SlideShare une entreprise Scribd logo
1  sur  14
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

Contenu connexe

En vedette

Mass tlc big data presentation from enernoc
Mass tlc big data presentation from enernocMass tlc big data presentation from enernoc
Mass tlc big data presentation from enernoc
MassTLC
 
Energy Challenges in Eastern Europe and CIS
Energy Challenges in Eastern Europe and CISEnergy Challenges in Eastern Europe and CIS
Energy Challenges in Eastern Europe and CIS
UNDP Eurasia
 
Real-time Energy Data Analytics with Storm
Real-time Energy Data Analytics with StormReal-time Energy Data Analytics with Storm
Real-time Energy Data Analytics with Storm
DataWorks Summit
 
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
ajrossman
 

En vedette (12)

Mass tlc big data presentation from enernoc
Mass tlc big data presentation from enernocMass tlc big data presentation from enernoc
Mass tlc big data presentation from enernoc
 
Big Energy Data = Big Opportunity
Big Energy Data = Big OpportunityBig Energy Data = Big Opportunity
Big Energy Data = Big Opportunity
 
Big Data Energy Management for Big Buildings
Big Data Energy Management for Big BuildingsBig Data Energy Management for Big Buildings
Big Data Energy Management for Big Buildings
 
Effective Energy Management System
Effective Energy Management System Effective Energy Management System
Effective Energy Management System
 
Energy Challenges in Eastern Europe and CIS
Energy Challenges in Eastern Europe and CISEnergy Challenges in Eastern Europe and CIS
Energy Challenges in Eastern Europe and CIS
 
Real-time Energy Data Analytics with Storm
Real-time Energy Data Analytics with StormReal-time Energy Data Analytics with Storm
Real-time Energy Data Analytics with Storm
 
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
BBD Presentation - Using Standards and Technology to Create Efficiency in Ene...
 
Energy efficiency data center overview
Energy efficiency data center overviewEnergy efficiency data center overview
Energy efficiency data center overview
 
Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015
Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015
Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015
 
Solving the global energy challenge with energy efficiency, innovation and te...
Solving the global energy challenge with energy efficiency, innovation and te...Solving the global energy challenge with energy efficiency, innovation and te...
Solving the global energy challenge with energy efficiency, innovation and te...
 
Smarter Energy, Infrastruture service, consumtion analytics and applications
Smarter Energy, Infrastruture service, consumtion analytics and applicationsSmarter Energy, Infrastruture service, consumtion analytics and applications
Smarter Energy, Infrastruture service, consumtion analytics and applications
 
Energy analytics with Apache Spark workshop
Energy analytics with Apache Spark workshopEnergy analytics with Apache Spark workshop
Energy analytics with Apache Spark workshop
 

Plus de E Source Companies, LLC

Plus de E Source Companies, LLC (20)

3 Best Practices in Utility Bill Redesign
3 Best Practices in Utility Bill Redesign3 Best Practices in Utility Bill Redesign
3 Best Practices in Utility Bill Redesign
 
Reduce Costs and Efficiently Handle High-Volume Customer Transactions with Jo...
Reduce Costs and Efficiently Handle High-Volume Customer Transactions with Jo...Reduce Costs and Efficiently Handle High-Volume Customer Transactions with Jo...
Reduce Costs and Efficiently Handle High-Volume Customer Transactions with Jo...
 
How Can Utilities Better Serve Up Energy-Efficiency Programs to Small Restaur...
How Can Utilities Better Serve Up Energy-Efficiency Programs to Small Restaur...How Can Utilities Better Serve Up Energy-Efficiency Programs to Small Restaur...
How Can Utilities Better Serve Up Energy-Efficiency Programs to Small Restaur...
 
Did You Meet Your DSM Goals in 2015?
Did You Meet Your DSM Goals in 2015?Did You Meet Your DSM Goals in 2015?
Did You Meet Your DSM Goals in 2015?
 
