SlideShare une entreprise Scribd logo
1  sur  18
Télécharger pour lire hors ligne
Energy Usage Data System



       Kevin Bricknell
     Energy Data Services
      Program Manager


   EEB Hub Regional Data Management
        Working Group Meeting
       Thursday, October 25, 2012
ComEd:
Ø 3.8 Million Electric Customers in Chicago/
   Northern IL
Ø 350,000 Business Customers

Energy Data Services:
ü Energy Insights Online (EIO) - Web Based Energy
   Consumption Tracking
ü Energy Usage Data System (EUDS)
ü Enterprise Service Bus (ESB)
Where Smart Ideas Started . . .

ü  Provides incentives for energy
    efficiency upgrades and
                                       Smart Ideas Energy Efficiency Goals
    equipment
                                                     (MWh)
ü  Part of Illinois energy
                                     1,000,000
    legislation passed in 2007         800,000
                                       600,000
ü  Program implemented by             400,000
    ComEd, Ameren Illinois and         200,000
    the Illinois Department of               0
    Commerce and Economic                        2008 2009 2010 2011 2012 2013

    Opportunity (DCEO)

ü  Now in fifth year of program

ü  Ratepayer funded program
What is Smart Ideas for Your Business?
•  Incentives for energy efficiency upgrades and
   equipment
•  Programs
    •  Retro-Commissioning
    •  Prescriptive and custom incentives
    •  Lighting rebates
    •  New Construction
•  Data Services
    •  Whole building energy data (EUDS)
    •  Energy Insights Online (EIO)
•  Opportunity Assessments
Drivers to Customer Benchmarking:

“Gateway” to Energy Efficiency

  1)  Commission Requirements / Market Transformation

  2)  Billing System - CIMS - Windows Based

  3)  Metering Practices in Service Territory:

     Master metering versus metering & billing of tenants

         -- ComEd compared to PECO

         -- ComEd has buildings with 100+ billed tenants
Energy Usage Data
 System (EUDS)

ü  Enter your Portfolio of
    Commercial Buildings

ü  Automated End to End Data
    Retrieval and Reporting

ü  Export Usage Data for input
    into Portfolio Manager

ü  Secure System and Data
    Transmission
Partnership with:



IT Contractors- On Site at ComEd
  •  Energy Industry Consultants with Hardware/Software expertise
  •  Begin March ‘08, Completed by June ‘08, Rollout October ’08
  •  Automated Benchmarking Enhancement added July 2009
ü Requirements captured from all key stakeholders
  ü LCS Account Managers   ü Customer (Building Mgr)
  ü Marketing              ü Customer Service Reps
  ü IT (ComEd)             ü Billing
  ü EPA                    ü Legal
Functionality Overview

ü One Time and Recurring Data Requests

ü Tenant Verification

ü Whole Building Data Usage Totals per Month
   (kWh)

ü Automatically submit energy usage data to
   Portfolio Manager (ABS)
Login Screen:
Add Building:
Add Request:
Verify Tenants:
Data Returned
-- Submit to ENERGY STAR
Before                          After
     (Manual Process)             (Automated Process)
•  Cost to Customer          •  No Cost to Customer
•  Cycle Time 10-12 Days     •  Cycle Time 1-2 Days
•  Labor Intensive           •  Completely Automated
•  Limited Number of         •  Unlimited Number of
   Requests                     Requests
•  Data Provided Quarterly   •  Monthly Data
   and/or Annually           •  Customer empowered to
•  Customer contacts            obtain data whenever
   ComEd to obtain data         needed
EUDS Results:
                       Total Manual vs Automated Requests
              3500                         5000%
                              Automated

              3000
                     4590%                 4500%
                                           4000%




                                                   Percentage Increase
              2500                                                       Manual Requests
                                           3500%
                                                                         (prior to June 08)
                                           3000%
              2000
   Requests




