
10:30,01/Jan
10:30,01/Jan
09:30,01/Jan
10:30,01/Jan
10:30,01/Jan
15:30,01/Jan
14:30,01/Nov
15:30,13/Jan
15:30,13/Jan
16:30,15/Jan
13:30,25/Mar
12:30,25/Mar
12:30,25/Mar
12:30,25/Mar
09:30,25/Feb
12:30,25/Mar
10:30,01/Jan
09:30,04/Feb
09:30,04/Feb
14:30,24/Mar
09:30,12/Mar
12:30,07/Jul
16:30,23/Mar
16:30,12/Mar
16:30,15/Mar
16:30,15/Mar
16:30,20/Feb
16:30,15/Mar
10:30,01/Jan
10:30,01/Jan
11:30,10/Jan
10:30,01/Jan
09:30,01/Jan
09:30,04/Mar
09:30,06/Feb
09:30,12/Mar
10:30,14/Mar
19:30,04/May
15:30,20/Feb
14:30,24/Mar
11:30,01/Jan
09:30,25/Feb
09:30,25/Feb
16:30,03/Feb
16:30,03/Feb
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Comfort index: Handi Rm02 (b[000]_laguna01092014.aps)
Comfort index: King Rm01R (b[000]_laguna01092014.aps)
Comfort index: UnitB_Bed Room (b[000]_laguna01092014.aps)
Comfort index: UnitF_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitE_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitD1_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitE_Lounge (b[000]_laguna01092014.aps)
Comfort index: UnitE_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitF_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitB_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitA_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_Bed Room (b[000]_laguna01092014.aps)
Comfort index: UnitF_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitE_BedRoom (b[000]_laguna01092014.aps)
Comfort index: UnitB_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitF_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitA_L/D (b[000]_laguna01092014.aps)
Comfort index: UnitA_L/D (b[000]_laguna01092014.aps)
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
8
8
8
8
8
8
8
8
8
8
8
8
9
8
8
8
8
8
8
8
8
8
8
8
8
12:30,25/Mar
09:30,01/Jan
09:30,14/Mar
16:30,06/May
16:30,23/Mar
16:30,15/Mar
16:30,23/Mar
16:30,23/Mar
16:30,15/Mar
16:30,23/Mar
10:30,01/Jan
10:30,01/Jan
11:30,10/Oct
10:30,01/Jan
10:30,10/Jan
09:30,12/Mar
09:30,12/Mar
09:30,23/Mar
09:30,23/Mar
21:30,23/Apr
15:30,20/Feb
12:30,25/Mar
11:30,01/Jan
09:30,23/Mar
09:30,12/Mar
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Table F.7: Proposed case model; CO2 based DCV; Space CO2 concentration
Var. Name
Room CO2 concentration: LV Room (p_laguna01092014.aps)
Room CO2 concentration: Rest Service Area (p_laguna01092014.aps)
Room CO2 concentration: Female Toilet (p_laguna01092014.aps)
Room CO2 concentration: Male Toilet (p_laguna01092014.aps)
Room CO2 concentration: Handicapped Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: UPS Room (p_laguna01092014.aps)
Room CO2 concentration: CCTV_SecurityRoom (p_laguna01092014.aps)
Room CO2 concentration: Director_Finance_Room (p_laguna01092014.aps)
P a g e | 209
Type
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
Min. Val.
360
366
360
360
360
360
360
360
361
360
Min. Time
01:30,08/Jan
05:30,28/Jun
09:30,10/Jan
09:30,10/Jan
09:30,10/Jan
09:30,24/Jan
09:30,24/Jan
05:30,28/Jun
05:30,28/Jun
05:30,18/Jan
Max. Val. Max. Time
360
14:30,01/Jan
768
16:30,25/Jan
697
18:30,21/Sep
739
18:30,09/Oct
745
18:30,18/Sep
602
18:30,17/Jul
626
12:30,23/Jul
807
08:30,12/Mar
791
09:30,13/Aug
770
14:30,06/Apr
Mean
360
548
535
564
564
477
483
557
555
523
Room CO2 concentration: Revenue_Mgr (p_laguna01092014.aps)
Room CO2 concentration: Finance_Deptt (p_laguna01092014.aps)
Room CO2 concentration: Director_Sales_Mark (p_laguna01092014.aps)
Room CO2 concentration: Reservations_Deptt (p_laguna01092014.aps)
Room CO2 concentration: Airlock (p_laguna01092014.aps)
Room CO2 concentration: Lift_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Lobby (p_laguna01092014.aps)
Room CO2 concentration: Human_res_Deptt (p_laguna01092014.aps)
Room CO2 concentration: Director_HR_Develop (p_laguna01092014.aps)
Room CO2 concentration: GM_Execut_Assistant (p_laguna01092014.aps)
Room CO2 concentration: GM (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm4 (p_laguna01092014.aps)
Room CO2 concentration: Wellness_Center_Mgr (p_laguna01092014.aps)
Room CO2 concentration: Rain_Body_Shower (p_laguna01092014.aps)
Room CO2 concentration: Pump_Rm (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm2 (p_laguna01092014.aps)
Room CO2 concentration: Swim_Pool_Pump_Rm (p_laguna01092014.aps)
Room CO2 concentration: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
Room CO2 concentration: Secretary-Mngr_Off (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Gym Store (p_laguna01092014.aps)
Room CO2 concentration: Sauna (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm4 (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm5 (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm6 (p_laguna01092014.aps)
Room CO2 concentration: Steam_Rm6 (p_laguna01092014.aps)
Room CO2 concentration: Electrical_Rm (p_laguna01092014.aps)
Room CO2 concentration: Mens_Locker_Rm6 (p_laguna01092014.aps)
Room CO2 concentration: Sauna (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm7 (p_laguna01092014.aps)
Room CO2 concentration: Residents_Club (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm3 (p_laguna01092014.aps)
Room CO2 concentration: Busines_Center (p_laguna01092014.aps)
Room CO2 concentration: Womens_Locker (p_laguna01092014.aps)
Room CO2 concentration: Salon (p_laguna01092014.aps)
Room CO2 concentration: Pantry (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm1 (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm2 (p_laguna01092014.aps)
Room CO2 concentration: Members_Club (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm3 (p_laguna01092014.aps)
Room CO2 concentration: Corridor (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm1 (p_laguna01092014.aps)
Room CO2 concentration: Movement_MeditGym (p_laguna01092014.aps)
Room CO2 concentration: Handicapped_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Resident's Lift Lobby (p_laguna01092014.aps)
Room CO2 concentration: Rain_Body_Shower (p_laguna01092014.aps)
P a g e | 210
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
361
370
360
360
360
362
360
360
363
360
360
376
360
360
360
360
364
361
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
361
360
360
360
360
360
360
361
360
361
360
360
361
360
05:30,28/Jun
05:30,02/Aug
05:30,19/Jul
05:30,28/Jun
13:30,02/Jan
05:30,08/Feb
00:30,01/Jan
05:30,31/May
05:30,07/Jun
05:30,28/Jun
05:30,28/Jun
05:30,04/Oct
05:30,28/Jun
05:30,01/Apr
06:30,11/Jul
00:30,01/Jan
06:30,28/Jun
20:30,02/Jan
05:30,19/Jul
05:30,28/Jun
06:30,11/Jul
22:30,15/Jan
06:30,11/Jul
06:30,28/Jun
06:30,28/Jun
06:30,28/Jun
05:30,17/Jan
01:30,01/Jan
05:30,17/Jan
01:30,13/Jan
06:30,28/Jun
05:30,26/Jul
05:30,26/Jul
02:30,21/May
05:30,28/Jun
05:30,28/Jun
06:30,11/Jul
07:30,05/Mar
01:30,01/Jan
05:30,28/Jun
05:30,28/Jun
05:30,25/Jul
06:30,28/Jun
06:30,25/Jul
06:30,28/Jun
06:30,19/Dec
05:30,01/Mar
05:30,25/Jul
00:30,01/Jan
811
731
799
763
360
360
360
785
805
810
788
662
791
779
588
360
767
360
774
793
754
360
640
764
765
764
459
360
640
360
763
671
652
360
777
793
658
360
360
782
792
757
763
772
763
773
543
762
360
08:30,11/Jan
16:30,28/Jan
09:30,27/Oct
16:30,18/Feb
14:30,19/Aug
01:30,18/Dec
00:30,01/Jan
09:30,23/Mar
08:30,11/Jan
08:30,11/Jan
09:30,08/Mar
15:30,28/Jan
08:30,27/Sep
15:30,07/Apr
15:30,01/Feb
00:30,01/Jan
09:30,18/Jan
05:30,01/Jan
16:30,25/Jan
09:30,15/Jan
13:30,06/Dec
18:30,05/Feb
10:30,10/Jun
10:30,12/Jan
09:30,16/Jul
10:30,09/Jun
15:30,03/Aug
04:30,01/Jan
14:30,25/Jan
18:30,16/Jan
10:30,11/Jan
16:30,23/Nov
16:30,23/Nov
05:30,07/Apr
08:30,11/Jan
09:30,12/Mar
15:30,16/Nov
06:30,01/Jan
17:30,20/Jan
08:30,22/Jun
08:30,11/Jan
16:30,25/Jan
09:30,28/Jun
07:30,13/Dec
10:30,16/Jul
13:30,06/Dec
16:30,21/Jan
10:30,07/Sep
02:30,01/Jan
559
505
563
555
360
360
360
556
556
557
560
475
541
570
440
360
562
360
552
555
504
360
452
559
560
560
384
360
443
360
561
454
446
360
538
556
461
360
360
537
540
549
564
556
565
542
413
557
360
Room CO2 concentration: Private_Dining (p_laguna01092014.aps)
Room CO2 concentration: Male_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Room CO2 concentration: Deboxing_Cleaning (p_laguna01092014.aps)
Room CO2 concentration: Purchasing_Receiving_Off (p_laguna01092014.aps)
Room CO2 concentration: Service_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Private_Dining2 (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Electrical_Rm (p_laguna01092014.aps)
Room CO2 concentration: Garbage_Rm (p_laguna01092014.aps)
Room CO2 concentration: Housekeeping_Deptt (p_laguna01092014.aps)
Room CO2 concentration: Airlock (p_laguna01092014.aps)
Room CO2 concentration: Front_Office_Mgr (p_laguna01092014.aps)
Room CO2 concentration: Exec_Asstt_Mgr (p_laguna01092014.aps)
Room CO2 concentration: Apartment_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Guest_Relation (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Male_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Handicapped_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Isolation_Rm (p_laguna01092014.aps)
Room CO2 concentration: PostBoxes (p_laguna01092014.aps)
Room CO2 concentration: Corridor (p_laguna01092014.aps)
Room CO2 concentration: Coffee_Counters (p_laguna01092014.aps)
Room CO2 concentration: Coffee_Shop (p_laguna01092014.aps)
Room CO2 concentration: Garbage_Rm_Dry (p_laguna01092014.aps)
Room CO2 concentration: Sushi+Plancca grill (p_laguna01092014.aps)
Room CO2 concentration: Pizza (p_laguna01092014.aps)
Room CO2 concentration: Rotisseri (p_laguna01092014.aps)
Room CO2 concentration: Room Service Setup (p_laguna01092014.aps)
Room CO2 concentration: Cold Pantry (p_laguna01092014.aps)
Room CO2 concentration: Kitchen (p_laguna01092014.aps)
Room CO2 concentration: Walkway (p_laguna01092014.aps)
Room CO2 concentration: Combi_Kitchen (p_laguna01092014.aps)
Room CO2 concentration: HouseKeeping (p_laguna01092014.aps)
Room CO2 concentration: Service_Corridor (p_laguna01092014.aps)
Room CO2 concentration: WaitStation (p_laguna01092014.aps)
Room CO2 concentration: Diniing Area (p_laguna01092014.aps)
Room CO2 concentration: Room Service (p_laguna01092014.aps)
Room CO2 concentration: Asian Cooking (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: MDF Room (p_laguna01092014.aps)
Room CO2 concentration: Chief_Acctt (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: ETS Room (p_laguna01092014.aps)
Room CO2 concentration: Scullery-1 (p_laguna01092014.aps)
Room CO2 concentration: Dry_Storage (p_laguna01092014.aps)
Room CO2 concentration: Gym (p_laguna01092014.aps)
P a g e | 211
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
360
360
361
361
362
360
360
360
360
360
362
360
366
364
366
360
360
360
360
360
360
360
360
361
360
360
360
361
363
361
360
360
360
360
360
361
360
360
360
360
360
360
360
360
360
361
360
360
09:30,27/Jun
09:30,11/Jul
09:30,11/Jul
07:30,11/Jul
05:30,28/Jun
05:30,28/Jun
04:30,28/May
09:30,18/Jul
06:30,09/Jan
13:30,02/Jan
11:30,04/Jan
05:30,28/Jun
12:30,29/Dec
05:30,28/Jun
05:30,19/Jul
05:30,26/Jan
05:30,28/Jun
10:30,02/Jan
06:30,01/Jan
06:30,02/Jan
05:30,28/Jun
05:30,12/Jul
09:30,11/Jul
07:30,28/Feb
07:30,11/Jul
01:30,01/Jan
09:30,11/Jul
09:30,11/Jul
07:30,11/Jul
05:30,28/Jun
07:30,11/Jul
07:30,11/Jul
07:30,11/Jul
07:30,11/Jul
05:30,19/Jul
05:30,19/Jul
05:30,28/Jun
09:30,11/Jul
05:30,28/Jun
09:30,14/Feb
22:30,26/Jan
09:30,24/Jan
00:30,04/Jun
05:30,18/Jan
09:30,24/Jan
10:30,17/Jan
07:30,17/Jan
06:30,01/Feb
05:30,25/Jul
804
616
561
550
798
802
360
788
360
360
360
786
360
783
787
686
800
360
360
360
807
909
669
633
756
360
700
679
577
779
577
468
443
435
675
563
791
784
810
683
360
653
360
771
793
360
535
360
815
18:30,07/Aug
18:30,19/Nov
20:30,04/May
16:30,13/Aug
09:30,31/Dec
09:30,11/Jan
04:30,04/Jun
18:30,17/Jul
07:30,08/Jan
00:30,01/Jan
10:30,08/Jan
09:30,25/Jan
07:30,11/May
16:30,25/Mar
09:30,19/Apr
16:30,13/Aug
09:30,16/Mar
10:30,03/Jan
15:30,06/Jan
19:30,05/Mar
08:30,11/Jan
08:30,24/Mar
19:30,06/Mar
12:30,01/Jun
12:30,11/Jun
15:30,01/Jan
19:30,17/Jul
19:30,06/Nov
16:30,13/Aug
16:30,25/Jan
16:30,13/Aug
17:30,30/May
19:30,03/Jan
19:30,03/Jan
16:30,22/Jan
16:30,05/Aug
09:30,23/Mar
18:30,25/Dec
08:30,11/Jan
12:30,30/Dec
05:30,01/Jan
18:30,17/Jul
13:30,01/Jan
16:30,03/May
18:30,30/Jan
05:30,30/Oct
16:30,12/Apr
20:30,13/Dec
07:30,19/Apr
609
488
450
439
557
566
360
610
360
360
360
554
360
566
564
492
556
360
360
360
557
556
516
499
558
360
542
531
448
553
445
395
389
384
468
426
555
599
556
527
360
504
360
522
599
360
420
360
574
Room CO2 concentration: Steam_Rm (p_laguna01092014.aps)
Room CO2 concentration: Reception (p_laguna01092014.aps)
Room CO2 concentration: Hotel Lift_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Dining area (p_laguna01092014.aps)
Room CO2 concentration: Passage (p_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Toilet_Female (p_laguna01092014.aps)
Room CO2 concentration: Toilet_Male (p_laguna01092014.aps)
Room CO2 concentration: Safe_Rm (p_laguna01092014.aps)
Room CO2 concentration: Handicap_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: North_South_Balcony (p_laguna01092014.aps)
Room CO2 concentration: Male_Toilet_Locker Rm (p_laguna01092014.aps)
Room CO2 concentration: Male_Toilet1 (p_laguna01092014.aps)
Room CO2 concentration: Male_Toilet2 (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet_Locker (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet1 (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet3 (p_laguna01092014.aps)
Room CO2 concentration: Female_Toilet2 (p_laguna01092014.aps)
Room CO2 concentration: Men's_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Men's_Toilet (p_laguna01092014.aps)
Room CO2 concentration: Main corridor (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Kitchen (p_laguna01092014.aps)
Room CO2 concentration: Common_Passage (p_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Room CO2 concentration: Corridor (p_laguna01092014.aps)
Room CO2 concentration: Corridor (p_laguna01092014.aps)
Room CO2 concentration: Elect Room (p_laguna01092014.aps)
Room CO2 concentration: House Keep Room (p_laguna01092014.aps)
Room CO2 concentration: IDF Room (p_laguna01092014.aps)
Room CO2 concentration: S1-TypVIIA L/D (p_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
Room CO2 concentration: King Rm01 (p_laguna01092014.aps)
Room CO2 concentration: King Rm (p_laguna01092014.aps)
Room CO2 concentration: Twin Room (p_laguna01092014.aps)
Room CO2 concentration: Handi Rm02R (p_laguna01092014.aps)
Room CO2 concentration: S4-TypVIIB L/D (p_laguna01092014.aps)
Room CO2 concentration: S4-TypVIIA BRm (p_laguna01092014.aps)
Room CO2 concentration: King Rm09 (p_laguna01092014.aps)
Room CO2 concentration: King Rm08 (p_laguna01092014.aps)
Room CO2 concentration: S3-TypVIIB L/D (p_laguna01092014.aps)
Room CO2 concentration: King Rm01 (p_laguna01092014.aps)
Room CO2 concentration: Twin Room01 (p_laguna01092014.aps)
Room CO2 concentration: Twin Room01R (p_laguna01092014.aps)
Room CO2 concentration: King Rm02R (p_laguna01092014.aps)
Room CO2 concentration: S2-TypVIIA L/D (p_laguna01092014.aps)
Room CO2 concentration: King Rm01R (p_laguna01092014.aps)
P a g e | 212
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
360
376
371
360
360
361
360
360
360
360
360
374
360
360
360
360
360
360
360
360
360
361
360
360
360
448
402
360
360
360
360
360
452
447
450
450
450
446
453
453
455
455
454
449
450
449
449
449
449
06:30,11/Jul
06:30,28/Feb
07:30,28/Feb
09:30,10/Jan
00:30,01/Jan
07:30,11/Jul
06:30,09/Jan
01:30,14/Apr
05:30,28/Jun
09:30,11/Jul
09:30,11/Jul
07:30,07/Mar
07:30,03/Jan
07:30,03/Jan
07:30,03/Jan
05:30,12/Apr
05:30,12/Apr
05:30,12/Apr
05:30,12/Apr
05:30,17/Jan
05:30,17/Jan
07:30,11/Jul
04:30,01/Jan
09:30,31/Jan
09:30,24/Jan
14:30,13/Apr
13:30,12/Feb
00:30,26/Jul
00:30,14/Mar
03:30,01/Jan
05:30,28/Jun
00:30,01/Jan
14:30,07/Jul
14:30,25/Mar
14:30,13/Apr
14:30,06/Aug
14:30,10/Aug
14:30,26/Jul
14:30,04/May
14:30,09/Jun
14:30,30/Dec
14:30,13/Apr
14:30,26/Aug
14:30,29/Jul
14:30,10/Aug
14:30,13/Aug
14:30,06/Aug
14:30,13/Apr
14:30,13/Aug
609
747
780
793
360
757
360
360
816
591
777
745
582
453
463
548
481
496
487
534
501
612
360
604
696
739
619
360
360
360
808
360
738
752
741
746
744
738
752
757
751
756
742
739
744
746
740
708
741
15:30,26/Oct
16:30,25/Jan
11:30,10/Feb
18:30,06/Mar
07:30,01/Jan
12:30,30/Jul
05:30,02/May
01:30,25/Apr
08:30,23/Mar
19:30,22/Apr
19:30,13/Feb
16:30,25/Jan
15:30,28/Oct
16:30,30/Oct
15:30,05/Aug
16:30,23/Dec
16:30,23/Dec
15:30,28/Apr
16:30,22/Mar
15:30,08/Nov
15:30,23/Sep
16:30,13/Aug
09:30,10/Jan
18:30,05/Jun
18:30,23/Jan
00:30,17/Dec
23:30,05/Aug
05:30,03/Oct
06:30,08/Feb
08:30,01/Jan
08:30,23/Mar
12:30,01/Jan
05:30,23/Feb
01:30,18/Dec
00:30,30/Dec
05:30,14/Oct
05:30,23/Feb
05:30,23/Feb
01:30,04/Nov
04:30,11/Dec
02:30,06/Jan
04:30,06/Jan
04:30,19/Jan
05:30,23/Feb
04:30,19/Jan
01:30,20/Jan
05:30,23/Feb
22:30,05/Jan
05:30,23/Feb
449
554
575
605
360
556
360
360
554
470
585
554
418
390
390
412
395
395
394
417
409
463
360
485
531
601
533
360
360
360
554
360
602
596
602
602
603
596
616
607
619
618
609
603
605
605
606
602
603
Room CO2 concentration: King Rm02 (p_laguna01092014.aps)
Room CO2 concentration: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Toilet (p_laguna01092014.aps)
Room CO2 concentration: Twin Room (p_laguna01092014.aps)
Room CO2 concentration: Twin Room (p_laguna01092014.aps)
Room CO2 concentration: S3-TypVIIB BRm (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund (p_laguna01092014.aps)
Room CO2 concentration: UnitB_LaundryToilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitE_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (p_laguna01092014.aps)
P a g e | 213
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
450
411
397
389
382
391
398
419
400
396
407
404
406
402
407
386
400
394
380
393
380
409
382
386
395
385
393
387
450
451
449
451
379
393
364
362
375
366
656
366
369
402
452
416
367
373
370
370
376
14:30,26/Aug
09:30,18/Jan
13:30,13/Mar
12:30,18/Jan
12:30,15/Nov
15:30,12/Nov
16:30,21/Feb
14:30,30/Dec
15:30,22/Jan
15:30,22/Jan
15:30,30/Dec
14:30,30/Dec
12:30,26/Jan
15:30,22/Jan
14:30,05/Mar
16:30,04/Apr
13:30,07/Apr
12:30,06/Apr
13:30,08/Apr
13:30,01/Feb
12:30,14/Jul
15:30,30/Dec
14:30,27/Jan
14:30,27/Jan
14:30,26/Jan
14:30,27/Jan
12:30,28/Jan
13:30,14/Jan
14:30,29/Jul
14:30,30/Dec
14:30,08/Jun
14:30,07/Jul
14:30,28/Feb
12:30,27/Apr
15:30,11/Feb
13:30,30/Jan
15:30,12/Jan
13:30,29/Dec
14:30,21/Jan
13:30,22/Apr
12:30,07/Jan
14:30,21/Jul
14:30,19/Jul
15:30,02/Dec
12:30,28/Apr
12:30,09/Aug
13:30,08/Apr
14:30,21/Oct
14:30,04/May
746
612
610
611
612
609
610
617
615
612
615
613
612
621
603
605
602
607
607
607
605
617
615
623
616
616
617
615
756
745
756
736
569
614
446
413
523
497
777
483
495
601
750
608
519
572
548
551
563
05:30,12/Apr
23:30,12/Aug
04:30,24/Jul
00:30,13/Aug
01:30,24/Jul
04:30,05/Aug
23:30,05/Aug
04:30,28/Jan
01:30,07/Aug
01:30,07/Aug
01:30,11/Sep
01:30,11/Sep
01:30,06/Aug
01:30,07/Aug
22:30,05/Aug
23:30,05/Aug
01:30,07/Aug
01:30,06/Aug
01:30,24/Jul
01:30,07/Aug
23:30,05/Aug
