SkySpark: Revolutionizing Energy Management & Building Optimization

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™