                                                                         Automated Requests
                                           2500%                         (Post June 08)
              1500
                                           2000%                         % Increase
              1000                         1500%
                                           1000%
               500
                                           500%
                     Manual
                 0                         0%
                      70       3283

  Manual Buildings (<June 2008) vs Automated Buildings (>June 2008)



       582 Building Managers Currently Using EUDS
EUDS Results:
         Cumulative Number of Buildings Added Oct 2008 - August 2012
3500

3000

2500

2000

1500

1000

500

   0




         Manual Buildings (<June 2008) vs Automated Buildings (>June 2008)


       Over 25,000 months of data requests since June 2008
Thank You!
Kevin Bricknell, EDS Program Manager
           (630) 437-3118

    kevin.bricknell@ComEd.com

Contenu connexe

Similaire à Energy Usage Data System

Sensor Data Management & Analytics: Advanced Process Control
Sensor Data Management & Analytics: Advanced Process ControlSensor Data Management & Analytics: Advanced Process Control
Sensor Data Management & Analytics: Advanced Process ControlTIBCO_Software
 
How smart grid metrics will define the modern utility
How smart grid metrics will define the modern utilityHow smart grid metrics will define the modern utility
How smart grid metrics will define the modern utilityrobgirvan
 
Track D Cathrine Lippert - Denmark
Track D   Cathrine Lippert - DenmarkTrack D   Cathrine Lippert - Denmark
Track D Cathrine Lippert - DenmarkePSI Platform
 
The New Role of Data in the Changing Energy & Utilities Landscape
The New Role of Data in the Changing Energy & Utilities LandscapeThe New Role of Data in the Changing Energy & Utilities Landscape
The New Role of Data in the Changing Energy & Utilities LandscapeDenodo
 
The Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionThe Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionCapgemini
 
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...Gladys Kittony
 
User and IoT Data Analytics
User and IoT Data AnalyticsUser and IoT Data Analytics
User and IoT Data AnalyticsEricsson
 
YUPS IoT Product profile
YUPS IoT Product profileYUPS IoT Product profile
YUPS IoT Product profileKrupa Shukla
 
Increasing Role of Technology in Power Distribution: Moving towards Smarter Grid
Increasing Role of Technology in Power Distribution: Moving towards Smarter GridIncreasing Role of Technology in Power Distribution: Moving towards Smarter Grid
Increasing Role of Technology in Power Distribution: Moving towards Smarter GridTata Power Delhi Distribution Limited
 
AI on Demand: Data Science in Operations
AI on Demand: Data Science in OperationsAI on Demand: Data Science in Operations
AI on Demand: Data Science in OperationsAlexa Ienna
 
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.Defining Pace of Urban Development: E-Governance in ULB's and PWD's.
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.Omkar Parishwad
 
Houghton Energy Crisis, Costs and Choices.
Houghton Energy Crisis, Costs and Choices. Houghton Energy Crisis, Costs and Choices.
Houghton Energy Crisis, Costs and Choices. CUSP | Univ of Guelph
 
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017Justin Hayward
 
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected World
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected WorldCloudera - Enabling the IoT Revolution Driving Insights in a Connected World
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected Worldandreas kuncoro
 
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all That
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all ThatJohn Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all That
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all ThatAugmentedWorldExpo
 
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518Maryam Shabro
 
Importance of Data Driven Decision Making in Enterprise Energy Management | D...
Importance of Data Driven Decision Making in Enterprise Energy Management | D...Importance of Data Driven Decision Making in Enterprise Energy Management | D...
Importance of Data Driven Decision Making in Enterprise Energy Management | D...Cairn India Limited
 
Creating a National data Centre Network in India
Creating a National data Centre Network in IndiaCreating a National data Centre Network in India
Creating a National data Centre Network in IndiaShantanu Basu
 

Similaire à Energy Usage Data System (20)