23:30,05/Aug
23:30,06/Aug
23:30,25/Aug
23:30,23/Jul
23:30,25/Aug
23:30,20/Jul
23:30,20/Jul
05:30,16/Oct
05:30,25/Sep
05:30,07/Apr
00:30,19/Jan
05:30,17/Feb
01:30,07/Aug
00:30,08/Dec
00:30,10/Dec
04:30,16/Jan
05:30,24/Mar
01:30,03/Jun
04:30,06/Jan
05:30,23/Mar
05:30,18/Oct
05:30,25/Feb
23:30,05/Aug
05:30,18/Oct
05:30,07/Aug
04:30,03/Dec
04:30,15/Dec
04:30,05/Aug
604
521
506
519
517
513
523
536
524
521
526
525
522
532
519
500
505
512
513
507
518
522
524
532
525
525
524
523
613
611
605
607
468
522
402
386
442
422
724
423
421
487
601
521
443
469
445
443
464
Room CO2 concentration: UnitD1_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Lounge (p_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toil (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Kitchen (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laundry (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund_Toi (p_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toi (p_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: TelRoom (p_laguna01092014.aps)
Room CO2 concentration: ElectricalRoom (p_laguna01092014.aps)
Room CO2 concentration: corridor (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (p_laguna01092014.aps)
Room CO2 concentration: King Rm05 (p_laguna01092014.aps)
Room CO2 concentration: King Rm05R (p_laguna01092014.aps)
Room CO2 concentration: King Rm07 (p_laguna01092014.aps)
Room CO2 concentration: King Rm06 (p_laguna01092014.aps)
Room CO2 concentration: Handi Rm02 (p_laguna01092014.aps)
Room CO2 concentration: King Rm01R (p_laguna01092014.aps)
P a g e | 214
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
405
406
452
395
375
405
455
411
401
374
373
369
363
361
454
399
461
396
453
394
376
452
381
372
450
405
412
394
369
365
364
366
376
390
457
402
413
389
360
360
360
403
398
449
450
457
456
446
450
14:30,21/Jul
14:30,21/Jul
14:30,19/Jul
17:30,04/Apr
12:30,15/Feb
14:30,26/Aug
14:30,29/Jun
14:30,25/Jan
14:30,08/Feb
15:30,05/Mar
14:30,21/Jun
16:30,11/May
15:30,30/Apr
14:30,30/Apr
14:30,02/Jun
16:30,08/Mar
14:30,08/Jun
14:30,10/Jun
14:30,13/Apr
16:30,05/Dec
03:30,11/Apr
14:30,05/Aug
12:30,09/Nov
12:30,09/Nov
14:30,25/Jan
14:30,29/Jul
14:30,12/Apr
14:30,31/Aug
12:30,29/Mar
11:30,20/Dec
12:30,29/Mar
15:30,08/Nov
13:30,18/Jan
14:30,16/Aug
14:30,25/May
15:30,21/Nov
14:30,09/Jul
14:30,19/Jul
02:30,01/Jan
14:30,04/Jan
00:30,01/Jan
12:30,15/Mar
14:30,12/Mar
14:30,29/Jul
14:30,23/Jul
14:30,13/Apr
14:30,13/Apr
14:30,30/Jun
14:30,13/Apr
660
655
752
565
544
663
736
601
602
543
517
481
430
397
701
602
714
633
745
608
508
746
615
532
752
687
656
601
522
551
451
480
534
572
756
600
700
562
360
360
360
607
653
726
731
739
740
739
738
04:30,25/Jan
05:30,25/Dec
05:30,12/Mar
05:30,12/Apr
03:30,26/Jan
05:30,05/Jan
22:30,22/Jan
22:30,05/Aug
22:30,05/Aug
05:30,20/Dec
05:30,06/Jan
03:30,16/Jan
05:30,03/Jul
05:30,14/Oct
05:30,18/Dec
01:30,16/Dec
05:30,05/Feb
05:30,01/Mar
01:30,05/Jan
01:30,06/Aug
06:30,14/Jun
02:30,13/Apr
00:30,13/Aug
04:30,04/Mar
03:30,22/Mar
01:30,20/Jan
05:30,24/Jul
03:30,04/Oct
04:30,10/Apr
05:30,05/Jul
02:30,11/Dec
04:30,04/Jan
05:30,18/Jan
04:30,23/Dec
05:30,30/Jan
22:30,05/Aug
05:30,20/Apr
05:30,24/Jul
00:30,01/Jan
08:30,01/Jan
00:30,01/Jan
23:30,05/Aug
04:30,20/Dec
04:30,13/Apr
05:30,18/Jan
01:30,19/Jan
00:30,08/Dec
04:30,19/Jan
00:30,04/Jan
499
504
603
472
449
497
607
521
526
441
442
419
390
378
602
520
602
478
612
513
429
615
521
458
601
515
520
515
445
447
401
419
453
452
612
514
517
463
360
360
360
517
480
598
599
609
608
598
603
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund (p_laguna01092014.aps)
Room CO2 concentration: UnitB_LaundryToilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitE_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Lounge (p_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toil (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitF_Kitchen (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laundry (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Laund_Toi (p_laguna01092014.aps)
Room CO2 concentration: UnitF_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toi (p_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitB_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet_s (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitA_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitA_Laundry_Toilet (p_laguna01092014.aps)
P a g e | 215
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
449
373
428
365
361
369
370
656
369
365
401
450
392
373
388
367
370
373
403
404
451
382
376
405
456
417
402
370
386
375
365
363
454
401
462
394
451
421
375
453
402
381
452
404
414
406
370
375
366
14:30,07/Jul
13:30,06/Dec
14:30,18/Mar
13:30,19/Jan
14:30,08/Feb
13:30,17/Dec
16:30,14/Nov
14:30,15/Feb
14:30,15/Dec
13:30,01/Apr
14:30,04/Aug
14:30,12/Aug
13:30,17/Nov
13:30,22/Dec
17:30,28/Mar
14:30,23/Nov
14:30,19/Nov
14:30,04/Feb
14:30,18/Aug
14:30,21/Jul
14:30,12/Aug
15:30,19/Dec
14:30,18/Feb
14:30,21/Jul
14:30,07/Jun
11:30,17/Feb
13:30,05/Feb
12:30,30/Apr
15:30,19/Dec
13:30,27/Mar
15:30,20/Jun
15:30,20/Jun
14:30,28/Jun
15:30,25/Jan
14:30,08/Jun
14:30,08/Jun
14:30,07/Jul
12:30,06/Nov
14:30,30/Apr
14:30,19/Jul
17:30,03/Jan
13:30,24/Apr
14:30,16/Aug
14:30,26/Aug
14:30,20/Apr
16:30,14/Feb
14:30,24/Feb
11:30,16/Dec
20:30,23/Jan
705
576
613
441
417
521
469
777
481
477
646
754
609
510
560
541
507
557
618
661
752
553
543
648
725
603
604
535
525
466
419
399
701
603
714
611
701
604
531
745
613
573
736
698
692
605
516
540
459
22:30,01/Nov
05:30,12/Jan
23:30,05/Aug
05:30,14/Oct
05:30,05/Aug
05:30,29/Jan
05:30,28/Apr
05:30,22/Feb
04:30,10/May
04:30,23/Jan
05:30,18/Mar
05:30,02/Apr
23:30,05/Aug
05:30,28/Dec
05:30,14/Oct
04:30,03/Dec
03:30,01/Mar
05:30,09/Mar
05:30,09/Mar
03:30,08/Mar
03:30,26/Mar
03:30,09/Mar
04:30,03/Dec
03:30,08/Mar
21:30,05/Mar
23:30,05/Aug
23:30,05/Aug
04:30,01/Jan
05:30,17/Jul
05:30,09/Jun
05:30,30/Jun
05:30,02/Oct
04:30,05/Feb
02:30,02/Jan
05:30,05/Feb
05:30,04/Jan
00:30,10/Feb
03:30,11/May
05:30,04/Jan
00:30,19/Jan
05:30,29/Jun
01:30,27/Apr
03:30,01/Mar
03:30,28/Apr
03:30,30/Jan
23:30,05/Aug
05:30,17/May
05:30,23/Nov
03:30,14/Oct
598
469
532
402
387
443
419
724
428
417
486
605
516
443
468
448
446
463
492
498
605
469
454
495
606
521
526
433
448
420
388
379
602
519
602
470
599
531
433
609
523
461
596
514
519
519
438
446
404
Room CO2 concentration: UnitA_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Kit (p_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitE_BedRoom (p_laguna01092014.aps)
Room CO2 concentration: UnitE_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitB_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Toilet (p_laguna01092014.aps)
Room CO2 concentration: TelRoom (p_laguna01092014.aps)
Room CO2 concentration: ElectricalRoom (p_laguna01092014.aps)
Room CO2 concentration: corridor (p_laguna01092014.aps)
Room CO2 concentration: UnitD1_Toilet (p_laguna01092014.aps)
Room CO2 concentration: UnitF_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitA_L/D (p_laguna01092014.aps)
Room CO2 concentration: UnitA_L/D (p_laguna01092014.aps)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
365
384
389
459
392
411
373
360
360
360
400
396
396
399
13:30,21/Apr
15:30,07/Mar
14:30,13/Sep
14:30,25/Jan
14:30,21/Dec
14:30,18/Oct
14:30,21/Dec
02:30,01/Jan
14:30,04/Jan
00:30,01/Jan
13:30,09/Apr
14:30,20/Dec
14:30,19/Jul
14:30,25/Feb
473
537
536
758
598
665
554
360
360
360
606
623
626
658
02:30,30/Jan
05:30,16/Jan
04:30,23/Jan
05:30,13/Dec
22:30,23/Jul
06:30,20/Apr
02:30,19/Jan
00:30,01/Jan
08:30,01/Jan
00:30,01/Jan
23:30,20/Jul
04:30,01/Jan
01:30,08/Mar
05:30,05/Jul
Table F.8: Proposed case model; CO2 based DCV- Space Air temperature
Var. Name
Air temperature: LV Room (p_laguna01092014.aps)
Air temperature: Rest Service Area (p_laguna01092014.aps)
Air temperature: Female Toilet (p_laguna01092014.aps)
Air temperature: Male Toilet (p_laguna01092014.aps)
Air temperature: Handicapped Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: UPS Room (p_laguna01092014.aps)
Air temperature: CCTV_SecurityRoom (p_laguna01092014.aps)
Air temperature: Director_Finance_Room (p_laguna01092014.aps)
Air temperature: Revenue_Mgr (p_laguna01092014.aps)
Air temperature: Finance_Deptt (p_laguna01092014.aps)
Air temperature: Director_Sales_Mark (p_laguna01092014.aps)
Air temperature: Reservations_Deptt (p_laguna01092014.aps)
Air temperature: Airlock (p_laguna01092014.aps)
Air temperature: Lift_Lobby (p_laguna01092014.aps)
Air temperature: Lobby (p_laguna01092014.aps)
Air temperature: Human_res_Deptt (p_laguna01092014.aps)
Air temperature: Director_HR_Develop (p_laguna01092014.aps)
Air temperature: GM_Execut_Assistant (p_laguna01092014.aps)
Air temperature: GM (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Meeting_Rm4 (p_laguna01092014.aps)
Air temperature: Wellness_Center_Mgr (p_laguna01092014.aps)
Air temperature: Rain_Body_Shower (p_laguna01092014.aps)
P a g e | 216
Type
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Min. Val.
21.00
21.01
21.04
21.02
21.03
21.03
21.02
21.02
21.01
21.01
21.01
21.10
21.01
21.00
21.00
21.00
21.00
21.00
21.01
21.00
21.01
21.00
21.02
21.01
21.02
Min. Time
00:30,01/Jan
04:30,31/Jan
03:30,17/Nov
05:30,30/Oct
02:30,29/Oct
02:30,22/Nov
01:30,04/Dec
03:30,27/Jan
03:30,24/Jan
02:30,27/Jan
04:30,01/Jan
03:30,26/Jan
03:30,08/Jan
02:30,31/Jan
01:30,01/Jan
00:30,01/Jan
00:30,01/Jan
04:30,11/Mar
04:30,25/Feb
04:30,27/Feb
05:30,07/Jan
00:30,01/Jan
03:30,28/Dec
04:30,11/Mar
22:30,06/Aug
Max. Val. Max. Time
22.00
15:30,19/Jul
22.96
08:30,30/Jun
22.04
10:30,13/Apr
22.02
10:30,06/May
21.98
10:30,21/Jul
22.17
15:30,06/Aug
22.53
14:30,29/Jul
22.67
08:30,06/Aug
22.81
08:30,30/Jul
22.73
08:30,21/Jul
22.67
10:30,10/Sep
22.94
08:30,12/Aug
22.75
13:30,02/Sep
22.77
13:30,16/Jul
22.00
09:30,01/Jan
22.00
10:30,24/Mar
22.00
14:30,23/Mar
22.82
08:30,01/Sep
22.81
08:30,01/Sep
22.82
08:30,07/May
22.98
08:30,26/Jul
22.00
13:30,01/Jan
22.68
15:30,20/Jun
22.72
08:30,27/Jul
22.11
13:30,18/Aug
Mean
21.10
22.15
21.57
21.49
21.48
21.64
21.78
21.98
22.06
22.00
21.95
22.12
21.87
21.82
21.91
21.71
21.72
22.08
22.04
22.06
22.05
21.79
21.65
21.94
21.70
421
453
452
611
516
513
462
360
360
360
516
476
484
493
Air temperature: Pump_Rm (p_laguna01092014.aps)
Air temperature: Treatment_Rm2 (p_laguna01092014.aps)
Air temperature: Swim_Pool_Pump_Rm (p_laguna01092014.aps)
Air temperature: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
Air temperature: Secretary-Mngr_Off (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Gym Store (p_laguna01092014.aps)
Air temperature: Sauna (p_laguna01092014.aps)
Air temperature: Treatment_Rm4 (p_laguna01092014.aps)
Air temperature: Treatment_Rm5 (p_laguna01092014.aps)
Air temperature: Treatment_Rm6 (p_laguna01092014.aps)
Air temperature: Steam_Rm6 (p_laguna01092014.aps)
Air temperature: Electrical_Rm (p_laguna01092014.aps)
Air temperature: Mens_Locker_Rm6 (p_laguna01092014.aps)
Air temperature: Sauna (p_laguna01092014.aps)
Air temperature: Treatment_Rm7 (p_laguna01092014.aps)
Air temperature: Residents_Club (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Meeting_Rm3 (p_laguna01092014.aps)
Air temperature: Busines_Center (p_laguna01092014.aps)
Air temperature: Womens_Locker (p_laguna01092014.aps)
Air temperature: Salon (p_laguna01092014.aps)
Air temperature: Pantry (p_laguna01092014.aps)
Air temperature: Meeting_Rm1 (p_laguna01092014.aps)
Air temperature: Meeting_Rm2 (p_laguna01092014.aps)
Air temperature: Members_Club (p_laguna01092014.aps)
Air temperature: Treatment_Rm3 (p_laguna01092014.aps)
Air temperature: Corridor (p_laguna01092014.aps)
Air temperature: Treatment_Rm1 (p_laguna01092014.aps)
Air temperature: Movement_MeditGym (p_laguna01092014.aps)
Air temperature: Handicapped_Toilet (p_laguna01092014.aps)
Air temperature: Resident's Lift Lobby (p_laguna01092014.aps)
Air temperature: Rain_Body_Shower (p_laguna01092014.aps)
Air temperature: Private_Dining (p_laguna01092014.aps)
Air temperature: Male_Toilet (p_laguna01092014.aps)
Air temperature: Female_Toilet (p_laguna01092014.aps)
Air temperature: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Air temperature: Deboxing_Cleaning (p_laguna01092014.aps)
Air temperature: Purchasing_Receiving_Off (p_laguna01092014.aps)
Air temperature: Service_Lobby (p_laguna01092014.aps)
Air temperature: Private_Dining2 (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Electrical_Rm (p_laguna01092014.aps)
Air temperature: Garbage_Rm (p_laguna01092014.aps)
Air temperature: Housekeeping_Deptt (p_laguna01092014.aps)
Air temperature: Airlock (p_laguna01092014.aps)
Air temperature: Front_Office_Mgr (p_laguna01092014.aps)
Air temperature: Exec_Asstt_Mgr (p_laguna01092014.aps)
P a g e | 217
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.00
21.01
21.00
21.23
21.22
21.01
21.07
20.91
21.00
21.01
21.06
21.02
21.00
21.00
21.02
21.06
21.01
21.00
21.00
21.02
21.01
21.00
21.01
21.01
21.02
21.02
21.12
21.01
21.00
21.01
21.01
21.01
21.01
21.02
21.01
21.01
21.01
21.16
21.01
21.01
21.00
21.02
21.16
21.00
20.70
21.16
21.00
21.01
21.01
00:30,01/Jan
03:30,20/Jan
00:30,01/Jan
04:30,27/Jan
04:30,27/Jan
04:30,12/Mar
04:30,31/Jan
02:30,31/Jan
06:30,05/Dec
01:30,10/Jan
07:30,12/Dec
17:30,20/Jul
00:30,01/Jan
02:30,02/Jan
16:30,23/Nov
05:30,05/Dec
01:30,11/Jan
04:30,02/Jan
04:30,23/Jan
02:30,27/Nov
05:30,07/Feb
02:30,02/Jan
05:30,21/Mar
05:30,27/Jun
00:30,11/Jan
05:30,18/Dec
02:30,25/Jan
01:30,12/Dec
05:30,18/Dec
06:30,22/Jan
02:30,23/Feb
06:30,10/Oct
02:30,25/Jan
21:30,05/Aug
05:30,04/Nov
04:30,20/Nov
04:30,10/Nov
05:30,29/Jan
04:30,23/Jan
03:30,29/Dec
01:30,01/Jan
02:30,09/Jan
04:30,27/Jan
00:30,01/Jan
08:30,02/Feb
07:30,24/Jan
00:30,01/Jan
03:30,25/Jan
00:30,31/Dec
22.00
22.51
22.00
22.85
22.62
22.00
22.00
22.11
21.59
21.86
22.07
22.11
21.46
22.00
22.11
21.97
22.82
22.00
22.00
22.32
22.86
22.00
22.56
22.05
22.90
22.73
22.52
22.35
22.00
22.45
22.61
22.10
22.00
22.27
22.58
22.07
22.08
21.83
22.79
22.83
22.00
22.87
22.00
22.00
21.91
22.91
22.00
22.76
22.71
14:30,18/Jan
08:30,06/May
09:30,01/Jan
08:30,19/Jul
13:30,25/Nov
11:30,24/Feb
09:30,01/Jan
13:30,29/Mar
08:30,26/Jul
07:30,15/Feb
11:30,05/Jul
15:30,04/Jun
14:30,29/Jul
11:30,01/Jan
13:30,20/Dec
11:30,23/Jun
15:30,10/Aug
11:30,01/Jan
09:30,01/Jan
13:30,13/Apr
08:30,29/Jun
12:30,01/Jan
10:30,01/Jun
09:30,21/Jan
12:30,03/Dec
15:30,28/Aug
13:30,23/Jul
10:30,04/Aug
10:30,01/Jan
08:30,21/Jul
09:30,01/Aug
12:30,22/Oct
09:30,01/Jan
11:30,19/Oct
10:30,21/Jul
10:30,05/May
14:30,14/Apr
10:30,29/Jul
08:30,06/Aug
14:30,25/Jul
09:30,01/Jan
10:30,24/Dec
16:30,04/Feb
15:30,29/Jul
11:30,02/Feb
08:30,29/Jul
10:30,01/Jan
15:30,08/Jun
14:30,06/Aug
21.39
21.45
21.57
22.17
21.96
21.60
21.83
21.50
21.25
21.25
21.38
21.79
21.06
21.51
21.69
21.37
21.97
21.67
21.91
21.56
22.03
21.56
21.56
21.51
21.77
21.72
21.86
21.42
21.65
21.43
21.65
21.43
21.69
21.57
21.82
21.57
21.56
21.63
21.94
21.71
21.92
21.71
21.72
21.13
21.50
22.05
21.86
21.63
21.79
Air temperature: Apartment_Lobby (p_laguna01092014.aps)
Air temperature: Guest_Relation (p_laguna01092014.aps)
Air temperature: Female_Toilet (p_laguna01092014.aps)
Air temperature: Male_Toilet (p_laguna01092014.aps)
Air temperature: Handicapped_Toilet (p_laguna01092014.aps)
Air temperature: Isolation_Rm (p_laguna01092014.aps)
Air temperature: PostBoxes (p_laguna01092014.aps)
Air temperature: Corridor (p_laguna01092014.aps)
Air temperature: Coffee_Counters (p_laguna01092014.aps)
Air temperature: Coffee_Shop (p_laguna01092014.aps)
Air temperature: Garbage_Rm_Dry (p_laguna01092014.aps)
Air temperature: Sushi+Plancca grill (p_laguna01092014.aps)
Air temperature: Pizza (p_laguna01092014.aps)
Air temperature: Rotisseri (p_laguna01092014.aps)
Air temperature: Room Service Setup (p_laguna01092014.aps)
Air temperature: Cold Pantry (p_laguna01092014.aps)
Air temperature: Kitchen (p_laguna01092014.aps)
Air temperature: Walkway (p_laguna01092014.aps)
Air temperature: Combi_Kitchen (p_laguna01092014.aps)
Air temperature: HouseKeeping (p_laguna01092014.aps)
Air temperature: Service_Corridor (p_laguna01092014.aps)
Air temperature: WaitStation (p_laguna01092014.aps)
Air temperature: Diniing Area (p_laguna01092014.aps)
Air temperature: Room Service (p_laguna01092014.aps)
Air temperature: Asian Cooking (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: MDF Room (p_laguna01092014.aps)
Air temperature: Chief_Acctt (p_laguna01092014.aps)
Air temperature: Restaurant (p_laguna01092014.aps)
Air temperature: ETS Room (p_laguna01092014.aps)
Air temperature: Scullery-1 (p_laguna01092014.aps)
Air temperature: Dry_Storage (p_laguna01092014.aps)
Air temperature: Gym (p_laguna01092014.aps)
Air temperature: Steam_Rm (p_laguna01092014.aps)
Air temperature: Reception (p_laguna01092014.aps)
Air temperature: Hotel Lift_Lobby (p_laguna01092014.aps)
Air temperature: Dining area (p_laguna01092014.aps)
Air temperature: Passage (p_laguna01092014.aps)
Air temperature: Hotel_Lobby (p_laguna01092014.aps)
Air temperature: Toilet_Female (p_laguna01092014.aps)
Air temperature: Toilet_Male (p_laguna01092014.aps)
Air temperature: Safe_Rm (p_laguna01092014.aps)
Air temperature: Handicap_Toilet (p_laguna01092014.aps)
Air temperature: Restaurant (p_laguna01092014.aps)
Air temperature: North_South_Balcony (p_laguna01092014.aps)
Air temperature: Male_Toilet_Locker Rm (p_laguna01092014.aps)
Air temperature: Male_Toilet1 (p_laguna01092014.aps)
Air temperature: Male_Toilet2 (p_laguna01092014.aps)
P a g e | 218
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
21.00
21.03
21.01
20.85
21.01
21.00
21.12
21.01
21.01
20.68
21.01
21.01
21.01
21.09
21.01
21.01
21.10
21.01
21.01
21.00
21.07
21.02
21.00
21.01
20.79
20.91
21.00
21.00
21.03
21.00
21.01
21.25
21.01
21.01
21.12
21.01
21.02
21.00
21.01
21.03
21.01
21.01
21.00
21.01
21.00
21.00
21.27
21.08
00:30,09/Dec
04:30,30/Jan
02:30,10/Nov
04:30,20/Apr
02:30,11/Jan
01:30,05/Jan
00:30,19/Dec
01:30,01/Feb
04:30,15/Oct
04:30,27/Jan
08:30,02/Feb
04:30,28/Mar
05:30,22/May
04:30,15/Nov
04:30,11/Jan
03:30,28/Apr
03:30,20/May
19:30,21/Mar
02:30,29/Dec
04:30,10/Jan
04:30,01/Jan
04:30,27/Jan
04:30,13/Mar
05:30,23/Jan
04:30,21/May
02:30,31/Jan
01:30,01/Feb
00:30,01/Jan
03:30,15/Jan
05:30,13/Nov
00:30,01/Jan
03:30,21/Dec
06:30,27/Jan
04:30,13/Mar
04:30,21/Sep
04:30,11/Jan
06:30,09/Jan
05:30,19/Nov
00:30,01/Jan
05:30,19/Feb
03:30,09/Nov
06:30,07/Nov
04:30,09/Feb
05:30,26/Mar
04:30,27/Nov
03:30,01/Jan
01:30,01/Jan
01:30,11/Jan
20:30,18/Aug
22.98
22.62
22.04
22.09
22.09
22.73
22.68
22.00
22.10
22.62
22.11
22.26
22.09
22.10
22.88
22.06
22.19
22.00
22.19
22.61
22.00
22.90
22.42
22.61
22.09
22.10
22.11
22.00
22.68
23.08
22.00
22.22
22.00
22.92
22.11
22.60
22.32
22.62
22.00
22.60
22.10
22.09
22.66
22.09
22.84
22.00
22.00
22.11
22.11
08:30,27/Jul
08:30,31/Aug
15:30,12/Apr
14:30,25/Mar
11:30,29/Jul
08:30,30/Jul
08:30,28/Jul
10:30,24/Mar
10:30,19/Jan
16:30,29/Jul
11:30,03/Oct
10:30,29/Jul
10:30,26/Apr
09:30,21/Nov
08:30,29/Jul
11:30,23/Mar
