See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/228764328 A comparison between four different ventilation systems Conference Paper · September 2002 CITATIONS READS 47 1,332 3 authors: Y. Cho H.B Awbi Tata Steel University of Reading 11 PUBLICATIONS 294 CITATIONS 220 PUBLICATIONS 5,895 CITATIONS SEE PROFILE Taghi Karimipanah University of Gävle 34 PUBLICATIONS 741 CITATIONS SEE PROFILE All content following this page was uploaded by H.B Awbi on 31 May 2014. The user has requested enhancement of the downloaded file. SEE PROFILE Presented at the International conference Roomvent 2002, Copenhagen, September 2002. A COMPARISON BETWEEN FOUR DIFFERENT VENTILATION SYSTEMS Y Cho1, H B Awbi1 , T Karimipanah2 1 The University of Reading, UK 2 Air Innovation AB, Sweden y.j.cho@rdg.ac.uk h.b.awbi@rdg.ac.uk taghi.k@telia.com Summary Measurements and CFD simulations from four systems are compared using the air change index and a new Ventilation Parameter (VP). VP combined with thermal comfort and indoor air quality indices gives a good index for comparison of four systems. Impinging Jet is capable of achieving better air distribution in the space than the other systems (mixing, wall displacement and floor displacement) particularly at higher heat loads. Introduction Traditional mixing ventilation (MV) systems which are driven by high jet momentum force, still occupy a large portion of the market although in many cases has poor ventilation efficiency and is less energy efficient. In displacement ventilation (DV) fresh air is usually supplied at floor level with an inlet velocity < 0.5m/s and temperature ≥18 oC and the cool air rises as it encounters heat sources in the room thus creating a temperature stratification. However, DV alone can only be used for cooling. Recently, a new method of air distribution developed by Air innovation AB in Sweden that is based on the impinging jet principle (Karimipanah and Awbi 2002). As a medium momentum supply device (DV < IJV momentum < MV), impinging jet ventilation (IJV) can combine the positive effects of both mixing and displacement system. It produces higher momentum than displacement ventilation and can result in the jet spreading evenly over the floor. As a result it can provide a clean air zone in the lower part of the occupied zone like displacement ventilation. In this paper CFD and experimental results are compared for four different ventilation systems based using the mean velocity, comfort parameters, local air change index at a breading zone and ventilation parameters including the heat and contaminant removal effectiveness. Experimental Set-up The experiments were carried out in the environmental chamber at the Univ. of Reading. The chamber used for the experimental study has external dimensions 4.0m x 3.0m x 2.52m ceiling height. The dimensions of the test compartment are 2.78m (length) x 2.78m (width) x 2.3 m (height), i.e. representing a small size office room. In the case of the wall displacement ventilation (DV), a semi circular wall unit of overall dimensions 0.5m x 0.5m with a radius of 0.25m was used and the air is supplied through many small diameter holes. For floor displacement ventilation (DF), two circular floor units of overall diameter 150mm was used and the air is supplied through radial slots to create a swirl motion at an angle to the face of the diffuser. For mixing ventilation, a slot with dimensions 400mm x 20mm was placed at a height of 2.16m above the floor projecting the air towards the ceiling with an angle of 36o in order to avoid the dumping of cold jet onto the lower zones. For impinging jet ventilation, a semi circular device with an inlet sectional area 0.0135m2 was used to supply air at a height of 0.84m above the floor. To provide a realistic office situation a light (36W fluorescent), a computer box (a 400mm cube with a 150W light bulb fitted inside), two heated plates (2 x 500mm x 1000mm), a desk and a chair were placed in the chamber. A heated mannequin (see Fig. 1) was made from 1 mm aluminium sheet with the overall surface area of 1.60m2. Heating elements inside the body, head and legs of the mannequin were controlled to provide a surface temperature Presented at the International conference Roomvent 2002, Copenhagen, September 2002. equal to that of a typical naked human (Olesen,1982). A polyurethane tube was attached to a copper tube (the nose) inside the head and fed through the torso and out to the gas sampler. This location represented the sampling point for the breathing zone. Four-wire Platinum Resistance