Sensor Data Management & Analytics: Advanced Process Control
Sensor Data Management & Analytics: Advanced Process ControlSensor Data Management & Analytics: Advanced Process Control
Sensor Data Management & Analytics: Advanced Process Control
 
How smart grid metrics will define the modern utility
How smart grid metrics will define the modern utilityHow smart grid metrics will define the modern utility
How smart grid metrics will define the modern utility
 
Webinar: Digitalization & Energy
Webinar:  Digitalization & EnergyWebinar:  Digitalization & Energy
Webinar: Digitalization & Energy
 
Track D Cathrine Lippert - Denmark
Track D   Cathrine Lippert - DenmarkTrack D   Cathrine Lippert - Denmark
Track D Cathrine Lippert - Denmark
 
The New Role of Data in the Changing Energy & Utilities Landscape
The New Role of Data in the Changing Energy & Utilities LandscapeThe New Role of Data in the Changing Energy & Utilities Landscape
The New Role of Data in the Changing Energy & Utilities Landscape
 
The Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionThe Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of production
 
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...
Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Rese...
 
User and IoT Data Analytics
User and IoT Data AnalyticsUser and IoT Data Analytics
User and IoT Data Analytics
 
Application Programming interfaces for Governments: why, what and how
Application Programming interfaces for Governments: why, what and howApplication Programming interfaces for Governments: why, what and how
Application Programming interfaces for Governments: why, what and how
 
YUPS IoT Product profile
YUPS IoT Product profileYUPS IoT Product profile
YUPS IoT Product profile
 
Increasing Role of Technology in Power Distribution: Moving towards Smarter Grid
Increasing Role of Technology in Power Distribution: Moving towards Smarter GridIncreasing Role of Technology in Power Distribution: Moving towards Smarter Grid
Increasing Role of Technology in Power Distribution: Moving towards Smarter Grid
 
AI on Demand: Data Science in Operations
AI on Demand: Data Science in OperationsAI on Demand: Data Science in Operations
AI on Demand: Data Science in Operations
 
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.Defining Pace of Urban Development: E-Governance in ULB's and PWD's.
Defining Pace of Urban Development: E-Governance in ULB's and PWD's.
 
Houghton Energy Crisis, Costs and Choices.
Houghton Energy Crisis, Costs and Choices. Houghton Energy Crisis, Costs and Choices.
Houghton Energy Crisis, Costs and Choices.
 
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017
Global C4IR-1 MasterClass Cambridge - Bose Intellisense 2017
 
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected World
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected WorldCloudera - Enabling the IoT Revolution Driving Insights in a Connected World
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected World
 
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all That
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all ThatJohn Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all That
John Simmins (EPRI): Electric Utility AR: IoT, Smart Cities and all That
 
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518
Johnsimmins 2017-05-31-awe-santaclara-simminsv2-170608224518
 
Importance of Data Driven Decision Making in Enterprise Energy Management | D...
Importance of Data Driven Decision Making in Enterprise Energy Management | D...Importance of Data Driven Decision Making in Enterprise Energy Management | D...
Importance of Data Driven Decision Making in Enterprise Energy Management | D...
 
Creating a National data Centre Network in India
Creating a National data Centre Network in IndiaCreating a National data Centre Network in India
Creating a National data Centre Network in India
 

Plus de Cliff Majersik

Building Energy Performance Data Transforming Markets - EIA 6-16-2015
Building Energy Performance Data Transforming Markets - EIA 6-16-2015Building Energy Performance Data Transforming Markets - EIA 6-16-2015
Building Energy Performance Data Transforming Markets - EIA 6-16-2015Cliff Majersik
 
City Initiatives for Energy Efficiency, SPEER Conference, February.2014
City Initiatives for Energy Efficiency, SPEER Conference, February.2014City Initiatives for Energy Efficiency, SPEER Conference, February.2014
City Initiatives for Energy Efficiency, SPEER Conference, February.2014Cliff Majersik
 
