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DOE Data Center Energy Efficiency Program and Tool Strategy

DOE Data Center Energy Efficiency Program and Tool Strategy. Paul Scheihing U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Industrial Technologies Program December 18, 2007. Typical Data Center Energy End Use . Power Conversions & Distribution. 100 Units.

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DOE Data Center Energy Efficiency Program and Tool Strategy

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  1. DOE Data Center Energy Efficiency Program and Tool Strategy Paul Scheihing U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Industrial Technologies Program December 18, 2007

  2. Typical Data Center Energy End Use Power Conversions & Distribution 100 Units Cooling Equipment 35 Units Server Load/ComputingOperations 33 UnitsDelivered

  3. Data Center Cooling and Power Conversion Performance Varies Cooling & Power Conversions Cooling & Power Conversions Server Load/ComputingOperations Server Load/ComputingOperations Typical Practice Better Practice

  4. DOE-Green Grid Goal for Energy Savings Goal is 10% overall US data center energy savings by 2011 • 10.7 billion kWh • Equivalent to electricity consumed by 1 million typical U.S. households • Reduces greenhouse gas emissions by 6.5 million metrics tons of CO2 per year Green Grid - DOE Energy Savings Goal; 10.7 billion kWh/yr by 2011

  5. Vision for Energy Efficiency in Data Centers • Establish metrics for overall data center energy intensity • IT and infrastructure • Energy cost ($), source energy (Btu),and carbon emissions (M tons) • Specified Best-in-Class targets forvarious types of data centers • Create tools and guidelines to drivecontinuous improvement • Support third-party certification process to validateenergy intensity improvement and Best-in-Class • Provide recognition for data centers that achievea certain level of energy savings

  6. Save Energy Now: Products & Services Tools Information Process Heating Steam Systems Plant Energy Profiler Motors & Pumps Fans Website Information Center Tip Sheets Case studies Webcasts Assessments Training Energy Savings Assessments Industrial Assessment Centers Basic Advanced Qualified Specialist

  7. 450 Save Energy Now Assessments Were Completed Across United States in 2006 and 2007

  8. DOE Save Energy Now Data Center Program Major Program Elements 1. Develop Software Tool Suite 2. Create consensus metrics 3. Create and publicize Save Energy Now case studiesthrough performing pilot energy assessments 4. Create best practice information and a training curriculum 5. Develop Qualified Specialists program for Data Centers 6. Create guidelines for “Best-in-Class” data center in various classes of data centers, including strategies for incorporating distributed generation technologies

  9. Industrial Technologies Program • Tool suite & metrics • Energy baselining • Training • Qualified specialists • Case studies • Certification of continual improvement • Recognition of high energy savers • Best practice information • Best-in-Class guidelines Federal Energy Management Program • Best practicesshowcased at Federal data centers • Pilot adoption of Best-in-Class guidelines at Federal data centers • Adoption of to-be-developed industry standard for Best-in-Class at newly constructed Federal data centers Industry • Tools • Metrics • Training • Best practice information • Best-in-Class guidelines • IT work productivity standard EPA • Metrics • Server performancerating & ENERGY STAR label • Data center performance benchmarking

  10. Tools and Metrics Help to Find Energy Efficiency Opportunities Better air management Move to liquid cooling Optimized chilled-water plants Use of free cooling Load management Server innovation Power Conversion & Distribution Server Load/ComputingOperations Cooling Equipment On-site generation CHP applications Waste heat for cooling Use of renewable energy Fuel cells High voltage distribution Use of DC power Highly efficient UPS systems Efficient redundancy strategies AlternativePower Generation

  11. Develop Software Tool Suite Tools to define baseline energy use of data centerand identify key energy-saving opportunities • Determine general performance of the data center • Benchmark subsystems • Assess energy savings potential • Track energy intensity improvement • Provide quantification of key metricsincluding cost ($), primary energy(Btu), and carbon

  12. Develop Software Tool Suite Complete 10 pilot assessments to test the Tool Suite, Release beta version Hold industry tool and metrics workshop Complete beta testing and release Version 1.0 Q4 2007 Q1 2008 Q2 2008 Q3 2008 12/18/2007 04/01/2008 08/01/2008 Projected Timeline

  13. Thank You!Paul ScheihingUS DOEpaul.scheihing@ee.doe.govwww.eere.energy.gov/datacenters

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