12:30,10/Aug
11:30,05/Jan
15:30,10/Aug
13:30,03/May
12:30,01/Jan
08:30,21/Jul
10:30,26/Aug
08:30,21/Jul
10:30,26/Jan
13:30,15/Apr
10:30,22/Feb
15:30,05/May
08:30,12/Aug
10:30,23/Jul
15:30,29/Jul
12:30,10/Aug
09:30,01/Jan
10:30,07/Sep
15:30,12/Apr
15:30,23/Jul
13:30,25/Jul
10:30,26/Aug
16:30,15/Mar
15:30,06/Aug
17:30,22/Apr
16:30,23/Apr
08:30,28/Jul
11:30,25/Oct
10:30,26/Aug
09:30,01/Jan
12:30,01/Jan
12:30,29/Jul
13:30,26/Aug
21.97
21.88
21.52
21.49
21.65
21.91
21.98
21.73
21.48
21.81
21.57
21.55
21.50
21.51
22.03
21.54
21.64
21.69
21.71
21.95
21.83
22.06
21.61
21.92
21.47
21.64
21.62
21.17
21.95
21.83
21.06
21.63
21.95
21.69
21.60
22.07
21.68
21.67
21.73
21.71
21.57
21.58
22.11
21.57
21.67
21.84
21.57
21.75
21.75
Air temperature: Female_Toilet_Locker (p_laguna01092014.aps)
Air temperature: Female_Toilet1 (p_laguna01092014.aps)
Air temperature: Female_Toilet3 (p_laguna01092014.aps)
Air temperature: Female_Toilet2 (p_laguna01092014.aps)
Air temperature: Men's_Toilet (p_laguna01092014.aps)
Air temperature: Men's_Toilet (p_laguna01092014.aps)
Air temperature: Main corridor (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Kitchen (p_laguna01092014.aps)
Air temperature: Common_Passage (p_laguna01092014.aps)
Air temperature: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
Air temperature: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Air temperature: Corridor (p_laguna01092014.aps)
Air temperature: Corridor (p_laguna01092014.aps)
Air temperature: Elect Room (p_laguna01092014.aps)
Air temperature: House Keep Room (p_laguna01092014.aps)
Air temperature: IDF Room (p_laguna01092014.aps)
Air temperature: S1-TypVIIA L/D (p_laguna01092014.aps)
Air temperature: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
Air temperature: King Rm01 (p_laguna01092014.aps)
Air temperature: King Rm (p_laguna01092014.aps)
Air temperature: Twin Room (p_laguna01092014.aps)
Air temperature: Handi Rm02R (p_laguna01092014.aps)
Air temperature: S4-TypVIIB L/D (p_laguna01092014.aps)
Air temperature: S4-TypVIIA BRm (p_laguna01092014.aps)
Air temperature: King Rm09 (p_laguna01092014.aps)
Air temperature: King Rm08 (p_laguna01092014.aps)
Air temperature: S3-TypVIIB L/D (p_laguna01092014.aps)
Air temperature: King Rm01 (p_laguna01092014.aps)
Air temperature: Twin Room01 (p_laguna01092014.aps)
Air temperature: Twin Room01R (p_laguna01092014.aps)
Air temperature: King Rm02R (p_laguna01092014.aps)
Air temperature: S2-TypVIIA L/D (p_laguna01092014.aps)
Air temperature: King Rm01R (p_laguna01092014.aps)
Air temperature: King Rm02 (p_laguna01092014.aps)
Air temperature: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
P a g e | 219
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.00
20.80
20.85
20.83
21.01
21.08
21.00
21.00
21.01
21.00
21.02
21.00
21.00
21.00
21.00
21.01
21.00
21.12
21.02
21.16
21.18
21.19
21.20
21.13
21.05
21.10
21.09
21.11
21.13
21.11
21.09
21.12
21.16
21.11
21.18
21.01
21.00
20.96
20.96
21.00
20.88
21.01
20.98
20.98
20.98
21.00
20.95
21.01
21.00
00:30,01/Jan
01:30,11/Jan
01:30,11/Jan
01:30,11/Jan
20:30,06/Aug
18:30,19/Oct
04:30,09/Jan
04:30,28/Apr
04:30,25/May
01:30,15/Jan
02:30,13/Jan
05:30,23/Oct
03:30,01/Jan
03:30,01/Jan
00:30,01/Jan
01:30,01/Feb
00:30,01/Jan
04:30,27/Jan
04:30,28/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,23/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,11/Jan
04:30,11/Jan
04:30,17/Feb
04:30,17/Feb
04:30,17/Feb
04:30,11/Jan
04:30,27/Jan
02:30,13/Apr
04:30,11/Jan
04:30,17/Feb
04:30,11/Jan
04:30,17/Feb
04:30,27/Jan
05:30,27/Nov
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,28/Jul
05:30,22/May
22.00
22.11
22.11
22.11
22.11
22.11
22.00
22.11
22.09
22.00
22.66
22.08
22.00
22.00
21.44
22.58
21.31
22.64
22.77
22.66
22.66
22.65
22.64
22.65
22.72
22.67
22.66
22.63
22.60
22.62
22.62
22.62
22.64
22.60
22.68
22.09
22.11
22.09
22.10
22.54
22.10
22.08
22.10
22.09
22.09
22.10
22.09
22.10
22.08
13:30,01/Jan
15:30,06/Apr
15:30,03/Mar
10:30,22/Mar
14:30,22/Nov
12:30,13/Oct
09:30,01/Jan
12:30,08/Apr
10:30,13/Jan
10:30,10/Feb
08:30,06/May
08:30,03/May
12:30,01/Jan
13:30,01/Jan
11:30,29/Jul
11:30,29/Jul
15:30,29/Jul
09:30,16/May
09:30,16/Oct
11:30,09/Feb
11:30,15/Dec
11:30,28/Oct
12:30,05/Feb
15:30,04/May
11:30,19/Oct
15:30,09/Jun
15:30,28/Aug
16:30,02/Jun
16:30,23/Jul
19:30,05/Aug
19:30,04/Aug
19:30,27/Aug
09:30,12/Jul
09:30,06/May
12:30,27/Nov
09:30,23/Nov
13:30,25/Mar
09:30,07/May
13:30,06/May
10:30,02/Jun
08:30,27/Jun
11:30,15/Jan
12:30,02/Feb
11:30,15/Feb
11:30,01/Nov
12:30,22/Feb
12:30,07/Jul
11:30,09/Feb
12:30,13/Jan
21.55
21.55
21.50
21.55
21.65
21.71
21.80
21.55
21.49
21.77
21.71
21.49
21.61
21.62
21.04
21.94
21.02
21.77
21.77
21.99
22.04
22.05
22.04
21.78
21.91
21.67
21.65
21.75
22.03
22.02
22.01
22.00
21.75
22.03
22.02
21.64
21.57
21.54
21.61
21.54
21.41
21.50
21.63
21.61
21.65
21.62
21.59
21.61
21.48
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Toilet (p_laguna01092014.aps)
Air temperature: Twin Room (p_laguna01092014.aps)
Air temperature: Twin Room (p_laguna01092014.aps)
Air temperature: S3-TypVIIB BRm (p_laguna01092014.aps)
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_Laund (p_laguna01092014.aps)
Air temperature: UnitB_LaundryToilet (p_laguna01092014.aps)
Air temperature: UnitB_Kit (p_laguna01092014.aps)
Air temperature: UnitF_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_BedRoom (p_laguna01092014.aps)
Air temperature: UnitF_Kit (p_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitE_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet (p_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Kit (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Kit (p_laguna01092014.aps)
Air temperature: UnitD1_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Kit (p_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitE_Lounge (p_laguna01092014.aps)
Air temperature: UnitE_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Toil (p_laguna01092014.aps)
Air temperature: UnitF_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitF_Kitchen (p_laguna01092014.aps)
Air temperature: UnitB_Kit (p_laguna01092014.aps)
Air temperature: UnitB_Laundry (p_laguna01092014.aps)
Air temperature: UnitB_Laund_Toi (p_laguna01092014.aps)
Air temperature: UnitF_BedRoom (p_laguna01092014.aps)
P a g e | 220
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.01
20.93
20.95
20.94
21.01
20.84
21.01
20.91
20.92
20.89
20.88
20.91
20.90
21.10
21.11
21.02
21.15
21.01
20.93
21.02
21.01
21.01
21.01
21.02
21.01
21.01
21.25
21.21
21.00
21.01
21.00
21.04
21.02
21.01
21.29
21.29
21.21
21.00
21.01
21.27
21.02
21.01
21.01
21.01
21.01
21.01
21.01
21.01
21.23
20:30,26/Apr
04:30,11/Jan
04:30,27/Jan
04:30,27/Jan
01:30,12/Aug
04:30,27/Jan
04:30,19/Apr
04:30,11/Jan
04:30,11/Jan
04:30,11/Jan
04:30,11/Jan
04:30,11/Jan
04:30,11/Jan
04:30,17/Feb
04:30,17/Feb
04:30,17/Feb
04:30,27/Jan
19:30,20/Oct
04:30,11/Jan
22:30,19/Aug
15:30,20/May
05:30,29/May
04:30,19/Apr
04:30,15/Feb
03:30,05/Oct
19:30,03/Apr
04:30,27/Jan
04:30,27/Jan
04:30,21/Oct
04:30,20/Jul
05:30,18/Apr
00:30,29/Aug
01:30,10/Feb
04:30,19/Oct
04:30,26/Jan
03:30,29/Jan
04:30,27/Jan
05:30,28/Nov
20:30,18/Apr
04:30,28/Jan
04:30,27/Jan
20:30,25/Jan
03:30,27/Mar
01:30,11/Dec
04:30,01/Jul
05:30,03/Jul
20:30,09/Nov
00:30,18/Dec
04:30,27/Jan
22.10
22.44
22.11
22.09
22.09
22.10
22.08
22.09
22.10
22.10
22.10
22.09
22.10
22.60
22.67
22.62
22.65
22.10
22.10
22.10
22.09
22.42
22.45
22.59
22.49
22.11
22.58
22.59
22.18
22.11
22.57
22.11
22.10
22.59
22.59
22.57
22.58
22.18
22.10
22.57
22.70
22.66
22.73
22.10
22.57
22.41
22.10
22.09
22.69
10:30,28/Dec
16:30,05/May
15:30,07/Sep
15:30,03/Aug
15:30,20/Jul
13:30,12/May
14:30,27/Oct
14:30,06/Aug
12:30,12/Apr
13:30,20/Jul
12:30,01/Jun
12:30,05/Aug
11:30,03/Aug
08:30,24/Jul
09:30,05/Aug
09:30,28/Jul
09:30,07/Sep
10:30,24/Oct
08:30,03/Jun
15:30,21/Oct
14:30,07/Jan
13:30,13/Apr
13:30,13/Apr
11:30,13/Apr
14:30,06/Aug
16:30,29/Sep
20:30,06/Aug
16:30,29/Jul
16:30,10/Aug
14:30,16/Aug
18:30,10/Aug
12:30,07/May
14:30,21/May
17:30,10/Aug
18:30,26/Jun
19:30,05/Aug
16:30,12/Aug
16:30,26/Aug
14:30,03/Aug
20:30,26/Jul
12:30,12/Jan
12:30,12/Nov
12:30,23/Dec
14:30,15/Apr
13:30,12/Nov
12:30,12/Nov
15:30,13/Jan
08:30,02/Jun
11:30,07/Jan
21.54
21.54
21.56
21.55
21.43
21.45
21.49
21.67
21.60
21.67
21.65
21.66
21.65
21.71
21.71
21.95
21.76
21.66
21.53
21.74
21.60
21.76
21.61
21.91
21.75
21.61
21.93
21.87
21.49
21.63
21.76
21.76
21.76
21.78
21.95
21.93
21.84
21.56
21.59
21.94
21.95
21.69
21.68
21.56
21.83
21.78
21.72
21.60
21.96
Air temperature: UnitB_Toi (p_laguna01092014.aps)
Air temperature: UnitB_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_L/D (p_laguna01092014.aps)
Air temperature: UnitB_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Laundry (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Laundry_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Kit (p_laguna01092014.aps)
Air temperature: UnitE_Kit (p_laguna01092014.aps)
Air temperature: UnitF_L/D (p_laguna01092014.aps)
Air temperature: UnitE_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_L/D (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: TelRoom (p_laguna01092014.aps)
Air temperature: ElectricalRoom (p_laguna01092014.aps)
Air temperature: corridor (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_L/D (p_laguna01092014.aps)
Air temperature: King Rm05 (p_laguna01092014.aps)
Air temperature: King Rm05R (p_laguna01092014.aps)
Air temperature: King Rm07 (p_laguna01092014.aps)
Air temperature: King Rm06 (p_laguna01092014.aps)
Air temperature: Handi Rm02 (p_laguna01092014.aps)
Air temperature: King Rm01R (p_laguna01092014.aps)
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_Laund (p_laguna01092014.aps)
Air temperature: UnitB_LaundryToilet (p_laguna01092014.aps)
Air temperature: UnitB_Kit (p_laguna01092014.aps)
Air temperature: UnitF_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_BedRoom (p_laguna01092014.aps)
Air temperature: UnitF_Kit (p_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitE_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet (p_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Kit (p_laguna01092014.aps)
P a g e | 221
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
21.00
21.02
21.22
21.09
20.94
21.01
21.17
20.92
20.94
21.13
21.18
21.02
21.01
20.98
21.01
21.02
21.02
21.00
21.29
21.02
21.01
21.16
21.01
21.00
21.00
21.00
21.01
21.33
21.15
21.14
21.14
21.14
21.13
21.14
21.17
20.83
21.00
21.01
21.42
21.01
21.01
21.03
21.01
21.01
21.19
21.16
21.01
21.00
21.00
06:30,25/Dec
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
21:30,10/Mar
04:30,17/Feb
04:30,17/Feb
04:30,11/Jan
04:30,14/Jan
04:30,11/Jan
04:30,17/Feb
04:30,21/May
04:30,11/Jan
13:30,15/Apr
12:30,26/Feb
05:30,25/Jul
03:30,29/Dec
04:30,11/Jan
03:30,30/Jan
04:30,28/Oct
04:30,29/Jan
04:30,06/Nov
00:30,01/Jan
00:30,01/Jan
02:30,01/Jan
03:30,06/Apr
04:30,27/Jan
04:30,17/Feb
04:30,17/Feb
04:30,27/Jan
04:30,27/Jan
04:30,11/Jan
04:30,27/Jan
04:30,27/Jan
05:30,23/Jan
20:30,11/Mar
04:30,10/Sep
04:30,27/Jan
05:30,23/Oct
03:30,28/Mar
04:30,08/Jan
03:30,27/Mar
04:30,10/Sep
04:30,27/Jan
04:30,27/Jan
04:30,16/Nov
04:30,20/Oct
03:30,01/Mar
22.70
22.75
22.64
22.69
22.09
22.10
22.57
22.08
22.09
22.59
22.55
22.63
22.64
22.10
22.10
22.10
22.58
22.46
22.58
22.69
22.57
22.64
22.56
21.35
21.18
22.00
22.13
22.60
22.57
22.63
22.64
22.63
22.59
22.68
22.62
22.07
22.09
22.11
22.01
22.16
22.54
22.61
22.36
22.11
22.59
22.60
22.06
22.14
22.21
10:30,03/Nov
11:30,03/Feb
11:30,11/Dec
09:30,09/Aug
08:30,06/May
13:30,29/Jun
08:30,24/Jul
09:30,26/Aug
09:30,12/Aug
08:30,23/Apr
08:30,02/Jun
08:30,26/Jun
13:30,29/Jul
14:30,20/Jul
10:30,18/Jul
10:30,10/Aug
14:30,27/Aug
16:30,06/Aug
19:30,06/May
15:30,11/Jul
12:30,13/Apr
19:30,24/Aug
12:30,13/Apr
15:30,23/Jul
15:30,23/Jul
14:30,04/Feb
16:30,10/Aug
11:30,04/Dec
08:30,26/Jul
09:30,12/Jul
15:30,25/Jul
15:30,07/Aug
11:30,27/Jul
11:30,11/Dec
08:30,21/Jul
09:30,28/Jun
11:30,19/Apr
14:30,04/Oct
09:30,19/Jul
15:30,05/Aug
12:30,07/Jul
11:30,13/Apr
15:30,05/Aug
10:30,10/May
19:30,05/Aug
16:30,28/Jul
14:30,12/Apr
16:30,28/Jul
18:30,05/Aug
21.72
21.90
22.10
21.74
21.53
21.66
21.78
21.57
21.61
21.82
21.83
21.83
21.65
21.60
21.55
21.56
21.80
21.73
21.98
21.81
21.65
22.11
21.66
21.02
21.01
21.63
21.49
22.07
21.85
21.79
21.76
21.77
22.01
21.96
21.78
21.52
21.53
21.58
21.79
21.71
21.66
21.92
21.73
21.72
21.88
21.88
21.51
21.49
21.58
Air temperature: UnitD1_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitD1_Kit (p_laguna01092014.aps)
Air temperature: UnitD1_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_L/D (p_laguna01092014.aps)
Air temperature: UnitD1_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Kit (p_laguna01092014.aps)
Air temperature: UnitE_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitE_Lounge (p_laguna01092014.aps)
Air temperature: UnitE_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Toil (p_laguna01092014.aps)
Air temperature: UnitF_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitF_Kitchen (p_laguna01092014.aps)
Air temperature: UnitB_Kit (p_laguna01092014.aps)
Air temperature: UnitB_Laundry (p_laguna01092014.aps)
Air temperature: UnitB_Laund_Toi (p_laguna01092014.aps)
Air temperature: UnitF_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_Toi (p_laguna01092014.aps)
Air temperature: UnitB_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_L/D (p_laguna01092014.aps)
Air temperature: UnitB_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_Toilet_s (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitA_BedRoom (p_laguna01092014.aps)
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Laundry (p_laguna01092014.aps)
Air temperature: UnitA_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Laundry_Toilet (p_laguna01092014.aps)
Air temperature: UnitA_Kit (p_laguna01092014.aps)
Air temperature: UnitE_Kit (p_laguna01092014.aps)
Air temperature: UnitF_L/D (p_laguna01092014.aps)
Air temperature: UnitE_BedRoom (p_laguna01092014.aps)
Air temperature: UnitE_Toilet (p_laguna01092014.aps)
Air temperature: UnitB_L/D (p_laguna01092014.aps)
Air temperature: UnitB_Toilet (p_laguna01092014.aps)
Air temperature: TelRoom (p_laguna01092014.aps)
Air temperature: ElectricalRoom (p_laguna01092014.aps)
Air temperature: corridor (p_laguna01092014.aps)
Air temperature: UnitD1_Toilet (p_laguna01092014.aps)
Air temperature: UnitF_L/D (p_laguna01092014.aps)
Air temperature: UnitA_L/D (p_laguna01092014.aps)
Air temperature: UnitA_L/D (p_laguna01092014.aps)
P a g e | 222
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
20.94
20.96
21.01
21.19
21.19
21.17
21.01
20.85
21.18
21.05
21.01
21.01
21.00
21.01
21.00
21.18
21.02
21.18
21.01
21.03
21.17
21.11
21.00
21.00
21.12
20.88
20.92
21.10
21.13
21.02
21.01
21.00
20.82
20.90
21.01
21.01
21.24
21.02
21.01
21.11
21.01
21.00
21.00
21.00
21.01
21.27
21.12
21.20
04:30,27/Jan
04:30,27/Jan
04:30,05/Nov
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,18/Nov
04:30,27/Jan
04:30,27/Jan
03:30,27/Jan
01:30,18/Jan
03:30,08/Apr
04:30,10/Aug
03:30,08/Apr
04:30,20/Apr
04:30,27/Jan
19:30,26/Jul
04:30,27/Jan
04:30,28/Apr
03:30,27/Jan
04:30,27/Jan
04:30,27/Jan
05:30,25/Sep
19:30,12/Feb
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
04:30,17/Feb
04:30,23/Mar
04:30,19/May
04:30,27/Jan
04:30,27/Jan
04:30,08/May
04:30,28/Apr
04:30,27/Jan
03:30,17/Feb
02:30,10/Nov
04:30,27/Jan
04:30,09/Nov
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
04:30,25/Nov
04:30,27/Jan
04:30,27/Jan
04:30,27/Jan
22.09
22.10
22.41
22.61
22.56
22.59
22.12
22.10
22.58
22.70
22.65
22.66
22.11
22.12
22.10
21.95
22.11
22.67
22.69
22.75
22.64
22.67
22.07
22.08
22.59
22.13
22.19
22.61
22.57
22.64
22.25
22.10
22.10
22.10
22.11
22.12
22.60
22.69
22.59
22.65
22.60
21.82
21.75
22.00
22.06
22.59
22.58
22.57
17:30,11/Jun
16:30,28/Jun
16:30,06/Aug
19:30,05/Aug
19:30,23/Jul
20:30,05/Aug
15:30,27/Aug
13:30,06/Sep
18:30,29/Jul
10:30,28/Oct
10:30,05/Nov
11:30,27/Nov
14:30,12/Mar
20:30,05/Aug
11:30,06/Dec
14:30,08/Oct
14:30,29/Jun
10:30,17/Dec
11:30,12/Nov
09:30,14/Nov
11:30,13/Oct
09:30,29/Aug
09:30,26/Nov
11:30,24/Apr
08:30,06/Aug
08:30,15/Jun
14:30,27/Jul
08:30,29/Jul
20:30,05/Aug
09:30,12/Aug
14:30,06/Aug
09:30,20/Apr
13:30,11/Sep
10:30,12/Jul
15:30,26/May
19:30,05/Aug
19:30,06/Aug
15:30,20/Jun
11:30,10/Aug
09:30,10/Jul
11:30,10/Aug
16:30,06/Aug
16:30,21/Jul
16:30,04/Feb
16:30,12/Apr
11:30,10/Oct
20:30,23/Jul
20:30,06/Aug
21.58
21.58
21.74
21.92
21.87
21.88
21.57
21.52
21.93
21.96
21.72
21.69
21.66
21.55
21.51
21.64
21.80
22.00
21.73
21.93
22.09
21.76
21.49
21.62
21.79
21.48
21.50
21.84
21.82
21.86
21.54
21.57
21.49
21.53
21.54
21.56
21.98
21.82
21.72
22.07
21.73
21.07
21.06
21.78
21.57
22.03
21.88
21.89
Table F.9: Proposed case model; CO2 based DCV- Room Temperature Cooling Set Point
Var. Name
Cooling set point: LV Room (p_laguna01092014.aps)
Cooling set point: Rest Service Area (p_laguna01092014.aps)
Cooling set point: Female Toilet (p_laguna01092014.aps)
Cooling set point: Male Toilet (p_laguna01092014.aps)
Cooling set point: Handicapped Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: UPS Room (p_laguna01092014.aps)
Cooling set point: CCTV_SecurityRoom (p_laguna01092014.aps)
Cooling set point: Director_Finance_Room (p_laguna01092014.aps)
Cooling set point: Revenue_Mgr (p_laguna01092014.aps)
Cooling set point: Finance_Deptt (p_laguna01092014.aps)
Cooling set point: Director_Sales_Mark (p_laguna01092014.aps)
Cooling set point: Reservations_Deptt (p_laguna01092014.aps)
Cooling set point: Airlock (p_laguna01092014.aps)
Cooling set point: Lift_Lobby (p_laguna01092014.aps)
Cooling set point: Lobby (p_laguna01092014.aps)
Cooling set point: Human_res_Deptt (p_laguna01092014.aps)
Cooling set point: Director_HR_Develop (p_laguna01092014.aps)
Cooling set point: GM_Execut_Assistant (p_laguna01092014.aps)
Cooling set point: GM (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Meeting_Rm4 (p_laguna01092014.aps)
Cooling set point: Wellness_Center_Mgr (p_laguna01092014.aps)
Cooling set point: Rain_Body_Shower (p_laguna01092014.aps)
Cooling set point: Pump_Rm (p_laguna01092014.aps)
Cooling set point: Treatment_Rm2 (p_laguna01092014.aps)
Cooling set point: Swim_Pool_Pump_Rm (p_laguna01092014.aps)
Cooling set point: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
Cooling set point: Secretary-Mngr_Off (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Gym Store (p_laguna01092014.aps)
Cooling set point: Sauna (p_laguna01092014.aps)
Cooling set point: Treatment_Rm4 (p_laguna01092014.aps)
Cooling set point: Treatment_Rm5 (p_laguna01092014.aps)
Cooling set point: Treatment_Rm6 (p_laguna01092014.aps)
Cooling set point: Steam_Rm6 (p_laguna01092014.aps)
Cooling set point: Electrical_Rm (p_laguna01092014.aps)
Cooling set point: Mens_Locker_Rm6 (p_laguna01092014.aps)
Cooling set point: Sauna (p_laguna01092014.aps)
P a g e | 223
Type
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Min. Val.
