National Library of Energy BETA

Sample records for megawat thours mwh

  1. Property:Ind sales (mwh) | Open Energy Information

    Open Energy Info (EERE)

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  2. Property:Building/SPPurchasedEngyForPeriodMwhYrWoodChips | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips Jump to: navigation,

  3. Property:Building/SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips Jump to: navigation,Energy

  4. Property:Building/SPPurchasedEngyNrmlYrMwhYrLogs | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips Jump to:

  5. Property:Building/SPPurchasedEngyNrmlYrMwhYrNaturalGas | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips Jump to:Information

  6. Property:Building/SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips Jump

  7. Property:Building/SPPurchasedEngyNrmlYrMwhYrPellets | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips JumpInformation

  8. Property:Building/SPPurchasedEngyNrmlYrMwhYrTotal | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChips

  9. Property:Building/SPPurchasedEngyNrmlYrMwhYrTownGas | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation SPPurchasedEngyForPeriodMwhYrWoodChipsInformation

  10. QER- Comment of MWH Global

    Broader source: Energy.gov [DOE]

    Hello, Was looking at the calendar and curious when the “Final Meeting” is in DC for the QER? http://energy.gov/epsa/initiatives/quadrennial-energy-review-qer Thanks,

  11. Property:Com sales (mwh) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio1975)EnergyFloorAreaOfficesCollaborators Jump to:

  12. Property:Res sales (mwh) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource HistoryPotentialRuralUtilityScalePVGeneration Jump to: navigation,PowerAdvancedBiofuelEnergyrev

  13. Property:Tot sales (mwh) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource HistoryPotentialRuralUtilityScalePVGeneration Jump to:SpatialResolution Jump to:ResourceToolComplexitysales

  14. Property:Oth sales (mwh) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url Jump to: navigation,News/LinkUtility Jump to:rev

  15. Total Cost Per MwH for all common large scale power generation...

    Open Energy Info (EERE)

    out of the stack, toxificaiton of the lakes and streams, plant decommision costs. For nuclear yiou are talking about managing the waste in perpetuity. The plant decomission costs...

  16. ,,,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard Errors for Table 5.7;"

  17. ,,,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard Errors for Table

  18. ,,,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Customers",,,,,"Energy Sold Back MWh"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard Errors for

  19. Total Cost Per MwH for all common large scale power generation sources |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc JumpHeterInformation PolicyTinna GroupToppan Printing Co LtdChinaOpenEI

  20. Property:Building/SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal Jump to: navigation,

  1. Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtColg | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal Jump to:

  2. Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtHeating | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal Jump to:Information

  3. Property:Building/SPPurchasedEngyForPeriodMwhYrElctrtyTotal | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal Jump

  4. Property:Building/SPPurchasedEngyForPeriodMwhYrNaturalGas | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal JumpInformation

  5. Property:Building/SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal JumpInformationEnergy

  6. Property:Building/SPPurchasedEngyForPeriodMwhYrOther | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotal

  7. Property:Building/SPPurchasedEngyForPeriodMwhYrPellets | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotalInformation

  8. Property:Building/SPPurchasedEngyForPeriodMwhYrTotal | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterlyInformationSPElectrtyUsePercTotalInformationInformation

  9. Property:Building/SPPurchasedEngyForPeriodMwhYrTownGas | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII

  10. Property:Building/SPPurchasedEngyNrmlYrMwhYrWoodChips | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformation

  11. The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    lead acid absorption solar photo- storage batteries chillerMWh) adopted solar thermal (MW) adopted heat storage (MWh)MWh) adopted solar thermal (MW) adopted heat storage (MWh)

  12. Bellavista Geothermal Power Station | Open Energy Information

    Open Energy Info (EERE)

    Generation Delivered to Grid (MWh) Plant Parasitic Consumption (MWh) Well-Field Parasitic Consumption (MWh) Well Field Number of Production Wells (total) Number of Injection Wells...

  13. Promoting electricity from renewable energy sources -- lessons learned from the EU, U.S. and Japan

    E-Print Network [OSTI]

    Haas, Reinhard

    2008-01-01

    15 : 28-82 €/MWh; Wind Offshore 16 : 30-130 €/MWhHydro 17 :84.6 €/MWh (islands); Wind offshore: 90 €/MWh (mainland andothers) Sewage gas Onshore wind Offshore Hydro wind < 20 MW

  14. "YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","NUMBER OF RESIDENTIAL AMR METERS","NUMBER OF COMMERCIAL AMR METERS","NUMBER OF INDUSTRIAL AMR METERS","NUMBER OF TRANSPORTATION AMR METERS","TOTAL NUMBER OF AMR METERS","NUMBER OF RESIDENTIAL AMI METERS","NUMBER OF COMMERCIAL AMI METERS","NUMBER OF INDUSTRIAL AMI METERS","NUMBER OF TRANSPORTATION AMI METERS","TOTAL NUMBER OF AMI METERS","RESIDENTIAL ENERGY SERVED THRU AMI METERS (MWh)","COMMERCIAL ENERGY SERVED THRU AMI METERS (MWh)","INDUSTRIAL ENERGY SERVED THRU AMI METERS (MWh)","TRANSPORTATION ENERGY SERVED THRU AMI METERS (MWh)","TOTAL ENERGY SERVED THRU AMI METERS (MWh)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG,

  15. "YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","NUMBER OF RESIDENTIAL AMR METERS","NUMBER OF COMMERCIAL AMR METERS","NUMBER OF INDUSTRIAL AMR METERS","NUMBER OF TRANSPORTATION AMR METERS","TOTAL NUMBER OF AMR METERS","NUMBER OF RESIDENTIAL AMI METERS","NUMBER OF COMMERCIAL AMI METERS","NUMBER OF INDUSTRIAL AMI METERS","NUMBER OF TRANSPORTATION AMI METERS","TOTAL NUMBER OF AMI METERS","RESIDENTIAL ENERGY SERVED THRU AMI METERS (MWh)","COMMERCIAL ENERGY SERVED THRU AMI METERS (MWh)","INDUSTRIAL ENERGY SERVED THRU AMI METERS (MWh)","TRANSPORTATION ENERGY SERVED THRU AMI METERS (MWh)","TOTAL ENERGY SERVED THRU AMI METERS (MWh)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG,2,1,"AK",213,"Alaska

  16. Economic and Emissions Implications of Load-Based, Source-based and First-seller Emissions Trading Programs under California AB32

    E-Print Network [OSTI]

    Chen, Yihsu; Liu, Andrew L.; Hobbs, Benjamin F.

    2008-01-01

    Rate [kgs/MWh] COST CO2 Cost[$/MWh] ZoneA ZoneC CumulativeCapacity [MW] Emissions Rate [kgs/MWh] COST CO2 COSTCO2 Emissions Rate [kgs/MWh] Cost[$/MWh] Cost[$/MWh

  17. "Utility Characteristics",,,,,,"Number AMR- Automated Meter Reading",,,,,"Number AMI- Advanced Metering Infrastructure",,,,,"Energy Served - AMI (MWh)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG, Distillate6. Total1.6.6.9.USEnergy

  18. Revealing the Hidden Value that the Federal Investment Tax Credit and Treasury Cash Grant Provide To Community Wind Projects

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2011-01-01

    in terms of 20-year levelized LCOE) for both the StrategicITC Loss Loss Results: Strategic Flip LCOE Delta ($/MWh) ($/Results: Cooperative LLC LCOE Delta ($/MWh) ($/MWh) Total

  19. Technical Report NREL/TP-6A2-48258

    E-Print Network [OSTI]

    Emissions Trading Scheme (European Union) EU European Union GHG greenhouse gas ITC investment tax credit MWh

  20. Call for Nominations to the WTERT/SUR 2010 Awards -February 22, 2010

    E-Print Network [OSTI]

    Columbia University

    electricity from LFG: MWh of district/other heating from LFG: Additional information: The definition of "city of MSW composted: Tons MSW to Waste-to-Energy (WTE or EfW): MWh electricity from WTE/EfW: MWh of district/other heating from WTE/EfW: Tons of MSW landfilled: Tons of MSW landfilled with Landfill Gas Recovery: MWh

  1. "Utility Characteristics",,,,,,"Number AMR- Automated Meter Reading",,,,,"Number AMI- Advanced Metering Infrastructure",,,,,"Non AMR/AMI Meters",,,,,"Total Numbers of Meters",,,,,"Energy Served - AMI (MWh)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG, Distillate6.

  2. "Utility Characteristics",,,,,,"Number AMR- Automated Meter Reading",,,,,"Number AMI- Advanced Metering Infrastructure",,,,,"Non AMR/AMI Meters",,,,,"Total Numbers of Meters",,,,,"Energy Served - AMI (MWh)"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981"0. Total Consumption of LPG, Distillate6.5,1,213,"Alaska

  3. EPRI Site Selection Report

    Energy Savers [EERE]

    than 2,000,000 MWh of electricity. By FY 2020, based on the sustainability plan, this electricity consumption is projected to grow to approximately 3,250,000 MWh. The current...

  4. A Green Prison: Santa Rita Jail Creeps Towards Zero Net Energy (ZNE)

    E-Print Network [OSTI]

    Marnay, Chris

    2011-01-01

    is electric storage, in the form of a 12 MWh battery bankstorage is installed, LBNL intends to deliver week-ahead optimized batteryStorage Previously, a 2 MW 12 MWh NGK sodium-sulfur (NaS) battery

  5. Application of the Software as a Service Model to the Control of Complex Building Systems

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    is electric storage, in the form of a 12 MWh battery bankstorage is installed, LBNL intends to deliver week-ahead optimized batteryStorage Previously, a 2 MW 12 MWh NGK sodium-sulfur (NaS) battery

  6. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01

    1.9.2 Natural Gas Units by Heat-Rate . . . 1.9.3 RenewableDistribution of Hourly Heat Rates for Natural Gas UnitsCapacity (MWh) Average Heat Rate (MMBtu/MWh) Average CO 2

  7. Three Essays on Environmental and Development Economics

    E-Print Network [OSTI]

    Chong, Howard G.

    2011-01-01

    hydro or nuclear intensive firms Fortum, British Energy, andCarbon per MWh per Equity Fortum Verbundgesellschaft British

  8. Subcontract Report NREL/SR-7A2-48318

    E-Print Network [OSTI]

    Wh kilowatt-hour LED light emitting diode MECO Maui Electric Company MWh megawatt-hour NAECA National

  9. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.

    E-Print Network [OSTI]

    kilowatt LCOE levelized cost of energy MECO Maui Electric Company MSW municipal solid waste MW megawatt MWh

  10. Supplemental Report of the Oversupply Technical Oversight November 15, 2012

    E-Print Network [OSTI]

    the average cost of displacing wind in 2012 to be approximately $12 million, solutions must be very low cost Management Protocol totaled around 49,600 MWh vs 97,500 MWh in 2011. The cost to wind project owners, with 300,000 MWh of wind displacement. The OTOC took note of the fact that actual Oversupply costs in 2012

  11. Carnegie Mellon University CARNEGIE INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    CO2 emissions. The costs of variability are dependent on technology type. Variability cost for solar PV is $8-11/MWh, for solar thermal it is $5/MWh, and for wind it is around $4/MWh. Variability adds ~$15/tonne CO2 to the cost of abatement for solar thermal power, $25 for wind, and $33-$40 for PV

  12. Emissions Reduction Impact of Renewables 

    E-Print Network [OSTI]

    Haberl, J. S.; Yazdani, B.; Culp, C.

    2012-01-01

    Laboratory ? 2012 p. 25 Energy Systems Laboratory ? 2012 NOx REDUCTIONS FROM WIND POWER New 2010 Annual eGrid for NOx Emissions West Zone North Zone Houston Zone South Zone Unit: lbs of NOx/MWh Unit: lbs of NOx/MWh Unit: lbs of NOx/MWh Unit: lbs... of NOx/MWh Unit: lbs of NOx/MWh p. 26 Energy Systems Laboratory ? 2012 NOx REDUCTIONS FROM WIND POWER New 2010 OSD eGrid for NOx Emissions Unit: Tons of NOx/OSD p. 27 Energy Systems Laboratory ? 2012 p. 28 Energy Systems Laboratory ? 2012 p...

  13. Regional GHG Emissions O tlook Greenhouse Gas and the Regional

    E-Print Network [OSTI]

    demand The model can also track CO2 emissions heat rates, emission rates, hydro shapes... Fuel prices Emission Rate Load Heat Rate 10 mmbtu/MWh Fuel 80,000 mmbtu Combined Cycle Plant 212 lb/mmbtu Emission Rate 4 8,000 MWh Load Heat Rate 7 mmbtu/MWh Fuel 56,000 mmbtu 3,276 tons CO2 Emission Rate 117 lb

  14. Energy Efficiency Improvement and Cost Saving Opportunities for the U.S. Iron and Steel Industry An ENERGY STAR(R) Guide for Energy and Plant Managers

    E-Print Network [OSTI]

    Worrell, Ernst

    2011-01-01

    The energy savings were estimated at 58% per year (Hydraulicmonths by energy savings of 36 MWh (2%) per year (Hydraulicenergy. Proper maintenance includes the following (Hydraulic

  15. The Potential for Avoided Emissions from Photovoltaic Electricity in the United States

    E-Print Network [OSTI]

    Zhai, Pei

    2014-01-01

    factor is defined as hourly generation (Watt) divided bygeothermal, and (3) hourly generation from solar and windoutput including hourly generation (MWh) from coal, natural

  16. Council's Regional Hydropower Potential Scoping

    E-Print Network [OSTI]

    Hydroelectric Association Lisa Larson, HDR Rick Miller, HDR Discussion of analysis Reaction? 2 #12;Objective Northwest Hydroelectric Association HDR, Inc. MWH Global Black & Veatch Bonneville Environmental

  17. 0 5 10 15 20 Radial build

    E-Print Network [OSTI]

    .500e+08 Pa Costs: Cost of electricity = 212.85 $/MWh Constructed cost = 7476.00 M$ Total capex = 8597

  18. Does Daylight Saving Time Save Energy? Evidence from a Natural Experiment in Indiana

    E-Print Network [OSTI]

    Kotchen, Matthew J; Grant, Laura E.

    2008-01-01

    small changes in electricity consumption. Table 8: Thethe DST change in electricity consumption of 166,217 MWh/DST effects on electricity consumption in the United States

  19. PROJECTS FROM FEDERAL REGION IX DOE APPROPRIATE ENERGY TECHNOLOGY PILOT PROGRAM - PART I

    E-Print Network [OSTI]

    Case, C.W.

    2011-01-01

    hydroelectric devices, geothermal systems, and integratedscale application of a geothermal system for domestic hotsavings from this geothermal system should be about 780 MWh

  20. Aggieland Orchestra - 5 

    E-Print Network [OSTI]

    Unknown

    2006-01-01

    (wind); and 336,046 MWh/year (2.5%) from residential SEER 13 air conditioner retrofits. In 2011, the total integrated OSD electricity savings from all programs is calculated to be 36,076 MWh/day, which would be a 1,503 MW average hourly load... from all programs is calculated to be 8,336,472 MWh/year. The integrated annual electricity savings from all the different programs is: 1,026,244 MWh/year (5.6% of the total electricity savings) from code-compliant residential and commercial...

  1. Optimal Control of Distributed Energy Resources and Demand Response under Uncertainty

    E-Print Network [OSTI]

    Siddiqui, Afzal

    2010-01-01

    follows: • EDemand t : electricity demand during day t (incost of reducing electricity demand (in $/MWh e ) • HRDCost:maximum fraction of electricity demand to be met by demand

  2. Modeling of Plug-in Electric Vehicles Interactions with a Sustainable Community Grid in the Azores

    E-Print Network [OSTI]

    Mendes, Goncalo

    2013-01-01

    in additional PV and battery storage. Keywords: Distributedelectrical stationary battery storage with the main goal ofof 1.3MWh of stationary battery storage 7 . This highly

  3. Hydrogen, Hydrocarbons, and Bioproduct Precursors from Wastewaters...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Colorado Boulder Anaerobic MBR: Challenges and Opportunities, Art Umble, MWH Americas Microbial Fuel Cell Technologies-MxCs: Can They Scale? Bruce Logan, Penn State University...

