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Building Energy
                  Performance Analytics
                  Turn Data into Dollars




                                                       Jay Stein
                              Executive Vice President, E Source

                                      AESP Brown Bag Seminar


www.esource.com                                  Thursday, April 12, 2012
What Do They Have in Common?


      Energy auditor                                             Spotted owl




                Courtesy: Association for Energy Affordability                 Source: US Fish and Wildlife Service




2                                                                              www.esource.com || © 2012 E Source
This Is the Dawning of the
    Age of Analytics




                                   Source: Google

3                                www.esource.com || © 2012 E Source
Turn Data into Dollars




                 Source: Xcel Energy                         Source: 123RF.com




4                                      www.esource.com || © 2012 E Source
Microsoft Checks It Out




                                   Courtesy: Microsoft




5                             www.esource.com || © 2012 E Source
How It Works


                    Utility bills                       Dashboard




         Weather                                                     Recom-
         station                                                    mendations

                                    Analytical engine
          Digital                                                    Economic
         controls                                                     analysis



                     End-use
                                                         Ranking
                      meters




6                                                           www.esource.com || © 2012 E Source
Four Types of Analyses
                                                                    Automated
                                                                   comparison to
                                                                 statistical models


                                   Automated
                                     audit
          Complexity of analysis




                                                              Automated
                                                            comparison to
                                                           rules and indices




                                                      Human analysis
                                                      of multiple info
                                                         streams




                                               Complexity of inputs

7                                                                                     www.esource.com || © 2012 E Source
Example: Automated Audit

                                            Recom-
                                           mendations




        15-minute                                      Bench-
        utility data                                   marking

                       Analytical engine
                                                       End-use
         Address
                                                        energy




                                               Data
                                           visualization




8                                           www.esource.com || © 2012 E Source
Benchmarking Against Simulated Peer




                             Courtesy: Retroficiency




9                             www.esource.com || © 2012 E Source
Who’s Leaving the Lights On?




                                            Courtesy: Retroficiency




10                             www.esource.com || © 2012 E Source
Example: Human Analysis

                                            Dashboard




         Continuous                                 Reporting &
         utility data                                 alarms

                        Analytical engine
         Continuous                                   Real-time
         BMS data                                     graphing




                                            Comparison
                                            to baseline




11                                          www.esource.com || © 2012 E Source
Feedback Yields Results




                                                  Courtesy: Pulse Energy




12                             www.esource.com || © 2012 E Source
Caution

                                      Lack of independent cost
                                       and savings info
                                      Too many offerings
                                      Different strokes for different
                                       folks
                                      Savings depend on
                                       motivation and skill
                                      Savings depend on building
                                       characteristics

               Source: CKSinfo.com




13                                                  www.esource.com || © 2012 E Source
For More Information

     Jay Stein
     Executive Vice President, E Source
     303-345-9131
     jay_stein@esource.com




     Have a question? Ask our experts: www.esource.com/question

14                                                                www.esource.com || © 2012 E Source

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Building Energy Performance Analytics: Turn Data into Dollars

  • 1. Building Energy Performance Analytics Turn Data into Dollars Jay Stein Executive Vice President, E Source AESP Brown Bag Seminar www.esource.com Thursday, April 12, 2012
  • 2. What Do They Have in Common? Energy auditor Spotted owl Courtesy: Association for Energy Affordability Source: US Fish and Wildlife Service 2 www.esource.com || © 2012 E Source
  • 3. This Is the Dawning of the Age of Analytics Source: Google 3 www.esource.com || © 2012 E Source
  • 4. Turn Data into Dollars Source: Xcel Energy Source: 123RF.com 4 www.esource.com || © 2012 E Source
  • 5. Microsoft Checks It Out Courtesy: Microsoft 5 www.esource.com || © 2012 E Source
  • 6. How It Works Utility bills Dashboard Weather Recom- station mendations Analytical engine Digital Economic controls analysis End-use Ranking meters 6 www.esource.com || © 2012 E Source
  • 7. Four Types of Analyses Automated comparison to statistical models Automated audit Complexity of analysis Automated comparison to rules and indices Human analysis of multiple info streams Complexity of inputs 7 www.esource.com || © 2012 E Source
  • 8. Example: Automated Audit Recom- mendations 15-minute Bench- utility data marking Analytical engine End-use Address energy Data visualization 8 www.esource.com || © 2012 E Source
  • 9. Benchmarking Against Simulated Peer Courtesy: Retroficiency 9 www.esource.com || © 2012 E Source
  • 10. Who’s Leaving the Lights On? Courtesy: Retroficiency 10 www.esource.com || © 2012 E Source
  • 11. Example: Human Analysis Dashboard Continuous Reporting & utility data alarms Analytical engine Continuous Real-time BMS data graphing Comparison to baseline 11 www.esource.com || © 2012 E Source
  • 12. Feedback Yields Results Courtesy: Pulse Energy 12 www.esource.com || © 2012 E Source
  • 13. Caution  Lack of independent cost and savings info  Too many offerings  Different strokes for different folks  Savings depend on motivation and skill  Savings depend on building characteristics Source: CKSinfo.com 13 www.esource.com || © 2012 E Source
  • 14. For More Information Jay Stein Executive Vice President, E Source 303-345-9131 jay_stein@esource.com Have a question? Ask our experts: www.esource.com/question 14 www.esource.com || © 2012 E Source