Increase Customer Participation in Value-Added Programs with Journey Mapping
Increase Customer Participation in Value-Added Programs with Journey MappingIncrease Customer Participation in Value-Added Programs with Journey Mapping
Increase Customer Participation in Value-Added Programs with Journey Mapping
 
The Critical Relationship Between DSM Programs and Customer Experience
The Critical Relationship Between DSM Programs and Customer ExperienceThe Critical Relationship Between DSM Programs and Customer Experience
The Critical Relationship Between DSM Programs and Customer Experience
 
Ten DSM Topics That Made Waves in 2016
Ten DSM Topics That Made Waves in 2016Ten DSM Topics That Made Waves in 2016
Ten DSM Topics That Made Waves in 2016
 
Using Segmentation to Personalize Low-Income Program Outreach and Increase Pa...
Using Segmentation to Personalize Low-Income Program Outreach and Increase Pa...Using Segmentation to Personalize Low-Income Program Outreach and Increase Pa...
Using Segmentation to Personalize Low-Income Program Outreach and Increase Pa...
 
Growing Pains: How Utilities Are Meeting Increasing Efficiency Goals
Growing Pains: How Utilities Are Meeting Increasing Efficiency GoalsGrowing Pains: How Utilities Are Meeting Increasing Efficiency Goals
Growing Pains: How Utilities Are Meeting Increasing Efficiency Goals
 
E Source Forum: A Compilation of Insights from 2016
E Source Forum: A Compilation of Insights from 2016E Source Forum: A Compilation of Insights from 2016
E Source Forum: A Compilation of Insights from 2016
 
E Source Forum: A Compilation of Insights from 2015
E Source Forum: A Compilation of Insights from 2015E Source Forum: A Compilation of Insights from 2015
E Source Forum: A Compilation of Insights from 2015
 
An Integrated Individual-Organization Approach to Change Management
An Integrated Individual-Organization Approach to Change ManagementAn Integrated Individual-Organization Approach to Change Management
An Integrated Individual-Organization Approach to Change Management
 
Integrating Change Management and Project Management
Integrating Change Management and Project ManagementIntegrating Change Management and Project Management
Integrating Change Management and Project Management
 
How Utilities Can Reduce Costs and Efficiently Handle High-Volume Customer Tr...
How Utilities Can Reduce Costs and Efficiently Handle High-Volume Customer Tr...How Utilities Can Reduce Costs and Efficiently Handle High-Volume Customer Tr...
How Utilities Can Reduce Costs and Efficiently Handle High-Volume Customer Tr...
 
Reaching Small Business Customers: Successful Strategies and the Ones That Go...
Reaching Small Business Customers: Successful Strategies and the Ones That Go...Reaching Small Business Customers: Successful Strategies and the Ones That Go...
Reaching Small Business Customers: Successful Strategies and the Ones That Go...
 
Engaging SMB Customers
Engaging SMB CustomersEngaging SMB Customers
Engaging SMB Customers
 
Engaging SMB Customers: Some Really Cool Ideas (Barrett)
Engaging SMB Customers: Some Really Cool Ideas (Barrett)Engaging SMB Customers: Some Really Cool Ideas (Barrett)
Engaging SMB Customers: Some Really Cool Ideas (Barrett)
 
Residential Energy Segmentation
Residential Energy SegmentationResidential Energy Segmentation
Residential Energy Segmentation
 
Achieve Your Potential: Segmentation for Business Customer Experience and Ene...
Achieve Your Potential: Segmentation for Business Customer Experience and Ene...Achieve Your Potential: Segmentation for Business Customer Experience and Ene...
Achieve Your Potential: Segmentation for Business Customer Experience and Ene...
 
Channel Surfing: Optimize Your Omnichannel Experience
Channel Surfing: Optimize Your Omnichannel ExperienceChannel Surfing: Optimize Your Omnichannel Experience
Channel Surfing: Optimize Your Omnichannel Experience
 

Dernier

Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
panagenda
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
Muhammad Subhan
 

Dernier (20)

Design and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data ScienceDesign and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data Science
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Introduction to FIDO Authentication and Passkeys.pptx
Introduction to FIDO Authentication and Passkeys.pptxIntroduction to FIDO Authentication and Passkeys.pptx
Introduction to FIDO Authentication and Passkeys.pptx
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
 
Top 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development CompaniesTop 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development Companies
 
2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch Tuesday
 
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptx
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
Secure Zero Touch enabled Edge compute with Dell NativeEdge via FDO _ Brad at...
 
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
Easier, Faster, and More Powerful – Alles Neu macht der Mai -Wir durchleuchte...
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
 
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russePortal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage Intacct
 

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