  4. Alabama Nuclear Profile - Joseph M Farley

    U.S. Energy Information Administration (EIA) Indexed Site

    Joseph M Farley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. South Carolina Nuclear Profile - H B Robinson

    U.S. Energy Information Administration (EIA) Indexed Site

    H B Robinson" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  6. Iowa Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  7. Ohio Nuclear Profile - Perry

    U.S. Energy Information Administration (EIA) Indexed Site

    Perry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  8. Illinois Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  9. Illinois Nuclear Profile - Byron Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Byron Generating Station" ,"Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  10. South Carolina Nuclear Profile - V C Summer

    U.S. Energy Information Administration (EIA) Indexed Site

    V C Summer" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. Virginia Nuclear Profile - Surry

    U.S. Energy Information Administration (EIA) Indexed Site

    Surry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  12. Arkansas Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  13. Wisconsin Nuclear Profile - Point Beach Nuclear Plant

    U.S. Energy Information Administration (EIA) Indexed Site

    Point Beach Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  14. New York Nuclear Profile - Nine Mile Point Nuclear Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Nine Mile Point Nuclear Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  15. Illinois Nuclear Profile - Dresden Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Dresden Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  16. Michigan Nuclear Profile - Palisades

    U.S. Energy Information Administration (EIA) Indexed Site

    Palisades" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. Iowa Nuclear Profile - Duane Arnold Energy Center

    U.S. Energy Information Administration (EIA) Indexed Site

    Duane Arnold Energy Center" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  18. Ohio Nuclear Profile - Davis Besse

    U.S. Energy Information Administration (EIA) Indexed Site

    Davis Besse" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  19. Pennsylvania Nuclear Profile - Peach Bottom

    U.S. Energy Information Administration (EIA) Indexed Site

    Peach Bottom" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  20. New Jersey Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  1. Nebraska Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  2. Pennsylvania Nuclear Profile - Limerick

    U.S. Energy Information Administration (EIA) Indexed Site

    Limerick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  3. New Jersey Nuclear Profile - PSEG Salem Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    PSEG Salem Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  4. Florida Nuclear Profile - Crystal River

    U.S. Energy Information Administration (EIA) Indexed Site

    Crystal River1" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. Tennessee Nuclear Profile - Sequoyah

    U.S. Energy Information Administration (EIA) Indexed Site

    Sequoyah" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  6. Louisiana Nuclear Profile - Waterford 3

    U.S. Energy Information Administration (EIA) Indexed Site

    Waterford 3" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  7. Washington Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Washington nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  8. New York Nuclear Profile - James A Fitzpatrick

    U.S. Energy Information Administration (EIA) Indexed Site

    James A Fitzpatrick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  9. Mississippi Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Mississippi nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  10. Virginia Nuclear Profile - North Anna

    U.S. Energy Information Administration (EIA) Indexed Site

    North Anna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. Illinois Nuclear Profile - Braidwood Generation Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Braidwood Generation Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  12. Maryland Nuclear Profile - Calvert Cliffs Nuclear Power Plant

    U.S. Energy Information Administration (EIA) Indexed Site

    Calvert Cliffs Nuclear Power Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  13. Texas Nuclear Profile - Comanche Peak

    U.S. Energy Information Administration (EIA) Indexed Site

    Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  14. North Carolina Nuclear Profile - Harris

    U.S. Energy Information Administration (EIA) Indexed Site

    Harris" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  15. Connecticut Nuclear Profile - Millstone

    U.S. Energy Information Administration (EIA) Indexed Site

    Millstone" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  16. Texas Nuclear Profile - South Texas Project

    U.S. Energy Information Administration (EIA) Indexed Site

    South Texas Project" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. Connecticut Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  18. New York Nuclear Profile - Indian Point

    U.S. Energy Information Administration (EIA) Indexed Site

    Indian Point" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  19. New Jersey Nuclear Profile - PSEG Hope Creek Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    PSEG Hope Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  20. Minnesota Nuclear Profile - Prairie Island

    U.S. Energy Information Administration (EIA) Indexed Site

    Prairie Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  1. South Carolina Nuclear Profile - Oconee

    U.S. Energy Information Administration (EIA) Indexed Site

    Oconee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  2. California Nuclear Profile - San Onofre Nuclear Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  3. Maryland Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  4. Missouri Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  5. Florida Nuclear Profile - Turkey Point

    U.S. Energy Information Administration (EIA) Indexed Site

    Turkey Point" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  6. Kansas Nuclear Profile - Wolf Creek Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    April 2012" "Next Release Date: February 2013" "Wolf Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor...

  7. New York Nuclear Profile - R E Ginna Nuclear Power Plant

    U.S. Energy Information Administration (EIA) Indexed Site

    R E Ginna Nuclear Power Plant" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License...

  8. Virginia Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  9. Florida Nuclear Profile - St Lucie

    U.S. Energy Information Administration (EIA) Indexed Site

    St Lucie" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  10. Arizona Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  11. Alabama Nuclear Profile - Browns Ferry

    U.S. Energy Information Administration (EIA) Indexed Site

    Browns Ferry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  12. California Nuclear Profile - Diablo Canyon

    U.S. Energy Information Administration (EIA) Indexed Site

    Diablo Canyon" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  13. Pennsylvania Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  14. Nebraska Nuclear Profile - Cooper

    U.S. Energy Information Administration (EIA) Indexed Site

    Cooper" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  15. Michigan Nuclear Profile - Fermi

    U.S. Energy Information Administration (EIA) Indexed Site

    Fermi" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  16. South Carolina Nuclear Profile - Catawba

    U.S. Energy Information Administration (EIA) Indexed Site

    Catawba" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. New York Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  18. Florida Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  19. Ohio Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  20. Pennsylvania Nuclear Profile - Beaver Valley

    U.S. Energy Information Administration (EIA) Indexed Site

    Beaver Valley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  1. Michigan Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  2. California Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    California nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  3. Alabama Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  4. Mississippi Nuclear Profile - Grand Gulf

    U.S. Energy Information Administration (EIA) Indexed Site

    Grand Gulf" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. Arizona Nuclear Profile - Palo Verde

    U.S. Energy Information Administration (EIA) Indexed Site

    Palo Verde" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  6. Illinois Nuclear Profile - Clinton Power Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Clinton Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  7. Georgia Nuclear Profile - Edwin I Hatch

    U.S. Energy Information Administration (EIA) Indexed Site

    Edwin I Hatch" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  8. North Carolina Nuclear Profile - McGuire

    U.S. Energy Information Administration (EIA) Indexed Site

    McGuire" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  9. Tennessee Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  10. North Carolina Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  11. Massachusetts Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  12. New Jersey Nuclear Profile - Oyster Creek

    U.S. Energy Information Administration (EIA) Indexed Site

    Oyster Creek" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  13. Washington Nuclear Profile - Columbia Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Columbia Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  14. Georgia Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  15. Vermont Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  16. Pennsylvania Nuclear Profile - Three Mile Island

    U.S. Energy Information Administration (EIA) Indexed Site

    Three Mile Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. Wisconsin Nuclear Profile - Kewaunee

    U.S. Energy Information Administration (EIA) Indexed Site

    Kewaunee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License expiration date"...

  18. Georgia Nuclear Profile - Vogtle

    U.S. Energy Information Administration (EIA) Indexed Site

    Vogtle" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  19. Illinois Nuclear Profile - LaSalle Generating Station

    U.S. Energy Information Administration (EIA) Indexed Site

    LaSalle Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  20. Tennessee Nuclear Profile - Watts Bar Nuclear Plant

    U.S. Energy Information Administration (EIA) Indexed Site

    Watts Bar Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  1. Massachusetts Nuclear Profile - Pilgrim Nuclear Power Station

    U.S. Energy Information Administration (EIA) Indexed Site

    Pilgrim Nuclear Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License...

  2. Louisiana Nuclear Profile - River Bend

    U.S. Energy Information Administration (EIA) Indexed Site

    River Bend" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  3. Kansas Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Kansas nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  4. Texas Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

  5. Missouri Nuclear Profile - Callaway

    U.S. Energy Information Administration (EIA) Indexed Site

    Callaway" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  6. Minnesota Nuclear Profile - Monticello

    U.S. Energy Information Administration (EIA) Indexed Site

    Monticello" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  7. Arkansas Nuclear Profile - Arkansas Nuclear One

    U.S. Energy Information Administration (EIA) Indexed Site

    Nuclear One" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  8. South Carolina Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    South Carolina nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

  9. New Hampshire Nuclear Profile - Seabrook

    U.S. Energy Information Administration (EIA) Indexed Site

    Seabrook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  10. Michigan Nuclear Profile - Donald C Cook

    U.S. Energy Information Administration (EIA) Indexed Site

    Donald C Cook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. Minnesota Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  12. Vermont Nuclear Profile - Vermont Yankee

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont Yankee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  13. Pennsylvania Nuclear Profile - PPL Susquehanna

    U.S. Energy Information Administration (EIA) Indexed Site

    PPL Susquehanna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  14. New Hampshire Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (nw)","Net generation (thousand mwh)","Share of State nuclear net...

  15. North Carolina Nuclear Profile - Brunswick

    U.S. Energy Information Administration (EIA) Indexed Site

    Brunswick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  16. Wisconsin Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  17. Nebraska Nuclear Profile - Fort Calhoun

    U.S. Energy Information Administration (EIA) Indexed Site

    Fort Calhoun" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  18. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    cost of electricity (“LCOE”) generated by the turbine, basedEnergy (right scale) COD: LCOE (2010 $/MWh) Capacity Factorcase, the benefit (lower LCOE) outweighs the incremental

  19. Net Requirements Transparency Process for Slice/Block Customers

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Allocation Extension Agreement (CEAEA) amounts for Priest Rapids and Wanapum. Tacoma Power's FY2013 Dedicated Resource amounts were reduced by 2 MWh due to updating FY2013...

  20. THE CO2 ABATEMENT POTENTIAL OF CALIFORNIA'S MID-SIZED COMMERCIAL BUILDINGS

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    40 Figure E1. NOx Emissions (lb/MWh) for ICEs, Californa Air53 Figure E2. NOx Emission Histogram for SimulatedNOx emissions.

  1. "YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL...

    U.S. Energy Information Administration (EIA) Indexed Site

    METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK...

  2. Weighing the Costs and Benefits of State Renewables Portfolio Standards in the United States: A Comparative Analysis of State-Level Policy Impact Projections

    E-Print Network [OSTI]

    Chen, Cliff

    2009-01-01

    in electricity sector generation costs. In addition, the5/MWh change in levelized generation costs. We find that thethe cost and potential of renewable generation technologies

  3. California’s Water Footprint: recent trends and framework for a sustainable transition

    E-Print Network [OSTI]

    Fulton, Julian

    2015-01-01

    oil resources using hydraulic fracturing and other wellapplication of hydraulic fracturing techniques around theextraction, including hydraulic fracturing: 5.2 gal/MWh e (

  4. "Annual Electric Power Industry Report (EIA-861 data file)

    Gasoline and Diesel Fuel Update (EIA)

    State Electricity Profiles Corrections for State Electricity Profiles June 19, 2014 Tables revised: Table 1. 2012 Summary Statistics - CO2 lbsMwh data updated Table 7. Electric...

  5. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)", "Sulfur dioxide (short tons)",3978753 "Nitrogen oxide (short tons)",2411564 "Carbon dioxide (thousand metric tons)",2172355 "Sulfur dioxide (lbsMWh)",2 "Nitrogen oxide...

  6. Abstract--Market based contracting introduces increased competition in the power industry, and creates a need for

    E-Print Network [OSTI]

    Berleant, Daniel

    cost for generation company i of generating unit j, in $/MWh. XD Total demand in MWh for a given one-hour) of a bid, generation companies (GENCOs) must use good models. Such models should account for factors. Fij Operating cost for generation company i for generating unit j. Sij Monetary value of operating

  7. Green Technology: Hi-Temperature Microwave Sintering Reduces Ener... http://www.webwire.com/ViewPressRel.asp?aId=58548 1 of 2 3/28/2008 9:51 AM

    E-Print Network [OSTI]

    Agrawal, Dinesh

    units marketed in the U.S. Many sintering applications fall under a family of microwave technology use consumption from 12MWh to 1.2MWh. · Canada's Ontario Energy Agency projects that if the Province's ceramics coal fired power plant. · The Penn State Materials Research Center cut sintering cycle time

  8. CEWEP -Confederation of European Waste-to-Energy Plants Boulevard Clovis 12A

    E-Print Network [OSTI]

    Columbia University

    energy from waste Waste-to-Energy A cost effective and reliable sustainable energy source Waste waste represent a relatively low cost source of sustainable energy. The EU 27's renewable energy gap demand per capita equals 1.62 MWh/capita/yr and heat demand per capita equals 5.03 MWh/capita/yr. #12

  9. Assessment of Natural Gas Single Cycle Turbine,

    E-Print Network [OSTI]

    capital cost ($/kW) O&M costs fixed ($/kW-yr) and variable ($/MWh) Levelized cost fixed ($/kW-yr) and full ($/MWh)­ annualized cost of capital and operation across thea ua ed cost o cap ta a d ope at o ac capital cost estimates, but the levelized cost over 20 year planning horizon is uncertain ­ depends

  10. Implications of near-term coal power plant retirement for SO2 and NOX, and life cycle GHG emissions

    E-Print Network [OSTI]

    Jaramillo, Paulina

    prices of electricity production Plant type Unit Price Nuclear ($/MWh) 16.51 Wind ($/MWh) 201 Hydro Top SO2 100 430 95 440 100 430 Top NOX 105 350 100 380 105 345 Small, inefficient 125 410 125 405 125) Manitoba Hydro Manitoba Hydro Undertaking # 57 http://www.pub.gov.mb.ca/exhibits/mh-83.pdf. (5) Sotkiewicz

  11. Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological

    E-Print Network [OSTI]

    David, Mark B.

    prices of electricity production Plant type Unit Price Nuclear ($/MWh) 16.51 Wind ($/MWh) 201 Hydro Top SO2 100 430 95 440 100 430 Top NOX 105 350 100 380 105 345 Small, inefficient 125 410 125 405 125) Manitoba Hydro Manitoba Hydro Undertaking # 57 http://www.pub.gov.mb.ca/exhibits/mh-83.pdf. (5) Sotkiewicz

  12. Integrated Power Management of Data Centers and Electric Vehicles for Energy and Regulation Market

    E-Print Network [OSTI]

    Zhang, Wei

    centers and Plug-in Electric Vehi- cles (PEVs) both play an important role in balancing power grid and capacity (regulation up/down) values over a multi-hour operating period to minimize energy cost(m) Baseload of UPSs in the mth period(MWh) C(m) Overall capacity for servers, UPSs and PEVs (MW/h) CA Squared

  13. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    ;Emissions by Generation Type (lbs CO2 per MWh of Power) Coal-fired generation · Conventional (existing PNW Committee October 9, 2012 Whitefish, MT #12;CO2 Content by Fuel (lbs CO2 per MMBtu of Fuel) Coal (subbituminous) 212.7 Natural gas 117.1 #12;Fuel Conversion Efficiencies (MMBtu of Fuel per MWh of Power) Coal

  14. Reprinted with permission from the June 2004 issue Copyright 2004 Zackin Publications Inc. All Rights Reserved.

    E-Print Network [OSTI]

    Power Market Development Group bought more than 250,000 MWh per year of RECs from wind and other power (i.e., purchasing RECs "bundled" together with commodity electricity from a retail power provider MWh that a retail electric supplier charges for green power. This is because the unbundled nature

  15. RESQ: Rank-Energy Selective Query Forwarding for Distributed Search Systems

    E-Print Network [OSTI]

    decisions. Using a large-scale query log and publicly-available energy price time series, we demonstrate ranking query results and savings in temporally- and spatially-varying energy prices. Categories Deviation = $52.78/mWh Average = $111.87/mWh Figure 1: Energy price temporal and spatial varia- tion: (top

  16. Renewable Energy Production Tax Credit (Personal)

    Broader source: Energy.gov [DOE]

    Note: The tax credits are fully subscribed. As of February 2015, there are 712 MW (1,400,000 MWh) of projects in the waiting queue for the wind/biomass tax credit and 464 MW (1,212,000 MWh) of...

  17. Renewable Energy Production Tax Credit (Corporate)

    Broader source: Energy.gov [DOE]

    Note: The tax credits are fully subscribed. As of February 2015, there are 712 MW (1,400,000 MWh) of projects in the waiting queue for the wind/biomass tax credit and 464 MW (1,212,000 MWh) of...

  18. www.keppelseghers.com info@keppelseghers.com p. 1 / 4 MStore_3R_en_002_E Copyright, Keppel Seghers, 2007

    E-Print Network [OSTI]

    Columbia University

    ) Annual Electrical Power Production (MWh/a) Flue Gas Cleaning Start-up Rheinberg (Germany) Keppel Seghers-cooled 11,800 1 x 300 41 6,5 (+25 MWth) 52,000 Not in Scope 2003 Mannheim (Germany) Energie- und Wasserwerke Power Production MWh/a Flue Gas Cleaning Start-up Shenzhen - Baoan, Guangdong (China) Shenzhen Energy

  19. Energy Efficiency/Renewable Energy Impact in the Texas Emissions Reduction Plan (TERP) 

    E-Print Network [OSTI]

    Degelman, Larry; Mukhopadhyay, Jaya; McKelvey, Kathy; Montgomery, Cynthia; Baltazar-Cervantes, Juan-Carlos; Liu, Zi; Gilman, Don; Yazdani, Bahman; Culp, Charles; Haberl, Jeff

    2009-01-01

    specially prepared for this purpose. In 2008, the cumulative total annual electricity savings from all programs is 20,380,240 MWh/year (12, 727 tons-NOx/year). The total cumulative OSD electricity savings from all programs is 48,602 MWh/day, which... would be a 2,025 MW average hourly load reduction during the OSD period (31.38 tons-NOx/day). By 2013, the total cumulative annual electricity savings from will be 32,736,151 MWh/year (20,395 tons-NOx/year). The total cumulative OSD electricity...

  20. Tax Credits, Rebates & Savings | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Renewable Energy Production Tax Credit (Corporate) Note: The tax credits are fully subscribed. As of February 2015, there are 712 MW (1,400,000 MWh) of projects in the waiting...

  1. Microsoft Word - letter announcing draft contract_attachment...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    section 3 of Exhibit B to the draft contract. When combined with the lower IP rate, the unit cost cap is reduced to 58.51MWh. There is potential to increase to 330 million...

  2. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01

    to a few hours; and unit commitment – out to the next day oron load-following and unit commitment are typically found toare $4.33/MWh. ++ The unit commitment costs listed in EWITS

  3. Diagnosing Unilateral Market Power in Electricity Reserves Market

    E-Print Network [OSTI]

    Knittel, Christopher R; Metaxoglou, Konstantinos

    2008-01-01

    costs below (above) the energy price, the opportunity See,For example, for an energy price of $30/MWh, a spinning unitbelow (above) the energy price face only an opportunity

  4. Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01

    TOD energy value, and integration cost calculations. Theenergy value)—are subtracted from the delivered cost. Figure 2 illustrates this calculationcalculations, however, this does Marginal Production Cost ($/MWh) The median, 10 th , and 90 th percentile of the TOD energy

  5. Large Industrial Renewable Energy Purchase Program (New Brunswick)

    Broader source: Energy.gov [DOE]

    Beginning January 1, 2012 the Large Industrial Renewable Energy Purchase Program allows NB Power to purchase renewable energy generated by its largest customers at a rate of $95/MWh. This...

