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

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

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

3. The challenge… • Find what matters… • …To You • (quickly, easily, efficiently, automatically)

4. That’s What SkySpark Does • Software that automatically looks for “issues” – we call them sparks • 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!

5. What Customers are Saying • “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” • “as if I had an experienced mechanical engineer constantly reviewing system operation to find issues – which is simply not sustainable or scalable”

6. Examples of Issues Real Owners FindThings That Matter • 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?

7. The Old WayA very manual process • View graphics of equipment systems • Review reports or history logs • Alarms… • 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?

8. Thinking about “it” in a new way Business Intelligence software for the physical world of building, energy and equipment data

9. SkySpark • Rethink how you organize data • Rethink how you visualize data • Rethink how you analyze data • Rethink how you consume the result

10. Three Steps • Bring data into SkySpark BAS data Facility data Utility data Production data Weather data

11. Step 2 • Give the data meaning via “tags” • No need to maintain rigid schemas – add tags whenever youwant • Dimensions • Relationships • Location • Other meaning and descriptors

12. Step 3 • Rules and “Sparks” • Choose or define rules to find exactly what matters to you • Sample rule: • 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’: • 2010-Oct-03 | Zone Temp Too Hot | Floor-2 Zone-A • And SkySpark automatically generates views to show the issue!

13. 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

14. Technology Overview

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

16. Architecture Runs on Windows, Mac and Linux from laptop to Amazon Cloud Use as an end-to-end 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 SkyFoundry Apps

17. A Deeper Look at SkySpark Applications and ToolsDemonstration A Deeper Look at SkySpark Applications and Tools – Demonstration

18. 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

19. 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

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

21. The Site App – Easy Navigation of all of Your Data 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

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

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

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

25. 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

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

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

28. Summary

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

30. Applications • End use application for facility/energy managers • Backend database and analytics engine for third party HMI offerings • In house tool for consultants involved in commissioning/energy analysis • 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

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

32. A Bit About SkyFoundry • 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)

33. Find what matters™