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Min. Time
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Max. Val. Max. Time
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
22.00
00:30,01/Jan
Mean
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Treatment_Rm7 (p_laguna01092014.aps)
Cooling set point: Residents_Club (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Meeting_Rm3 (p_laguna01092014.aps)
Cooling set point: Busines_Center (p_laguna01092014.aps)
Cooling set point: Womens_Locker (p_laguna01092014.aps)
Cooling set point: Salon (p_laguna01092014.aps)
Cooling set point: Pantry (p_laguna01092014.aps)
Cooling set point: Meeting_Rm1 (p_laguna01092014.aps)
Cooling set point: Meeting_Rm2 (p_laguna01092014.aps)
Cooling set point: Members_Club (p_laguna01092014.aps)
Cooling set point: Treatment_Rm3 (p_laguna01092014.aps)
Cooling set point: Corridor (p_laguna01092014.aps)
Cooling set point: Treatment_Rm1 (p_laguna01092014.aps)
Cooling set point: Movement_MeditGym (p_laguna01092014.aps)
Cooling set point: Handicapped_Toilet (p_laguna01092014.aps)
Cooling set point: Resident's Lift Lobby (p_laguna01092014.aps)
Cooling set point: Rain_Body_Shower (p_laguna01092014.aps)
Cooling set point: Private_Dining (p_laguna01092014.aps)
Cooling set point: Male_Toilet (p_laguna01092014.aps)
Cooling set point: Female_Toilet (p_laguna01092014.aps)
Cooling set point: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Cooling set point: Deboxing_Cleaning (p_laguna01092014.aps)
Cooling set point: Purchasing_Receiving_Off (p_laguna01092014.aps)
Cooling set point: Service_Lobby (p_laguna01092014.aps)
Cooling set point: Private_Dining2 (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Electrical_Rm (p_laguna01092014.aps)
Cooling set point: Housekeeping_Deptt (p_laguna01092014.aps)
Cooling set point: Airlock (p_laguna01092014.aps)
Cooling set point: Front_Office_Mgr (p_laguna01092014.aps)
Cooling set point: Exec_Asstt_Mgr (p_laguna01092014.aps)
Cooling set point: Apartment_Lobby (p_laguna01092014.aps)
Cooling set point: Guest_Relation (p_laguna01092014.aps)
Cooling set point: Female_Toilet (p_laguna01092014.aps)
Cooling set point: Male_Toilet (p_laguna01092014.aps)
Cooling set point: Handicapped_Toilet (p_laguna01092014.aps)
Cooling set point: Isolation_Rm (p_laguna01092014.aps)
Cooling set point: PostBoxes (p_laguna01092014.aps)
Cooling set point: Corridor (p_laguna01092014.aps)
Cooling set point: Coffee_Counters (p_laguna01092014.aps)
Cooling set point: Coffee_Shop (p_laguna01092014.aps)
Cooling set point: Sushi+Plancca grill (p_laguna01092014.aps)
Cooling set point: Pizza (p_laguna01092014.aps)
Cooling set point: Rotisseri (p_laguna01092014.aps)
Cooling set point: Room Service Setup (p_laguna01092014.aps)
Cooling set point: Cold Pantry (p_laguna01092014.aps)
Cooling set point: Kitchen (p_laguna01092014.aps)
P a g e | 224
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: Walkway (p_laguna01092014.aps)
Cooling set point: Combi_Kitchen (p_laguna01092014.aps)
Cooling set point: HouseKeeping (p_laguna01092014.aps)
Cooling set point: Service_Corridor (p_laguna01092014.aps)
Cooling set point: WaitStation (p_laguna01092014.aps)
Cooling set point: Diniing Area (p_laguna01092014.aps)
Cooling set point: Room Service (p_laguna01092014.aps)
Cooling set point: Asian Cooking (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: MDF Room (p_laguna01092014.aps)
Cooling set point: Chief_Acctt (p_laguna01092014.aps)
Cooling set point: Restaurant (p_laguna01092014.aps)
Cooling set point: ETS Room (p_laguna01092014.aps)
Cooling set point: Scullery-1 (p_laguna01092014.aps)
Cooling set point: Dry_Storage (p_laguna01092014.aps)
Cooling set point: Gym (p_laguna01092014.aps)
Cooling set point: Steam_Rm (p_laguna01092014.aps)
Cooling set point: Reception (p_laguna01092014.aps)
Cooling set point: Hotel Lift_Lobby (p_laguna01092014.aps)
Cooling set point: Dining area (p_laguna01092014.aps)
Cooling set point: Passage (p_laguna01092014.aps)
Cooling set point: Hotel_Lobby (p_laguna01092014.aps)
Cooling set point: Toilet_Female (p_laguna01092014.aps)
Cooling set point: Toilet_Male (p_laguna01092014.aps)
Cooling set point: Safe_Rm (p_laguna01092014.aps)
Cooling set point: Handicap_Toilet (p_laguna01092014.aps)
Cooling set point: Restaurant (p_laguna01092014.aps)
Cooling set point: North_South_Balcony (p_laguna01092014.aps)
Cooling set point: Male_Toilet_Locker Rm (p_laguna01092014.aps)
Cooling set point: Male_Toilet1 (p_laguna01092014.aps)
Cooling set point: Male_Toilet2 (p_laguna01092014.aps)
Cooling set point: Female_Toilet_Locker (p_laguna01092014.aps)
Cooling set point: Female_Toilet1 (p_laguna01092014.aps)
Cooling set point: Female_Toilet3 (p_laguna01092014.aps)
Cooling set point: Female_Toilet2 (p_laguna01092014.aps)
Cooling set point: Men's_Toilet (p_laguna01092014.aps)
Cooling set point: Men's_Toilet (p_laguna01092014.aps)
Cooling set point: Main corridor (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Kitchen (p_laguna01092014.aps)
Cooling set point: Common_Passage (p_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Cooling set point: Corridor (p_laguna01092014.aps)
Cooling set point: Corridor (p_laguna01092014.aps)
Cooling set point: Elect Room (p_laguna01092014.aps)
Cooling set point: House Keep Room (p_laguna01092014.aps)
Cooling set point: IDF Room (p_laguna01092014.aps)
P a g e | 225
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: S1-TypVIIA L/D (p_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
Cooling set point: King Rm01 (p_laguna01092014.aps)
Cooling set point: King Rm (p_laguna01092014.aps)
Cooling set point: Twin Room (p_laguna01092014.aps)
Cooling set point: Handi Rm02R (p_laguna01092014.aps)
Cooling set point: S4-TypVIIB L/D (p_laguna01092014.aps)
Cooling set point: S4-TypVIIA BRm (p_laguna01092014.aps)
Cooling set point: King Rm09 (p_laguna01092014.aps)
Cooling set point: King Rm08 (p_laguna01092014.aps)
Cooling set point: S3-TypVIIB L/D (p_laguna01092014.aps)
Cooling set point: King Rm01 (p_laguna01092014.aps)
Cooling set point: Twin Room01 (p_laguna01092014.aps)
Cooling set point: Twin Room01R (p_laguna01092014.aps)
Cooling set point: King Rm02R (p_laguna01092014.aps)
Cooling set point: S2-TypVIIA L/D (p_laguna01092014.aps)
Cooling set point: King Rm01R (p_laguna01092014.aps)
Cooling set point: King Rm02 (p_laguna01092014.aps)
Cooling set point: Suit 2 TypVIIAToilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Toilet (p_laguna01092014.aps)
Cooling set point: Twin Room (p_laguna01092014.aps)
Cooling set point: Twin Room (p_laguna01092014.aps)
Cooling set point: S3-TypVIIB BRm (p_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (p_laguna01092014.aps)
P a g e | 226
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: UnitB_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_Laund (p_laguna01092014.aps)
Cooling set point: UnitB_LaundryToilet (p_laguna01092014.aps)
Cooling set point: UnitB_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitF_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitE_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Kit (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Kit (p_laguna01092014.aps)
Cooling set point: UnitD1_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Kit (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitE_Lounge (p_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Toil (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitF_Kitchen (p_laguna01092014.aps)
Cooling set point: UnitB_Kit (p_laguna01092014.aps)
Cooling set point: UnitB_Laundry (p_laguna01092014.aps)
Cooling set point: UnitB_Laund_Toi (p_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Toi (p_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_L/D (p_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Laundry (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Laundry_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Kit (p_laguna01092014.aps)
P a g e | 227
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: UnitE_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_L/D (p_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_L/D (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: TelRoom (p_laguna01092014.aps)
Cooling set point: ElectricalRoom (p_laguna01092014.aps)
Cooling set point: corridor (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_L/D (p_laguna01092014.aps)
Cooling set point: King Rm05 (p_laguna01092014.aps)
Cooling set point: King Rm05R (p_laguna01092014.aps)
Cooling set point: King Rm07 (p_laguna01092014.aps)
Cooling set point: King Rm06 (p_laguna01092014.aps)
Cooling set point: Handi Rm02 (p_laguna01092014.aps)
Cooling set point: King Rm01R (p_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_Laund (p_laguna01092014.aps)
Cooling set point: UnitB_LaundryToilet (p_laguna01092014.aps)
Cooling set point: UnitB_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitF_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitE_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Kit (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitD1_Kit (p_laguna01092014.aps)
Cooling set point: UnitD1_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_L/D (p_laguna01092014.aps)
Cooling set point: UnitD1_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Kit (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitE_Lounge (p_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Toil (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitF_Kitchen (p_laguna01092014.aps)
Cooling set point: UnitB_Kit (p_laguna01092014.aps)
Cooling set point: UnitB_Laundry (p_laguna01092014.aps)
Cooling set point: UnitB_Laund_Toi (p_laguna01092014.aps)
P a g e | 228
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Cooling set point: UnitF_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Toi (p_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_L/D (p_laguna01092014.aps)
Cooling set point: UnitB_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet_s (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitA_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitB_Bed Room (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Laundry (p_laguna01092014.aps)
Cooling set point: UnitA_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Laundry_Toilet (p_laguna01092014.aps)
Cooling set point: UnitA_Kit (p_laguna01092014.aps)
Cooling set point: UnitE_Kit (p_laguna01092014.aps)
Cooling set point: UnitF_L/D (p_laguna01092014.aps)
Cooling set point: UnitE_BedRoom (p_laguna01092014.aps)
Cooling set point: UnitE_Toilet (p_laguna01092014.aps)
Cooling set point: UnitB_L/D (p_laguna01092014.aps)
Cooling set point: UnitB_Toilet (p_laguna01092014.aps)
Cooling set point: TelRoom (p_laguna01092014.aps)
Cooling set point: ElectricalRoom (p_laguna01092014.aps)
Cooling set point: corridor (p_laguna01092014.aps)
Cooling set point: UnitD1_Toilet (p_laguna01092014.aps)
Cooling set point: UnitF_L/D (p_laguna01092014.aps)
Cooling set point: UnitA_L/D (p_laguna01092014.aps)
Cooling set point: UnitA_L/D (p_laguna01092014.aps)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
Temperature (°C)
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
22.00
Table F.10: Proposed case model; CO2 based DCV- People Dissatisfied
Var. Name
People dissatisfied: Rest Service Area (p_laguna01092014.aps)
People dissatisfied: UPS Room (p_laguna01092014.aps)
People dissatisfied: CCTV_SecurityRoom (p_laguna01092014.aps)
People dissatisfied: Director_Finance_Room (p_laguna01092014.aps)
People dissatisfied: Revenue_Mgr (p_laguna01092014.aps)
People dissatisfied: Finance_Deptt (p_laguna01092014.aps)
P a g e | 229
Type
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Min. Val.
5.00
5.00
5.00
5.00
5.00
5.00
Min. Time
09:30,21/Feb
17:30,19/Jan
18:30,06/Mar
19:30,08/Feb
17:30,06/Mar
13:30,02/Jan
Max. Val. Max. Time
6.92
08:30,16/Jul
6.59
08:30,30/Jul
6.91
08:30,30/Jul
6.59
08:30,12/Aug
7.79
13:30,04/Nov
7.22
08:30,12/Aug
Mean
5.52
5.42
5.47
5.42
5.69
5.57
People dissatisfied: Director_Sales_Mark (p_laguna01092014.aps)
People dissatisfied: Reservations_Deptt (p_laguna01092014.aps)
People dissatisfied: Human_res_Deptt (p_laguna01092014.aps)
People dissatisfied: Director_HR_Develop (p_laguna01092014.aps)
People dissatisfied: GM_Execut_Assistant (p_laguna01092014.aps)
People dissatisfied: GM (p_laguna01092014.aps)
People dissatisfied: Meeting_Rm4 (p_laguna01092014.aps)
People dissatisfied: Wellness_Center_Mgr (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm2 (p_laguna01092014.aps)
People dissatisfied: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
People dissatisfied: Secretary-Mngr_Off (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm4 (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm5 (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm6 (p_laguna01092014.aps)
People dissatisfied: Mens_Locker_Rm6 (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm7 (p_laguna01092014.aps)
People dissatisfied: Residents_Club (p_laguna01092014.aps)
People dissatisfied: Meeting_Rm3 (p_laguna01092014.aps)
People dissatisfied: Busines_Center (p_laguna01092014.aps)
People dissatisfied: Womens_Locker (p_laguna01092014.aps)
People dissatisfied: Meeting_Rm1 (p_laguna01092014.aps)
People dissatisfied: Meeting_Rm2 (p_laguna01092014.aps)
People dissatisfied: Members_Club (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm3 (p_laguna01092014.aps)
People dissatisfied: Treatment_Rm1 (p_laguna01092014.aps)
People dissatisfied: Private_Dining (p_laguna01092014.aps)
People dissatisfied: Deboxing_Cleaning (p_laguna01092014.aps)
People dissatisfied: Purchasing_Receiving_Off (p_laguna01092014.aps)
People dissatisfied: Private_Dining2 (p_laguna01092014.aps)
People dissatisfied: Housekeeping_Deptt (p_laguna01092014.aps)
People dissatisfied: Front_Office_Mgr (p_laguna01092014.aps)
People dissatisfied: Exec_Asstt_Mgr (p_laguna01092014.aps)
People dissatisfied: Apartment_Lobby (p_laguna01092014.aps)
People dissatisfied: Guest_Relation (p_laguna01092014.aps)
People dissatisfied: Isolation_Rm (p_laguna01092014.aps)
People dissatisfied: Coffee_Shop (p_laguna01092014.aps)
People dissatisfied: Room Service Setup (p_laguna01092014.aps)
People dissatisfied: HouseKeeping (p_laguna01092014.aps)
People dissatisfied: WaitStation (p_laguna01092014.aps)
People dissatisfied: Diniing Area (p_laguna01092014.aps)
People dissatisfied: Room Service (p_laguna01092014.aps)
People dissatisfied: Chief_Acctt (p_laguna01092014.aps)
People dissatisfied: Restaurant (p_laguna01092014.aps)
People dissatisfied: Reception (p_laguna01092014.aps)
People dissatisfied: Hotel Lift_Lobby (p_laguna01092014.aps)
People dissatisfied: Dining area (p_laguna01092014.aps)
People dissatisfied: Hotel_Lobby (p_laguna01092014.aps)
People dissatisfied: Safe_Rm (p_laguna01092014.aps)
People dissatisfied: Restaurant (p_laguna01092014.aps)
P a g e | 230
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
04:30,29/Apr
04:30,22/Nov
21:30,04/Mar
15:30,17/Jan
03:30,15/Jan
07:30,21/Dec
19:30,03/Feb
05:30,04/May
07:30,07/Feb
01:30,02/Jan
08:30,11/Apr
08:30,13/Mar
08:30,01/Jan
18:30,11/Feb
19:30,03/Jun
20:30,03/Apr
21:30,05/Mar
11:30,10/Jan
22:30,01/Feb
17:30,21/Jan
20:30,10/Apr
19:30,07/Jan
00:30,21/Jun
17:30,08/Jan
01:30,15/Apr
08:30,21/Jan
23:30,12/Feb
21:30,18/Mar
05:30,03/Feb
00:30,04/Feb
21:30,30/Mar
00:30,24/Mar
18:30,09/Mar
19:30,18/Jan
03:30,31/Mar
09:30,23/Feb
21:30,17/Feb
23:30,01/Apr
06:30,11/Feb
23:30,24/Jan
13:30,30/Jan
01:30,17/Nov
04:30,22/Mar
21:30,19/Jan
08:30,15/Jan
01:30,15/Jan
05:30,28/May
03:30,23/Nov
17:30,21/Jan
11.28
9.16
6.93
7.01
7.03
8.50
10.43
6.68
7.60
6.98
6.38
5.98
5.96
5.88
6.24
5.85
6.48
6.61
6.80
6.26
9.03
9.98
5.85
7.32
7.36
6.46
6.74
12.88
11.15
6.94
10.51
9.21
8.24
6.38
7.14
7.60
6.93
6.34
7.02
7.41
6.38
6.57
10.40
6.23
6.10
7.88
7.43
6.64
10.21
14:30,03/Nov
15:30,06/Aug
08:30,01/Sep
08:30,01/Sep
08:30,19/Aug
13:30,08/Oct
16:30,05/May
08:30,20/Jul
09:30,07/Sep
08:30,19/Jul
08:30,04/Aug
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
05:30,10/Dec
06:30,10/Dec
15:30,06/Aug
13:30,07/Jul
08:30,19/Aug
06:30,16/Jan
13:30,23/Dec
15:30,03/Sep
14:30,27/Jul
10:30,04/Aug
09:30,12/Aug
16:30,21/Jul
08:30,12/Aug
15:30,06/Aug
12:30,23/Dec
08:30,12/Aug
15:30,04/May
15:30,27/Aug
13:30,07/Jul
08:30,16/Jul
08:30,30/Jul
16:30,29/Jul
08:30,12/Aug
13:30,13/Aug
08:30,03/Aug
10:30,26/Aug
11:30,07/Sep
08:30,12/Aug
10:30,26/Aug
16:30,06/Aug
05:30,10/Dec
10:30,26/Aug
15:30,06/Aug
08:30,03/Aug
10:30,26/Aug
6.26
5.71
5.58
5.56
5.55
5.96
5.71
5.44
5.28
5.51
5.35
5.10
5.09
5.07
5.14
5.08
5.37
5.26
5.47
5.14
5.60
5.81
5.23
5.26
5.27
5.39
5.40
6.01
5.87
5.38
5.66
5.76
5.71
5.32
5.50
5.55
5.39
5.36
5.46
5.60
5.35
5.39
6.00
5.40
5.14
5.65
5.39
5.53
5.89
People dissatisfied: Male_Toilet_Locker Rm (p_laguna01092014.aps)
People dissatisfied: Female_Toilet_Locker (p_laguna01092014.aps)
People dissatisfied: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
People dissatisfied: House Keep Room (p_laguna01092014.aps)
People dissatisfied: S1-TypVIIA L/D (p_laguna01092014.aps)
People dissatisfied: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
People dissatisfied: King Rm01 (p_laguna01092014.aps)
People dissatisfied: King Rm (p_laguna01092014.aps)
People dissatisfied: Twin Room (p_laguna01092014.aps)
People dissatisfied: Handi Rm02R (p_laguna01092014.aps)
People dissatisfied: S4-TypVIIB L/D (p_laguna01092014.aps)
People dissatisfied: S4-TypVIIA BRm (p_laguna01092014.aps)
People dissatisfied: King Rm09 (p_laguna01092014.aps)
People dissatisfied: King Rm08 (p_laguna01092014.aps)
People dissatisfied: S3-TypVIIB L/D (p_laguna01092014.aps)
People dissatisfied: King Rm01 (p_laguna01092014.aps)
People dissatisfied: Twin Room01 (p_laguna01092014.aps)
People dissatisfied: Twin Room01R (p_laguna01092014.aps)
People dissatisfied: King Rm02R (p_laguna01092014.aps)