  6. Fact Sheet: Wind Firming EnergyFarm (August 2013) | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Wind Firming EnergyFarm (August 2013) Fact Sheet: Wind Firming EnergyFarm (August 2013) Primus Power is deploying a 25 MW75 MWh EnergyFarm(TM) in California's Central Valley,...

  7. The Cost of Transmission for Wind Energy: A Review of Transmission Planning Studies

    E-Print Network [OSTI]

    Mills, Andrew D.

    2009-01-01

    on U.S. Wind Power Installation, Cost, and PerformanceTransmission ($/kW-wind) Unit Cost (Capacity-weighted) Windof Transmission ($/MWh- wind) Unit Cost (Capacity-weighted)

  8. date 04/2009 Waste Management

    E-Print Network [OSTI]

    Columbia University

    fibres #12;date 04/2009 Waste Incineration Plant at Munich North ­ Using Combined Heat and Power production of electrical power · 792,351 MWh production of heat for district heating · 238,000 t reduction

  9. Utility-Scale Solar 2012: An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    Topaz (B) Genesis Solar Star Operating Costs (2012 $/MWh) (primarily to the declining cost of solar modules (and, to anot report operating costs for their solar projects on Form

  10. Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative

    E-Print Network [OSTI]

    Mills, Andrew D

    2011-01-01

    Low Cost Fixed PV Low Cost Wind High Wind Integration Cost$5/MWh. Integration costs for PV and solar thermal withoutNo Fed. ITC or PTC Low Cost Fxd PV High Utilization Sol Thrm

  11. Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01

    REC Short Line Fixed PV 30K Cost Relative to Base Case ($/REC Short Line Fixed PV 30K Cost Relative to Base Case ($/$5/MWh. Integration costs for PV and solar thermal without

  12. Microgrid Dispatch for Macrogrid Peak-Demand Mitigation

    E-Print Network [OSTI]

    DeForest, Nicholas

    2013-01-01

    The installed battery has an energy capacity of 4 MWh and aof 6.5%. It is the energy capacity of the electric storage (and Lost Savings by Energy Capacity The technical parameters

  13. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    is a system metric relating the pounds of pollutant to output energy (e.g., MWh) of the powerplant. less Full Text Available December 2008 Low no subx heavy fuel combustor...

  14. Louisiana Nuclear Profile - Power Plants

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana nuclear power plants, summer capacity and net generation, 2010" "Plant NameTotal Reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

  15. Essays on energy and environmental policy

    E-Print Network [OSTI]

    Novan, Kevin Michael

    2012-01-01

    Hourly Net Generation by Fuel (MWh) Fossil Fuel Unit SummaryThe combustion of fossil fuels in the electricity sector isand SO 2 emitted by fossil fuel generators in the region.

  16. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Electric Light&Power Co (Alaska) Place Alaska Start Date 2008-03-01 End Date 2008-04-01 Residential Revenue(Thousand ) 2106 Residential Sales (MWh) 13060 Residential Consumers...

  17. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    8-09 Utility Company Alaska Electric Light&Power Co (Alaska) Place Alaska Start Date 2008-09-01 End Date 2008-10-01 Residential Revenue(Thousand ) 785 Residential Sales (MWh) 8439...

  18. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    Utility Company Anchorage Municipal Light and Power (Alaska) Place Alaska Start Date 2008-08-01 End Date 2008-09-01 Residential Revenue(Thousand ) 1183.136 Residential Sales (MWh)...

  19. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Light&Power Co (Alaska) Place Alaska Start Date 2009-03-01 End Date 2009-04-01 Residential Revenue(Thousand ) 1358.728 Residential Sales (MWh) 12800.802 Residential Consumers...

  20. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Utility Company Alaska Electric Light&Power Co (Alaska) Place Alaska Start Date 2009-01-01 End Date 2009-02-01 Residential Revenue(Thousand ) 3587 Residential Sales (MWh) 16219...

  1. EECBG Success Story: Historic Virginia Market Powered by Solar...

    Broader source: Energy.gov (indexed) [DOE]

    Solar panels at the Community Market Building in Danville, Va., have generated 36.4 MWh of energy since March. | Photo Courtesy of Danville Solar panels at the Community Market...

  2. ENERGY EFFICIENCY OPPORTUNITIES IN THE U.S. PULP AND PAPER INDUSTRY

    E-Print Network [OSTI]

    Kramer, Klaas Jan

    2010-01-01

    efficiency measure descriptions include expected savings insavings in energy and energy-related costs are provided for many energy efficiency measures,savings of about $4,000 and 114 MWh, respectively [31]. EXAMPLES OF PROCESS-SPECIFIC EFFICIENCY MEASURES

  3. Energy Efficiency in Buildings as an Air Quality Compliance Approach: Opportunities for the U.S. Department of Energy

    E-Print Network [OSTI]

    Vine, Edward

    2002-01-01

    greenhouse gas GWh HERS HVAC IPMVP kW kWh MW MWh NASEOand Verification Protocol (IPMVP) for quantifying emissionsand Verification Protocol (IPMVP) was listed as one of the

  4. Energy-Efficiency Improvement Opportunities for the Textile Industry

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2010-01-01

    in Brazil, China, and India, Energy-efficiency case studiesin a textile plant in India, energy savings of 2.43 MWh/A textile plant in India has reported energy savings of 936

  5. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",87718,17 "Nitrogen oxide (short tons)",24490,32 "Carbon dioxide (thousand metric tons)",22633,33 "Sulfur dioxide (lbsMWh)",3.3,9 "Nitrogen...

  6. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",47671,25 "Nitrogen oxide (short tons)",19035,36 "Carbon dioxide (thousand metric tons)",28809,30 "Sulfur dioxide (lbsMWh)",1,35 "Nitrogen...

  7. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",13259,39 "Nitrogen oxide (short tons)",17975,38 "Carbon dioxide (thousand metric tons)",12543,39 "Sulfur dioxide (lbsMWh)",0.2,46 "Nitrogen...

  8. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",123735,10 "Nitrogen oxide (short tons)",55462,20 "Carbon dioxide (thousand metric tons)",56812,15 "Sulfur dioxide (lbsMWh)",2,20 "Nitrogen...

  9. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",203951,6 "Nitrogen oxide (short tons)",63358,11 "Carbon dioxide (thousand metric tons)",97812,6 "Sulfur dioxide (lbsMWh)",2,21 "Nitrogen...

  10. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",30027,30 "Nitrogen oxide (short tons)",30860,30 "Carbon dioxide (thousand metric tons)",33125,27 "Sulfur dioxide (lbsMWh)",1.2,30 "Nitrogen...

  11. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",4202,43 "Nitrogen oxide (short tons)",18043,37 "Carbon dioxide (thousand metric tons)",3768,44 "Sulfur dioxide (lbsMWh)",1.3,29 "Nitrogen...

  12. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",86204,18 "Nitrogen oxide (short tons)",23189,33 "Carbon dioxide (thousand metric tons)",38118,22 "Sulfur dioxide (lbsMWh)",2.2,19 "Nitrogen...

  13. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",12339,40 "Nitrogen oxide (short tons)",15150,41 "Carbon dioxide (thousand metric tons)",14735,38 "Sulfur dioxide (lbsMWh)",0.8,38 "Nitrogen...

  14. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",6565,42 "Nitrogen oxide (short tons)",7627,46 "Carbon dioxide (thousand metric tons)",1942,49 "Sulfur dioxide (lbsMWh)",0.9,37 "Nitrogen...

  15. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",68077,21 "Nitrogen oxide (short tons)",39706,27 "Carbon dioxide (thousand metric tons)",34686,25 "Sulfur dioxide (lbsMWh)",1.8,26 "Nitrogen...

  16. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",17511,35 "Nitrogen oxide (short tons)",13803,42 "Carbon dioxide (thousand metric tons)",9500,40 "Sulfur dioxide (lbsMWh)",0.6,39 "Nitrogen...

  17. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",41539,26 "Nitrogen oxide (short tons)",21995,34 "Carbon dioxide (thousand metric tons)",18950,34 "Sulfur dioxide (lbsMWh)",2.3,17 "Nitrogen...

  18. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",17735,34 "Nitrogen oxide (short tons)",59055,16 "Carbon dioxide (thousand metric tons)",28535,31 "Sulfur dioxide (lbsMWh)",1,36 "Nitrogen...

  19. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",346873,2 "Nitrogen oxide (short tons)",102526,4 "Carbon dioxide (thousand metric tons)",102466,4 "Sulfur dioxide (lbsMWh)",5.1,1 "Nitrogen...

  20. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",157488,8 "Nitrogen oxide (short tons)",78033,10 "Carbon dioxide (thousand metric tons)",78344,8 "Sulfur dioxide (lbsMWh)",3.4,8 "Nitrogen...

  1. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",2241,47 "Nitrogen oxide (short tons)",2585,48 "Carbon dioxide (thousand metric tons)",4722,43 "Sulfur dioxide (lbsMWh)",0.6,40 "Nitrogen...

  2. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",106879,14 "Nitrogen oxide (short tons)",44657,25 "Carbon dioxide (thousand metric tons)",39175,21 "Sulfur dioxide (lbsMWh)",3.8,6 "Nitrogen...

  3. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",80418,19 "Nitrogen oxide (short tons)",57024,17 "Carbon dioxide (thousand metric tons)",46268,19 "Sulfur dioxide (lbsMWh)",2.2,18 "Nitrogen...

  4. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",2109,48 "Nitrogen oxide (short tons)",96842,5 "Carbon dioxide (thousand metric tons)",57323,13 "Sulfur dioxide (lbsMWh)",0,49 "Nitrogen...

  5. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",71,50 "Nitrogen oxide (short tons)",792,50 "Carbon dioxide (thousand metric tons)",15,51 "Sulfur dioxide (lbsMWh)",0,50 "Nitrogen oxide...

  6. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",30947,29 "Nitrogen oxide (short tons)",44824,24 "Carbon dioxide (thousand metric tons)",33456,26 "Sulfur dioxide (lbsMWh)",0.5,41 "Nitrogen...

  7. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",122578,11 "Nitrogen oxide (short tons)",82286,9 "Carbon dioxide (thousand metric tons)",58274,12 "Sulfur dioxide (lbsMWh)",2.4,16 "Nitrogen...

  8. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",40012,27 "Nitrogen oxide (short tons)",49623,21 "Carbon dioxide (thousand metric tons)",39387,20 "Sulfur dioxide (lbsMWh)",1.5,27 "Nitrogen...

  9. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",7436,41 "Nitrogen oxide (short tons)",16438,39 "Carbon dioxide (thousand metric tons)",15690,37 "Sulfur dioxide (lbsMWh)",0.4,43 "Nitrogen...

  10. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",66884,22 "Nitrogen oxide (short tons)",31505,29 "Carbon dioxide (thousand metric tons)",28043,32 "Sulfur dioxide (lbsMWh)",3.6,7 "Nitrogen...

  11. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",93888,15 "Nitrogen oxide (short tons)",60229,14 "Carbon dioxide (thousand metric tons)",68862,9 "Sulfur dioxide (lbsMWh)",2.5,14 "Nitrogen...

  12. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",49587,24 "Nitrogen oxide (short tons)",55615,19 "Carbon dioxide (thousand metric tons)",50687,17 "Sulfur dioxide (lbsMWh)",1.9,24 "Nitrogen...

  13. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",3196,46 "Nitrogen oxide (short tons)",15299,40 "Carbon dioxide (thousand metric tons)",15789,36 "Sulfur dioxide (lbsMWh)",0.1,48 "Nitrogen...

  14. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",23716,31 "Nitrogen oxide (short tons)",59416,15 "Carbon dioxide (thousand metric tons)",55342,16 "Sulfur dioxide (lbsMWh)",0.4,42 "Nitrogen...

  15. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",273718,4 "Nitrogen oxide (short tons)",121681,3 "Carbon dioxide (thousand metric tons)",98895,5 "Sulfur dioxide (lbsMWh)",5,2 "Nitrogen oxide...

  16. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",20710,33 "Nitrogen oxide (short tons)",25416,31 "Carbon dioxide (thousand metric tons)",7428,42 "Sulfur dioxide (lbsMWh)",4,5 "Nitrogen oxide...

  17. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",16865,36 "Nitrogen oxide (short tons)",21789,35 "Carbon dioxide (thousand metric tons)",16951,35 "Sulfur dioxide (lbsMWh)",1.2,31 "Nitrogen...

  18. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",3512,45 "Nitrogen oxide (short tons)",9372,45 "Carbon dioxide (thousand metric tons)",8726,41 "Sulfur dioxide (lbsMWh)",0.2,47 "Nitrogen...

  19. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",1271,49 "Nitrogen oxide (short tons)",1161,49 "Carbon dioxide (thousand metric tons)",2838,48 "Sulfur dioxide (lbsMWh)",0.4,44 "Nitrogen...

  20. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",3733,44 "Nitrogen oxide (short tons)",5057,47 "Carbon dioxide (thousand metric tons)",3447,46 "Sulfur dioxide (lbsMWh)",0.4,45 "Nitrogen...

  1. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",383728,1 "Nitrogen oxide (short tons)",228695,1 "Carbon dioxide (thousand metric tons)",257465,1 "Sulfur dioxide (lbsMWh)",1.8,25 "Nitrogen...

  2. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",13365,38 "Nitrogen oxide (short tons)",9607,44 "Carbon dioxide (thousand metric tons)",3675,45 "Sulfur dioxide (lbsMWh)",1.9,23 "Nitrogen...

  3. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",237091,5 "Nitrogen oxide (short tons)",86058,8 "Carbon dioxide (thousand metric tons)",67193,10 "Sulfur dioxide (lbsMWh)",4.5,3 "Nitrogen...

  4. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",23670,32 "Nitrogen oxide (short tons)",62296,13 "Carbon dioxide (thousand metric tons)",35699,24 "Sulfur dioxide (lbsMWh)",1.1,33 "Nitrogen...

  5. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",71293,20 "Nitrogen oxide (short tons)",62397,12 "Carbon dioxide (thousand metric tons)",56940,14 "Sulfur dioxide (lbsMWh)",1.1,32 "Nitrogen...

  6. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",56854,23 "Nitrogen oxide (short tons)",48454,22 "Carbon dioxide (thousand metric tons)",30274,28 "Sulfur dioxide (lbsMWh)",3.2,11 "Nitrogen...

  7. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",117797,12 "Nitrogen oxide (short tons)",88345,6 "Carbon dioxide (thousand metric tons)",108431,3 "Sulfur dioxide (lbsMWh)",1.1,34 "Nitrogen...

  8. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",15347,37 "Nitrogen oxide (short tons)",11430,43 "Carbon dioxide (thousand metric tons)",3228,47 "Sulfur dioxide (lbsMWh)",3,12 "Nitrogen...

  9. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",190782,7 "Nitrogen oxide (short tons)",87201,7 "Carbon dioxide (thousand metric tons)",85304,7 "Sulfur dioxide (lbsMWh)",4.3,4 "Nitrogen...

  10. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    tons)",, "Sulfur dioxide (short tons)",0,51 "Nitrogen oxide (short tons)",148,51 "Carbon dioxide (thousand metric tons)",49,50 "Sulfur dioxide (lbsMWh)",0,51 "Nitrogen oxide...

  11. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",108306,13 "Nitrogen oxide (short tons)",44114,26 "Carbon dioxide (thousand metric tons)",47686,18 "Sulfur dioxide (lbsMWh)",3.3,10 "Nitrogen...

  12. Table 1. 2013 Summary Statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",276851,3 "Nitrogen oxide (short tons)",151148,2 "Carbon dioxide (thousand metric tons)",108729,2 "Sulfur dioxide (lbsMWh)",2.4,15 "Nitrogen...

  13. Table 1. 2013 Summary statistics

    U.S. Energy Information Administration (EIA) Indexed Site

    "Sulfur dioxide (short tons)",35625,28 "Nitrogen oxide (short tons)",36972,28 "Carbon dioxide (thousand metric tons)",29255,29 "Sulfur dioxide (lbsMWh)",1.4,28 "Nitrogen...

  14. Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative

    E-Print Network [OSTI]

    Mills, Andrew D

    2011-01-01

    33% RE Renewable Energy (TWh/yr) Wind Solar Hydro Biomass$/MWh) Energy- Weighted Median (10th; 90th Percentile) Hydroenergy. Load-sited CCGT (Sacramento) Geothermal Biomass Hydro

  15. Pollution and the price of power

    SciTech Connect (OSTI)

    Dewees, D.N. [University of Toronto, Toronto, ON (Canada). Dept. of Economics

    2008-07-01

    This study analyses the un-priced environmental harm caused by generating electricity from fossil fuels in the ECAR control region south of the Great Lakes in 2004 and again in 2015 when the recent Clean Air Interstate Rule will have its full effect. Using existing damage values, we estimate wholesale electricity under-pricing for coal-fired plants at about $40 per MWh in 2004, almost as much again as the $45/MWh actual price. Averaging across all fuels, the price of electricity was more than $30/MWh too low. The under-pricing will still be $18/MWh for coal plants and $15 for all generation sources in 2015, a decade after CAIR was adopted. Recognizing this environmental price now could reduce pollution levels, increase energy conservation and lead to wiser choices of new generation technology.