NGA National Governors Assoc: IMT presentation on Benchmarking
NGA National Governors Assoc: IMT presentation on BenchmarkingNGA National Governors Assoc: IMT presentation on Benchmarking
NGA National Governors Assoc: IMT presentation on BenchmarkingCliff Majersik
 
ASHRAE benchmarking presentation by IMT 1-18-2014
ASHRAE benchmarking presentation by IMT 1-18-2014ASHRAE benchmarking presentation by IMT 1-18-2014
ASHRAE benchmarking presentation by IMT 1-18-2014Cliff Majersik
 
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...Cliff Majersik
 
Building Energy Benchmarking and Disclosure in US Cities
Building Energy Benchmarking and Disclosure in US CitiesBuilding Energy Benchmarking and Disclosure in US Cities
Building Energy Benchmarking and Disclosure in US CitiesCliff Majersik
 
PA/NJ codes and building performance policy presentation March 2013
PA/NJ codes and building performance policy presentation March 2013PA/NJ codes and building performance policy presentation March 2013
PA/NJ codes and building performance policy presentation March 2013Cliff Majersik
 
Vision 2020: Cracking the Energy Code
Vision 2020: Cracking the Energy CodeVision 2020: Cracking the Energy Code
Vision 2020: Cracking the Energy CodeCliff Majersik
 
Show Me the Data: Cannon Design Environmental Awareness Week 2012
Show Me the Data: Cannon Design Environmental Awareness Week 2012Show Me the Data: Cannon Design Environmental Awareness Week 2012
Show Me the Data: Cannon Design Environmental Awareness Week 2012Cliff Majersik
 
Using Benchmarking to Catalyze Greater Energy Efficiency
Using Benchmarking to Catalyze Greater Energy EfficiencyUsing Benchmarking to Catalyze Greater Energy Efficiency
Using Benchmarking to Catalyze Greater Energy EfficiencyCliff Majersik
 
Benchmarking, Data, and Utilities
Benchmarking, Data, and UtilitiesBenchmarking, Data, and Utilities
Benchmarking, Data, and UtilitiesCliff Majersik
 
Energy Data and Benchmarking
Energy Data and BenchmarkingEnergy Data and Benchmarking
Energy Data and BenchmarkingCliff Majersik
 
Local Law 84 Automated Benchmarking
Local Law 84 Automated Benchmarking Local Law 84 Automated Benchmarking
Local Law 84 Automated Benchmarking Cliff Majersik
 
The Role of Energy in High-Performance Buildings
The Role of Energy in High-Performance BuildingsThe Role of Energy in High-Performance Buildings
The Role of Energy in High-Performance Buildings Cliff Majersik
 
Utility Data Access-7-27-2012 - IMT for EE Buildings Hub
Utility Data Access-7-27-2012 - IMT for EE Buildings HubUtility Data Access-7-27-2012 - IMT for EE Buildings Hub
Utility Data Access-7-27-2012 - IMT for EE Buildings HubCliff Majersik
 
IMT ppt for DOE's SEEAN webinar 7-26-2012
IMT ppt for DOE's SEEAN webinar 7-26-2012IMT ppt for DOE's SEEAN webinar 7-26-2012
IMT ppt for DOE's SEEAN webinar 7-26-2012Cliff Majersik
 
Building Energy Rating & Disclosure: A Catalyst for Efficiency
Building Energy Rating & Disclosure: A Catalyst for EfficiencyBuilding Energy Rating & Disclosure: A Catalyst for Efficiency
Building Energy Rating & Disclosure: A Catalyst for EfficiencyCliff Majersik
 

Plus de Cliff Majersik (17)

Building Energy Performance Data Transforming Markets - EIA 6-16-2015
Building Energy Performance Data Transforming Markets - EIA 6-16-2015Building Energy Performance Data Transforming Markets - EIA 6-16-2015
Building Energy Performance Data Transforming Markets - EIA 6-16-2015
 