Thermometer (PRT) sensors (accuracy = ±0.15K) have been used to measure the air temperature and the inside and outside surface temperatures of the chamber. Other measuring devices used in the tests were an accurate Wattmeter, DANTEC omni-directional velocity sensors and a Brüel and Kjäer SF6 gas sampling system. The SF6 gas analysis system incorporated a sampling box, gas analyser and a computer with analysis and control software. Further details can be found in Xing et al (2001). calculated velocity, air temperature and radiant temperature at each computational cell were used in Fanger’s comfort equation (Fanger, 1972) for calculating the PD and PPD at the cell. The calculation of local mean age of air, τ p , in a room combines the air flow model with the transport equation for age of air. The transport equation for the local mean age of air, τ , is: Ui ∂τ p ∂xi = ∂ ∂xi ⎧⎪⎛ ν t ν ⎞ ∂τ p ⎫⎪ + ⎟ ⎨⎜⎜ ⎬ +1 ⎪⎩⎝ σ τ σ ⎟⎠ ∂xi ⎪⎭ (2) where Ui is the mean velocity component in xi direction, τ p is the local mean age of air, ν and ν t are the laminar and turbulent kinematic viscosity respectively, σ is the laminar Scmidt (Prandtl) number and σ τ is the Scmidt number for age of air (=1.0). Ventilation Parameters Local Air Change Index ( ε ap ) ε ap , the ratio of nominal time constant ( τ n ) to the local mean age of air ( τ p ), is expressed as ε ap = Fig. 1: Mannequin and Computer box Two cooling loads for the case I and case II was 36 W/m2, 60W/m2 respectively and air change rate was 5ach, i.e. air supply rate of 25l/s. Using tracer decay gas technique, SF6 gas was injected from venturi in order to obtain the contaminant removal effectiveness and the age of air at a number of points in the room. The local age of air at any point in the room can be calculated using following expressions: ∞ ∫ C p (t )dt τ p= 0 C (0) (3) Ventilation Parameter (VP) To assess the effectiveness of a ventilation system in both measurement and CFD simulation, the effectiveness for heat removal ( ε t ) and contaminant removal ( ε c ) are used together with the predicted percentage of dissatisfied (PPD) for thermal comfort and percentage of dissatisfied (PD) for air quality. ε t and ε c are defined by: (1) εt = CFD Calculations The CFD program VORTEX (Gan and Awbi, 1994) has been used to predict the air flow, heat transfer and mean age distribution in the chamber. This is a three dimensional program which solves, using a Cartesian grid, the continuity equation, the Navier –Strokes equation, the thermal energy equation, the concentration of species equation, the two equations for k and ε in the k − ε turbulence model and room surface radiation. The τn τp To − Ti Tm − Ti and ε c = Co − Ci Cm − Ci (4) In equations (4), T is temperature (oC), C is the contaminant concentration (ppm), subscripts o,i and m denote outlet, inlet and mean value for the occupied zone (to a height of 1.8m). ε t is similar to a heat exchanger effectiveness and is a measure of the heat removing ability of the system. ε c is a measure of how effectively the contaminant is removed. The values for and ε c are determined by heat and εt Presented at the International conference Roomvent 2002, Copenhagen, September 2002. contaminant sources, the method of room air distribution, room characteristics, etc. However, high values do not always give a good indication of the thermal comfort and air quality in the occupied zone. Fanger (1972) has developed expressions for the percentage of dissatisfied (PD) with the indoor air quality and the predicted percentage of dissatisfied (PPD) with the thermal environment given by Eqs. (5) and (6). PD = 395 ⋅ exp(−1.83 v& ) (5) 4 PPD = 100 – exp -{0.03353 (PMV) + 0.2179 (6) (PMV)2} 0.25 Where v& is the ventilation rate (ls-1) and PMV is the Predicted Mean Vote as defined in ISO 7730(1994) and the recommended PPD limit for ideal thermal environment is 10%, corresponding to -0.5 ≤ PMV ≤ 0.5. Thus, low values for both indices guarantee a good indoor air quality and thermal comfort. The comfort number, Nt , and the air quality number, Nc , (Awbi 1998) combined with PPD and PD respectively are useful to examine the quality of a ventilation system. These are defined as: Nt = εt PPD , Nc = εc PD (7) These two numbers can be combined into a single parameter which determines the effectiveness of an air distribution system in providing air quality and thermal comfort in the form of a Ventilation Parameter defined as: VP = Nt × Nc (8) Results and Discussions Tests with the four types of system (MV, DV, DF, IJV) were carried out for 5ach