  16. Development and Application of Advanced Models for Steam Hydrogasification: Process Design and Economic Evaluation

    E-Print Network [OSTI]

    Lu, Xiaoming

    2012-01-01

    MWh electricity, 12% IRR Coal Price, $/metric ton BreakevenCERT-3B 42 $/metric ton coal price Electricity Sale Price,electricity, 42 $/metric ton coal price IRR, percent Figure

  17. Energy Generation by State and Technology (2009) - Datasets ...

    Open Energy Info (EERE)

    2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923). Data and Resources Energy Generation by Fuel Source and State, 2009XLS Energy Generation by...

  18. exhibit A of framework for memorandum of understanding for direct...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    38MWh that escalates at 2.5 percent each year for the term of the Block Contract. The Price Caps were set based on this expected cost divided by the megawatt-hours sold to...

  19. Current State of the Voluntary Renewable Energy Market (Presentation)

    SciTech Connect (OSTI)

    Heeter, J.

    2013-09-01

    This presentation highlights the status of the voluntary green power market in 2012. The voluntary green power market totaled more than 48 million MWh in 2012, with about 1.9 million customers participating. The supply continues to be dominated by wind, though solar is increasing its share of utility green pricing programs. Prices for voluntary renewable energy certificates (RECs) increased to above $1/MWh.

  20. Measures of the environmental footprint of the front end of the nuclear fuel cycle

    SciTech Connect (OSTI)

    E. Schneider; B. Carlsen; E. Tavrides; C. van der Hoeven; U. Phathanapirom

    2013-11-01

    Previous estimates of environmental impacts associated with the front end of the nuclear fuel cycle (FEFC) have focused primarily on energy consumption and CO2 emissions. Results have varied widely. This work builds upon reports from operating facilities and other primary data sources to build a database of front end environmental impacts. This work also addresses land transformation and water withdrawals associated with the processes of the FEFC. These processes include uranium extraction, conversion, enrichment, fuel fabrication, depleted uranium disposition, and transportation. To allow summing the impacts across processes, all impacts were normalized per tonne of natural uranium mined as well as per MWh(e) of electricity produced, a more conventional unit for measuring environmental impacts that facilitates comparison with other studies. This conversion was based on mass balances and process efficiencies associated with the current once-through LWR fuel cycle. Total energy input is calculated at 8.7 x 10- 3 GJ(e)/MWh(e) of electricity and 5.9 x 10- 3 GJ(t)/MWh(e) of thermal energy. It is dominated by the energy required for uranium extraction, conversion to fluoride compound for subsequent enrichment, and enrichment. An estimate of the carbon footprint is made from the direct energy consumption at 1.7 kg CO2/MWh(e). Water use is likewise dominated by requirements of uranium extraction, totaling 154 L/MWh(e). Land use is calculated at 8 x 10- 3 m2/MWh(e), over 90% of which is due to uranium extraction. Quantified impacts are limited to those resulting from activities performed within the FEFC process facilities (i.e. within the plant gates). Energy embodied in material inputs such as process chemicals and fuel cladding is identified but not explicitly quantified in this study. Inclusion of indirect energy associated with embodied energy as well as construction and decommissioning of facilities could increase the FEFC energy intensity estimate by a factor of up to 2.

  1. Energy Efficiency/ Renewable Energy Impact in The Texas Emissions Reduction Plan (TERP): Volume I- Summary Report 

    E-Print Network [OSTI]

    Haberl, J.; Yazdani, B.; Lewis, C.; Liu, Z.; Baltazar, J. C.; Mukhopadhyay, J..; Degelman, L.; McKelvey, K.; Clardige, D.; Ellis, S.; Kim, H.; Zilbershtein. G.; Gilman, D.

    2012-01-01

    is 336,046 MWh/year (2.5%) In 2011, the total integrated OSD savings from all programs is 36,076 MWh/day, which would be a 1,503 MW average hourly load reduction during the OSD period. The integrated OSD electricity savings from all the different....4%), ? NOx emissions reduction from green power purchases (wind) are 7.63 tons-NOx/day (77.1%), and ? NOx emissions reduction from residential air conditioner retrofits are 0.55 tons-NOx/day (5.6%). By 2013, the total integrated annual NOx emissions...

  2. Energy Modeling of a High Performance Building in the U.A.E. for Sustainability Certification 

    E-Print Network [OSTI]

    Jones, M.; Ledinger, S.

    2010-01-01

    to pro- vide hot water above 95 C. The chiller then continues to operate unless the heating water falls below 75 C. The chiller operates on an on-off control strategy with hystere- sis. Annual energy performance Two air set-points are considered... 24 Sum [MWh] 2223 3115 total annual building load, 2223MWh. Conclusions to be drawn from figure 10 are outlined in three regions. Simulation results indicate that the building will have a baseload outside of occupation hours between 0 and 100 k...

  3. Parametric studies and optimisation of pumped thermal electricity storage

    E-Print Network [OSTI]

    McTigue, Joshua; White, Alexander; Markides, Christos N.

    2014-09-11

    comprehensive review of these technologies is given in Ref. [3]. TES systems suitable for large-scale 19 storage (i.e., > 100 MWh) include: cryogenic systems for which energy is stored within tanks of liquid air 20 or liquid nitrogen; pumped heat storage where... how the optimal design may vary when multiple objectives are considered. 34 35 2. Baseline Design 36 The outline design features of a hypothetical 2 MW PTES system with 16 MWh of storage is given in Ref. 37 [12]. A system of this size has been...

  4. Solar Photovoltaic Capacity F t P f d P li

    E-Print Network [OSTI]

    6/19/2013 1 Solar Photovoltaic ­ Capacity F t P f d P li Generating Resources Advisory Committee Advisor Model (SAM), version 2013.1.15 Technology: Solar PV (PVWatts system model)Technology: Solar PV (MWh) (First year output, each year thereafter degrades 0.5%) 6 #12;6/19/2013 4 Shape of PNW Solar PV

  5. Consumption of electricity, heat and water by campus 20122014 Campus Total Otaniemi Tl Arabia Others

    E-Print Network [OSTI]

    Kaski, Samuel

    Consumption of electricity, heat and water by campus 2012­2014 Campus Total Otaniemi Töölö Arabia Others 2014 2013 2012 2014 2013 2012 2014 2013 2012 2014 2013 2012 2014 2013 2012 Electricity consumption (MWh) 37497 38738 39357 31736 34100 33831 2836 2000 2201 2350 2365 3102 576 273 223 Heat consumption

  6. Allowance Allocation and Effects on the Electricity Sector

    E-Print Network [OSTI]

    on electricity markets depends on CO2 emissions rates · Different regional effect of GF on electricity marketsAppalachia Indiana CO2EmissionsRate(tons/MWh) ElectricityPrice Baseline (BL) EmissionsRate Policy % Increase from BLAllowance Allocation and Effects on the Electricity Sector Karen Palmer Resources for the Future

  7. The Outlook for CO2 Capture Costs

    E-Print Network [OSTI]

    Common Measures of CCS Cost · Capital cost · Increased cost of electricity · Cost of CO2 avoided · Cost of CO2 captured E.S. Rubin, Carnegie Mellon Elements of Capital Cost Note: · Nomenclature and cost items construction Total Capital Requirement (TCR) E.S. Rubin, Carnegie Mellon Cost of Electricity (COE) COE ($/MWh

  8. Generating Resources Combined Cycle Combustion Turbine

    E-Print Network [OSTI]

    diverse sources and robust gas infrastructure. 3. Cost and Uncertainty Stable capital cost estimate capital costs, but costs have been declining rapidly, requiring a forecast of future cost declines (MW) Normalized overnight capital cost ($/kW) O&M costs fixed ($/kW-yr) and variable ($/MWh

  9. Workshop Energia e Fonti Rinnovabili Lucio Andreani, Dip. Fisica "A. Volta" Universit di Pavia, 15/06/2011 1 Dipartimento di Fisica "Alessandro Volta",

    E-Print Network [OSTI]

    .082130Wind 5.5659Geothermal Solar Italy**EU*World*All data in TWh *IEA World Energy Outlook, 2008 in the reference scenario (Mtoe) IEA World Energy Outlook, 2008 (n.b. 1 Toe=11.63 MWh) #12;Workshop Energia e Fonti/06/2011 7 Consumo mondiale di energia primaria fossil fuels: 80.9% World primary energy demand

  10. Emerging Technology Conservation Resources Advisory

    E-Print Network [OSTI]

    possible path to zero carbon future for electricity system by 2035 Not limited by cost 2 #12;Step 1: Identify the Gap Run RPM with: No new carbon-emitting resources No cost limit on carbon-free resources Conservation (include EE>$170/MWh) Demand response Distributed PV, with achievability assumptions Utility

  11. Energy Analysis, Baselining and Modeling of Prairie View A&M University 

    E-Print Network [OSTI]

    Abushakra, B.; Haberl, J. S.; Claridge, D. E.; Eggebrecht, J.; Carlson, K. A.

    1998-01-01

    Analysis of the available data found that electricity savings in the J.B. Coleman Library for June - September, 1998 were 298 MWh, or 38% of the baseline consumption during these months. Extrapolation of these savings to a full year leads would...

  12. Mesa Top Photovoltaic Array SyStem SpecificationS

    E-Print Network [OSTI]

    electricity that array will provide: 7% environmental impact Annual carbon offset: 2.4 million pounds of CO2Mesa Top Photovoltaic Array SyStem SpecificationS System size: 750 kW (DC, estimated) Characteristics: Single axis tracker photovoltaics, ground mounted Annual output: 1,200 MWh Location: Top of South

  13. Meeting NSPI's 2010 SO2 emission reduction cap Larry Hughes, Mandeep Dhaliwal, and Nikita Sheth

    E-Print Network [OSTI]

    Hughes, Larry

    is the principal fuel used by NSPI (see Table 2). Table 2: NSPI's generation by fuel type (MWh) (Toner, 2006) Coal of the highest in the country is Nova Scotia Power's reliance on coal for electrical generation. Given NSPI into the industrial and utility sector, and the continued use of low-sulphur coal. With the Sable Offshore Energy

  14. Electrolysis-Utility Integration Workshop September 22, 2004

    E-Print Network [OSTI]

    " Distribution substations ! Each locations has different issues " Operational " Cost " Distribution (of H2Siting and Location ! Electrolysis systems can be sited at " Existing generating stations " Transmission substations($/MWh) Baseload Intermediate Peaking #12;Transmission Substation SiteTransmission Substation Site ! Offers same

  15. Report of GWC participation at Torino, Italy 2 Meeting of MatER (WTERT-Italy), 12-14 September

    E-Print Network [OSTI]

    Columbia University

    and the price received for electricity produced ranges from 60-110 Euro/MWh. Unfortunately, the new political and Scientific Technical Committee was submitted. The WTE market situation in Italy, from the official report in France, with a capacity of 50,000 tpa industrial waste (commercial & little biomass). This Plant stopped

  16. Submitted to Management Science manuscript MS-0001-1922.65

    E-Print Network [OSTI]

    electricity prices spiked to $990/MWh causing a retail energy provider that was not adequately hedged some three trillion dollars annually, bears some degree of weather and climate risk. Energy be affected by weather. For example, the profit function of energy distribution companies, which are obligated

  17. An Equilibrium Pricing Model for Weather Derivatives in a Multi-commodity Setting

    E-Print Network [OSTI]

    Oren, Shmuel S.

    -day ice storm in February 2003 electricity prices spiked to $990/MWh causing a retail energy provider, representing some three trillion dollars annually, bears some degree of weather and climate risk. Energy be affected by weather. For example, the profit function of energy distribution companies, which are obligated

  18. Combined Heat and Power in EPA's Clean Power Plan 

    E-Print Network [OSTI]

    Kelly, M.

    2015-01-01

    in 2030 (MWh) California 6,349,215 New York 5,974,986 Texas 2,717,967 New Jersey 2,620,158 Massachusetts 1,894,548 Wisconsin 1,576,885 Louisiana 1,431,580 Connecticut 1,385,338 Kentucky 972,513 Florida 965,853 Total 25,889,043 Source: Adapted from Hayes, S...

  19. Engi 9614: Renewable Energy and Resource Conservation, Assignment #2, Nov. 28th "Opportunities and challenges for a sustainable energy future"

    E-Print Network [OSTI]

    Coles, Cynthia

    Engi 9614: Renewable Energy and Resource Conservation, Assignment #2, Nov. 28th 2013 temperatures 6. About 2% and 9% 7. They are 61% lower 8. IEA estimates onshore wind energy will cost $90 MWh-1% of the energy from the plant will be required for the CCS operations. 14. It is a plant for which the full costs

  20. The Icelandic Power Situation

    E-Print Network [OSTI]

    Karlsson, Brynjar

    #12;The Icelandic Power Situation #12;Iceland generates the most electricity in Europe per capita plants and customers 52 MWh per capita #12;Electrical usage in Iceland Low cost reliable and renewable energy attracts power intensive industry to Iceland Households use only 5% 90% of district heating

  1. Successful biomass (wood pellets ) implementation in

    E-Print Network [OSTI]

    is taken into operation. The rest of the investment costs, building ­ and consulting costs, are paid by the client. ! At three different sites in Estonia:Kiltsi, Leie and Rakvere, light oil-fired boilers have been production, MWh 420 000370 000380 000Investment cost, SEK 250150200Burner capacity, kW Leie Basic School

  2. International Atomic Energy Agency Considerations before theConsiderations before the

    E-Print Network [OSTI]

    ;Nuclear Energy ProjectionNuclear Energy Projection 0 100 200 300 400 500 600 1960 1970 1980 1990 2000 2010 2020 2030 GW(e) SEA Africa LA ME&SA NA EE Far East WE low proj. history #12;Nuclear power around wind Solar PV US$/MWh 188 Range of Levelized Generating Costs of New Electricity Generating Capacities

  3. Environmental Reporting for the University of Michigan Ann Arbor

    E-Print Network [OSTI]

    Eustice, Ryan

    .............................................................................. 17 5.1.1 Total Energy Consumption (Btu, Btu/person, Barrels of oil equivalent (%)......................................................................................... 18 5.1.3 Building Energy Consumption (Btu, Btu/ft2 , Btu/person, Btu/ft2 /person)................................. 19 5.1.4 Purchased Electricity Consumption (MWh

  4. COMMUNITY CHOICE AGGREGATION PILOT PROJECT

    E-Print Network [OSTI]

    generation development @ 5.5%. b) 100% debt financing. c) Financing term is 30 years. d) Minimum debt.9 M per year plus 10 cents per MWh, including IT. d) Activities include scheduling coordination Geothermal, Solid Fuel Biomass, Land Fill Gas Biomass, and Concentrating Solar Power. b) The cost

  5. The Treatment of Risk in the DWR Long-term Contracts Section 11: Appendices Appendix E. DWR Non-Renewable Contract Summaries

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Summary of Contract #30: Allegheny Energy Supply Company, LLC General Information Seller; Project Name at Redondo, Ellis, Alamitos (pg. 30-55) Purchase Option None Contract Price Total Price = $61.00 / MWh (pg Excused Outages. Fuel Price Risk Seller bears fuel price risk. Scheduling Risk Buyer responsible

  6. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    , wholesale power prices at the Mid-Columbia trading hub are projected to increase from $45 per megawatt per MWh in 2008 (in real 2006 dollars). The Council's wholesale power price forecasts are projections-term trend forecasts. The long-term price projections are also used by the Council, regional utilities

  7. Report of GWC participation at Torino, Italy 2 Meeting of MatER (WTERT-Italy), 12-14 September

    E-Print Network [OSTI]

    and the price received for electricity produced ranges from 60-110 Euro/MWh. Unfortunately, the new political Council worlwide activities plus the current MSW Projects/Tenders situation in Greece. Events (equivalent for 1,750,000 people). It will produce annually 350 GWh Electricity for 175,000 families (average

  8. Rethinking CCS Strategies for Technology Development in Times of Uncertainty

    E-Print Network [OSTI]

    received increased attention due to the positive value that EOR storage puts on CO2. Second, the EPA has change and a reliance on CO2-emitting fossil fuels for a majority of the world's energy supply have proposed a 1000 lbs CO2/MWh emission standard that would require new coal plants to install CCS. Using

  9. Impacts of Optimized Cold & Hot Deck Reset Schedules on Dual Duct VAV Systems - Application and Results 

    E-Print Network [OSTI]

    Liu, M.; Abbas, M.; Veteto, B.; Claridge, D. E.; Bruner, H.

    1998-01-01

    reduced the chilled water energy consumption by 7,571 MMBtu/yr (18%) and 303 MWh/yr (18%) for the fan power. The estimated heating energy savings are 2,327 MMBtu/yr. The estimated annual cost savings are $75,040/yr. This paper presents the building and AHU...