City Initiatives for Energy Efficiency, SPEER Conference, February.2014
City Initiatives for Energy Efficiency, SPEER Conference, February.2014City Initiatives for Energy Efficiency, SPEER Conference, February.2014
City Initiatives for Energy Efficiency, SPEER Conference, February.2014
 
NGA National Governors Assoc: IMT presentation on Benchmarking
NGA National Governors Assoc: IMT presentation on BenchmarkingNGA National Governors Assoc: IMT presentation on Benchmarking
NGA National Governors Assoc: IMT presentation on Benchmarking
 
ASHRAE benchmarking presentation by IMT 1-18-2014
ASHRAE benchmarking presentation by IMT 1-18-2014ASHRAE benchmarking presentation by IMT 1-18-2014
ASHRAE benchmarking presentation by IMT 1-18-2014
 
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...
NAREIT 1.9.2014 US Benchmarking laws, Green building, Property Value and Gree...
 
Building Energy Benchmarking and Disclosure in US Cities
Building Energy Benchmarking and Disclosure in US CitiesBuilding Energy Benchmarking and Disclosure in US Cities
Building Energy Benchmarking and Disclosure in US Cities
 
PA/NJ codes and building performance policy presentation March 2013
PA/NJ codes and building performance policy presentation March 2013PA/NJ codes and building performance policy presentation March 2013
PA/NJ codes and building performance policy presentation March 2013
 
Vision 2020: Cracking the Energy Code
Vision 2020: Cracking the Energy CodeVision 2020: Cracking the Energy Code
Vision 2020: Cracking the Energy Code
 
Show Me the Data: Cannon Design Environmental Awareness Week 2012
Show Me the Data: Cannon Design Environmental Awareness Week 2012Show Me the Data: Cannon Design Environmental Awareness Week 2012
Show Me the Data: Cannon Design Environmental Awareness Week 2012
 
Using Benchmarking to Catalyze Greater Energy Efficiency
Using Benchmarking to Catalyze Greater Energy EfficiencyUsing Benchmarking to Catalyze Greater Energy Efficiency
Using Benchmarking to Catalyze Greater Energy Efficiency
 
Benchmarking, Data, and Utilities
Benchmarking, Data, and UtilitiesBenchmarking, Data, and Utilities
Benchmarking, Data, and Utilities
 
Energy Data and Benchmarking
Energy Data and BenchmarkingEnergy Data and Benchmarking
Energy Data and Benchmarking
 
Local Law 84 Automated Benchmarking
Local Law 84 Automated Benchmarking Local Law 84 Automated Benchmarking
Local Law 84 Automated Benchmarking
 
The Role of Energy in High-Performance Buildings
The Role of Energy in High-Performance BuildingsThe Role of Energy in High-Performance Buildings
The Role of Energy in High-Performance Buildings
 
Utility Data Access-7-27-2012 - IMT for EE Buildings Hub
Utility Data Access-7-27-2012 - IMT for EE Buildings HubUtility Data Access-7-27-2012 - IMT for EE Buildings Hub
Utility Data Access-7-27-2012 - IMT for EE Buildings Hub
 
IMT ppt for DOE's SEEAN webinar 7-26-2012
IMT ppt for DOE's SEEAN webinar 7-26-2012IMT ppt for DOE's SEEAN webinar 7-26-2012
IMT ppt for DOE's SEEAN webinar 7-26-2012
 
Building Energy Rating & Disclosure: A Catalyst for Efficiency
Building Energy Rating & Disclosure: A Catalyst for EfficiencyBuilding Energy Rating & Disclosure: A Catalyst for Efficiency
Building Energy Rating & Disclosure: A Catalyst for Efficiency
 

