Analytics Software for
Energy Management and Building Systems Optimization and Equipment Fault Detection
December 2011

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We now have access to data… lots of it!
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Building automation system data
Utility data
Metering data
Equipment/asset data
IP/web connected automation systems and smart devices
Standard protocols
Standard data formats
Hidden in this data are the keys to better building performance
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How can we turn the data into useful information?

(quickly, easily, efficiently, automatically)

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Software that automatically looks for “issues” – we call them sparks
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Across a wide range of data with different sources and formats
Processes rules to generate sparks
Easily add new rules without re-programming controllers
The result: Turn operational data into actionable issues with minimal intervention!

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“Dashboards are great but – I need someone to tell me when I should look at a dashboard – tell me when there is something important that deserves my attention”
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“as if I had an experienced mechanical engineer constantly reviewing system operation to find issues – which is simply not sustainable or scalable”

Things That Matter
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Simultaneous heating and cooling in a single unit or across groups, short cycling, lack of diversity control
Deviation of energy intensity (kw/sq ft/degree day) from benchmarks, baselines, goals along with time, duration and cost
Degradation of cooling or heating performance (i.e., unit runs but does not deliver expected cooling/heating)
Economizers open while heating and cooling
Non-functioning sensors (temp, kw, etc)
Lights or other loads operating when they shouldn’t
Setpoints overridden and not changing with schedules as expected
What matters to you?

A very manual process
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View graphics of equipment systems
Review reports or history logs
Alarms…
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 need to understand the issue when programming system single variable - single point in time simple limit-based relationships – many systems not capable of complex alarm logic
Import data into Excel for manual analysis
No single tool that works across all kinds of data
How do you do this today?

Business Intelligence software for the physical world of building, energy and equipment data

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Rethink how you organize data
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Rethink how you visualize data
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Rethink how you analyze data
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Rethink how you consume the result

Bring data into SkySpark
BAS data
Facility data
Utility data
Weather data
Production data

Give the data meaning via “tags”
No need to maintain rigid schemas – add tags whenever you want
• Dimensions
• Relationships
• Location
• Other meaning and descriptors

Rules and “Sparks”
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Choose or define rules to find exactly what matters to you
Sample rule:
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 dis: Simultaneous Heating and Cooling
(the text we will display) ruleOn: ahu (this is the tag the rule will work on) ruleFunc: hisPeriodIntersection([heat, cool]) (this is the rule expression)
The result – a sample “spark’:
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2010-Oct-03 | Zone Temp Too Hot | Floor-2 Zone-A
And SkySpark automatically generates views to show the issue!

The Result:
Know what your systems are really doing
Automatically scans your data to find what matters
Automatically generates views on issues detected
Identify an issue once –
SkySpark finds it forever
Build up libraries of analytic rules to fit your facility needs
Convert your domain knowledge to rules – your value continues to build
The “Spark detail” page – shows everything related to the occurrence of an issue

3 core components plus open API’s for integration with third party applications

Architecture
Runs on Windows,
Mac and Linux from laptop to Amazon
Cloud
SkyFoundry Apps
Use as an end-toend product or as a backend
DB/analytics engine
You can extend the product by building your own Apps inside it, or by integrating it with your external Apps

The Site Spark App – User’s Dashboard to Review and Investigate Sparks
Spark Detail View
Simply click on a spark notification to get an automatically generated view of relevant data items

The Energy App – The Essential
Energy Reports in One Simple Tool
Consumption, demand, runtime, rank and exception reports. Normalize by area, degree days and user defined parameters

The KPI App – Presentation of Key
Performance Metrics
You can define virtually any
KPI you want to display

The Site App automatically creates navigation without any additional programming –
It interprets tags to automatically create a comprehensive navigation tree
Explore any points across any time range
The Site App – Easy Navigation of all of Your Data

Choose data items to be charted and time period
The History App – Ad Hoc Analysis
– Chart any Type of Data

The Report App – Save any View or Query as a Standard Report for Single Click Operation

The Folio App – Directly Query the
Database, Add Tags, Explore Relationships

Folio - Function Editor – Write Rules to
Analyze Data and Generate Sparks
SkySpark includes a comprehensive library of analytic functions to build rules from as well as a set of standard rules to find virtually any type of fault or operational condition

The Spark App – Review,
Sort and Export Spark Data, Set up Sparks

The Weather App – Look
Specifically at Weather Data
Look at current conditions, forecast, history, and degree days

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Identify the data that matters to you
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Turn your operational data into actionable issues easily and efficiently
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Rules and sparks allow you to completely rethink how you create value from operational data
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Transform domain knowledge into analytic rules that automatically “watch” your facilities
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Improve operation and energy efficiency by identifying faults, and issues worthy of attention

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End use application for facility/energy managers
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Backend database and analytics engine for third party HMI offerings
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In house tool for consultants involved in commissioning/energy analysis
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And, SkySpark is sold as licensed software – install it on a local PC or server, or host it in your own cloud.
SkyFoundry never has your data – you’re in control

Enterprise software model
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A partner - focused software company
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We focus on creating software tools that enable domain experts to leverage knowledge and help customers improve facility operations
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Resellers provide implementation services to end customers
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Implementation services provided by VARs include:
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Data integration, importing and “tagging”
Developing analytic rules
Building custom visualizations
Channel training/on-going support services
Developing or integrating with complimentary applications

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Privately held software company
Founded January 2009
SkySpark Product introduction Oct 2010
>1000 buildings and 91M sq ft under continuous analytics since Oct 2010
Founded by Brian Frank (co-founder of Tridium and Chief
Architect of the Niagara Framework)
Co-founder, John Petze (CEO Tridium, VP Product Development
Andover Controls, CEO Teletrol, Global Director Smart Buildings Cisco)

Find what matters™