  10. Small Modular Reactor: First of a Kind (FOAK) and Nth of a Kind (NOAK) Economic Analysis

    SciTech Connect (OSTI)

    Lauren M. Boldon; Piyush Sabharwall

    2014-08-01

    Small modular reactors (SMRs) refer to any reactor design in which the electricity generated is less than 300 MWe. Often medium sized reactors with power less than 700 MWe are also grouped into this category. Internationally, the development of a variety of designs for SMRs is booming with many designs approaching maturity and even in or nearing the licensing stage. It is for this reason that a generalized yet comprehensive economic model for first of a kind (FOAK) through nth of a kind (NOAK) SMRs based upon rated power, plant configuration, and the fiscal environment was developed. In the model, a particular project’s feasibility is assessed with regards to market conditions and by commonly utilized capital budgeting techniques, such as the net present value (NPV), internal rate of return (IRR), Payback, and more importantly, the levelized cost of energy (LCOE) for comparison to other energy production technologies. Finally, a sensitivity analysis was performed to determine the effects of changing debt, equity, interest rate, and conditions on the LCOE. The economic model is primarily applied to the near future water cooled SMR designs in the United States. Other gas cooled and liquid metal cooled SMR designs have been briefly outlined in terms of how the economic model would change. FOAK and NOAK SMR costs were determined for a site containing seven 180 MWe water cooled SMRs and compared to a site containing one 1260 MWe reactor. With an equal share of debt and equity and a 10% cost of debt and equity, the LCOE was determined to be $79 $84/MWh and $80/MWh for the SMR and large reactor sites, respectively. With a cost of equity of 15%, the SMR LCOE increased substantially to $103 $109/MWh. Finally, an increase in the equity share to 70% at the 15% cost of equity resulted in an even higher LCOE, demonstrating the large variation in results due to financial and market factors. The NPV and IRR both decreased with increasing LCOE. Unless the price of electricity increases along with the LCOE, the projects may become unprofitable. This is the case at the LCOE of $103 $109/MW, in which the NPV became negative. The IRR increased with increasing electricity price. Three cases, electric only base, storage—compressed air energy storage or pumped hydro, and hydrogen production, were performed incorporating SMRs into a nuclear wind natural gas hybrid energy system for the New York West Central region. The operational costs for three cases were calculated as $27/MWh, $25/MWh, and $28/MWh, respectively. A 3% increase in profits was demonstrated for the storage case over the electric only base case.

  11. Robustness of Various Capacity Mechanisms to Regulatory Errors

    E-Print Network [OSTI]

    Winzer, Christian

    2013-11-26

     that the fixed and variable cost of each generation  technology  is  constant  and  known  at  the  time  of  the  investment.  Within  the  energy markets,  the price  is  the short  run marginal  cost of  the most expensive  unit and there are no start?up and shut?down cost so that plants are despatched  in...   drop  the  reserve  despatch  price during an emergency. In our model we have investigated the impact which  is caused by dropping the strategic reserve despatch price from the true VOLL at  £10,000 /MWh to £1,000 /MWh with a probability of 0.1, 0.3 or...

  12. Presenter: Leigh Tesfatsion Professor of Econ, Math, and Electrical and Comp. Engineering

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Offers in MISO MW 10 10 10 10 10 10 10 10 Minimum acceptable price (sale reservation price) for each MW $/MWh #12;8 Form of GenCo Supply Offers in MISO BPM-002-r8, 4.2.2.2.1, p. 4-26 (July 7, 2010) * xxx #12;9 LSE Price-Sensitive Demand Bids in MISO BPM-002-r8, 4.3.2, 4-84 (July 7, 2010) #12;10 ISO Net Surplus

  13. Baker-Barry Tunnel Lighting: Evaluation of a Potential GATEWAY Demonstrations Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-06-01

    The U.S. Department of Energy (DOE) is evaluating the Baker-Barry Tunnel as a potential GATEWAY Demonstrations project for deployment of solid-state lighting (SSL) technology. The National Park Service (NPS) views this project as a possible proving ground and template for implementation of light-emitting diode (LED) luminaires in other NPS tunnels, thereby expanding the estimated 40% energy savings from 132 MWh/yr for this tunnel to a much larger figure national

  14. A Cost Benefit Analysis of a V2G-Capable Electric School Bus Compared to a Traditional Diesel School Bus

    E-Print Network [OSTI]

    Firestone, Jeremy

    Average Electricity Carbon Emission Rate 1.18 lbs/kWh Cdr Diesel Carbon Emission Rate 22.2 lbs/kWh D Miles $0.106/kWh PR Regulation Price for V2G Revenue $28/MWh R Range of Battery 100 miles rd Discount Rate of Replacement Battery $300/kWh CD Seating Capacity of Diesel Bus 32 CE Seating Capacity of Electric Bus 24 Cer

  15. Masontown-Uniontown folio, Pennsylvania 

    E-Print Network [OSTI]

    Campbell, Marius R. (Marius Robinson), 1858-1940.

    1902-01-01

    .184 238.914 TST 9.204 22.055 63.511 137.205 243.122 TA 9.107 24.282 62.599 139.977 238.833 40 Table 11: EENS Variations for Different Parameter ? EENS [MWh] ? 1.0 1.2 1.4 1.6 1.8 IIM 1095.567 3431.206 9531.999 22659.550 46315.685 TST 1132...

  16. Provo City Corp (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    (MWH) TOT CONS 2009-03 1,368 18,290 30,311 1,749 28,411 4,779 437 10,070 1 3,554 56,771 35,091 2009-02 1,552 20,914 30,371 1,847 31,146 4,792 451 10,886 1 3,850 62,946 35,164...

  17. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  18. ORNL Neutron Sciences Annual Report for 2007

    SciTech Connect (OSTI)

    Anderson, Ian S [ORNL; Horak, Charlie M [ORNL; Counce, Deborah Melinda [ORNL; Ekkebus, Allen E [ORNL

    2008-07-01

    This is the first annual report of the Oak Ridge National Laboratory Neutron Sciences Directorate for calendar year 2007. It describes the neutron science facilities, current developments, and future plans; highlights of the year's activities and scientific research; and information on the user program. It also contains information about education and outreach activities and about the organization and staff. The Neutron Sciences Directorate is responsible for operation of the High Flux Isotope Reactor and the Spallation Neutron Source. The main highlights of 2007 were highly successful operation and instrument commissioning at both facilities. At HFIR, the year began with the reactor in shutdown mode and work on the new cold source progressing as planned. The restart on May 16, with the cold source operating, was a significant achievement. Furthermore, measurements of the cold source showed that the performance exceeded expectations, making it one of the world's most brilliant sources of cold neutrons. HFIR finished the year having completed five run cycles and 5,880 MWd of operation. At SNS, the year began with 20 kW of beam power on target; and thanks to a highly motivated staff, we reached a record-breaking power level of 183 kW by the end of the year. Integrated beam power delivered to the target was 160 MWh. Although this is a substantial accomplishment, the next year will bring the challenge of increasing the integrated beam power delivered to 887 MWh as we chart our path toward 5,350 MWh by 2011.

  19. Spectral quantification of nonlinear behaviour of the nearshore seabed and correlations with potential forcings at Duck, N.C., U.S.A

    E-Print Network [OSTI]

    V. Magar; M. Lefranc; R. B. Hoyle; D. E. Reeve

    2011-07-03

    Local bathymetric quasi-periodic patterns of oscillation are identified from monthly profile surveys taken at two shore-perpendicular transects at the USACE field research facility in Duck, North Carolina, USA, spanning 24.5 years and covering the swash and surf zones. The chosen transects are the two furthest (north and south) from the pier located at the study site. Research at Duck has traditionally focused on one or more of these transects as the effects of the pier are least at these locations. The patterns are identified using singular spectrum analysis (SSA). Possible correlations with potential forcing mechanisms are discussed by 1) doing an SSA with same parameter settings to independently identify the quasi-periodic cycles embedded within three potentially linked sequences: monthly wave heights (MWH), monthly mean water levels (MWL) and the large scale atmospheric index known as the North Atlantic Oscillation (NAO) and 2) comparing the patterns within MWH, MWL and NAO to the local bathymetric patterns. The results agree well with previous patterns identified using wavelets and confirm the highly nonstationary behaviour of beach levels at Duck; the discussion of potential correlations with hydrodynamic and atmospheric phenomena is a new contribution. The study is then extended to all measured bathymetric profiles, covering an area of 1100m (alongshore) by 440m (cross-shore), to 1) analyse linear correlations between the bathymetry and the potential forcings using multivariate empirical orthogonal functions (MEOF) and linear correlation analysis and 2) identify which collective quasi-periodic bathymetric patterns are correlated with those within MWH, MWL or NAO, based on a (nonlinear) multichannel singular spectrum analysis (MSSA). (...continued in submitted paper)

  20. Oncor Energy Efficiency Programs 

    E-Print Network [OSTI]

    Betts, C.

    2014-01-01

    -11-04 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 2012 – 2015 Energy Efficiency Goals Year Demand Goal MW Energy Goal MWh Basis 2012 53.1 93,031 25% of Average Load Growth 2013 54.6 95,659 30% of Average Load Growth 2014... 68.1 119,311 30% of Average Load Growth 2015* 87.0 152,424 30% of Average Load Growth • The Demand Goal is based on a five year rolling average of actual demand growth, provided by Oncor Revenue Forecasting • Goal calculations take credit for 7...

  1. Superconductive magnetic energy storage (SMES) external fields and safety considerations

    SciTech Connect (OSTI)

    Polk, C. . Dept. of Electrical Engineering); Boom, R.W.; Eyssa, Y.M. . Applied Superconductivity Center)

    1992-01-01

    This paper addresses preferred SMES configurations and the external magnetic fields which they generate. Possible biological effects of fields are reviewed briefly. It is proposed that SMES units be fenced at the 10 gauss (1 mT) level to keep unrestricted areas safe, even for persons with cardiac pacemakers. For a full size 5000 MWh (1.8 {times} 10 {sup 13} J) SMES the magnetic field decreases to 10 gauss at a radial distance of 2 km from the center of the coil. Other considerations related to the environmental impact of large SMES magnetic fields are discussed briefly.

  2. From Refining Sugar to Growing Tomatoes: Industrial Ecology and Business Model Evolution

    E-Print Network [OSTI]

    Short, Samuel W.; Bocken, Nancy M. P.; Barlow, Claire Y.; Chertow, Marian R.

    2014-10-13

    to 40,000 t Soft drinks producers, fire protection sector Electricity British Sugar 320,000 MWh Energy suppliers 4.6 Ecological benefits realized Table 3 provides a quantitative assessment of the major ecological benefits realized... in the UK with an 85.4% market share (IBISWorld 2013b). Also viewed as the most efficient beet sugar factory in Europe (IBISWorld 2013b) “Co- Products” Animal feed Trident (Now a subsidiary of AB Agri, part of the AB Food group) 140,000 t UK...

  3. Emissions Benefits of Distributed Generation in the Texas Market

    SciTech Connect (OSTI)

    Hadley, SW

    2005-06-16

    One potential benefit of distributed generation (DG) is a net reduction in air emissions. While DG will produce emissions, most notably carbon dioxide and nitrogen oxides, the power it displaces might have produced more. This study used a system dispatch model developed at Oak Ridge National Laboratory to simulate the 2012 Texas power market with and without DG. This study compares the reduction in system emissions to the emissions from the DG to determine the net savings. Some of the major findings are that 85% of the electricity displaced by DG during peak hours will be simple cycle natural gas, either steam or combustion turbine. Even with DG running as baseload, 57% of electricity displaced will be simple cycle natural gas. Despite the retirement of some gas-fired steam units and the construction of many new gas turbine and combined cycle units, the marginal emissions from the system remain quite high (1.4 lb NO{sub x}/MWh on peak and 1.1 lb NO{sub x}/MWh baseload) compared to projected DG emissions. Consequently, additions of DG capacity will reduce emissions in Texas from power generation in 2012. Using the DG exhaust heat for combined heat and power provides an even greater benefit, since it eliminates further boiler emissions while adding none over what would be produced while generating electricity. Further studies are warranted concerning the robustness of the result with changes in fuel prices, demands, and mixes of power generating technology.

  4. Development of zinc-bromine batteries for utility energy storage. First annual report, 1 September 1978-31 August 1979. [8-kWh submodule

    SciTech Connect (OSTI)

    Putt, R.; Attia, A.J.; Lu, P.Y.; Heyland, J.H.

    1980-05-01

    Development work on the Zn/Br battery is reported. A major improvement was the use of a bipolar cell design; this design is superior with respect to cost, performance, and simplicity. A cost and design study for an 80-kWh module resulted in a cost estimate of $54/kWh(1979$) for purchased materials and components, on the basis of 2500 MWh of annual production. A cell submodule (nominal 2 kWh) of full-sized electrodes (1 ft/sup 2/) accrued over 200 continuous cycles in a hands-off, automatic routine with efficiencies in the range of 53 to 56%. Initial testing of a full-sized 8-kWh submodule demonstrated energy efficiencies of 65 to 67%. 23 figures, 10 tables. (RWR)

  5. The carbon component of the UK power price

    SciTech Connect (OSTI)

    Kris Voorspools

    2006-08-01

    CO{sub 2} emissions trading is in full swing in Europe and is already having an impact on the price of power in the UK. If EU allowances (EUAs) trade at euro 20/t-CO{sub 2}, the EUA component in the power price is estimated to be slightly < euro 10/MW.h. In the case of UK power for delivery 1 year ahead, this is {approximately} 10% of the market price of power. The introduction of a carbon components into the UK power prices took place along before the 'official' start of ETS in 2005. Analysis of historical data of the price of power, gas, coal and EUAs shows that the first trace of a CO{sub 2} component in UK power dates back to August 2003, shortly after EUAs first started to trade. In April 2004, CO{sub 2} was fully integrated into the UK power price. 4 refs., 5 figs.

  6. Decay of Ba-120 

    E-Print Network [OSTI]

    Xu, SW; Guo, J. S.; Yuan, S. G.; Liu, M. Q.; Hagberg, E.; Koslowsky, V. T.; Hardy, John C.; Dyck, G.; Schmeing, H.

    1992-01-01

    I CHI T A WI LB A R G E R WI S E OSD Average CO2 Emissions Reductions from RAC-DFW International Airport OSD Average Savings 6.55 MWh (August 15 - September 15 of 2005) + 10% Distribution and Transmision Loss 0.0000 0.2000 0.4000 0.6000 0.8000 1... s ) TXU E l e c tri c /P C A NO x R edu ct i o n s (l b s ) To t a l N o x Re du c t i o n s (l b s ) To t a l N o x Red u c t i o n s (T o n s ) BA STRO P 0 . 0 1 - 0 . 2 0...

  7. A Locational Analysis of Generation Benefits on Long Island, NewYork

    SciTech Connect (OSTI)

    Wang, Juan; Cohen, Jesse; Edwards, Jennifer; Marnay, Chris

    2005-11-08

    Beginning in April of 2004, nine sites owned by Verizon began to participate in the Long Island Real Time Purchasing Pilot Project (LIRTP) as retail choice customers. LIRTP was designed to minimize electricity costs for retail customers who own on-site distributed generation (DG) units in the near-term, and to stabilize overall electricity costs in the long-term. The nine Verizon buildings have two types of DG units: gas turbines with an estimated generation cost of $156/MWh, and diesel units with an estimated cost of $120/MWh. Due to total site emission limits, the operable hours of the DG units are limited. To estimate the economic value of running on-site DG units, an analysis of the New York Independent System Operator (NYISO) Locational Based Marginal Price (LBMP) data for Long Island was conducted, mainly covering the summer months from 2000 to 2004. Distributions of LBMP, relationship between LBMP and load, and estimates of profitable operating hours for the units were all analyzed. Since Long Island is a diverse and highly congested area, LBMP varies greatly. Looking at the data statistically offers a zone-wide viewpoint, while using spatial analysis shows the LBMP intrazonal differentiation. LBMP is currently used by NYISO for pricing in the 11 NY control zones. Because geographic information systems (GIS) visualize the distribution of a phenomenon over space, it clarifies where load and generation nodes are located, and where load reduction would be most valuable. This study is based on the assumption that the control zone areas do not fully represent the diversity of pricing, and that intrazonal pricing can be analyzed to determine where and when electricity conservation or injection into the network is most valuable.

  8. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  9. Demontration of Integrated Optimization Software at the Baldwin Energy Complex

    SciTech Connect (OSTI)

    Rob James; John McDermott; Sanjay Patnaik; Steve Piche`

    2009-01-07

    This project encompassed the design, development, and demonstration of integrated online optimization systems at Dynegy Midwest Generation's Baldwin Energy Complex (BEC) located in Baldwin, Illinois. The overall project objective was to improve coal-based generation's emission profile, efficiency, maintenance requirements and plant asset life in order to enhance the long-term viability of the United States abundant coal resources. Five separate but integrated optimization products were developed, addressing combustion, sootblowing, SCR operations, overall unit thermal performance, and plant-wide availability optimization. Optimization results are inherently unit-specific and cannot be known for a particular generating unit in advance. However, NeuCo believed that the following were reasonable targets for the completed, integrated set of products: Furnace NOx reduction improvement by 5%, Heat rate improvement by 1.5%, Increase of annual Available MWh by 1.5%, Commensurate reductions in greenhouse gases, mercury, and particulates; and Commensurate increases in profitability from lower costs, improved reliability, and greater commercial availability. The goal during Phase I was to establish each system and demonstrate their integration in unified plant optimization. Efforts during Phase I focused on: (1) developing, deploying, integrating, and testing prototypes for each of the five products; (2) identifying and addressing issues required for the products to integrate with plant operations; and (3) systematically collecting and assimilating feedback to improve subsequent product releases. As described in the Phase II continuation application NeuCo successfully achieved the goal for Phase I. The goal of Phase II was to improve upon the products installed and tested in Phase I and to quantify the benefits of the integrated system. As this report documents, NeuCo has also successfully achieved the goal for Phase II. The overall results of the project, compared with the project goals, are: (1) NOx Reduction: The 5% target for NOx reduction was exceeded with average CEMS and SCR Inlet (furnace) NOx reduction of between 12% and 14%. (2) Heat Rate Improvement: The optimization systems delivered an average heat rate improvement of between 0.67% and 0.7%. This falls short of the 1.5% heat rate improvement target largely because Cyclone Stability (availability) and CEMS and SCR Inlet NOx were prioritized over heat rate in the event they needed to be traded-off with one another. A different prioritization of objectives could have driven a different balance, thereby meeting the target of 1.5% improvement. There were also several factors that could have been masking greater heat rate improvements such as the decrease in fuel density over the course of the project and the impact of actions taken as a result of advice provided by the optimizers that are difficult to quantify. (3) Increased Annual Available MWh: Although difficult to measure precisely, the target of increasing available MWh's by 1.5% was met by providing prioritized alerts and knowledge-based diagnostics for a wide array of plant equipment and process anomalies; helping the plant to move from high sulfur, high Btu Illinois coal to PRB and run that fuel at low stoichiometries without derates; and improved management of cyclone flame quality as well as improved vigilance with respect to cyclone conditions which avoided some degree of temporary de-rate due to cyclone slag build up. (4) Commensurate Reductions in Greenhouse Gases, Mercury, and Particulates: Reductions in all three of these indices can be associated directly with the optimization leverage observed in the heat rate and NOx reductions. (5) Commensurate Increases in Profitability from Lower Costs, Improved Reliability, and Greater Commercial Availability: Commensurate improvements in costs, reliability and availability resulted from the previously described benefits. Also playing a role were the sustained operation of the cyclones while using more available, less expensive but off-design fuel; more effective catal

  10. Technology Pathway Partnership Final Scientific Report

    SciTech Connect (OSTI)

    Hall, John C. Dr.; Godby, Larry A.