Energy Usage Data System

  • 1. Energy Usage Data System Kevin Bricknell Energy Data Services Program Manager EEB Hub Regional Data Management Working Group Meeting Thursday, October 25, 2012
  • 2. ComEd: Ø 3.8 Million Electric Customers in Chicago/ Northern IL Ø 350,000 Business Customers Energy Data Services: ü Energy Insights Online (EIO) - Web Based Energy Consumption Tracking ü Energy Usage Data System (EUDS) ü Enterprise Service Bus (ESB)
  • 3. Where Smart Ideas Started . . . ü  Provides incentives for energy efficiency upgrades and Smart Ideas Energy Efficiency Goals equipment (MWh) ü  Part of Illinois energy 1,000,000 legislation passed in 2007 800,000 600,000 ü  Program implemented by 400,000 ComEd, Ameren Illinois and 200,000 the Illinois Department of 0 Commerce and Economic 2008 2009 2010 2011 2012 2013 Opportunity (DCEO) ü  Now in fifth year of program ü  Ratepayer funded program
  • 4. What is Smart Ideas for Your Business? •  Incentives for energy efficiency upgrades and equipment •  Programs •  Retro-Commissioning •  Prescriptive and custom incentives •  Lighting rebates •  New Construction •  Data Services •  Whole building energy data (EUDS) •  Energy Insights Online (EIO) •  Opportunity Assessments
  • 5. Drivers to Customer Benchmarking: “Gateway” to Energy Efficiency 1)  Commission Requirements / Market Transformation 2)  Billing System - CIMS - Windows Based 3)  Metering Practices in Service Territory: Master metering versus metering & billing of tenants -- ComEd compared to PECO -- ComEd has buildings with 100+ billed tenants
  • 6. Energy Usage Data System (EUDS) ü  Enter your Portfolio of Commercial Buildings ü  Automated End to End Data Retrieval and Reporting ü  Export Usage Data for input into Portfolio Manager ü  Secure System and Data Transmission
  • 7. Partnership with: IT Contractors- On Site at ComEd •  Energy Industry Consultants with Hardware/Software expertise •  Begin March ‘08, Completed by June ‘08, Rollout October ’08 •  Automated Benchmarking Enhancement added July 2009 ü Requirements captured from all key stakeholders ü LCS Account Managers ü Customer (Building Mgr) ü Marketing ü Customer Service Reps ü IT (ComEd) ü Billing ü EPA ü Legal
  • 8. Functionality Overview ü One Time and Recurring Data Requests ü Tenant Verification ü Whole Building Data Usage Totals per Month (kWh) ü Automatically submit energy usage data to Portfolio Manager (ABS)
  • 10.
  • 14. Data Returned -- Submit to ENERGY STAR
  • 15. Before After (Manual Process) (Automated Process) •  Cost to Customer •  No Cost to Customer •  Cycle Time 10-12 Days •  Cycle Time 1-2 Days •  Labor Intensive •  Completely Automated •  Limited Number of •  Unlimited Number of Requests Requests •  Data Provided Quarterly •  Monthly Data and/or Annually •  Customer empowered to •  Customer contacts obtain data whenever ComEd to obtain data needed
  • 16. EUDS Results: Total Manual vs Automated Requests 3500 5000% Automated 3000 4590% 4500% 4000% Percentage Increase 2500 Manual Requests 3500% (prior to June 08) 3000% 2000 Requests Automated Requests 2500% (Post June 08) 1500 2000% % Increase 1000 1500% 1000% 500 500% Manual 0 0% 70 3283 Manual Buildings (<June 2008) vs Automated Buildings (>June 2008) 582 Building Managers Currently Using EUDS
  • 17. EUDS Results: Cumulative Number of Buildings Added Oct 2008 - August 2012 3500 3000 2500 2000 1500 1000 500 0 Manual Buildings (<June 2008) vs Automated Buildings (>June 2008) Over 25,000 months of data requests since June 2008
  • 18. Thank You! Kevin Bricknell, EDS Program Manager (630) 437-3118 kevin.bricknell@ComEd.com