People dissatisfied: S2-TypVIIA L/D (p_laguna01092014.aps)
People dissatisfied: King Rm01R (p_laguna01092014.aps)
People dissatisfied: King Rm02 (p_laguna01092014.aps)
People dissatisfied: Twin Room (p_laguna01092014.aps)
People dissatisfied: Twin Room (p_laguna01092014.aps)
People dissatisfied: S3-TypVIIB BRm (p_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (p_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitE_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitE_Lounge (p_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_L/D (p_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (p_laguna01092014.aps)
People dissatisfied: UnitF_L/D (p_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_L/D (p_laguna01092014.aps)
People dissatisfied: UnitF_L/D (p_laguna01092014.aps)
People dissatisfied: King Rm05 (p_laguna01092014.aps)
People dissatisfied: King Rm05R (p_laguna01092014.aps)
People dissatisfied: King Rm07 (p_laguna01092014.aps)
P a g e | 231
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
16:30,21/Feb
16:30,21/Jan
21:30,17/Feb
01:30,25/Apr
17:30,09/Mar
08:30,03/Feb
07:30,06/Dec
00:30,17/Jan
01:30,12/Feb
23:30,10/Feb
02:30,06/Mar
19:30,18/Jan
07:30,06/Mar
09:30,11/Jan
10:30,08/Jan
23:30,31/Dec
00:30,18/Jan
08:30,22/Jan
16:30,05/Feb
02:30,03/Jan
04:30,15/Jan
00:30,06/Dec
04:30,14/Mar
06:30,03/Jan
17:30,03/Jan
13:30,04/Jan
13:30,10/Dec
09:30,05/Jan
09:30,08/Jan
12:30,07/Dec
04:30,03/Jan
06:30,22/Jan
18:30,20/Jan
06:30,14/Mar
02:30,15/Feb
03:30,13/Apr
03:30,02/Jan
18:30,06/Dec
19:30,23/Jan
01:30,15/Jan
08:30,24/Jan
18:30,02/Jan
06:30,03/Jan
21:30,27/Jan
17:30,10/Feb
04:30,14/Jan
12:30,04/Jan
00:30,31/Jan
04:30,03/Dec
6.36
6.33
10.74
6.48
7.51
12.97
8.03
7.73
7.71
7.30
7.36
10.42
7.75
7.85
7.28
6.44
6.43
6.46
6.42
7.27
6.47
7.77
6.92
7.83
7.13
7.25
6.45
6.28
6.50
6.30
6.28
6.55
6.25
8.94
8.25
10.96
7.20
8.10
6.57
6.70
6.40
7.58
6.33
8.18
6.43
6.75
6.31
6.65
6.69
07:30,16/Jan
07:30,16/Jan
09:30,16/Jun
08:30,12/Aug
09:30,07/Sep
10:30,28/Oct
12:30,23/Dec
12:30,27/Nov
12:30,27/Nov
12:30,27/Nov
15:30,04/May
13:30,27/Nov
15:30,25/Jul
15:30,28/Aug
15:30,25/Jul
10:30,18/Jul
11:30,18/Jul
10:30,18/Jul
11:30,18/Jul
09:30,04/Jul
09:30,17/Jul
12:30,27/Nov
08:30,12/Aug
09:30,29/May
12:30,07/Jul
09:30,07/Sep
10:30,17/Jul
16:30,04/Aug
16:30,07/Sep
20:30,21/Jul
20:30,16/Aug
16:30,07/Sep
16:30,07/Sep
12:30,27/Nov
12:30,23/Dec
10:30,28/Oct
12:30,27/Nov
09:30,12/Sep
08:30,12/Aug
08:30,01/Aug
08:30,12/Aug
09:30,12/Aug
20:30,19/Jul
15:30,06/Aug
10:30,18/Jul
12:30,27/Nov
08:30,12/Aug
09:30,04/Jul
15:30,25/Jul
5.16
5.15
5.74
5.37
5.38
6.29
5.56
5.60
5.59
5.52
5.35
6.04
5.30
5.30
5.31
5.46
5.46
5.46
5.45
5.31
5.46
5.56
5.26
5.32
5.60
5.31
5.40
5.31
5.32
5.32
5.30
5.30
5.30
5.86
5.55
6.08
5.56
5.44
5.26
5.31
5.26
5.49
5.35
5.56
5.51
5.47
5.25
5.23
5.23
People dissatisfied: King Rm06 (p_laguna01092014.aps)
People dissatisfied: Handi Rm02 (p_laguna01092014.aps)
People dissatisfied: King Rm01R (p_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (p_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitE_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_L/D (p_laguna01092014.aps)
People dissatisfied: UnitD1_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitE_Lounge (p_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitF_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_L/D (p_laguna01092014.aps)
People dissatisfied: UnitB_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitA_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_Bed Room (p_laguna01092014.aps)
People dissatisfied: UnitF_L/D (p_laguna01092014.aps)
People dissatisfied: UnitE_BedRoom (p_laguna01092014.aps)
People dissatisfied: UnitB_L/D (p_laguna01092014.aps)
People dissatisfied: UnitF_L/D (p_laguna01092014.aps)
People dissatisfied: UnitA_L/D (p_laguna01092014.aps)
People dissatisfied: UnitA_L/D (p_laguna01092014.aps)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
Percentage (%)
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
5.00
02:30,15/Jan
11:30,18/Feb
06:30,03/Jan
20:30,10/Feb
04:30,11/Jan
13:30,11/Jan
22:30,09/Feb
16:30,16/Jan
18:30,03/Jan
06:30,06/Jan
23:30,08/Feb
04:30,03/Feb
22:30,10/Feb
21:30,09/Mar
01:30,13/Jan
03:30,13/Apr
17:30,15/Feb
18:30,26/Feb
18:30,14/Feb
16:30,16/Jan
10:30,07/Jan
15:30,20/Jan
08:30,22/Jan
00:30,12/Feb
21:30,10/Feb
11:30,22/Jan
6.70
6.54
8.40
7.50
6.65
6.47
6.73
6.45
6.49
6.65
6.43
9.00
7.99
11.00
7.18
8.39
6.82
6.94
6.72
7.95
6.43
8.53
6.69
6.81
6.58
6.40
15:30,07/Aug
11:30,18/Jul
12:30,23/Dec
09:30,21/Aug
11:30,18/Jul
16:30,09/Aug
16:30,11/Aug
20:30,21/Jul
17:30,20/Jul
16:30,07/Sep
16:30,03/Aug
13:30,27/Nov
13:30,27/Nov
10:30,25/Nov
12:30,27/Nov
09:30,04/Jul
08:30,06/Aug
08:30,20/Jul
08:30,19/Jul
09:30,12/Aug
20:30,21/Jul
15:30,06/Aug
09:30,17/Jul
12:30,27/Nov
08:30,12/Aug
08:30,12/Aug
5.24
5.47
5.57
5.38
5.46
5.33
5.41
5.36
5.33
5.40
5.36
5.95
5.64
6.18
5.62
5.50
5.33
5.39
5.33
5.59
5.40
5.64
5.58
5.49
5.34
5.27
Table F.11: Proposed case model; CO2 based DCV; Predicted mean vote
Var. Name
Predicted mean vote: Rest Service Area (p_laguna01092014.aps)
Predicted mean vote: UPS Room (p_laguna01092014.aps)
Predicted mean vote: CCTV_SecurityRoom (p_laguna01092014.aps)
Predicted mean vote: Director_Finance_Room (p_laguna01092014.aps)
Predicted mean vote: Revenue_Mgr (p_laguna01092014.aps)
Predicted mean vote: Finance_Deptt (p_laguna01092014.aps)
Predicted mean vote: Director_Sales_Mark (p_laguna01092014.aps)
Predicted mean vote: Reservations_Deptt (p_laguna01092014.aps)
Predicted mean vote: Human_res_Deptt (p_laguna01092014.aps)
Predicted mean vote: Director_HR_Develop (p_laguna01092014.aps)
Predicted mean vote: GM_Execut_Assistant (p_laguna01092014.aps)
Predicted mean vote: GM (p_laguna01092014.aps)
Predicted mean vote: Meeting_Rm4 (p_laguna01092014.aps)
P a g e | 232
Type
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Min. Val.
-0.18
-0.20
-0.20
-0.21
-0.22
-0.20
-0.21
-0.19
-0.21
-0.21
-0.23
-0.23
-0.25
Min. Time
04:30,29/Jan
05:30,10/Dec
05:30,10/Dec
05:30,10/Dec
05:30,10/Dec
05:30,10/Dec
06:30,10/Dec
02:30,11/Dec
05:30,10/Dec
01:30,10/Dec
03:30,10/Dec
06:30,10/Dec
05:30,10/Dec
Max. Val. Max. Time
0.30
08:30,16/Jul
0.28
08:30,30/Jul
0.30
08:30,30/Jul
0.28
08:30,12/Aug
0.37
13:30,04/Nov
0.33
08:30,12/Aug
0.55
14:30,03/Nov
0.45
15:30,06/Aug
0.30
08:30,01/Sep
0.31
08:30,01/Sep
0.31
08:30,19/Aug
0.41
13:30,08/Oct
0.51
16:30,05/May
Mean
0.12
0.10
0.11
0.09
0.13
0.12
0.17
0.12
0.12
0.12
0.12
0.16
0.11
Predicted mean vote: Wellness_Center_Mgr (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm2 (p_laguna01092014.aps)
Predicted mean vote: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
Predicted mean vote: Secretary-Mngr_Off (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm4 (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm5 (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm6 (p_laguna01092014.aps)
Predicted mean vote: Mens_Locker_Rm6 (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm7 (p_laguna01092014.aps)
Predicted mean vote: Residents_Club (p_laguna01092014.aps)
Predicted mean vote: Meeting_Rm3 (p_laguna01092014.aps)
Predicted mean vote: Busines_Center (p_laguna01092014.aps)
Predicted mean vote: Womens_Locker (p_laguna01092014.aps)
Predicted mean vote: Meeting_Rm1 (p_laguna01092014.aps)
Predicted mean vote: Meeting_Rm2 (p_laguna01092014.aps)
Predicted mean vote: Members_Club (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm3 (p_laguna01092014.aps)
Predicted mean vote: Treatment_Rm1 (p_laguna01092014.aps)
Predicted mean vote: Private_Dining (p_laguna01092014.aps)
Predicted mean vote: Deboxing_Cleaning (p_laguna01092014.aps)
Predicted mean vote: Purchasing_Receiving_Off (p_laguna01092014.aps)
Predicted mean vote: Private_Dining2 (p_laguna01092014.aps)
Predicted mean vote: Housekeeping_Deptt (p_laguna01092014.aps)
Predicted mean vote: Front_Office_Mgr (p_laguna01092014.aps)
Predicted mean vote: Exec_Asstt_Mgr (p_laguna01092014.aps)
Predicted mean vote: Apartment_Lobby (p_laguna01092014.aps)
Predicted mean vote: Guest_Relation (p_laguna01092014.aps)
Predicted mean vote: Isolation_Rm (p_laguna01092014.aps)
Predicted mean vote: Coffee_Shop (p_laguna01092014.aps)
Predicted mean vote: Room Service Setup (p_laguna01092014.aps)
Predicted mean vote: HouseKeeping (p_laguna01092014.aps)
Predicted mean vote: WaitStation (p_laguna01092014.aps)
Predicted mean vote: Diniing Area (p_laguna01092014.aps)
Predicted mean vote: Room Service (p_laguna01092014.aps)
Predicted mean vote: Chief_Acctt (p_laguna01092014.aps)
Predicted mean vote: Restaurant (p_laguna01092014.aps)
Predicted mean vote: Reception (p_laguna01092014.aps)
Predicted mean vote: Hotel Lift_Lobby (p_laguna01092014.aps)
Predicted mean vote: Dining area (p_laguna01092014.aps)
Predicted mean vote: Hotel_Lobby (p_laguna01092014.aps)
Predicted mean vote: Safe_Rm (p_laguna01092014.aps)
Predicted mean vote: Restaurant (p_laguna01092014.aps)
Predicted mean vote: Male_Toilet_Locker Rm (p_laguna01092014.aps)
Predicted mean vote: Female_Toilet_Locker (p_laguna01092014.aps)
Predicted mean vote: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
Predicted mean vote: House Keep Room (p_laguna01092014.aps)
Predicted mean vote: S1-TypVIIA L/D (p_laguna01092014.aps)
Predicted mean vote: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
Predicted mean vote: King Rm01 (p_laguna01092014.aps)
P a g e | 233
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
-0.20
-0.22
-0.14
-0.17
-0.22
-0.21
-0.21
-0.24
-0.20
-0.22
-0.21
-0.23
-0.25
-0.21
-0.22
-0.19
-0.21
-0.21
-0.19
-0.21
-0.25
-0.19
-0.17
-0.23
-0.25
-0.25
-0.22
-0.21
-0.22
-0.18
-0.23
-0.19
-0.19
-0.21
-0.22
-0.16
-0.20
-0.23
-0.16
-0.23
-0.23
-0.22
-0.26
-0.25
-0.21
-0.20
-0.16
-0.20
-0.13
05:30,10/Dec
06:30,10/Feb
06:30,10/Dec
05:30,10/Dec
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
05:30,10/Dec
06:30,10/Dec
05:30,10/Dec
05:30,10/Dec
04:30,10/Dec
06:30,16/Jan
02:30,10/Dec
05:30,10/Dec
04:30,10/Dec
06:30,10/Feb
06:30,10/Feb
05:30,28/Feb
05:30,10/Dec
06:30,10/Dec
05:30,10/Dec
05:30,10/Dec
06:30,10/Dec
06:30,10/Dec
06:30,10/Dec
05:30,10/Dec
02:30,10/Feb
05:30,21/Jan
05:30,10/Dec
05:30,10/Dec
05:30,10/Dec
05:30,11/Dec
05:30,10/Dec
04:30,10/Dec
05:30,10/Dec
06:30,10/Dec
05:30,10/Dec
05:30,28/Feb
06:30,16/Jan
05:30,10/Dec
05:30,10/Dec
07:30,16/Jan
07:30,16/Jan
03:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
0.28
0.35
0.31
0.26
0.12
0.11
0.18
0.10
0.16
0.27
0.28
0.29
0.12
0.44
0.49
0.20
0.33
0.34
0.26
0.29
0.61
0.54
0.31
0.51
0.45
0.39
0.26
0.32
0.35
0.30
0.25
0.31
0.34
0.26
0.27
0.51
0.24
0.18
0.37
0.34
0.28
0.50
0.11
0.12
0.52
0.27
0.35
0.62
0.38
08:30,20/Jul
09:30,07/Sep
08:30,19/Jul
08:30,04/Aug
14:30,04/Aug
15:30,23/Sep
11:30,05/Jul
15:30,12/Aug
11:30,23/Jun
15:30,06/Aug
13:30,07/Jul
08:30,19/Aug
15:30,27/Jul
13:30,23/Dec
15:30,03/Sep
14:30,27/Jul
10:30,04/Aug
09:30,12/Aug
16:30,21/Jul
08:30,12/Aug
15:30,06/Aug
12:30,23/Dec
08:30,12/Aug
15:30,04/May
15:30,27/Aug
13:30,07/Jul
08:30,16/Jul
08:30,30/Jul
16:30,29/Jul
08:30,12/Aug
13:30,13/Aug
08:30,03/Aug
10:30,26/Aug
11:30,07/Sep
08:30,12/Aug
10:30,26/Aug
16:30,06/Aug
13:30,01/Aug
10:30,26/Aug
15:30,06/Aug
08:30,03/Aug
10:30,26/Aug
15:30,04/Aug
15:30,06/Aug
09:30,16/Jun
08:30,12/Aug
09:30,07/Sep
10:30,28/Oct
12:30,23/Dec
0.09
0.06
0.13
0.09
-0.00
-0.00
0.01
-0.02
0.02
0.08
0.06
0.11
-0.01
0.11
0.13
0.05
0.06
0.06
0.11
0.10
0.15
0.16
0.10
0.10
0.12
0.12
0.08
0.10
0.12
0.10
0.08
0.11
0.14
0.09
0.08
0.18
0.10
0.04
0.15
0.08
0.12
0.16
-0.01
-0.01
0.13
0.09
0.10
0.18
0.14
Predicted mean vote: King Rm (p_laguna01092014.aps)
Predicted mean vote: Twin Room (p_laguna01092014.aps)
Predicted mean vote: Handi Rm02R (p_laguna01092014.aps)
Predicted mean vote: S4-TypVIIB L/D (p_laguna01092014.aps)
Predicted mean vote: S4-TypVIIA BRm (p_laguna01092014.aps)
Predicted mean vote: King Rm09 (p_laguna01092014.aps)
Predicted mean vote: King Rm08 (p_laguna01092014.aps)
Predicted mean vote: S3-TypVIIB L/D (p_laguna01092014.aps)
Predicted mean vote: King Rm01 (p_laguna01092014.aps)
Predicted mean vote: Twin Room01 (p_laguna01092014.aps)
Predicted mean vote: Twin Room01R (p_laguna01092014.aps)
Predicted mean vote: King Rm02R (p_laguna01092014.aps)
Predicted mean vote: S2-TypVIIA L/D (p_laguna01092014.aps)
Predicted mean vote: King Rm01R (p_laguna01092014.aps)
Predicted mean vote: King Rm02 (p_laguna01092014.aps)
Predicted mean vote: Twin Room (p_laguna01092014.aps)
Predicted mean vote: Twin Room (p_laguna01092014.aps)
Predicted mean vote: S3-TypVIIB BRm (p_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (p_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitE_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitE_Lounge (p_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (p_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (p_laguna01092014.aps)
Predicted mean vote: King Rm05 (p_laguna01092014.aps)
Predicted mean vote: King Rm05R (p_laguna01092014.aps)
Predicted mean vote: King Rm07 (p_laguna01092014.aps)
Predicted mean vote: King Rm06 (p_laguna01092014.aps)
Predicted mean vote: Handi Rm02 (p_laguna01092014.aps)
Predicted mean vote: King Rm01R (p_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (p_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitE_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (p_laguna01092014.aps)
P a g e | 234
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
-0.12
-0.12
-0.12
-0.15
-0.18
-0.17
-0.17
-0.17
-0.16
-0.16
-0.16
-0.15
-0.16
-0.16
-0.13
-0.17
-0.17
-0.19
-0.16
-0.18
-0.15
-0.15
-0.14
-0.14
-0.14
-0.13
-0.16
-0.12
-0.18
-0.13
-0.17
-0.15
-0.16
-0.15
-0.21
-0.15
-0.20
-0.17
-0.11
-0.16
-0.16
-0.16
-0.16
-0.16
-0.14
-0.16
-0.17
-0.16
-0.15
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
06:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
0.36
0.36
0.33
0.34
0.51
0.36
0.37
0.33
0.26
0.26
0.27
0.26
0.33
0.27
0.36
0.30
0.37
0.32
0.33
0.26
0.25
0.27
0.25
0.25
0.27
0.25
0.43
0.39
0.53
0.33
0.39
0.28
0.29
0.26
0.35
0.25
0.39
0.26
0.29
0.25
0.28
0.29
0.29
0.27
0.40
0.35
0.28
0.27
0.29
12:30,27/Nov
12:30,27/Nov
12:30,27/Nov
15:30,04/May
13:30,27/Nov
15:30,25/Jul
15:30,28/Aug
15:30,25/Jul
10:30,18/Jul
11:30,18/Jul
10:30,18/Jul
11:30,18/Jul
09:30,04/Jul
09:30,17/Jul
12:30,27/Nov
08:30,12/Aug
09:30,29/May
12:30,07/Jul
09:30,07/Sep
10:30,17/Jul
16:30,04/Aug
16:30,07/Sep
20:30,21/Jul
20:30,16/Aug
16:30,07/Sep
16:30,07/Sep
12:30,27/Nov
12:30,23/Dec
10:30,28/Oct
12:30,27/Nov
09:30,12/Sep
08:30,12/Aug
08:30,01/Aug
08:30,12/Aug
09:30,12/Aug
20:30,19/Jul
15:30,06/Aug
10:30,18/Jul
12:30,27/Nov
08:30,12/Aug
09:30,04/Jul
15:30,25/Jul
15:30,07/Aug
11:30,18/Jul
12:30,23/Dec
09:30,21/Aug
11:30,18/Jul
16:30,09/Aug
16:30,11/Aug
0.14
0.14
0.13
0.10
0.18
0.08
0.08
0.09
0.12
0.12
0.12
0.12
0.09
0.12
0.14
0.08
0.09
0.13
0.09
0.11
0.09
0.10
0.10
0.10
0.10
0.10
0.16
0.13
0.18
0.14
0.11
0.09
0.09
0.09
0.11
0.10
0.12
0.13
0.13
0.08
0.08
0.08
0.08
0.12
0.13
0.10
0.12
0.10
0.11
Predicted mean vote: UnitD1_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitD1_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitE_Lounge (p_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitF_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitB_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitA_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_Bed Room (p_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitE_BedRoom (p_laguna01092014.aps)
Predicted mean vote: UnitB_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitF_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitA_L/D (p_laguna01092014.aps)
Predicted mean vote: UnitA_L/D (p_laguna01092014.aps)
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
Predicted mean vote
-0.15
-0.16
-0.15
-0.15
-0.17
-0.13
-0.18
-0.14
-0.17
-0.16
-0.17
-0.16
-0.21
-0.16
-0.20
-0.18
-0.13
-0.17
-0.16
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
05:30,10/Dec
04:30,10/Dec
03:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
04:30,10/Dec
0.26
0.27
0.28
0.26
0.44
0.38
0.54
0.32
0.40
0.30
0.31
0.29
0.38
0.26
0.41
0.28
0.30
0.28
0.26
20:30,21/Jul
17:30,20/Jul
16:30,07/Sep
16:30,03/Aug
13:30,27/Nov
13:30,27/Nov
10:30,25/Nov
12:30,27/Nov
09:30,04/Jul
08:30,06/Aug
08:30,20/Jul
08:30,19/Jul
09:30,12/Aug
20:30,21/Jul
15:30,06/Aug
09:30,17/Jul
12:30,27/Nov
08:30,12/Aug
08:30,12/Aug
0.10
0.09
0.11
0.10
0.17
0.15
0.19
0.15
0.12
0.10
0.10
0.09
0.12
0.11
0.13
0.13
0.13
0.09
0.09
Max. Time
09:30,01/Mar
08:30,22/Feb
14:30,01/Jan
09:30,15/Mar
10:30,01/Jan
11:30,01/Jan
14:30,07/Jan
14:30,01/Jan
15:30,24/Mar
08:30,26/Mar
08:30,25/Mar
11:30,01/Jan
16:30,04/May
09:30,11/Feb
09:30,08/Feb
09:30,01/Jan
10:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Mean
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Table F.12: Proposed case model; CO2 based DCV- Comfort Index
Var. Name
Comfort index: Rest Service Area (p_laguna01092014.aps)
Comfort index: UPS Room (p_laguna01092014.aps)
Comfort index: CCTV_SecurityRoom (p_laguna01092014.aps)
Comfort index: Director_Finance_Room (p_laguna01092014.aps)
Comfort index: Revenue_Mgr (p_laguna01092014.aps)
Comfort index: Finance_Deptt (p_laguna01092014.aps)
Comfort index: Director_Sales_Mark (p_laguna01092014.aps)
Comfort index: Reservations_Deptt (p_laguna01092014.aps)
Comfort index: Human_res_Deptt (p_laguna01092014.aps)
Comfort index: Director_HR_Develop (p_laguna01092014.aps)
Comfort index: GM_Execut_Assistant (p_laguna01092014.aps)
Comfort index: GM (p_laguna01092014.aps)
Comfort index: Meeting_Rm4 (p_laguna01092014.aps)
Comfort index: Wellness_Center_Mgr (p_laguna01092014.aps)
Comfort index: Treatment_Rm2 (p_laguna01092014.aps)
Comfort index: Sales_Secretary_Mgr_Off (p_laguna01092014.aps)
Comfort index: Secretary-Mngr_Off (p_laguna01092014.aps)
Comfort index: Treatment_Rm4 (p_laguna01092014.aps)
Comfort index: Treatment_Rm5 (p_laguna01092014.aps)
Comfort index: Treatment_Rm6 (p_laguna01092014.aps)
P a g e | 235
Type
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Min. Val.