    2012-04-26

    This report covers the scientific progress and results made in the development of high efficiency multijunction solar cells and the light concentrating non-imaging optics for the commercial generation of renewable solar energy. During the contract period the efficiency of the multijunction solar cell was raised from 36.5% to 40% in commercially available fully qualified cells. In addition significant strides were made in automating production process for these cells in order to meet the costs required to compete with commercial electricity. Concurrent with the cells effort Boeing also developed a non imaging optical systems to raise the light intensity at the photovoltaic cell to the rage of 800 to 900 suns. Solar module efficiencies greater than 30% were consistently demonstrated. The technology and its manufacturing were maturated to a projected price of < $0.015 per kWh and demonstrated by automated assembly in a robotic factory with a throughput of 2 MWh/yr. The technology was demonstrated in a 100 kW power plant erected at California State University Northridge, CA.

  11. MODEL REQUEST FOR PROPOSALS TO PROVIDE ENERGY AND OTHER ATTRIBUTES FROM AN OFFSHORE WIND POWER PROJECT

    SciTech Connect (OSTI)

    Jeremy Firestone; Dawn Kurtz Crompton

    2011-10-22

    This document provides a model RFP for new generation. The 'base' RFP is for a single-source offshore wind RFP. Required modifications are noted should a state or utility seek multi-source bids (e.g., all renewables or all sources). The model is premised on proposals meeting threshold requirements (e.g., a MW range of generating capacity and a range in terms of years), RFP issuer preferences (e.g., likelihood of commercial operation by a date certain, price certainty, and reduction in congestion), and evaluation criteria, along with a series of plans (e.g., site, environmental effects, construction, community outreach, interconnection, etc.). The Model RFP places the most weight on project risk (45%), followed by project economics (35%), and environmental and social considerations (20%). However, if a multi-source RFP is put forward, the sponsor would need to either add per-MWh technology-specific, life-cycle climate (CO2), environmental and health impact costs to bid prices under the 'Project Economics' category or it should increase the weight given to the 'Environmental and Social Considerations' category.

  12. Waste-to-Energy Cogeneration Project, Centennial Park

    SciTech Connect (OSTI)

    Johnson, Clay; Mandon, Jim; DeGiulio, Thomas; Baker, Ryan

    2014-04-29

    The Waste-to-Energy Cogeneration Project at Centennial Park has allowed methane from the closed Centennial landfill to export excess power into the the local utility’s electric grid for resale. This project is part of a greater brownfield reclamation project to the benefit of the residents of Munster and the general public. Installation of a gas-to-electric generator and waste-heat conversion unit take methane byproduct and convert it into electricity at the rate of about 103,500 Mwh/year for resale to the local utility. The sale of the electricity will be used to reduce operating budgets by covering the expenses for streetlights and utility bills. The benefits of such a project are not simply financial. Munster’s Waste-to Energy Cogeneration Project at Centennial Park will reduce the community’s carbon footprint in an amount equivalent to removing 1,100 cars from our roads, conserving enough electricity to power 720 homes, planting 1,200 acres of trees, or recycling 2,000 tons of waste instead of sending it to a landfill.

  13. Fuel Cell Demonstration Project - 200 kW - Phosphoric Acid Fuel Cell Power Plant Located at the National Transportation Research Center: FINAL REPORT

    SciTech Connect (OSTI)

    Berry, JB

    2005-05-06

    Oak Ridge National Laboratory (ORNL) researches and develops distributed generation technology for the Department of Energy, Energy Efficiency and Renewable Energy Distributed Energy Program. This report describes installation and operation of one such distributed generation system, a United Technology Corporation fuel cell located at the National Transportation Research Center in Knoxville, Tennessee. Data collected from June 2003 to June of 2004, provides valuable insight regarding fuel cell-grid compatibility and the cost-benefit of the fuel cell operation. The NTRC fuel cell included a high-heat recovery option so that use of thermal energy improves project economics and improves system efficiency to 59% year round. During the year the fuel cell supplied a total of 834MWh to the NTRC and provided 300MBtu of hot water. Installation of the NTRC fuel cell was funded by the Distributed Energy Program with partial funding from the Department of Defense's Climate Change Fuel Cell Buy Down Program, administered by the National Energy Technology Laboratory. On-going operational expenses are funded by ORNL's utility budget and are paid from operational cost savings. Technical information and the benefit-cost of the fuel cell are both evaluated in this report and sister reports.

  14. Membrane Development for Vanadium Redox Flow Batteries

    SciTech Connect (OSTI)

    Schwenzer, Birgit; Zhang, Jianlu; Kim, Soowhan; Li, Liyu; Liu, Jun; Yang, Zhenguo

    2011-10-17

    Large-scale energy storage has become a main bottleneck for increasing the percentage of renewable energy in our electricity grids. Redox flow batteries are considered to be among the best options for electricity storage in the megawatt range, and large demonstration systems have already been installed. Although the full technological potential of these systems has not been reached yet, currently the main problem hindering more widespread commercialization is the high cost of redox flow batteries. Nafion{reg_sign} as the preferred membrane material is responsible for {approx}11% of the overall cost of a 1 MW/8 MWh system. Therefore in recent years two main membrane-related research threads have emerged: (a) chemical and physical modification of Nafion membranes to optimize their properties with regard to vanadium redox flow battery (VRFB) application; and (b) replacement of the Nafion membranes with different, less expensive materials. This review summarizes the underlying basic science issues associated with membrane use in VRFBs and presents an overview of membrane-related research approaches aimed at improving the efficiency of VRFBs and making the technology cost-competitive. Promising research strategies and materials are identified and suggestions are provided on how materials issues could be overcome.

  15. Radiation tolerance of piezoelectric bulk single-crystal aluminum nitride

    SciTech Connect (OSTI)

    David A. Parks; Bernhard R. Tittmann

    2014-07-01

    For practical use in harsh radiation environments, we pose selection criteria for piezoelectric materials for nondestructive evaluation (NDE) and material characterization. Using these criteria, piezoelectric aluminum nitride is shown to be an excellent candidate. The results of tests on an aluminumnitride-based transducer operating in a nuclear reactor are also presented. We demonstrate the tolerance of single-crystal piezoelectric aluminum nitride after fast and thermal neutron fluences of 1.85 × 1018 neutron/cm2 and 5.8 × 1018 neutron/cm2, respectively, and a gamma dose of 26.8 MGy. The radiation hardness of AlN is most evident from the unaltered piezoelectric coefficient d33, which measured 5.5 pC/N after a fast and thermal neutron exposure in a nuclear reactor core for over 120 MWh, in agreement with the published literature value. The results offer potential for improving reactor safety and furthering the understanding of radiation effects on materials by enabling structural health monitoring and NDE in spite of the high levels of radiation and high temperatures, which are known to destroy typical commercial ultrasonic transducers.

  16. Water: May be the Best Near-Term Benefit and Driver of a Robust Wind Energy Future (Poster)

    SciTech Connect (OSTI)

    Flowers, L.; Reategui, S.

    2009-05-01

    Water may be the most critical natural resource variable that affects the selection of generation options in the next decade. Extended drought in the western United States and more recently in the Southeast has moved water management and policy to the forefront of the energy options discussions. Recent climate change studies indicate that rising ambient temperatures could increase evapotranspiration by more than 25% to 30% in large regions of the country. Increasing demand for electricity, and especially from homegrown sources, inevitably will increase our thermal fleet, which consumes 400 to 700 gal/MWh for cooling. Recovering the vast oil shale resources in the West (one of the energy options discussed) is water intensive and threatens scarce water supplies. Irrigation for the growing corn ethanol industry requires 1,000 to 2,000 gallons of water for 1 gallon of production. Municipalities continue to grow and drive water demands and emerging constrained market prices upward. As illustrated by the 20% Wind Energy by 2030 analysis, wind offers an important mitigation opportunity: a 4-trillion-gallon water savings. This poster highlights the emerging constrained water situation in the United States and presents the case for wind energy as one of the very few means to ameliorate the emerging water wars in various U.S. regions.

  17. A Green Prison: The Santa Rita Jail Campus Microgrid

    SciTech Connect (OSTI)

    Marnay, Chris; DeForest, Nicholas; Lai, Judy

    2012-01-22

    A large microgrid project is nearing completion at Alameda County’s twenty-two-year-old 45 ha 4,000-inmate Santa Rita Jail, about 70 km east of San Francisco. Often described as a green prison, it has a considerable installed base of distributed energy resources (DER) including an eight-year old 1.2 MW PV array, a five-year old 1 MW fuel cell with heat recovery, and considerable efficiency investments. A current US$14 M expansion adds a 2 MW-4 MWh Li-ion battery, a static disconnect switch, and various controls upgrades. During grid blackouts, or when conditions favor it, the Jail can now disconnect from the grid and operate as an island, using the on-site resources described together with its back-up diesel generators. In other words, the Santa Rita Jail is a true microgrid, or ?grid, because it fills both requirements, i.e. it is a locally controlled system, and it can operate both grid connected and islanded. The battery’s electronics includes Consortium for Electric Reliability Technology (CERTS) Microgrid technology. This enables the battery to maintain energy balance using droops without need for a fast control system.

  18. An Analysis of Wind Power Development in the Town of Hull, MA, Appendix 2: LaCapra Financial Study

    SciTech Connect (OSTI)

    Adams, Christopher

    2013-06-30

    The financial analysis and summary results presented in this document represent a first cut at an economic assessment of the proposed Hull Offshore Wind Project. Wind turbine price increases have outpaced the materials and labor price pressures faced by nonrenewable power plant developers due to increased demands on a limited pool of turbine manufacturers and offshore installation companies. Moreover, given the size of the proposed offshore facility, it may be difficult to contract with turbine manufacturers and/or foundation companies given the size and scope of competing worldwide demand. The results described in this report assume that such conditions will not significantly impact the prices that will have to be received from the output of the project; rather, the project size may require as a prerequisite that Hull be able to piggyback on other offshore efforts. The financial estimates provided here necessarily feature a range due to uncertainty in a number of project assumptions as well as overall uncertainty in offshore wind costs. Nevertheless, taken together, the analysis provides a ballpark revenue requirement of approximately $157/MWh for the municipal financing option, with higher estimates possible assuming escalation in costs to levels higher than assumed here.

  19. Brighter Future: A Study on Solar in U.S. Schools

    Broader source: Energy.gov [DOE]

    In a first-of-its-kind report tracking the use of solar energy at K-12 schools in the United States, The Solar Foundation has developed the most comprehensive understanding to date of how schools are using and financing solar energy and the potential for still more schools to benefit from the technology. According to the report, there are currently 3,752 K-12 schools with solar installations, meaning nearly 2.7 million students attend schools with solar energy systems. These PV systems have a combined capacity of 490 megawatts (MW), and generate roughly 642,000 megawatt-hours (MWh) of electricity each year, equivalent to $77.8 million worth of utility bills and enough clean, renewable energy to offset 50 million gallons of gasoline. Solar potential on schools remains largely untapped. Of the 125,000 K-12 schools in the country, up to 72,000 schools (60%) can "go solar" cost-effectively. Approximately 450 individual schools districts have the potential to save more than $1 million over 30 years by installing a solar PV system.

  20. Chapter 2: Sustainable and Unsustainable Developments in the U.S. Energy System

    SciTech Connect (OSTI)

    Levine, Mark; Levine, Mark D.; Aden, Nathaniel T.

    2008-05-01

    Over the course of the nineteenth and twentieth centuries, the United States developed a wealthy society on the basis of cheap and abundant fossil fuel energy. As fossil fuels have become ecologically and economically expensive in the twenty-first century, America has shown mixed progress in transitioning to a more sustainable energy system. From 2000 to 2006, energy and carbon intensity of GDP continued favorable long-term trends of decline. Energy end-use efficiency also continued to improve; for example, per-capita electricity use was 12.76 MWh per person per year in 2000 and again in 2006, despite 16 percent GDP growth over that period. Environmental costs of U.S. energy production and consumption have also been reduced, as illustrated in air quality improvements. However, increased fossil fuel consumption, stagnant efficiency standards, and expanding corn-based ethanol production have moved the energy system in the opposite direction, toward a less sustainable energy system. This chapter reviews energy system developments between 2000 and 2006 and presents policy recommendations to move the United States toward a more sustainable energy system.

  1. Performance assessment of the PNM Prosperity electricity storage project :

    SciTech Connect (OSTI)

    Roberson, Dakota; Ellison, James F.; Bhatnagar, Dhruv; Schoenwald, David A.

    2014-05-01

    The purpose of this study is to characterize the technical performance of the PNM Prosperity electricity storage project, and to identify lessons learned that can be used to improve similar projects in the future. The PNM Prosperity electricity storage project consists of a 500 kW/350 kWh advanced lead-acid battery with integrated supercapacitor (for energy smoothing) and a 250 kW/1 MWh advanced lead-acid battery (for energy shifting), and is co-located with a 500 kW solar photovoltaic (PV) resource. The project received American Reinvestment and Recovery Act (ARRA) funding. The smoothing system is e ective in smoothing intermittent PV output. The shifting system exhibits good round-trip efficiencies, though the AC-to-AC annual average efficiency is lower than one might hope. Given the current utilization of the smoothing system, there is an opportunity to incorporate additional control algorithms in order to increase the value of the energy storage system.

  2. Impact Assessment of Plug-in Hybrid Vehicles on the U.S. Power Grid

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW; Nguyen, Tony B.; Jin, Chunlian; Balducci, Patrick J.; Secrest, Thomas J.

    2010-09-30

    The US electricity grid is a national infrastructure that has the potential to deliver significant amounts of the daily driving energy of the US light duty vehicle (cars, pickups, SUVs, and vans) fleet. This paper discusses a 2030 scenario with 37 million plug-in hybrid electric vehicles (PHEVs) on the road in the US demanding electricity for an average daily driving distance of about 33 miles (53 km). The paper addresses the potential grid impacts of the PHEVs fleet relative to their effects on the production cost of electricity, and the emissions from the electricity sector. The results of this analysis indicate significant regional difference on the cost impacts and the CO2 emissions. Battery charging during the day may have twice the cost impacts than charging during the night. The CO2 emissions impacts are very region-dependent. In predominantly coal regions (Midwest), the new PHEV load may reduce the CO2 emission intensity (ton/MWh), while in others regions with significant clean generation (hydro and renewable energy) the CO2 emission intensity may increase. Discussed will the potential impact of the results with the valuation of carbon emissions.

  3. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

    Auslander, David; Culler, David; Wright, Paul; Lu, Yan; Piette, Mary

    2013-12-30

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load during the study period was 1175 kW. Several new tools facilitated this work, such as the Smart Energy Box, the distributed load controller or Energy Information Gateway, the web-­based DR controller (dubbed the Central Load-­Shed Coordinator or CLSC), and the Demand Response Capacity Assessment & Operation Assistance Tool (DRCAOT). In addition, an innovative data aggregator called sMAP (simple Measurement and Actuation Profile) allowed data from different sources collected in a compact form and facilitated detailed analysis of the building systems operation. A smart phone application (RAP or Rapid Audit Protocol) facilitated an inventory of the building’s plug loads. Carbon dioxide sensors located in conference rooms and classrooms allowed demand controlled ventilation. The extensive submetering and nimble access to this data provided great insight into the details of the building operation as well as quick diagnostics and analyses of tests. For example, students discovered a short-­cycling chiller, a stuck damper, and a leaking cooling coil in the first field tests. For our final field tests, we were able to see how each zone was affected by the DR strategies (e.g., the offices on the 7th floor grew very warm quickly) and fine-­tune the strategies accordingly.

