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Joint Base San Antonio Energy Management Presentation: Virtual Meters

Joint Base San Antonio Energy Management Presentation: Virtual Meters. July 12, 2011. Contents. Definition of the Challenge 3 Solution Development – Virtual Meters 7 Energy Performance Management: Example 10. Definition of the Challenge. EISA Section 432 Requirement.

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Joint Base San Antonio Energy Management Presentation: Virtual Meters

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  1. Joint Base San AntonioEnergy Management Presentation:Virtual Meters July 12, 2011

  2. Contents Definition of the Challenge 3 Solution Development – Virtual Meters 7 Energy Performance Management: Example 10

  3. Definition of the Challenge

  4. EISA Section 432 Requirement EPAct Section 103 Requirement Program Goals and ObjectivesManage energy strategically while achieving and/or exceeding requirements • Installation of advanced electric meters on all federal buildings by 2012 • Criteria for covered facilities • Building, installation, structure or other property • Sum of all covered facilities constitutes at least 75 percent of facility energy use at each agency • Minus “exclusions” • Energy and water evaluations undertaken at covered facilities • Estimated cost and savings for measures to be implemented in a facility • Implementation of identified energy and water efficiency investments or energy conservation measures (ECMs) • Measured savings and persistence of savings for implemented measures • Facility benchmarking Strategic energy management goes beyond reporting to achieve agency mission goals and objectives 4 © 2010 Deloitte Global Services Limited

  5. The Facilities Scoping ChallengeManage “covered” and “excluded” facilities to lower consumption and costs Data Coverage Example Facilities Covered Remaining unallocated facilities Metered points Exempt

  6. The Data Challenge Liberate data to achieve program objectives and assure bankable results + Utility Management Budget and Finance Data Operations Management + Virtual Meter Analytics Project Identification Utility Meter Data Real Property Data Performance Reporting Cost Management Facilities Condition Data Facilities Planning +

  7. Solution Development – Virtual Meters

  8. Actionable Insights and Intelligent Decision MakingEngineer durable and repeatable processes supported by best-in-class tools Progress-to-date Data Mining and Data Quality Energy Intensity Modeling Installation Goal Estimates Lifecycle Cost Modeling Description Potential NPV Cost per Technology and Building Type Potential KBTU Savings per Technology and Building Type Virtual Meter Heat Map per Installation Illustrative

  9. Performance Management by Defined Parameters Managing performance and accountability with localized flexibility Benchmarking to CBECS and EnergyPlus EIA CBECs Property Data Primary Asset Type Identifier Number Map #1 Secondary Asset Type Facility Name Predominant Design Use Code Map #2 Matched Identifier Numbers EnergyPlus Facility Description Asset Type Facility Area in Sq. Ft. Asset Type Average Energy Intensity Meter Data Map #3: For facilities that did not map clearly to an ASHRAE asset type, energy intensity was calculated and used to help map to a similarly energy intensive asset type Identifier Number Facility Energy Use

  10. Installation Energy Performance Management – Example

  11. Installation Consumption Example (mbtu)

  12. Installation Performance Example (EnergyPlus benchmarks)

  13. Installation Portfolio Approach Goals Example: 35% Reduction Capex = $25.3M

  14. Questions

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