7
6
7
6
6
7
6
7
6
6
6
6
6
6
6
7
7
6
6
6
Min. Time
00:30,01/Jan
05:30,10/Dec
00:30,01/Jan
04:30,10/Dec
05:30,21/Jan
00:30,01/Jan
05:30,10/Dec
00:30,01/Jan
03:30,10/Feb
01:30,10/Dec
03:30,10/Feb
03:30,10/Dec
04:30,21/Jan
01:30,10/Dec
04:30,10/Feb
00:30,01/Jan
00:30,01/Jan
05:30,10/Feb
05:30,10/Feb
05:30,10/Dec
Max. Val.
8
8
8
8
8
8
9
8
8
8
8
8
9
8
8
8
8
7
7
7
Comfort index: Mens_Locker_Rm6 (p_laguna01092014.aps)
Comfort index: Treatment_Rm7 (p_laguna01092014.aps)
Comfort index: Residents_Club (p_laguna01092014.aps)
Comfort index: Meeting_Rm3 (p_laguna01092014.aps)
Comfort index: Busines_Center (p_laguna01092014.aps)
Comfort index: Womens_Locker (p_laguna01092014.aps)
Comfort index: Meeting_Rm1 (p_laguna01092014.aps)
Comfort index: Meeting_Rm2 (p_laguna01092014.aps)
Comfort index: Members_Club (p_laguna01092014.aps)
Comfort index: Treatment_Rm3 (p_laguna01092014.aps)
Comfort index: Treatment_Rm1 (p_laguna01092014.aps)
Comfort index: Private_Dining (p_laguna01092014.aps)
Comfort index: Deboxing_Cleaning (p_laguna01092014.aps)
Comfort index: Purchasing_Receiving_Off (p_laguna01092014.aps)
Comfort index: Private_Dining2 (p_laguna01092014.aps)
Comfort index: Housekeeping_Deptt (p_laguna01092014.aps)
Comfort index: Front_Office_Mgr (p_laguna01092014.aps)
Comfort index: Exec_Asstt_Mgr (p_laguna01092014.aps)
Comfort index: Apartment_Lobby (p_laguna01092014.aps)
Comfort index: Guest_Relation (p_laguna01092014.aps)
Comfort index: Isolation_Rm (p_laguna01092014.aps)
Comfort index: Coffee_Shop (p_laguna01092014.aps)
Comfort index: Room Service Setup (p_laguna01092014.aps)
Comfort index: HouseKeeping (p_laguna01092014.aps)
Comfort index: WaitStation (p_laguna01092014.aps)
Comfort index: Diniing Area (p_laguna01092014.aps)
Comfort index: Room Service (p_laguna01092014.aps)
Comfort index: Chief_Acctt (p_laguna01092014.aps)
Comfort index: Restaurant (p_laguna01092014.aps)
Comfort index: Reception (p_laguna01092014.aps)
Comfort index: Hotel Lift_Lobby (p_laguna01092014.aps)
Comfort index: Dining area (p_laguna01092014.aps)
Comfort index: Hotel_Lobby (p_laguna01092014.aps)
Comfort index: Safe_Rm (p_laguna01092014.aps)
Comfort index: Restaurant (p_laguna01092014.aps)
Comfort index: Male_Toilet_Locker Rm (p_laguna01092014.aps)
Comfort index: Female_Toilet_Locker (p_laguna01092014.aps)
Comfort index: Suit 2 TypVIIA B Room (p_laguna01092014.aps)
Comfort index: House Keep Room (p_laguna01092014.aps)
Comfort index: S1-TypVIIA L/D (p_laguna01092014.aps)
Comfort index: Suit 2 TypVIIA B Rm (p_laguna01092014.aps)
Comfort index: King Rm01 (p_laguna01092014.aps)
Comfort index: King Rm (p_laguna01092014.aps)
Comfort index: Twin Room (p_laguna01092014.aps)
Comfort index: Handi Rm02R (p_laguna01092014.aps)
Comfort index: S4-TypVIIB L/D (p_laguna01092014.aps)
Comfort index: S4-TypVIIA BRm (p_laguna01092014.aps)
Comfort index: King Rm09 (p_laguna01092014.aps)
Comfort index: King Rm08 (p_laguna01092014.aps)
P a g e | 236
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
6
6
6
6
6
6
6
6
7
6
6
7
6
6
7
7
6
6
6
6
6
6
7
6
7
7
6
6
7
6
6
7
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
05:30,16/Jan
06:30,10/Dec
07:30,16/Jan
04:30,10/Dec
04:30,21/Jan
04:30,16/Jan
02:30,10/Dec
05:30,05/Feb
00:30,01/Jan
05:30,10/Feb
06:30,10/Feb
00:30,01/Jan
04:30,10/Dec
04:30,21/Jan
00:30,01/Jan
00:30,01/Jan
05:30,21/Jan
04:30,21/Jan
06:30,16/Jan
05:30,21/Jan
02:30,10/Feb
05:30,21/Jan
00:30,01/Jan
07:30,16/Jan
00:30,01/Jan
00:30,01/Jan
04:30,10/Dec
04:30,21/Jan
00:30,01/Jan
06:30,10/Dec
06:30,16/Jan
00:30,01/Jan
05:30,16/Jan
05:30,16/Jan
06:30,16/Jan
04:30,16/Jan
04:30,16/Jan
03:30,10/Dec
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
7
7
8
8
8
7
8
8
8
8
8
8
8
9
9
8
9
8
8
8
8
8
8
8
8
8
8
8
9
8
7
8
8
8
8
7
7
9
8
8
9
8
8
8
8
8
9
8
8
00:30,01/Jan
00:30,01/Jan
11:30,01/Jan
13:30,24/Mar
13:30,01/Jan
00:30,01/Jan
09:30,01/Jan
10:30,01/Jan
13:30,23/Jul
09:30,12/Feb
09:30,22/Feb
10:30,25/Mar
15:30,15/Mar
15:30,12/Apr
12:30,27/Oct
11:30,01/Jan
15:30,04/May
15:30,15/Jan
11:30,01/Jan
08:30,16/Mar
11:30,16/Mar
16:30,28/Feb
11:30,01/Jan
09:30,01/Mar
13:30,15/Mar
10:30,01/Jan
08:30,24/Mar
16:30,15/Mar
10:30,23/Jul
10:30,01/Jan
00:30,01/Jan
10:30,01/Jan
16:30,16/Feb
11:30,01/Jan
10:30,01/Jan
00:30,01/Jan
00:30,01/Jan
09:30,16/Jun
11:30,01/Jan
09:30,01/Jan
10:30,01/Jan
09:30,01/Jan
10:30,01/Jan
10:30,01/Jan
10:30,01/Jan
15:30,01/Jan
11:30,25/Nov
16:30,20/Feb
16:30,20/Feb
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Comfort index: S3-TypVIIB L/D (p_laguna01092014.aps)
Comfort index: King Rm01 (p_laguna01092014.aps)
Comfort index: Twin Room01 (p_laguna01092014.aps)
Comfort index: Twin Room01R (p_laguna01092014.aps)
Comfort index: King Rm02R (p_laguna01092014.aps)
Comfort index: S2-TypVIIA L/D (p_laguna01092014.aps)
Comfort index: King Rm01R (p_laguna01092014.aps)
Comfort index: King Rm02 (p_laguna01092014.aps)
Comfort index: Twin Room (p_laguna01092014.aps)
Comfort index: Twin Room (p_laguna01092014.aps)
Comfort index: S3-TypVIIB BRm (p_laguna01092014.aps)
Comfort index: UnitB_Bed Room (p_laguna01092014.aps)
Comfort index: UnitF_BedRoom (p_laguna01092014.aps)
Comfort index: UnitE_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (p_laguna01092014.aps)
Comfort index: UnitD1_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (p_laguna01092014.aps)
Comfort index: UnitE_Lounge (p_laguna01092014.aps)
Comfort index: UnitE_BedRoom (p_laguna01092014.aps)
Comfort index: UnitF_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_L/D (p_laguna01092014.aps)
Comfort index: UnitB_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_Bed Room (p_laguna01092014.aps)
Comfort index: UnitF_L/D (p_laguna01092014.aps)
Comfort index: UnitE_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_L/D (p_laguna01092014.aps)
Comfort index: UnitF_L/D (p_laguna01092014.aps)
Comfort index: King Rm05 (p_laguna01092014.aps)
Comfort index: King Rm05R (p_laguna01092014.aps)
Comfort index: King Rm07 (p_laguna01092014.aps)
Comfort index: King Rm06 (p_laguna01092014.aps)
Comfort index: Handi Rm02 (p_laguna01092014.aps)
Comfort index: King Rm01R (p_laguna01092014.aps)
Comfort index: UnitB_Bed Room (p_laguna01092014.aps)
Comfort index: UnitF_BedRoom (p_laguna01092014.aps)
Comfort index: UnitE_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (p_laguna01092014.aps)
Comfort index: UnitD1_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_L/D (p_laguna01092014.aps)
Comfort index: UnitD1_BedRoom (p_laguna01092014.aps)
Comfort index: UnitE_Lounge (p_laguna01092014.aps)
Comfort index: UnitE_BedRoom (p_laguna01092014.aps)
Comfort index: UnitF_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_BedRoom (p_laguna01092014.aps)
P a g e | 237
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
04:30,10/Dec
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
9
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
9
16:30,20/Feb
12:30,16/Mar
20:30,23/Mar
20:30,23/Mar
20:30,23/Mar
09:30,13/Feb
13:30,21/Feb
10:30,01/Jan
09:30,23/Mar
09:30,13/Feb
13:30,21/Feb
09:30,06/Feb
12:30,24/Mar
17:30,23/Mar
17:30,12/Mar
17:30,15/Mar
17:30,23/Mar
17:30,12/Mar
16:30,15/Mar
10:30,01/Jan
09:30,01/Jan
10:30,10/Oct
09:30,01/Jan
09:30,01/Jan
09:30,13/Feb
09:30,13/Feb
09:30,23/Mar
09:30,12/Mar
20:30,24/Mar
15:30,20/Feb
13:30,21/Feb
10:30,01/Jan
08:30,06/Apr
10:30,14/Mar
16:30,09/Mar
16:30,20/Feb
20:30,23/Mar
09:30,01/Jan
09:30,13/Feb
13:30,24/Mar
17:30,23/Apr
17:30,15/Mar
20:30,13/Apr
20:30,13/Apr
17:30,15/Mar
20:30,22/Apr
10:30,01/Jan
09:30,01/Jan
10:30,09/Oct
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
Comfort index: UnitB_L/D (p_laguna01092014.aps)
Comfort index: UnitB_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitA_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_Bed Room (p_laguna01092014.aps)
Comfort index: UnitF_L/D (p_laguna01092014.aps)
Comfort index: UnitE_BedRoom (p_laguna01092014.aps)
Comfort index: UnitB_L/D (p_laguna01092014.aps)
Comfort index: UnitF_L/D (p_laguna01092014.aps)
Comfort index: UnitA_L/D (p_laguna01092014.aps)
Comfort index: UnitA_L/D (p_laguna01092014.aps)
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
Comfort index
7
7
7
7
7
6
7
7
7
7
7
7
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
04:30,10/Dec
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
00:30,01/Jan
8
8
8
8
8
8
8
8
8
8
8
8
10:30,01/Jan
09:30,01/Jan
08:30,23/Mar
09:30,23/Mar
08:30,24/Mar
09:30,12/Mar
20:30,13/Apr
16:30,20/Feb
21:30,23/Mar
10:30,01/Jan
09:30,14/Apr
09:30,24/Mar
7
7
7
7
7
7
7
7
7
7
7
7
Table F.13: Baseline Case Model-ASHRAE standard 62.1-2010 with Constant Air Volume (CAV)
Var. Name
Room CO2 concentration: Meeting_Rm4 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Meeting_Rm3 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Meeting_Rm1 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Meeting_Rm2 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Private_Dining (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Private_Dining2 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Diniing Area (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Restaurant (b[270]_laguna264_ash.aps)
Room CO2 concentration: Dining area (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Restaurant (b[270]_laguna261_ash.aps)
Room CO2 concentration: Movement_MeditGym (b[270]_laguna214sh.aps)
Room CO2 concentration: Gym (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Suit 2 TypVIIA B Room (b[270]_laa2214_ash.aps)
Room CO2 concentration: S1-TypVIIA L/D (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Suit 2 TypVIIA B Rm (b[270laguna26121_ash.aps)
Room CO2 concentration: King Rm01 (b[270]_laguna2612_sh.aps)
Room CO2 concentration: King Rm (b[270]_laguna261214ash.aps)
Room CO2 concentration: Twin Room (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Handi Rm02R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: S4-TypVIIB L/D (b[270]_laguna261214_ash.aps)
Room CO2 concentration: S4-TypVIIA BRm (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm09 (b[270]_laguna261214h.aps)
Room CO2 concentration: King Rm08 (b[270]_laguna261_ash.aps)
Room CO2 concentration: S3-TypVIIB L/D (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm01 (b[270]_laguna26121sh.aps)
Room CO2 concentration: Twin Room01 (b[270]_laguna261214_ash.aps)
P a g e | 238
Type
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
Min. Val.
360
360
360
360
360
360
360
360
360
360
360
360
535
476
531
482
493
501
491
471
517
498
503
471
485
495
Min. Time
05:30,28/Jun
05:30,12/Jul
05:30,19/Jul
05:30,28/Jun
09:30,03/Jan
09:30,25/Jul
09:30,24/Jan
09:30,10/Jan
08:30,10/Jan
09:30,31/Jan
06:30,18/Jul
06:30,01/Aug
14:30,25/Jan
14:30,04/Oct
14:30,25/Jan
14:30,19/Apr
14:30,19/Apr
14:30,19/Apr
14:30,19/Apr
14:30,28/Jun
14:30,25/Jan
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
Max. Val. Max. Time
1409
16:30,05/Mar
1412
16:30,25/Jan
1412
16:30,25/Jan
1409
16:30,05/Mar
1069
19:30,29/May
1061
19:30,19/Jun
1070
19:30,19/Jun
1087
19:30,31/Jul
1088
19:30,17/Jul
1064
19:30,24/Apr
1192
16:30,25/Jan
1192
16:30,15/Apr
1091
05:30,08/Jul
858
05:30,08/Jun
1064
05:30,15/Jul
866
05:30,17/Jul
909
05:30,17/Jul
948
05:30,17/Jul
909
05:30,17/Jul
830
05:30,17/Jul
1001
05:30,17/Jul
948
05:30,17/Jul
973
05:30,17/Jul
830
05:30,14/Jul
879
05:30,08/Jul
924
05:30,08/Jul
Mean
682
684
679
679
615
615
615
616
616
615
672
672
827
678
814
685
713
737
712
661
774
737
753
661
692
720
Room CO2 concentration: Twin Room01R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm02R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: S2-TypVIIA L/D (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm01R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm02 (b[270]_laguna261214_aps)
Room CO2 concentration: Twin Room (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Twin Room (b[270]_laguna261214_ash.aps)
Room CO2 concentration: S3-TypVIIB BRm (b[270]_laguna2614_ash.aps)
Room CO2 concentration: King Rm05 (b[270]_laguna261_ash.aps )
Room CO2 concentration: King Rm05R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm07 (b[270]_laguna261_ash.aps)
Room CO2 concentration: King Rm06 (b[270]_laguna264_ash.aps)
Room CO2 concentration: Handi Rm02 (b[270]_laguna261214_ash.aps)
Room CO2 concentration: King Rm01R (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Hotel Lift_Lobby (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Hotel_Lobby (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Director_Sales_Mark (b[270]_lagun614_ash.aps)
Room CO2 concentration: Reservations_Deptt (b[270]_lagun61214_ash.aps)
Room CO2 concentration: Director_HR_Develop (b[270]_lana26114_ash.aps)
Room CO2 concentration: GM_Execut_Assistant (b[270]_laa261214_ash.aps)
Room CO2 concentration: GM (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Residents_Club (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Deboxing_Cleaning (b[270]_laguna26114_ash.aps)
Room CO2 concentration: Purchasing_Receiving_Off (b[270]_61214_ash.aps)
Room CO2 concentration: Housekeeping_Deptt (b[270]_laguna214_ash.aps)
Room CO2 concentration: Front_Office_Mgr (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Exec_Asstt_Mgr (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Apartment_Lobby (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Guest_Relation (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Isolation_Rm (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Room Service Setup (b[270]_lagu61214_ash.aps)
Room CO2 concentration: HouseKeeping (b[270]_laguna261214_ash.aps)
Room CO2 concentration: WaitStation (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Room Service (b[270]_laguna261214_ash.aps)
Room CO2 concentration: Safe_Rm (b[270]_laguna261214sh.aps)
Room CO2 concentration: House Keep Room (b[270]_laguna26124_ash.aps)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
498
495
474
482
501
486
485
517
448
452
461
459
497
488
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
360
14:30,28/Jun
14:30,28/Jun
14:30,08/Jun
14:30,28/Jun
14:30,19/Apr
14:30,04/Oct
14:30,04/Oct
14:30,14/Jul
14:30,08/Jun
14:30,08/Jun
14:30,28/Jun
14:30,28/Jun
14:30,28/Jun
14:30,19/Apr
07:30,09/Jun
07:30,17/Jul
05:30,28/Jun
05:30,28/Jun
05:30,21/Jun
05:30,28/Jun
05:30,28/Jun
05:30,28/Jun
05:30,07/Jun
05:30,19/Apr
05:30,07/Jun
05:30,28/Jun
05:30,19/Jul
05:30,19/Jul
05:30,16/Aug
05:30,19/Jul
05:30,07/Jun
05:30,14/Jun
05:30,07/Jun
05:30,14/Jun
05:30,28/Jun
05:30,28/Jun
932
923
849
865
947
904
899
1004
735
751
785
779
932
888
1065
1065
1312
652
1289
1246
1042
946
1109
1346
980
1060
1095
766
1226
1342
931
1359
1161
1291
1304
1218
05:30,08/Jul
05:30,08/Jul
05:30,08/Jun
05:30,08/Jul
05:30,17/Jul
05:30,08/Jun
05:30,08/Jun
05:30,08/Jul
05:30,08/Jun
05:30,08/Jun
05:30,17/Jul
05:30,17/Jul
05:30,08/Jul
05:30,17/Jul
17:30,28/Jun
17:30,19/Apr
16:30,25/Jan
16:30,05/Mar
16:30,25/Jan
16:30,26/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,18/Feb
16:30,27/Apr
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
Table F.14: Proposed Case Model-ASHRAE standard 62.1-2010, CO2 based DCV
Var. Name
Room CO2 concentration: Meeting_Rm4 (p_laguna2614_ash.aps)
Room CO2 concentration: Meeting_Rm3 (p_laguna2214_ash.aps)
Room CO2 concentration: Meeting_Rm1 (p_laguna1214_ash.aps)
Room CO2 concentration: Meeting_Rm2 (p_laguna1214_ash.aps)
Room CO2 concentration: Private_Dining (p_lagun61214_ash.aps)
P a g e | 239
Type
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
Min. Val.