  4. Advanced Microturbine Systems

    SciTech Connect (OSTI)

    Rosfjord, T; Tredway, W; Chen, A; Mulugeta, J; Bhatia, T

    2008-12-31

    In July 2000, the United Technologies Research Center (UTRC) was one of five recipients of a US Department of Energy contract under the Advanced Microturbine System (AMS) program managed by the Office of Distributed Energy (DE). The AMS program resulted from several government-industry workshops that recognized that microturbine systems could play an important role in improving customer choice and value for electrical power. That is, the group believed that electrical power could be delivered to customers more efficiently and reliably than the grid if an effective distributed energy strategy was followed. Further, the production of this distributed power would be accomplished with less undesirable pollutants of nitric oxides (NOx) unburned hydrocarbons (UHC), and carbon monoxide (CO). In 2000, the electrical grid delivered energy to US customers at a national average of approximately 32% efficiency. This value reflects a wide range of powerplants, but is dominated by older, coal burning stations that provide approximately 50% of US electrical power. The grid efficiency is also affected by transmission and distribution (T&D) line losses that can be significant during peak power usage. In some locations this loss is estimated to be 15%. Load pockets can also be so constrained that sufficient power cannot be transmitted without requiring the installation of new wires. New T&D can be very expensive and challenging as it is often required in populated regions that do not want above ground wires. While historically grid reliability has satisfied most customers, increasing electronic transactions and the computer-controlled processes of the 'digital economy' demand higher reliability. For them, power outages can be very costly because of transaction, work-in-progress, or perishable commodity losses. Powerplants that produce the grid electrical power emit significant levels of undesirable NOx, UHC, and CO pollutants. The level of emission is quoted as either a technology metric or a system-output metric. A common form for the technology metric is in the units of PPM {at} 15% O2. In this case the metric reflects the molar fraction of the pollutant in the powerplant exhaust when corrected to a standard exhaust condition as containing 15% (molar) oxygen, assuring that the PPM concentrations are not altered by subsequent air addition or dilution. Since fuel combustion consumes oxygen, the output oxygen reference is equivalent to a fuel input reference. Hence, this technology metric reflects the moles of pollutant per mole of fuel input, but not the useful output of the powerplant-i.e. the power. The system-output metric does embrace the useful output and is often termed an output-based metric. A common form for the output-based metric is in the units of lb/MWh. This is a system metric relating the pounds of pollutant to output energy (e.g., MWh) of the powerplant.

  5. Changes in the Economic Value of Variable Generation at High Penetration Levels: A Pilot Case Study of California

    SciTech Connect (OSTI)

    Mills, Andrew; Wiser, Ryan

    2012-05-18

    We estimate the long-run economic value of variable renewable generation with increasing penetration using a unique investment and dispatch model that captures long-run investment decisions while also incorporating detailed operational constraints and hourly time resolution over a full year. High time resolution and the incorporation of operational constraints are important for estimating the economic value of variable generation, as is the use of a modeling framework that accommodates new investment decisions. The model is herein applied with a case study that is loosely based on California in 2030. Increasing amounts of wind, photovoltaics (PV), and concentrating solar power (CSP) with and without thermal energy storage (TES) are added one at a time. The marginal economic value of these renewable energy sources is estimated and then decomposed into capacity value, energy value, day-ahead forecast error cost, and ancillary services. The marginal economic value, as defined here, is primarily based on the combination of avoided capital investment cost and avoided variable fuel and operations and maintenance costs from other power plants in the power system. Though the model only captures a subset of the benefits and costs of renewable energy, it nonetheless provides unique insights into how the value of that subset changes with technology and penetration level. Specifically, in this case study implementation of the model, the marginal economic value of all three solar options is found to exceed the value of a flat-block of power (as well as wind energy) by \\$20--30/MWh at low penetration levels, largely due to the high capacity value of solar at low penetration. Because the value of CSP per unit of energy is found to be high with or without thermal energy storage at low penetration, we find little apparent incremental value to thermal storage at low solar penetration in the present case study analysis. The marginal economic value of PV and CSP without thermal storage is found to drop considerably (by more than \\$70/MWh) as the penetration of solar increases toward 30\\percent on an energy basis. This is due primarily to a steep drop in capacity value followed by a decrease in energy value. In contrast, the value of CSP with thermal storage drops much less dramatically as penetration increases. As a result, at solar penetration levels above 10\\percent, CSP with thermal storage is found to be considerably more valuable relative to PV and CSP without thermal storage. The marginal economic value of wind is found to be largely driven by energy value, and is lower than solar at low penetration. The marginal economic value of wind drops at a relatively slower rate with penetration, however. As a result, at high penetration, the value of wind can exceed the value of PV and CSP without thermal storage. Though some of these findings may be somewhat unique to the specific case study presented here, the results: (1) highlight the importance of an analysis framework that addresses long-term investment decisions as well as short-term dispatch and operational constraints, (2) can help inform long-term decisions about renewable energy procurement and supporting infrastructure, and (3) point to areas where further research is warranted.

  6. Design Concepts for Co-Production of Power, Fuels & Chemicals Via Coal/Biomass Mixtures

    SciTech Connect (OSTI)

    Rao, A. D.; Chen, Q.; Samuelsen, G. S.

    2012-09-30

    The overall goal of the program is to develop design concepts, incorporating advanced technologies in areas such as oxygen production, feed systems, gas cleanup, component separations and gas turbines, for integrated and economically viable coal and biomass fed gasification facilities equipped with carbon capture and storage for the following scenarios: (i) coproduction of power along with hydrogen, (ii) coproduction of power along with fuels, (iii) coproduction of power along with petrochemicals, and (iv) coproduction of power along with agricultural chemicals. To achieve this goal, specifically the following objectives are met in this proposed project: (i) identify advanced technology options and innovative preliminary design concepts that synergistically integrate plant subsections, (ii) develop steady state system simulations to predict plant efficiency and environmental signature, (iii) develop plant cost estimates by capacity factoring major subsystems or by major equipment items where required, and then capital, operating and maintenance cost estimates, and (iv) perform techno- economic analyses for the above described coproduction facilities. Thermal efficiencies for the electricity only cases with 90% carbon capture are 38.26% and 36.76% (HHV basis) with the bituminous and the lignite feedstocks respectively. For the coproduction cases (where 50% of the energy exported is in the form of electricity), the electrical efficiency, as expected, is highest for the hydrogen coproduction cases while lowest for the higher alcohols (ethanol) coproduction cases. The electrical efficiencies for Fischer-Tropsch coproduction cases are slightly higher than those for the methanol coproduction cases but it should be noted that the methanol (as well as the higher alcohol) coproduction cases produce the finished coproduct while the Fischer-Tropsch coproduction cases produce a coproduct that requires further processing in a refinery. The cross comparison of the thermal performance between the various coproduct cases is further complicated by the fact that the carbon footprint is not the same when carbon leaving with the coproduct are accounted for. The economic analysis and demand for a particular coproduct in the market place is a more meaningful comparison of the various coproduction scenarios. The first year cost of electricity calculated for the bituminous coal is $102.9/MWh while that for the lignite is $108.1/MWh. The calculated cost of hydrogen ranged from $1.42/kg to $2.77/kg depending on the feedstock, which is lower than the DOE announced hydrogen cost goal of $3.00/kg in July 14, 2005. Methanol cost ranged from $345/MT to $617/MT, while the market price is around $450/MT. For Fischer-Tropsch liquids, the calculated cost ranged from $65/bbl to $112/bbl, which is comparable to the current market price of crude oil at around $100/bbl. It should be noted, however, that F-T liquids contain no sulfur and nitrogen compounds. The calculated cost of alcohol ranged from $4.37/gal to $5.43/gal, while it ranged from $2.20/gal to $3.70/gal in a DOE funded study conducted by Louisiana State University. The Louisiana State University study consisted of a significantly larger plant than our study and benefited from economies of scale. When the plant size in our study is scaled up to similar size as in the Louisiana State University study, cost of alcohol is then reduced to a range of $3.24/gal to $4.28/gal, which is comparable. Urea cost ranged from $307/MT to $428/MT, while the market price is around $480/MT.

  7. Plantwide Energy Assessment of a Sugarcane Farming and Processing Facility

    SciTech Connect (OSTI)

    Jakeway, L.A.; Turn, S.Q.; Keffer, V.I.; Kinoshita, C.M.

    2006-02-27

    A plantwide energy assessment was performed at Hawaiian Commercial & Sugar Co., an integrated sugarcane farming and processing facility on the island of Maui in the State of Hawaii. There were four main tasks performed for the plantwide energy assessment: 1) pump energy assessment in both field and factory operations, 2) steam generation assessment in the power production operations, 3) steam distribution assessment in the sugar manufacturing operation, and 4) electric power distribution assessment of the company system grid. The energy savings identified in each of these tasks were summarized in terms of fuel savings, electricity savings, or opportunity revenue that potentially exists mostly from increased electric power sales to the local electric utility. The results of this investigation revealed eight energy saving projects that can be implemented at HC&S. These eight projects were determined to have potential for $1.5 million in annual fuel savings or 22,337 MWh equivalent annual electricity savings. Most of the savings were derived from pump efficiency improvements and steam efficiency improvements both in generation and distribution. If all the energy saving projects were implemented and the energy savings were realized as less fuel consumed, there would be corresponding reductions in regulated air pollutants and carbon dioxide emissions from supplemental coal fuel. As HC&S is already a significant user of renewable biomass fuel for its operations, the projected reductions in air pollutants and emissions will not be as great compared to using only coal fuel for example. A classification of implementation priority into operations was performed for the identified energy saving projects based on payback period and ease of implementation.

  8. TidGen Power System Commercialization Project

    SciTech Connect (OSTI)

    Sauer, Christopher R.; McEntee, Jarlath

    2013-12-30

    ORPC Maine, LLC, a wholly-owned subsidiary of Ocean Renewable Power Company, LLC (collectively ORPC), submits this Final Technical Report for the TidGen® Power System Commercialization Project (Project), partially funded by the U.S. Department of Energy (DE-EE0003647). The Project was built and operated in compliance with the Federal Energy Regulatory Commission (FERC) pilot project license (P-12711) and other permits and approvals needed for the Project. This report documents the methodologies, activities and results of the various phases of the Project, including design, engineering, procurement, assembly, installation, operation, licensing, environmental monitoring, retrieval, maintenance and repair. The Project represents a significant achievement for the renewable energy portfolio of the U.S. in general, and for the U.S. marine hydrokinetic (MHK) industry in particular. The stated Project goal was to advance, demonstrate and accelerate deployment and commercialization of ORPC’s tidal-current based hydrokinetic power generation system, including the energy extraction and conversion technology, associated power electronics, and interconnection equipment capable of reliably delivering electricity to the domestic power grid. ORPC achieved this goal by designing, building and operating the TidGen® Power System in 2012 and becoming the first federally licensed hydrokinetic tidal energy project to deliver electricity to a power grid under a power purchase agreement in North America. Located in Cobscook Bay between Eastport and Lubec, Maine, the TidGen® Power System was connected to the Bangor Hydro Electric utility grid at an on-shore station in North Lubec on September 13, 2012. ORPC obtained a FERC pilot project license for the Project on February 12, 2012 and the first Maine Department of Environmental Protection General Permit issued for a tidal energy project on January 31, 2012. In addition, ORPC entered into a 20-year agreement with Bangor Hydro Electric Company on January 1, 2013 for up to 5 megawatts at a price of $215/MWh, escalating at 2.0% per year.

  9. TEP Power Partners Project [Tucson Electric Power

    SciTech Connect (OSTI)

    2013-11-19

    The Arizona Governor’s Office of Energy Policy, in partnership with Tucson Electric Power (TEP), Tendril, and Next Phase Energy (NPE), formed the TEP Power Partners pilot project to demonstrate how residential customers could access their energy usage data and third party applications using data obtained from an Automatic Meter Reading (AMR) network. The project applied for and was awarded a Smart Grid Data Access grant through the U.S. Department of Energy. The project participants’ goal for Phase I is to actively engage 1,700 residential customers to demonstrate sustained participation, reduction in energy usage (kWh) and cost ($), and measure related aspects of customer satisfaction. This Demonstration report presents a summary of the findings, effectiveness, and customer satisfaction with the 15-month TEP Power Partners pilot project. The objective of the program is to provide residential customers with energy consumption data from AMR metering and empower these participants to better manage their electricity use. The pilot recruitment goals included migrating 700 existing customers from the completed Power Partners Demand Response Load Control Project (DRLC), and enrolling 1,000 new participants. Upon conclusion of the project on November 19, 2013: ? 1,390 Home Area Networks (HANs) were registered. ? 797 new participants installed a HAN. ? Survey respondents’ are satisfied with the program and found value with a variety of specific program components. ? Survey respondents report feeling greater control over their energy usage and report taking energy savings actions in their homes after participating in the program. ? On average, 43 % of the participants returned to the web portal monthly and 15% returned weekly. ? An impact evaluation was completed by Opinion Dynamics and found average participant savings for the treatment period1 to be 2.3% of their household use during this period.2 In total, the program saved 163 MWh in the treatment period of 2013.

  10. Baker-Barry Tunnel Lighting: Evaluation of a Potential GATEWAY Demonstrations Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-06-28

    The U.S. Department of Energy is evaluating the Baker-Barry Tunnel as a potential GATEWAY Demonstrations project for deployment of solid-state lighting (SSL) technology. The National Park Service views this project as a possible proving ground and template for implementation of light-emitting diode (LED) luminaires in other tunnels, thereby expanding the estimated 40% energy savings from 132 MWh/yr to a much larger figure nationally. Most of the energy savings in this application is attributable to the instant-restrike capability of LED products and to their high tolerance for frequent on/off switching, used here to separately control either end of the tunnel during daytime hours. Some LED luminaires rival or outperform their high-intensity discharge (HID) counterparts in terms of efficacy, but options are limited, and smaller lumen packages preclude true one-for-one equivalence. However, LED products continue to improve in efficacy and affordability at a rate unmatched by other light source technologies; the estimated simple payback period of eight years (excluding installation costs and maintenance savings) can be expected to improve with time. The proposed revisions to the existing high-pressure sodium (HPS) lighting system would require slightly increased controls complexity and significantly increased luminaire types and quantities. In exchange, substantial annual savings (from reduced maintenance and energy use) would be complemented by improved quantity and quality of illumination. Although advanced lighting controls could offer additional savings, it is unclear whether such a system would prove cost-effective; this topic may be explored in future work.

  11. Molten carbonate fuel cell product development test. Final report, September 30, 1992--March 31, 1997

    SciTech Connect (OSTI)

    1997-12-31

    This report summarizes the work performed for manufacturing and demonstrating the performance of its 250-kW molten carbonate fuel cell (MCFC) stack in an integrated system at the Naval Air Station Miramar (NAS Miramar) located in San Diego, California. The stack constructed for the demonstration test at the NAS Miramar consisted of 250 cells. It was manufactured using M-C Power`s patented Internally Manifolded Heat Exchanger (IMHEX{reg_sign}) stack design. The demonstration test at NAS Miramar was designed to operate the 250-kW MCFC stack in a cogeneration mode. This test represented the first attempt to thermally integrate an MCFC stack in a cogeneration system. The test was started on January 10, 1997, and voluntarily terminated on May 12, 1997, after 2,350 hours of operation at temperatures above 1,100 F and at a pressure of three atmospheres. It produced 160 MWh of d.c. power and 346,000 lbs of 110 psig steam for export during 1,566 hours of on-load operations. The test demonstrated a d.c. power output of 206 kW. Most of the balance of the plant (BOP) equipment operated satisfactorily. However, the off-the-shelf automotive turbocharger used for supplying air to the plant failed on numerous occasions and the hot gas blower developed seal leakage problems which impacted continuous plant operations. Overall the demonstration test at NAS Miramar was successful in demonstrating many critical features of the IMHEX technology. Lessons learned from this test will be very useful for improving designs and operations for future MCFC power plants.

  12. Recovery Act: Brea California Combined Cycle Electric Generating Plant Fueled by Waste Landfill Gas

    SciTech Connect (OSTI)

    Galowitz, Stephen

    2012-12-31

    The primary objective of the Project was to maximize the productive use of the substantial quantities of waste landfill gas generated and collected at the Olinda Landfill near Brea, California. An extensive analysis was conducted and it was determined that utilization of the waste gas for power generation in a combustion turbine combined cycle facility was the highest and best use. The resulting Project reflected a cost effective balance of the following specific sub-objectives: • Meeting the environmental and regulatory requirements, particularly the compliance obligations imposed on the landfill to collect, process and destroy landfill gas • Utilizing proven and reliable technology and equipment • Maximizing electrical efficiency • Maximizing electric generating capacity, consistent with the anticipated quantities of landfill gas generated and collected at the Olinda Landfill • Maximizing equipment uptime • Minimizing water consumption • Minimizing post-combustion emissions • The Project produced and will produce a myriad of beneficial impacts. o The Project created 360 FTE construction and manufacturing jobs and 15 FTE permanent jobs associated with the operation and maintenance of the plant and equipment. o By combining state-of-the-art gas clean up systems with post combustion emissions control systems, the Project established new national standards for best available control technology (BACT). o The Project will annually produce 280,320 MWh’s of clean energy o By destroying the methane in the landfill gas, the Project will generate CO2 equivalent reductions of 164,938 tons annually. The completed facility produces 27.4 MWnet and operates 24 hours a day, seven days a week.