and two heat loads (36 W/m2 without heated plates and 60W/m2 with heated plates). Table1 summarises the test conditions and the results obtained from the tests and the CFD simulations at the same conditions for the 8 case. The overall agreement between the measured and predicted (CFD) are generally good. The discrepancies between the measured and CFD can be due to a limited number of measuring points, a poor accuracy in measuring velocities less than 0.1m/s and the changes in shape of air inlets when a Cartesian grid is used in the CFD solutions. ε c are not correlated with ε t since ε c is affected by convection and ε t is The results for mainly affected by convection and radiation as Heiselberg and Sandberg (1990) found. The heat removal effectiveness for all four ventilation systems is generally satisfactory. The mixing ventilation for high load (case II) has a high ε t , however PPD is also high because of dumping of the cold jet into the occupied zone. Thus MV cannot guarantee thermal comfort and energy saving for large heat loads. For the floor displacement ventilation, the air does not flow over the floor as expected but actually spreads from the unit at an angle to the floor. Thus the PPD is too high which also affects the ventilation parameter (VP) as shown in Fig. 2. Also, the air entrained by the mannequin is a mixture of the supply air and room air, hence the air change index at the breathing zone for case I is lower than what is expected, see Fig.3. For wall displacement system, case I (36 W/m2), ε ap and VP are generally good but for case II (60 W/m2) there is difficulty in satisfying the thermal comfort criterion. The impinging jet acts as displacement ventilation and produces a higher velocity in a thin layer over the floor. It also gives the highest values of VP and an air change index which is similar to displacement systems (DV and DF systems). Conclusions 1. The new Ventilation Parameter (VP) can provide useful information on ventilation performance of a system with respect to thermal comfort and indoor quality. 2. Although mixing ventilation can remove a high heat load, the thermal comfort may not be adequate as high velocity cold air can produce draught and a high PPD. 3. The impinging jet system produced higher values of the ventilation parameter (VP) than the other systems examined. It is still capable of achieving better air distribution in the space than the other three systems at the higher heat load. References Awbi, H B (1998) Energy Efficient Room Air Distribution, Renewable Energy, Vol.15, pp293299. Fanger, P.O.(1972) Thermal comfort. Presented at the International conference Roomvent 2002, Copenhagen, September 2002. McGraw-Hill New York. Gan, G and Awbi, HB (1994): Numerical simulation of the indoor environment, Building and Environment, Vol. 29, No. 4, pp 449-459. Heiselberg, P. and Sandberg, M (1990) Convection from a slender cylinder in a ventilated room, Roomvent 90’,Norway ISO/CEN 7730 (1994) Moderate thermal environments: Determination of PMV and PPD indices and specification of the conditions for thermal comfort. Karimipanah, T. and Awbi, H.B. (2002) Theoretical and experimental investigation of impinging jet ventilation and comparison with wall displacement ventilation, to be published in Building and Environment. Olesen, B.W. (1982) Thermal comfort, Bruel and Kjaer Technical Review, No 2 Xing, H Hatton, A. and Awbi H.B. (2001) A study of air quality in the breathing zone in a room with displacement ventilation, Building and Environment, 2001;Vol 36: 809-820. Fig 2: Ventilation Parameters (VP) at different systems Fig 3: Local air change index ( ε ap ) at the breathing zone at 36W/m2 Table 1: Data for Experiments and CFD Pv I DV DF MV IJV II DV DF MV IJV Tin Vm T0.1 T1.1 εc ( %) (%) PPD PD (%) (%) Nt Nc VP 2 36W/m EXP CFD EXP CFD EXP CFD EXP CFD 60W/m2 EXP CFD EXP CFD EXP CFD EXP CFD 24 18 31 18 53 13 35 18 43 18 41 18 67 12 37 18 0.07 0.03 0.05 0.05 0.10 0.08 0.07 0.06 23.9 24.4 23.8 24.1 24.5 24.5 23.3 23.5 26.0 25.9 25.0 24.9 25.3 25.1 25.3 25.2 126 106 95 93 115 121 114 124 99 101 111 113 0.06 0.05 0.05 0.04 0.12 0.09 0.07 0.06 26.2 25.6 26.3 25.4 26.9 26.6 23.3 24.3 27.9 27.3 28.8 29.2 28.1 27.6 26.1 26.9 137 159 97 103 117 118 97 102 101 105 108 112 2 Ti = Inlet temp. (oC) Pv =Ventilation load(W/m ) Vm = Mean velocity in the occupied zone (m/s) View publication stats εt 7.8 6.4 16.1 18.0 17.0 12.4 6.6 8.5 18.7 12.7 7.7 6.4 12.1 15.7 13.8 7.1 6.5 17.0 17.4 17.2 13.9 6.5 9.8 14.9 12.1 28.3 6.5 5.6 15.7 9.4 22.2 6.4 4.6 16.4 8.7 7.9 6.5 14.9 17.2 16.0