374
368
369
374
363
Min. Time
05:30,19/Jul
05:30,19/Jul
05:30,28/Jun
05:30,23/Aug
09:30,18/Jul
Max. Val. Max. Time
1409
16:30,25/Jan
1413
16:30,25/Jan
1411
16:30,05/Mar
1410
16:30,05/Mar
1084
19:30,17/Jul
Mean
772
767
768
771
699
725
720
672
683
736
707
704
772
599
610
632
628
725
699
622
622
647
451
644
631
568
544
594
670
555
579
597
495
628
668
540
668
610
648
652
623
Room CO2 concentration: Private_Dining2 (p_lagu61214_ash.aps)
Room CO2 concentration: Diniing Area (p_laguna261214_ash.aps)
Room CO2 concentration: Restaurant (p_laguna261214_ash.aps)
Room CO2 concentration: Dining area (p_laguna261214_ash.aps)
Room CO2 concentration: Restaurant (p_laguna261214_ash.aps)
Room CO2 concentration: Coffee_Shop (p_lagun1214_ash.aps)
Room CO2 concentration: Movement_MeditGym (p_l4_ash.aps)
Room CO2 concentration: Gym (p_laguna261214h.aps)
Room CO2 concentration: Suit 2 TypVIIA B Room (p_l214_ash.aps)
Room CO2 concentration: S1-TypVIIA L/D (p_laguna2612sh.aps)
Room CO2 concentration: Suit 2 TypVIIA B Rm (p_lagu14_ash.aps)
Room CO2 concentration: King Rm01 (p_laguna261214_ash.aps)
Room CO2 concentration: King Rm (p_laguna261214_ash.aps)
Room CO2 concentration: Twin Room (p_laguna261214_ash.aps)
Room CO2 concentration: Handi Rm02R (p_laguna261214h.aps)
Room CO2 concentration: S4-TypVIIB L/D (p_laguna26121sh.aps)
Room CO2 concentration: S4-TypVIIA BRm (p_laguna214_ash.aps)
Room CO2 concentration: King Rm09 (p_laguna261214_ash.aps)
Room CO2 concentration: King Rm08 (p_laguna261214_ash.aps)
Room CO2 concentration: S3-TypVIIB L/D (p_laguna2614ash.aps)
Room CO2 concentration: King Rm01 (p_laguna261214_ash.aps)
Room CO2 concentration: Twin Room01 (p_laguna2614_ash.aps)
Room CO2 concentration: Twin Room01R (p_laguna26_ash.aps)
Room CO2 concentration: King Rm02R (p_laguna26114_ash.aps)
Room CO2 concentration: S2-TypVIIA L/D (p_laguna2614_ah.aps)
Room CO2 concentration: King Rm01R (p_laguna261214_ah.aps)
Room CO2 concentration: King Rm02 (p_laguna261214_ash.aps)
Room CO2 concentration: Twin Room (p_laguna261214_ash.aps)
Room CO2 concentration: Twin Room (p_laguna261214_ash.aps)
Room CO2 concentration: S3-TypVIIB BRm (p_lag61214_ash.aps)
Room CO2 concentration: King Rm05 (p_laguna261214_ash.aps)
Room CO2 concentration: King Rm05R (p_laguna26121_ash.aps)
Room CO2 concentration: King Rm07 (p_laguna261214_ash.aps)
Room CO2 concentration: King Rm06 (p_laguna261214_ash.aps)
Room CO2 concentration: Handi Rm02 (p_laguna261214ash.aps)
Room CO2 concentration: King Rm01R (p_laguna261214_sh.aps)
Room CO2 concentration: Hotel Lift_Lobby (p_laguna1_ash.aps)
Room CO2 concentration: Hotel_Lobby (p_laguna2614_ash.aps)
Room CO2 concentration: Director_Sales_Mark (p_la14_ash.aps)
Room CO2 concentration: Reservations_Deptt (p_lagu2_ash.aps)
Room CO2 concentration: Director_HR_Develop (p_lag_ash.aps)
Room CO2 concentration: GM_Execut_Assistant (p_lan_ash.aps)
Room CO2 concentration: GM (p_laguna261214_ash.aps)
Room CO2 concentration: Residents_Club (p_laguna24_ash.aps)
Room CO2 concentration: Deboxing_Cleaning (p_laguna4sh.aps)
Room CO2 concentration: Purchasing_Receiving_Off (p_1sh.aps)
Room CO2 concentration: Housekeeping_Deptt (p_lagu4_h.aps)
Room CO2 concentration: Front_Office_Mgr (p_laguna24_h.aps)
Room CO2 concentration: Exec_Asstt_Mgr (p_laguna264_ah.aps)
P a g e | 240
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
365
361
361
361
361
363
360
368
522
516
527
516
520
524
517
514
528
523
522
517
516
519
521
518
519
515
523
519
518
521
501
504
510
509
517
521
414
363
378
368
368
368
373
360
370
387
368
380
378
09:30,27/Jun
09:30,11/Jul
09:30,28/Mar
09:30,11/Jul
09:30,11/Jul
07:30,11/Jul
06:30,25/Jul
06:30,25/Jul
14:30,26/Mar
14:30,19/Apr
14:30,19/Mar
14:30,07/Jun
14:30,05/Apr
14:30,09/Apr
14:30,21/Dec
14:30,28/Jun
14:30,05/Apr
14:30,11/Aug
14:30,26/Aug
14:30,28/Jun
14:30,15/Mar
14:30,15/Mar
14:30,08/Nov
14:30,25/Jan
14:30,19/Apr
14:30,15/Mar
14:30,21/Dec
14:30,06/Jul
14:30,05/May
14:30,23/Mar
14:30,25/Jan
14:30,25/Jan
14:30,21/Jun
14:30,12/Jul
14:30,08/Nov
14:30,24/May
07:30,11/Jul
07:30,11/Jul
05:30,27/Sep
05:30,28/Jun
05:30,19/Apr
05:30,24/May
05:30,31/May
05:30,02/Aug
05:30,28/Jun
05:30,28/Jun
05:30,19/Jul
05:30,12/Jul
05:30,02/Aug
1079
1021
1032
1059
957
875
989
1112
863
790
849
795
795
823
789
784
893
822
837
796
799
817
823
814
780
785
813
817
791
844
733
766
773
772
807
796
929
885
1313
751
1288
1246
1044
715
1115
1352
984
1059
1112
19:30,17/Jul
19:30,23/Jan
19:30,31/Jul
19:30,03/Apr
19:30,18/Dec
13:30,31/Mar
15:30,05/Oct
16:30,17/May
03:30,01/Jul
05:30,30/Mar
03:30,10/May
05:30,01/Feb
03:30,08/Mar
04:30,05/Apr
05:30,08/Mar
05:30,19/Apr
04:30,13/Feb
01:30,15/Mar
03:30,01/Mar
05:30,02/Jan
03:30,15/Dec
04:30,06/Mar
02:30,20/Dec
04:30,20/Dec
05:30,20/Nov
05:30,08/Mar
03:30,08/Mar
03:30,30/Jan
02:30,01/Mar
03:30,01/Mar
03:30,30/Nov
02:30,22/Feb
05:30,22/Dec
03:30,20/Dec
03:30,20/Dec
03:30,13/Dec
16:30,26/Jan
13:30,27/Apr
16:30,05/Mar
16:30,05/Mar
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,01/Mar
16:30,25/Jan
16:30,18/Feb
16:30,25/Jan
16:30,27/Apr
16:30,05/Mar
699
671
673
685
644
602
601
711
688
669
696
667
676
681
672
665
694
685
687
669
672
678
680
678
673
670
681
674
673
686
643
651
655
655
676
674
646
592
742
545
728
714
653
472
673
760
628
667
679
Room CO2 concentration: Apartment_Lobby (p_laguna2_ash.aps)
Room CO2 concentration: Guest_Relation (p_laguna26121h.aps)
Room CO2 concentration: Isolation_Rm (p_laguna261214sh.aps)
Room CO2 concentration: Room Service Setup (p_lagunaash.aps)
Room CO2 concentration: HouseKeeping (p_laguna221_ash.aps)
Room CO2 concentration: WaitStation (p_laguna261214ash.aps)
Room CO2 concentration: Room Service (p_laguna2612_ash.aps)
Room CO2 concentration: Safe_Rm (p_laguna261214_ash.aps)
Room CO2 concentration: House Keep Room (p_lagun4_ash.aps)
P a g e | 241
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
CO2 concentration (ppm)
370
369
371
368
364
369
369
368
366
07:30,25/Jul
05:30,28/Jun
05:30,28/Jun
05:30,19/Jul
05:30,01/Feb
05:30,31/May
05:30,28/Jun
05:30,28/Jun
05:30,28/Jun
723
1228
1356
935
878
1167
1294
1306
1218
15:30,20/Jul
16:30,25/Jan
16:30,29/Jan
16:30,25/Jan
16:30,07/Apr
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
16:30,25/Jan
520
708
750
611
551
688
729
734
705
Appendix G : Output Data; Graphical and Tabular presentation of Room Temperature, Room CO2 concentration, Air Supply and
Occupancy.
22.2
3957.004
750
300
3957.002
22.0
700
250
3957.000
21.8
650
3956.998
200
3956.996
21.2
Volume flow (l/s)
3956.994
550
3956.992
150
500
3956.990
100
3956.988
21.0
450
3956.986
50
20.8
400
3956.984
20.6
3956.982
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
Number of people peaks (+) on Sat 02/Jan for Restaurant
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
ApHVAC air supply: Restaurant (b[000]_laguna01092014.aps)
Number of people: Restaurant (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
ApHVAC air supply: Restaurant (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Min. Val.
20.70
360
3956.99
Min. Time
05:30,03/Jan
07:30,10/Jan
00:30,01/Jan
Max. Val.
22.13
741
3956.99
Max. Time
18:30,24/Jul
19:30,17/Jul
00:30,01/Jan
Mean
21.57
488
3956.99
Number of people: Restaurant (b[000]_laguna01092014.aps)
Number
0.00
03:30,01/Jan
296.77
19:30,02/Jan
97.66
Figure G.1 : Baseline; Basement level Restaurant Room temperature, CO2 concentration, Air supply and Occupancy.
P a g e | 242
0
Number
21.4
600
CO2 concentration (ppm)
Temperature (°C)
21.6
22.4
2533.520
750
200
2533.518
180
22.2
700
2533.516
160
22.0
650
2533.514
140
2533.512
21.4
Volume flow (l/s)
2533.510
550
2533.508
120
100
Number
21.6
600
CO2 concentration (ppm)
Temperature (°C)
21.8
80
500
2533.506
60
2533.504
21.2
450
40
2533.502
21.0
400
20
2533.500
20.8
2533.498
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Sat 02/Jan for Dining area
Air temperature: Dining area (b[000]_laguna01092014.aps)
Room CO2 concentration: Dining area (b[000]_laguna01092014.aps)
ApHVAC air supply: Dining area (b[000]_laguna01092014.aps)
Number of people: Dining area (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Dining area (b[000]_laguna01092014.aps)
Room CO2 concentration: Dining area (b[000]_laguna01092014.aps)
ApHVAC air supply: Dining area (b[000]_laguna01092014.aps)
Number of people: Dining area (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
20.87
360
2533.51
0.00
Min. Time
03:30,11/Mar
06:30,05/Jan
00:30,01/Jan
03:30,01/Jan
Max. Val.
22.31
741
2533.51
190.02
Max. Time
12:30,12/Apr
19:30,17/Jul
00:30,01/Jan
19:30,02/Jan
Mean
21.52
488
2533.51
62.53
Figure G.2 : Baseline case model; Constant Air Volume (CAV); Basement level Dining Area Room temperature, CO2 concentration, Air
supply and Occupancy.
P a g e | 243
22.6
2971.0
750
160
700
140
650
120
600
100
2970.5
22.4
2970.0
22.2
2969.5
22.0
2969.0
2968.5
21.2
Volume flow (l/s)
Temperature (°C)
21.4
2968.0
550
2967.5
2967.0
80
500
60
450
40
400
20
2966.5
2966.0
21.0
2965.5
20.8
2965.0
20.6
2964.5
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Sat 02/Jan for Restaurant
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
ApHVAC air supply: Restaurant (b[000]_laguna01092014.aps)
Number of people: Restaurant (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Restaurant (b[000]_laguna01092014.aps)
Room CO2 concentration: Restaurant (b[000]_laguna01092014.aps)
ApHVAC air supply: Restaurant (b[000]_laguna01092014.aps)
Number of people: Restaurant (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
20.79
360
2964.65
0.00
Min. Time
09:30,16/Jan
09:30,07/Mar
05:30,01/Jan
03:30,01/Jan
Max. Val.
22.43
732
2970.86
155.19
Max. Time
11:30,01/Jun
19:30,17/Jul
08:30,15/May
19:30,02/Jan
Mean
21.52
488
2965.56
51.07
Figure G.3 : Baseline case model; Constant Air Volume (CAV); Concourse level Restaurant Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 244
Number
21.6
CO2 concentration (ppm)
21.8
22.2
2314.256
750
130
120
2314.254
22.0
700
110
2314.252
100
21.8
650
2314.250
90
2314.248
21.2
Volume flow (l/s)
2314.246
550
2314.244
80
500
2314.242
70
60
50
40
2314.240
21.0
450
30
2314.238
20
20.8
400
2314.236
20.6
2314.234
00:00
10
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
Number of people peaks (+) on Sat 02/Jan for Diniing Area
Air temperature: Diniing Area (b[000]_laguna01092014.aps)
Room CO2 concentration: Diniing Area (b[000]_laguna01092014.aps)
ApHVAC air supply: Diniing Area (b[000]_laguna01092014.aps)
Number of people: Diniing Area (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Diniing Area (b[000]_laguna01092014.aps)
Room CO2 concentration: Diniing Area (b[000]_laguna01092014.aps)
ApHVAC air supply: Diniing Area (b[000]_laguna01092014.aps)
Number of people: Diniing Area (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
20.63
360
2314.25
0.00
Min. Time
00:30,20/Jan
07:30,02/Jan
00:30,01/Jan
03:30,01/Jan
Max. Val.
22.08
733
2314.25
124.39
Max. Time
11:30,13/Apr
19:30,17/Jul
00:30,01/Jan
19:30,02/Jan
Mean
21.54
488
2314.25
40.93
Figure G.4 : Baseline case model; Constant Air Volume (CAV); Concourse level Dining Area Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 245
0
Number
21.4
600
CO2 concentration (ppm)
Temperature (°C)
21.6
22.6
1135
800
45
750
40
700
35
650
30
1130
22.4
1125
1120
22.2
1115
Volume flow (l/s)
Temperature (°C)
21.6
600
1105
1100
550
1095
25
Number
21.8
1110
CO2 concentration (ppm)
22.0
20
500
15
450
10
400
5
1070
350
00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 00:00
0
1090
21.4
1085
1080
21.2
1075
21.0
Number of people peaks (+) on Fri 01/Jan for Hotel_Lobby
Air temperature: Hotel_Lobby (b[000]_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (b[000]_laguna01092014.aps)
ApHVAC air supply: Hotel_Lobby (b[000]_laguna01092014.aps)
Number of people: Hotel_Lobby (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Hotel_Lobby (b[000]_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (b[000]_laguna01092014.aps)
ApHVAC air supply: Hotel_Lobby (b[000]_laguna01092014.aps)
1070.44
Number of people: Hotel_Lobby (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Min. Val.
21.04
360
1070.37
Min. Time
03:30,25/Apr
07:30,07/Jan
00:30,01/Jan
Max. Val.
22.51
766
1131.38
Max. Time
16:30,10/Aug
17:30,08/Jul
16:30,29/Jul
Mean
21.60
511
Number
0.00
00:30,01/Jan
44.42
11:30,01/Jan
16.53
Figure G.5 : Baseline case model; Constant Air Volume (CAV); Concourse level Hotel Lobby Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 246
22.00
0.50
360.0010
0.50
21.90
0.40
360.0008
0.40
21.80
0.30
21.70
0.20
21.60
0.10
360.0006
0.30
360.0004
0.20
21.40
Volume flow (l/s)
0.00
359.9998
-0.10
0.10
Number
21.50
360.0000
CO2 concentration (ppm)
Temperature (°C)
360.0002
0.00
-0.10
359.9996
21.30
-0.20
-0.20
359.9994
21.20
-0.30
-0.30
359.9992
21.10
-0.40
21.00
-0.50
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
359.9990
-0.40
359.9988
00:00
-0.50
Number of people peaks (+) on Fri 01/Jan for Main corridor
Air temperature: Main corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: Main corridor (b[000]_laguna01092014.aps)
ApHVAC air supply: Main corridor (b[000]_laguna01092014.aps)
Number of people: Main corridor (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Main corridor (b[000]_laguna01092014.aps)
Room CO2 concentration: Main corridor (b[000]_laguna01092014.aps)
ApHVAC air supply: Main corridor (b[000]_laguna01092014.aps)
Number of people: Main corridor (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.00
360
0.00
0.00
Min. Time
00:30,01/Jan
01:30,01/Jan
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.00
360
0.00
0.00
Max. Time
10:30,01/Jan
04:30,02/Jan
00:30,01/Jan
00:30,01/Jan
Mean
21.81
360
0.00
0.00
Figure G.6 : Baseline case model; Constant Air Volume (CAV); Concourse level Main Corridor Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 247
22.20
354.1942
360.0012
22.10
354.1940
360.0010
22.00
354.1938
360.0008
21.90
354.1936
360.0006
21.80
354.1934
360.0004
21.70
354.1932
360.0002
354.1930
360.0000
21.50
354.1928
359.9998
21.40
354.1926
359.9996
21.30
354.1924
359.9994
21.20
354.1922
359.9992
21.10
354.1920
359.9990
21.00
354.1918
00:00
0.50
0.40
0.30
Volume flow (l/s)
0.10
0.00
-0.10
-0.20
-0.30
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
359.9988
00:00
-0.40
-0.50
Air temperature (°C) peaks (+) on Sat 27/Feb for Indian_Kitchen_Tandoori
Air temperature: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Room CO2 concentration: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
ApHVAC air supply: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Number of people: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Room CO2 concentration: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
ApHVAC air supply: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Number of people: Indian_Kitchen_Tandoori (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
360
354.19
0.00
Min. Time
14:30,05/Dec
11:30,02/Jan
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.10
360
354.19
0.00
Max. Time
11:30,27/Feb
16:30,07/Jan
00:30,01/Jan
00:30,01/Jan
Figure G.7 : Baseline; Concourse level Indian Kitchen Tandoori, Room temperature, CO2 concentration, Air supply and Occupancy
P a g e | 248
Mean
21.55
360
354.19
0.00
Number
21.60
CO2 concentration (ppm)
Temperature (°C)
0.20
22.30
350
700
18
22.20
340
16
650
22.10
330
22.00
14
600
21.90
320
12
Volume flow (l/s)
Temperature (°C)
21.60
550
310
300
500
21.50
290
8
6
21.40
21.30
10
Number
21.70
CO2 concentration (ppm)
21.80
450
280
4
21.20
400
270
2
21.10
21.00
260
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Fri 01/Jan for Meeting_Rm3
Air temperature: Meeting_Rm3 (b[000]_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm3 (b[000]_laguna01092014.aps)
ApHVAC air supply: Meeting_Rm3 (b[000]_laguna01092014.aps)
Number of people: Meeting_Rm3 (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Meeting_Rm3 (b[000]_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm3 (b[000]_laguna01092014.aps)
ApHVAC air supply: Meeting_Rm3 (b[000]_laguna01092014.aps)
Number of people: Meeting_Rm3 (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
360
269.19
0.00
Min. Time
15:30,22/May
02:30,07/Mar
19:30,01/Jan
00:30,01/Jan
Max. Val.
22.22
684
346.89
16.12
Max. Time
08:30,29/Jun
16:30,28/Jun
20:30,07/Sep
08:30,01/Jan
Mean
21.71
459
339.11
4.91
Figure G.8 : Baseline case model; Constant Air Volume (CAV); First Floor level Meeting Room3, Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 249
22.6
902.6518
750
13
12
902.6516
22.4
700
11
902.6514
10
22.2
650
902.6512
9
902.6510
21.6
Volume flow (l/s)
902.6508
550
902.6506
8
500
902.6504
7
6
Number
21.8
600
CO2 concentration (ppm)
Temperature (°C)
22.0
5
4
902.6502
21.4
450
3
902.6500
2
21.2
400
902.6498
21.0
902.6496
00:00
1
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Fri 01/Jan for Gym
Air temperature: Gym (b[000]_laguna01092014.aps)
Room CO2 concentration: Gym (b[000]_laguna01092014.aps)
ApHVAC air supply: Gym (b[000]_laguna01092014.aps)
Number of people: Gym (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Gym (b[000]_laguna01092014.aps)
Room CO2 concentration: Gym (b[000]_laguna01092014.aps)
ApHVAC air supply: Gym (b[000]_laguna01092014.aps)
Number of people: Gym (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.03
360
902.65
0.00
Min. Time
16:30,30/May
04:30,28/Feb
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.58
738
902.65
12.02
Max. Time
10:30,28/Oct
16:30,25/Jun
00:30,01/Jan
07:30,01/Jan
Mean
21.66
502
902.65
4.50
Figure G.9 : Baseline case model; Constant Air Volume (CAV); First Floor level Gymnasium, Room temperature, CO2 concentration, Air
supply and Occupancy
P a g e | 250
22.6
120.8
22.4
120.6
700
2.4
2.2
650
2.0
22.2
120.4
1.8
600
1.6
Volume flow (l/s)
Temperature (°C)
21.6
550
120.0
500
119.8
1.4
1.2
1.0
0.8
450
21.4
119.6
21.2
119.4
0.6
0.4
400
0.2
21.0
119.2
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0.0
Number of people peaks (+) on Fri 01/Jan for Treatment_Rm1
Air temperature: Treatment_Rm1 (b[000]_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm1 (b[000]_laguna01092014.aps)
ApHVAC air supply: Treatment_Rm1 (b[000]_laguna01092014.aps)
Number of people: Treatment_Rm1 (b[000]_laguna01092014.aps)
Var. Name
Air temperature: Treatment_Rm1 (b[000]_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm1 (b[000]_laguna01092014.aps)
ApHVAC air supply: Treatment_Rm1 (b[000]_laguna01092014.aps)
Number of people: Treatment_Rm1 (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
360
119.28
0.00
Min. Time
05:30,13/Oct
06:30,22/Nov
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.45
684
120.70
2.40
Max. Time
10:30,21/Jul
16:30,24/Jun
23:30,08/Mar
09:30,01/Jan
Mean
21.49
473
119.28
0.83
Figure G.10 : Baseline case model; Constant Air Volume (CAV); First Floor level Treatment Room1, Room temperature, CO2 concentration,
Air supply and Occupancy
P a g e | 251
Number
21.8
120.2
CO2 concentration (ppm)
22.0
22.6
125
750
120
700
115
650
110
600
2.0
22.4
1.8
22.2
1.6
Volume flow (l/s)
105
550
21.6
1.0
100
500
21.4
0.8
95
450
21.2
21.0
0.6
90
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
400
00:00
Number of people peaks (+) on Fri 01/Jan for S2-TypVIIA L/D
Air temperature: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Room CO2 concentration: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
ApHVAC air supply: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Number of people: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Var. Name
Type
Air temperature: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
Temperature (°C)
Room CO2 concentration: S2-TypVIIA L/D (b[000]_laguna01092014.aps)
CO2 concentration (ppm)
ApHVAC air supply: S2-TypVIIA L/D (b[000]_laguna01092014.aps) Volume flow (l/s)
92.79
Number of people: S2-TypVIIA L/D (b[000]_laguna01092014.aps) Number
0.44
Min. Val. Min. Time
21.04
04:30,29/Jan
441
14:30,07/Jul
00:30,01/Jan
124.99
09:30,01/Jan
2.00
Max. Val. Max. Time
22.59
09:30,16/Jun
716
05:30,17/Jul
09:30,29/May
93.40
00:30,01/Jan
1.27
Mean
21.62
587
Figure G.11 : Baseline case model; Constant Air Volume (CAV); Second Floor level Suite2-TypVIIA-Living/Dining, Room temperature, CO2
concentration, Air supply and Occupancy
P a g e | 252
1.2
0.4
Number
21.8
1.4
CO2 concentration (ppm)
Temperature (°C)
22.0
22.6
2.0
750
200
22.8
1.8
190
700
22.4
1.6
180
650
22.2
1.4
160
550
1.2
Number
21.8
Volume flow (l/s)
22.0
600
CO2 concentration (ppm)
Temperature (°C)
170
1.0
150
21.6
500
0.8
140
21.4
450
21.2
21.0
0.6
130
120
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
400
00:00
0.4
Number of people peaks (+) on Fri 01/Jan for UnitB_Bed Room
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
ApHVAC air supply: UnitB_Bed Room (b[000]_laguna01092014.aps)
Number of people: UnitB_Bed Room (b[000]_laguna01092014.aps)
Var. Name
Air temperature: UnitB_Bed Room (b[000]_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (b[000]_laguna01092014.aps)
ApHVAC air supply: UnitB_Bed Room (b[000]_laguna01092014.aps)
Number of people: UnitB_Bed Room (b[000]_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
443
123.67
0.44
Min. Time
04:30,04/Mar
14:30,26/Mar
00:30,01/Jan
09:30,01/Jan
Max. Val.
22.66
702
195.03
2.00
Max. Time
09:30,05/Aug
05:30,17/Jul
09:30,16/Jun
00:30,01/Jan
Mean
21.77
579
125.97
1.27
Figure G.12 : Baseline case model; Constant Air Volume (CAV); Thirteenth Floor level Suite2-TypVIIA-Living / Dining, Room temperature, CO2
concentration, Air supply and Occupancy
P a g e | 253
23.2
4000
800
300
23.0
750
3500
250
22.8
700
22.6
3000
650
200
2500
600
550
2000
150
Number
22.0
Volume flow (l/s)
22.2
CO2 concentration (ppm)
Temperature (°C)
22.4
21.8
500
21.6
100
1500
450
21.4
50
1000
400
21.2
21.0
500
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Sat 02/Jan for Restaurant
Air temperature: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
ApHVAC air supply: Restaurant (p_laguna01092014.aps)
Number of people: Restaurant (p_laguna01092014.aps)
Var. Name
Air temperature: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
ApHVAC air supply: Restaurant (p_laguna01092014.aps)
Number of people: Restaurant (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.03
360
791.40
Min. Time
Max. Val.
05:30,13/Nov
23.08
09:30,24/Jan
793
03:30,02/Jan
3983.08
0.00
03:30,01/Jan
Max. Time
Mean
10:30,23/Jul
21.83
18:30,30/Jan
599
19:30,31/Jul
2037.37
296.77
19:30,02/Jan
97.66
Figure G.13 : Proposed case model; CO2 based DCV; Basement level Restaurant Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 254
22.8
2800
800
200
2600
22.6
180
750
2400
160
22.4
700
2200
140
22.2
2000
650
Volume flow (l/s)
Temperature (°C)
1600
550
1400
21.6
1200
120
100
Number
21.8
600
CO2 concentration (ppm)
1800
22.0
80
500
60
1000
21.4
450
40
800
21.2
400
20
600
21.0
400
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Sat 02/Jan for Dining area
Air temperature: Dining area (p_laguna01092014.aps)
Room CO2 concentration: Dining area (p_laguna01092014.aps)
ApHVAC air supply: Dining area (p_laguna01092014.aps)
Number of people: Dining area (p_laguna01092014.aps)
Var. Name
Air temperature: Dining area (p_laguna01092014.aps)
Room CO2 concentration: Dining area (p_laguna01092014.aps)
ApHVAC air supply: Dining area (p_laguna01092014.aps)
Number of people: Dining area (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.02
360
506.70
0.00
Min. Time
05:30,19/Nov
09:30,10/Jan
03:30,02/Jan
03:30,01/Jan
Max. Val.
22.62
793
2753.09
190.02
Max. Time
10:30,26/Aug
18:30,06/Mar
19:30,18/Dec
19:30,02/Jan
Mean
21.67
605
1491.11
62.53
Figure G.14 : Proposed case model; CO2 based DCV; Basement level Dining Area Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 255
23.0
2400
800
22.8
160
750
140
2200
22.6
700
120
2000
22.4
650
100
Volume flow (l/s)
Temperature (°C)
600
550
1600
21.8
80
Number
22.0
1800
CO2 concentration (ppm)
22.2
60
500
21.6
1400
40
450
21.4
1200
400
21.2
21.0
1000
350
00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 00:00
20
0
Number of people peaks (+) on Sat 02/Jan for Restaurant
Air temperature: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
ApHVAC air supply: Restaurant (p_laguna01092014.aps)
Number of people: Restaurant (p_laguna01092014.aps)
Var. Name
Air temperature: Restaurant (p_laguna01092014.aps)
Room CO2 concentration: Restaurant (p_laguna01092014.aps)
ApHVAC air supply: Restaurant (p_laguna01092014.aps)
Number of people: Restaurant (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
360
1097.40
0.00
Min. Time
04:30,27/Nov
09:30,11/Jul
00:30,01/Jan
03:30,01/Jan
Max. Val.
22.84
777
2395.94
155.19
Max. Time
10:30,26/Aug
19:30,13/Feb
19:30,18/Dec
19:30,02/Jan
Mean
21.67
585
1412.75
51.07
Figure G.15 : Proposed case model; CO2 based DCV; Concourse level Restaurant Area Room temperature, CO2 concentration, Air supply
and Occupancy.
P a g e | 256
22.6
2000
800
130
1900
120
750
22.4
1800
110
700
1700
100
22.2
1600
90
650
21.8
80
600
1400
1300
550
1200
21.6
70
60
50
500
1100
40
21.4
1000
450
900
30
20
21.2
400
800
21.0
700
00:00
10
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
0
Number of people peaks (+) on Sat 02/Jan for Diniing Area
Air temperature: Diniing Area (p_laguna01092014.aps)
Room CO2 concentration: Diniing Area (p_laguna01092014.aps)
ApHVAC air supply: Diniing Area (p_laguna01092014.aps)
Number of people: Diniing Area (p_laguna01092014.aps)
Var. Name
Air temperature: Diniing Area (p_laguna01092014.aps)
Room CO2 concentration: Diniing Area (p_laguna01092014.aps)
ApHVAC air supply: Diniing Area (p_laguna01092014.aps)
Number of people: Diniing Area (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.02
360
764.93
0.00
Min. Time
04:30,13/Mar
09:30,11/Jul
22:30,17/Oct
03:30,01/Jan
Max. Val.
22.42
784
1951.62
124.39
Max. Time
10:30,26/Aug
18:30,25/Dec
19:30,21/Aug
19:30,02/Jan
Mean
21.61
599
1130.25
40.93
Figure G.16 : Proposed case model; CO2 based DCV; Concourse level Restaurant Area Room temperature, CO2 concentration, Air supply
and Occupancy.
P a g e | 257
Number
Volume flow (l/s)
1500
CO2 concentration (ppm)
Temperature (°C)
22.0
750
22.2
700
22.0
650
Volume flow (l/s)
22.4
21.8
21.6
800
45
750
40
700
35
650
30
600
600
550
550
21.4
25
20
500
15
450
10
400
5
350
00:00
0
500
21.2
450
21.0
400
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
Number of people peaks (+) on Fri 01/Jan for Hotel_Lobby
Air temperature: Hotel_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (p_laguna01092014.aps)
ApHVAC air supply: Hotel_Lobby (p_laguna01092014.aps)
Number of people: Hotel_Lobby (p_laguna01092014.aps)
Var. Name
Air temperature: Hotel_Lobby (p_laguna01092014.aps)
Room CO2 concentration: Hotel_Lobby (p_laguna01092014.aps)
ApHVAC air supply: Hotel_Lobby (p_laguna01092014.aps)
Number of people: Hotel_Lobby (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
361
442.62
0.00
Min. Time
05:30,19/Feb
07:30,11/Jul
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.60
757
755.52
44.42
Max. Time
15:30,06/Aug
12:30,30/Jul
12:30,22/Jun
11:30,01/Jan
Mean
21.71
556
517.04
16.53
Figure G.17 : Proposed case model; CO2 based DCV; Concourse level Hotel Lobby Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 258
Number
Temperature (°C)
800
CO2 concentration (ppm)
22.6
22.00
0.50
21.90
0.40
620
0.50
600
0.40
580
21.80
0.30
0.30
0.20
21.60
0.10
520
500
0.00
480
21.40
-0.10
21.30
-0.20
21.20
-0.30
0.20
540
460
440
0.10
0.00
Number
21.50
Volume flow (l/s)
21.70
CO2 concentration (ppm)
Temperature (°C)
560
-0.10
-0.20
420
-0.30
400
21.10
-0.40
-0.40
380
21.00
-0.50
360
00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 00:00
-0.50
Number of people peaks (+) on Fri 01/Jan for Main corridor
Air temperature: Main corridor (p_laguna01092014.aps)
Room CO2 concentration: Main corridor (p_laguna01092014.aps)
ApHVAC air supply: Main corridor (p_laguna01092014.aps)
Number of people: Main corridor (p_laguna01092014.aps)
Var. Name
Air temperature: Main corridor (p_laguna01092014.aps)
Room CO2 concentration: Main corridor (p_laguna01092014.aps)
ApHVAC air supply: Main corridor (p_laguna01092014.aps)
Number of people: Main corridor (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.00
361
0.00
0.00
Min. Time
04:30,09/Jan
07:30,11/Jul
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.00
612
0.00
0.00
Max. Time
09:30,01/Jan
16:30,13/Aug
00:30,01/Jan
00:30,01/Jan
Mean
21.80
463
0.00
0.00
Figure G.18 : Proposed case model; CO2 based DCV; Concourse level Main Corridor Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 259
21.90
354.1942
354.1940
560
0.50
540
0.40
520
0.30
500
0.20
480
0.10
21.80
354.1938
21.70
354.1936
354.1934
21.60
Volume flow (l/s)
Temperature (°C)
354.1930
460
354.1928
440
0.00
Number
21.50
CO2 concentration (ppm)
354.1932
-0.10
21.40
354.1926
21.30
420
-0.20
400
-0.30
380
-0.40
360
00:00
-0.50
354.1924
354.1922
21.20
354.1920
21.10
354.1918
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
Number of people peaks (+) on Fri 01/Jan for Indian_Kitchen_Tandoori
Air temperature: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Room CO2 concentration: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
ApHVAC air supply: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Number of people: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Var. Name
Air temperature: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Room CO2 concentration: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
ApHVAC air supply: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Number of people: Indian_Kitchen_Tandoori (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.16
361
354.19
0.00
Min. Time
05:30,29/Jan
07:30,11/Jul
00:30,01/Jan
00:30,01/Jan
Max. Val.
21.83
550
354.19
0.00
Max. Time
10:30,29/Jul
16:30,13/Aug
00:30,01/Jan
00:30,01/Jan
Mean
21.63
439
354.19
0.00
Figure G.19 : Proposed case model; CO2 based DCV; Concourse level Indian Kitchen Tandoori Room temperature, CO2 concentration, Air supply
and Occupancy.
P a g e | 260
22.4
340
800
18
320
750
16
300
700
14
280
650
12
260
600
240
550
220
500
6
200
450
4
180
400
2
350
00:00
0
22.2
10
Number
21.6
Volume flow (l/s)
21.8
CO2 concentration (ppm)
Temperature (°C)
22.0
8
21.4
21.2
21.0
160
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
Number of people peaks (+) on Fri 01/Jan for Meeting_Rm3
Air temperature: Meeting_Rm3 (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm3 (p_laguna01092014.aps)
ApHVAC air supply: Meeting_Rm3 (p_laguna01092014.aps)
Number of people: Meeting_Rm3 (p_laguna01092014.aps)
Var. Name
Air temperature: Meeting_Rm3 (p_laguna01092014.aps)
Room CO2 concentration: Meeting_Rm3 (p_laguna01092014.aps)
ApHVAC air supply: Meeting_Rm3 (p_laguna01092014.aps)
Number of people: Meeting_Rm3 (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.02
360
175.90
0.00
Min. Time
02:30,27/Nov
05:30,28/Jun
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.32
777
330.59
16.12
Max. Time
13:30,13/Apr
08:30,11/Jan
09:30,11/Jan
08:30,01/Jan
Mean
21.56
538
215.31
4.91
Figure G.20 : Proposed case model; CO2 based DCV; First Floor level Meeting Room3 Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 261
23.0
1000
850
13
950
12
22.8
800
900
11
22.6
750
850
22.4
750
Volume flow (l/s)
Temperature (°C)
700
600
650
550
600
550
500
500
6
5
4
450
450
2
21.2
400
400
350
00:00
1
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
Number of people peaks (+) on Fri 01/Jan for Gym
Air temperature: Gym (p_laguna01092014.aps)
Room CO2 concentration: Gym (p_laguna01092014.aps)
ApHVAC air supply: Gym (p_laguna01092014.aps)
Number of people: Gym (p_laguna01092014.aps)
Var. Name
Air temperature: Gym (p_laguna01092014.aps)
Room CO2 concentration: Gym (p_laguna01092014.aps)
ApHVAC air supply: Gym (p_laguna01092014.aps)
Number of people: Gym (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
360
374.39
0.00
Min. Time
04:30,13/Mar
05:30,25/Jul
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.92
815
956.31
12.02
Max. Time
10:30,07/Sep
07:30,19/Apr
10:30,06/Jul
07:30,01/Jan
Mean
21.69
574
511.93
4.50
Figure G.21 : Proposed case model; CO2 based DCV; First Floor level Gymnasium Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 262
7
3
21.4
21.0
8
0
Number
21.6
650
9
CO2 concentration (ppm)
21.8
700
800
22.2
22.0
10
22.6
114
800
2.4
112
2.2
750
22.4
110
2.0
700
108
22.2
1.8
106
650
21.6
Volume flow (l/s)
600
102
100
550
1.4
1.2
1.0
98
500
0.8
96
21.4
0.6
94
450
0.4
92
21.2
400
0.2
90
21.0
88
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
350
00:00
Number of people peaks (+) on Fri 01/Jan for Treatment_Rm1
Air temperature: Treatment_Rm1 (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm1 (p_laguna01092014.aps)
ApHVAC air supply: Treatment_Rm1 (p_laguna01092014.aps)
Number of people: Treatment_Rm1 (p_laguna01092014.aps)
Var. Name
Air temperature: Treatment_Rm1 (p_laguna01092014.aps)
Room CO2 concentration: Treatment_Rm1 (p_laguna01092014.aps)
ApHVAC air supply: Treatment_Rm1 (p_laguna01092014.aps)
Number of people: Treatment_Rm1 (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.01
361
89.28
0.00
Min. Time
06:30,22/Jan
06:30,28/Jun
00:30,01/Jan
00:30,01/Jan
Max. Val.
22.45
763
112.03
2.40
Max. Time
08:30,21/Jul
10:30,16/Jul
10:30,16/Jul
09:30,01/Jan
Mean
21.43
565
95.88
0.83
Figure G.22 : Proposed case model; CO2 based DCV; First Floor level Treatment Room1 Room temperature, CO2 concentration, Air supply and
Occupancy.
P a g e | 263
0.0
Number
21.8
1.6
104
CO2 concentration (ppm)
Temperature (°C)
22.0
22.8
120
750
2.0
115
22.6
1.8
700
110
22.4
1.6
105
650
22.2
95
90
550
1.2
Number
21.8
Volume flow (l/s)
22.0
1.4
600
CO2 concentration (ppm)
Temperature (°C)
100
1.0
85
21.6
500
80
0.8
21.4
75
450
0.6
21.2
70
21.0
65
00:00
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
400
00:00
0.4
Number of people peaks (+) on Fri 01/Jan for S2-TypVIIA L/D
Air temperature: S2-TypVIIA L/D (p_laguna01092014.aps)
Room CO2 concentration: S2-TypVIIA L/D (p_laguna01092014.aps)
ApHVAC air supply: S2-TypVIIA L/D (p_laguna01092014.aps)
Number of people: S2-TypVIIA L/D (p_laguna01092014.aps)
Var. Name
Air temperature: S2-TypVIIA L/D (p_laguna01092014.aps)
Room CO2 concentration: S2-TypVIIA L/D (p_laguna01092014.aps)
ApHVAC air supply: S2-TypVIIA L/D (p_laguna01092014.aps)
Number of people: S2-TypVIIA L/D (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.16
449
69.29
0.44
Min. Time
04:30,17/Feb
14:30,13/Apr
08:30,01/Jan
09:30,01/Jan
Max. Val.
22.64
708
115.23
2.00
Max. Time
09:30,12/Jul
22:30,05/Jan
09:30,05/Aug
00:30,01/Jan
Mean
21.75
602
73.08
1.27
Figure G.23: Proposed case model; CO2 based DCV; Second Floor level S2-Typical VIIA Living / Dining Room temperature, CO2 concentration, Air
supply and Occupancy.
P a g e | 264
22.8
95
22.6
750
2.0
90
1.8
700
22.4
85
1.6
22.2
650
75
600
70
1.2
1.0
21.6
550
65
0.8
21.4
500
60
21.2
21.0
55
00:00
0.6
01:00
02:00
03:00
04:00
05:00
06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00
450
00:00
0.4
Number of people peaks (+) on Fri 01/Jan for UnitB_Bed Room
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
ApHVAC air supply: UnitB_Bed Room (p_laguna01092014.aps)
Number of people: UnitB_Bed Room (p_laguna01092014.aps)
Var. Name
Air temperature: UnitB_Bed Room (p_laguna01092014.aps)
Room CO2 concentration: UnitB_Bed Room (p_laguna01092014.aps)
ApHVAC air supply: UnitB_Bed Room (p_laguna01092014.aps)
Number of people: UnitB_Bed Room (p_laguna01092014.aps)
Type
Temperature (°C)
CO2 concentration (ppm)
Volume flow (l/s)
Number
Min. Val.
21.15
451
56.30
0.44
Min. Time
04:30,27/Jan
14:30,07/Jul
08:30,01/Jan
09:30,01/Jan
Max. Val.
22.65
736
92.92
2.00
Max. Time
09:30,07/Sep
00:30,19/Jan
09:30,05/Aug
00:30,01/Jan
Mean
21.76
607
59.95
1.27
Figure G.24: Proposed case model; CO2 based DCV; Thirteenth Floor level Unit B Bed Room Room temperature, CO2 concentration, Air supply
and Occupancy.
P a g e | 265
Number
21.8
Volume flow (l/s)
22.0
1.4
CO2 concentration (ppm)
Temperature (°C)
80
Appendix H: Baseline and Proposed case model; Cooling Coil Capacities, Chiller Load and Electrical Energy Consumption based on
Outside Air Quantity to satisfy CO2 concentration of 800 PPM.
Six Floor based Baseline and Proposed Case Model:
Figure H1: Baseline case-CAV; ApHVAC Cooling Coil Total Load
in kW (Six-floor model)
P a g e | 266
Figure H2: Baseline case-CAV; ApHVAC Chillers Load in kW
(Six-floor model)
Table H1: Baseline case-CAV; PRM net electricity consumption
(MWh) - (Six-floor model)
Figure H3: Proposed case-DCV; ApHVAC Cooling Coil Total Load
in kW (Six-floor model)
P a g e | 267
Table H2: Proposed case-DCV; PRM net electricity consumption
(MWh) - (Six-floor model)
Figure H4: Proposed case-DCV; ApHVAC Chillers Load in
kW (Six-floor model)
P a g e | 268
Second Floor based Baseline and Proposed Case Model:
Figure H5: Baseline case-CAV; ApHVAC Cooling Coil Total
Load in kW (Second floor model)
P a g e | 269
Figure H6: Baseline case-CAV; ApHVAC Chillers Load in kW
(Second floor model)
Table H3: Baseline case-CAV; PRM net electricity
consumption (MWh) - (Second floor model)
Figure H7: Proposed case-DCV; ApHVAC Cooling Coil
Total Load in kW (Second floor model)
P a g e | 270
Table H4: Proposed case-DCV; PRM net electricity
consumption (MWh) - (Second floor model)
Figure H8: Proposed case-DCV; ApHVAC Chillers Load in
kW (Second floor model)
P a g e | 271
Thirteenth Floor based Baseline and Proposed Case Model:
Figure H9: Baseline case-CAV; ApHVAC Cooling Coil Total
Load in kW (Thirteenth floor model)
P a g e | 272
Figure H10: Baseline case-CAV; ApHVAC Chillers Load
in kW (Thirteenth floor model)
Table H5: Baseline case-CAV; PRM net electricity
consumption (MWh) - (Thirteenth floor model)
Figure H11: Proposed case-DCV; ApHVAC Cooling Coil
Total Load in kW (Thirteenth floor model
P a g e | 273
Table H6: Proposed case-DCV; PRM net electricity
consumption (MWh) - (Thirteenth floor model)
Figure H12: Proposed case-DCV; ApHVAC Chillers Load
in kW (Thirteenth floor model)
P a g e | 274
Table H7: Baseline and Proposed; PRM net Annual Electricity consumption (Six-floors model)
P a g e | 275
Table H8: Baseline and Proposed; PRM net Annual Electricity consumption (2 nd floor model- Hotel Guest Rooms)
P a g e | 276
Table H9: Baseline and Proposed; PRM net Annual Electricity consumption (13th floor model- Residential Apartments)
P a g e | 277
Table H10: ApHVAC Chiller Load-Baseline Case Model-CAV (Six-Floors-Based)
Table H11: ApHVAC Chiller Load-Baseline Case Model-CAV (Second-Floor-Based)
Table H12: ApHVAC Chiller Load-Baseline Case Model-CAV (Thirteenth-Floor-Based)
Table H13: ApHVAC Chiller Load-Proposed Case Model-DCV (Six-Floors-Based Model)
Table H14: ApHVAC Chiller Load-Proposed Case Model-DCV (Second-Floor-Based Model)
Table H15: ApHVAC Chiller Load-Proposed Case Model-DCV (Thirteenth-Floor-Based Model)
P a g e | 278
Appendix J: Cooling Coil Capacities, Chiller Load and Electrical Energy Consumption based on ASHRAE standard 62.1-2010 recommended
Minimum Outside Air Quantity.
Six Floors based Baseline and Proposed Case Energy Model:
Figure J1: Baseline case-CAV; ApHVAC Cooling Coil Total
Load in kW (Six floors based model)
P a g e | 279
Figure J2: Baseline case-CAV; ApHVAC Chillers Load in kW
(Six floors based model)
Table J1: Baseline case-CAV; PRM net electricity
consumption (MWh) - (Six floors based model)
Figure J3: Proposed case-DCV; ApHVAC Cooling Coil Total
Load in kW (Six floors based model)
P a g e | 280
Table J2: Proposed case-DCV; PRM net electricity
consumption (MWh) - (Six floors based model)
Figure J4: Proposed case-DCV; ApHVAC Chillers Load in kW (Six
floors based model)
P a g e | 281
Second Floor based Baseline and Proposed Case Energy Model
Figure J5: Baseline case-CAV; ApHVAC Cooling Coil Total
Load in kW (Second floor model)
P a g e | 282
Figure J6: Baseline case-CAV; ApHVAC Chillers Load
in kW (Second floor model)
Table J3: Baseline case-CAV; PRM net electricity
consumption (MWh) - (Second floor model)
Figure J7: Proposed case-DCV; ApHVAC Cooling
Coil Total Load in kW (Second floor model)
P a g e | 283
Table J4: Proposed case-DCV; PRM net electricity
consumption (MWh) - (Second floor model)
Figure J8: Proposed case-DCV; ApHVAC Chillers Load in
kW (Second floor model)
P a g e | 284
Thirteenth Floor Based Energy Model (Residential Apartment)
Figure J9: Baseline case-CAV; ApHVAC Cooling Coil Total
Load in kW (Thirteenth floor model)
P a g e | 285
Figure J10: Baseline case-CAV; ApHVAC Chillers Load in
kW - (Thirteenth floor model)
Table J5: Baseline case-CAV; PRM net electricity
consumption (MWh) - (Thirteenth floor model)
Figure J11: Proposed case-DCV; ApHVAC Cooling Coil Total Load in
kW (Thirteenth floor model)
P a g e | 286
Table J6: Proposed case-DCV; PRM net
electricity consumption (MWh) - (Thirteenth floor
model)
Figure J12: Proposed case-DCV; ApHVAC Chillers Load in kW
(Thirteenth floor model)
P a g e | 287
Table J7: Baseline and Proposed; PRM net Annual Electricity consumption (Six-floors model) - ASHRAE standard 62.1-2010
P a g e | 288
Table J8: Baseline and Proposed; PRM net Annual Electricity consumption (2nd floor model) - ASHRAE standard 62.1-2010
P a g e | 289
Table J9: Baseline and Proposed; PRM net Annual Electricity consumption (13th floor model) – ASHRAE standard 62.1-2010
P a g e | 290
Table J10: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Baseline Case Model-CAV (Six-Floors-Based)
Table J11: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Baseline Case Model-CAV (Second-Floor-Based)
Table J12: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Baseline Case Model-CAV (Thirteen-Floor-Based)
Table J13: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Proposed Case Model-DCV (Six-Floors-Based)
Table J14: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Proposed Case Model-DCV (Second-Floor-Based)
Table J15: ApHVAC Chiller Load-ASHRAE Standard 62.1-2010-Proposed Case Model-DCV (Thirteen-Floor-Based)
P a g e | 291