  13. Water Power for a Clean Energy Future (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This fact sheet provides an overview of the U.S. Department of Energy's Wind and Water Power Program's water power research activities. Water power is the nation's largest source of clean, domestic, renewable energy. Harnessing energy from rivers, manmade waterways, and oceans to generate electricity for the nation's homes and businesses can help secure America's energy future. Water power technologies fall into two broad categories: conventional hydropower and marine and hydrokinetic technologies. Conventional hydropower facilities include run-of-the-river, storage, and pumped storage. Most conventional hydropower plants use a diversion structure, such as a dam, to capture water's potential energy via a turbine for electricity generation. Marine and hydrokinetic technologies obtain energy from waves, tides, ocean currents, free-flowing rivers, streams and ocean thermal gradients to generate electricity. The United States has abundant water power resources, enough to meet a large portion of the nation's electricity demand. Conventional hydropower generated 257 million megawatt-hours (MWh) of electricity in 2010 and provides 6-7% of all electricity in the United States. According to preliminary estimates from the Electric Power Resource Institute (EPRI), the United States has additional water power resource potential of more than 85,000 megawatts (MW). This resource potential includes making efficiency upgrades to existing hydroelectric facilities, developing new low-impact facilities, and using abundant marine and hydrokinetic energy resources. EPRI research suggests that ocean wave and in-stream tidal energy production potential is equal to about 10% of present U.S. electricity consumption (about 400 terrawatt-hours per year). The greatest of these resources is wave energy, with the most potential in Hawaii, Alaska, and the Pacific Northwest. The Department of Energy's (DOE's) Water Power Program works with industry, universities, other federal agencies, and DOE's national laboratories to promote the development and deployment of technologies capable of generating environmentally sustainable and cost-effective electricity from the nation's water resources.

  14. Economic evaluation of losses to electric power utilities caused by ash fouling. Final technical report, November 1, 1979-April 30, 1980

    SciTech Connect (OSTI)

    Burkhardt, F.R.; Persnger, M.M.

    1980-01-01

    Problems with convection ash fouling and wall slagging were considerable during our study. The Dakota lignites posed the greatest problems, particularly with fouling. The subbituminous coals had considerable problems, related mostly with wall slagging. The Texas lignites had few problems, and those were only associated with wall slagging. The generation losses were as follows: The Dakota lignite burning stations averaged an overall availability of 87.13%. Convection fouling outages were responsible for 57.75% of this outage time for a decrease in availability of 7.43%. Fouling was responsible for curtailment losses of 317,649 Mwh or 8.25% of the remaining available generation. Slagging was responsible for losses of 2732 megawatt hours or .07% of the remaining available generation. Total ash related losses amounted to 16.08% of the total available generation. The subbituminous burning stations averaged an overall availability of 78.36%. Total ash related losses amounted to 1.54% of the total available generation. The Texas lignite burning stations averaged an overall availability of 80.63%. No ash related outage losses occurred. Slagging curtailments accounted 0.08% of the total available generation. Costs due to ash fouling and slagging related curtailments are a tremendous sum. Seven power stations were studied for a six month period to assess costs. The total cost directly attributable to ash slagging and fouling condition was $20,638,113. Recommendations for reducing the problems involve soot blowers, control of furnace gas exit temperature, water blowers and more conservative boiler design.

  15. PRELIMINARY TECHNICAL AND ECONOMIC FEASIBILITY STUDY ON THE INTEGRATION OF A PROCESS UTILIZING LOW-ENERGY SOLVENTS FOR CARBON DIOXIDE CAPTURE ENABLED BY A COMBINATION OF ENZYMES AND ULTRASONICS WITH A SUBCRITICAL PC POWER PLANT

    SciTech Connect (OSTI)

    Swaminathan, Saravanan; Kuczynska, Agnieszka; Hume, Scott; Mulgundmath, Vinay; Freeman, Charles; Bearden, Mark; Remias, Joe; Ambedkar, Balraj; Salmon, Sonja; House, Alan

    2012-11-01

    The results of the preliminary techno-economic assessment for integrating a process utilizing low-energy solvents for carbon dioxide (CO2) capture enabled by a combination of enzymes and ultrasonics with a subcritical pulverized coal (PC) power plant are presented. Four cases utilizing the enzyme-activated solvent are compared using different methodologies of regeneration against the DOE/NETL reference MEA case. The results are shown comparing the energy demand for post-combustion CO2 capture and the net higher heating value (HHV) efficiency of the power plant integrated with the post-combustion capture (PCC) plant. A levelized cost of electricity (LCOE) assessment was performed showing the costs of the options presented in the study. The key factors contributing to the reduction of LCOE were identified as enzyme make-up rate and the capability of the ultrasonic regeneration process. The net efficiency of the integrated PC power plant with CO2 capture changes from 24.9% with the reference Case 10 plant to between 24.34% and 29.97% for the vacuum regeneration options considered, and to between 26.63% and 31.41% for the ultrasonic regeneration options. The evaluation also shows the effect of the critical parameters on the LCOE, with the main variable being the initial estimation of enzyme dosing rate. The LCOE ($/MWh) values range from 112.92 to 125.23 for the vacuum regeneration options and from 108.9 to 117.50 for the ultrasonic regeneration cases considered in comparison to 119.6 for the reference Case 10. A sensitivity analysis of the effect of critical parameters on the LCOE was also performed. The results from the preliminary techno-economic assessment show that the proposed technology can be investigated further with a view to being a viable alternative to conventional CO2 scrubbing technologies.

  16. Recovery Act: Johnston Rhode Island Combined Cycle Electric Generating Plant Fueled by Waste Landfill Gas

    SciTech Connect (OSTI)

    Galowitz, Stephen

    2013-06-30

    The primary objective of the Project was to maximize the productive use of the substantial quantities of waste landfill gas generated and collected at the Central Landfill in Johnston, Rhode Island. An extensive analysis was conducted and it was determined that utilization of the waste gas for power generation in a combustion turbine combined cycle facility was the highest and best use. The resulting project reflected a cost effective balance of the following specific sub-objectives. 1) Meet environmental and regulatory requirements, particularly the compliance obligations imposed on the landfill to collect, process and destroy landfill gas. 2) Utilize proven and reliable technology and equipment. 3) Maximize electrical efficiency. 4) Maximize electric generating capacity, consistent with the anticipated quantities of landfill gas generated and collected at the Central Landfill. 5) Maximize equipment uptime. 6) Minimize water consumption. 7) Minimize post-combustion emissions. To achieve the Project Objective the project consisted of several components. 1) The landfill gas collection system was modified and upgraded. 2) A State-of-the Art gas clean up and compression facility was constructed. 3) A high pressure pipeline was constructed to convey cleaned landfill gas from the clean-up and compression facility to the power plant. 4) A combined cycle electric generating facility was constructed consisting of combustion turbine generator sets, heat recovery steam generators and a steam turbine. 5) The voltage of the electricity produced was increased at a newly constructed transformer/substation and the electricity was delivered to the local transmission system. The Project produced a myriad of beneficial impacts. 1) The Project created 453 FTE construction and manufacturing jobs and 25 FTE permanent jobs associated with the operation and maintenance of the plant and equipment. 2) By combining state-of-the-art gas clean up systems with post combustion emissions control systems, the Project established new national standards for best available control technology (BACT). 3) The Project will annually produce 365,292 MWh?s of clean energy. 4) By destroying the methane in the landfill gas, the Project will generate CO{sub 2} equivalent reductions of 164,938 tons annually. The completed facility produces 28.3 MWnet and operates 24 hours a day, seven days a week.

  17. Life cycle assessment of base-load heat sources for district heating system options

    SciTech Connect (OSTI)

    Ghafghazi, Saeed [University of British Columbia, Vancouver; Sowlati, T. [University of British Columbia, Vancouver; Sokhansanj, Shahabaddine [ORNL; Melin, Staffan [Delta Research Corporation

    2011-03-01

    Purpose There has been an increased interest in utilizing renewable energy sources in district heating systems. District heating systems are centralized systems that provide heat for residential and commercial buildings in a community. While various renewable and conventional energy sources can be used in such systems, many stakeholders are interested in choosing the feasible option with the least environmental impacts. This paper evaluates and compares environmental burdens of alternative energy source options for the base load of a district heating center in Vancouver, British Columbia (BC) using the life cycle assessment method. The considered energy sources include natural gas, wood pellet, sewer heat, and ground heat. Methods The life cycle stages considered in the LCA model cover all stages from fuel production, fuel transmission/transportation, construction, operation, and finally demolition of the district heating system. The impact categories were analyzed based on the IMPACT 2002+ method. Results and discussion On a life-cycle basis, the global warming effect of renewable energy options were at least 200 kgeqCO2 less than that of the natural gas option per MWh of heat produced by the base load system. It was concluded that less than 25% of the upstream global warming impact associated with the wood pellet energy source option was due to transportation activities and about 50% of that was resulted from wood pellet production processes. In comparison with other energy options, the wood pellets option has higher impacts on respiratory of inorganics, terrestrial ecotoxicity, acidification, and nutrification categories. Among renewable options, the global warming impact of heat pump options in the studied case in Vancouver, BC, were lower than the wood pellet option due to BC's low carbon electricity generation profile. Ozone layer depletion and mineral extraction were the highest for the heat pump options due to extensive construction required for these options. Conclusions Natural gas utilization as the primary heat source for district heat production implies environmental complications beyond just the global warming impacts. Diffusing renewable energy sources for generating the base load district heat would reduce human toxicity, ecosystem quality degradation, global warming, and resource depletion compared to the case of natural gas. Reducing fossil fuel dependency in various stages of wood pellet production can remarkably reduce the upstream global warming impact of using wood pellets for district heat generation.

  18. Electric Power Generation from Low to Intermediate Temperature Resources

    SciTech Connect (OSTI)

    Gosnold, William D.

    2015-06-18

    This project was designed to test the concept on the Eland-Lodgepole Field near Dickinson, North Dakota in the Williston Basin. The field is in secondary-recovery water-flood and consists of 12 producing oil wells, 5 water injection wells and one disposal well. Water production at the site averages approximately 320 gallons per minute (20.2 l s-1) and the temperature is 100 ?C. Engineers at Ormat estimated power production potential with the existing resource to be approximately 350 kWh. Unfortunately, ownership of the field was transferred from Encore, Inc., to Denbury, Inc., within the first week of the project. After two years of discussion and planning, Denbury decided not to pursue this project due to complications with the site location and its proximity to Patterson Lake. Attempts to find other partners operating in the Williston Basin were unsuccessful. Consequently, we were unable to pursue the primary objective of the project. However, during negations with Denbury and subsequent time spent contacting other potential partners, we focused on objectives 2 and 3 and developed a clear understanding of the potential for co-produced production in the Williston Basin and the best practices for developing similar projects. At least nine water bearing formations with temperatures greater than 90 ?C extend over areas of several 10s of km2. The total energy contained in the rock volume of those geothermal aquifers is 283.6 EJ (1 EJ = 1018 J). The total energy contained in the water volume, determined from porosities which range from 2 percent to 8 percent, is 6.8 EJ. The aquifers grouped by 10 ?C temperature bins (Table 1) include one or more formations due to the bowl-shape structure of the basin. Table 1. Summary of energy available in geothermal aquifers in the Williston Basin Analysis of overall fluid production from active wells, units, fields and formations in North Dakota showed that few sites co-produce sufficient fluid for significant power production with ORC technology. Average co-produced water for 10,480 wells is 3.2 gallons per minute (gpm). Even excluding the tight formations, Bakken and Three Forks, average co-produced water for the remaining 3,337 is only 5 gpm. The output of the highest producing well is 184 gpm and the average of the top 100 wells is 52 gpm. Due to the depth of the oil producing formations in the Williston Basin, typically 3 km or greater, pumps are operated slowly to prevent watering out thus total fluid production is purposefully maintained at low volumes. There remain potential possibilities for development of geothermal fluids in the Williston Basin. Unitized fields in which water production from several tens of wells is collected at a single site are good possibilities for development. Water production in the unitized fields is greater than 1000 gpm is several areas. A similar possibility occurs where infill-drilling between Bakken and Three Forks horizontal wells has created areas where large volumes of geothermal fluids are available on multi-well pads and in unitized fields. Although the Bakken produces small amounts of water, the water/oil ration is typically less than 1, the oil and water mix produced at the well head can be sent through the heat exchanger on an ORC. It is estimated that several tens of MWh of power could be generated by a distributed system of ORC engines in the areas of high-density drilling in the Bakken Formation. Finally, horizontal drilling in water bearing formations is the other possibility. Several secondary recovery water-flood projects in the basin are producing water above 100 ?C at rates of 300 gpm to 850 gpm. Those systems also could produce several tens of MWh of power with ORC technology. Objective 3 of the project was highly successful. The program has produced 5 PhDs, 7 MS, and 3 BS students with theses in geothermal energy. The team has involved 7 faculty in 4 different engineering and science disciplines, ChE, EE, GE, and Geol. The team has produced 26 peer-reviewed papers and 62 presentations at professional meetings. Faculty invol

  19. COMMERCIALIZATION OF AN ATMOSPHERIC IRON-BASED CDCL PROCESS FOR POWER PRODUCTION. PHASE I: TECHNOECONOMIC ANALYSIS

    SciTech Connect (OSTI)

    Vargas, Luis

    2013-11-01

    Coal Direct Chemical Looping (CDCL) is an advanced oxy-combustion technology that has potential to enable substantial reductions in the cost and energy penalty associated with carbon dioxide (CO2) capture from coal-fired power plants. Through collaborative efforts, the Babcock & Wilcox Power Generation Group (B&W) and The Ohio State University (OSU) developed a conceptual design for a 550 MWe (net) supercritical CDCL power plant with greater than 90% CO2 capture and compression. Process simulations were completed to enable an initial assessment of its technical performance. A cost estimate was developed following DOE’s guidelines as outlined in NETL’s report “Quality Guidelines for Energy System Studies: Cost Estimation Methodology for NETL Assessments of Power Plant Performance”, (2011/1455). The cost of electricity for the CDCL plant without CO2 Transportation and Storage cost resulted in $ $102.67 per MWh, which corresponds to a 26.8 % increase in cost of electricity (COE) when compared to an air-fired pulverized-coal supercritical power plant. The cost of electricity is strongly depending on the total plant cost and cost of the oxygen carrier particles. The CDCL process could capture further potential savings by increasing the performance of the particles and reducing the plant size. During the techno-economic analysis, the team identified technology and engineering gaps that need to be closed to bring the technology to commercialization. The technology gaps were focused in five critical areas: (i) moving bed reducer reactor, (ii) fluidized bed combustor, (iii) particle riser, (iv) oxygen-carrier particle properties, and (v) process operation. The key technology gaps are related to particle performance, particle manufacturing cost, and the operation of the reducer reactor. These technology gaps are to be addressed during Phase II of project. The project team is proposing additional lab testing to be completed on the particle and a 3MWth pilot facility be built to evaluate the reducer reactor performance among other aspects of the technology. A Phase II proposal was prepared and submitted to DOE. The project team proposed a three year program in Phase II. Year 1 includes lab testing and particle development work aimed at improving the chemical and mechanical properties of the oxygen carrier particle. In parallel, B&W will design the 3MWt pilot plant. Any improvements to the particle performance discovered in year 1 that would impact the design of the pilot will be incorporated into the final design. Year 2 will focus on procurement of materials and equipment, and construction of the pilot plant. Year 3 will include, commissioning, start-up, and testing in the pilot. Phase I work was successfully completed and a design and operating philosophy for a 550 MWe commercial scale coal-direct chemical looping power plant was developed. Based on the results of the techno-economic evaluation, B&W projects that the CDCL process can achieve 96.5% CO2 capture with a

  20. Yakima Tributary Access and Habitat Program, 2002-2003 Annual Report.

    SciTech Connect (OSTI)

    Myra, D.; Ready, C.

    2003-12-01

    The Yakima Tributary Access and Habitat Program (YTAHP) was organized to restore salmonid passage to Yakima tributaries that historically supported salmonids and to improve habitat in areas where access is restored. This program intends to (a) screen unscreened diversion structures to prevent fish entrainment into artificial waterways; (b) provide for fish passage at man-made barriers, such as diversion dams, culverts, siphons and bridges; and (c) provide information and assistance to landowners interested in to contributing to the improvement of water quality, water reliability and stream habitat. The YTAHP developed from a number of groups actively engaged in watershed management, and/or habitat restoration within the Yakima River Basin. These groups include the Washington State Fish and Wildlife (WDFW), Kittitas County Conservation District (KCCD), North Yakima Conservation District (NYCD), Kittitas County Water Purveyors (KCWP), and Ahtanum Irrigation District (AID). The US Bureau of Reclamation (Reclamation) and Yakama Nation (YN) both participated in the development of the objectives of YTAHP. Other entities that will be involved during permitting or project review may include the YN, the federal Natural Resources Conservation Service (NRCS), the US Fish and Wildlife Service (USFWS), the National Marine Fisheries Service (NMFS), and US Army Corps of Engineers (COE). The objectives of YTAHP are listed below and also include subtasks detailed in the report: (1) Conduct Early Action Projects; (2) Review Strategic Plan; (3) Restore Access, including stream inventory, prioritization, implementation; and (4) Provide opportunities to improve habitat and conserve resources. The BPA YTAHP funding supported activities of the program which are described in this report. These activities are primarily related to objective 1 (conduct early action projects) and parts of objectives 2-4. The work supported by YTAHP funding will support a series of scheduled projects and be made larger by complementary funding through NRSC EQIP, Irrigation Efficiencies, WA State Salmon Recovery Funding Board and other local, state and federal programs. Projects completed FY-03: The Cooke Creek siphon and screen/bypass was completed on time and within budget. The Rosbach Farms project was completed in cooperation with the NRCS Environmental Quality Incentives Program and the KCCD's Irrigation Efficiencies Program. Tributary survey teams were trained and surveys of tributaries in Yakima and Kittitas counties commenced in December of 2002. By the end of September 2003 Cowiche Creek in Yakima County was completed as well as Coleman, Reecer, Currier, Dry, Cabin, Indian, and Jack Creeks in Kittitas County. A screen was installed on the Hernandez/Ringer diversion in cooperation with the NRCS office in Kittitas County. YTAHP submitted six applications to the Salmon Recovery Funding Board and three were selected and funded. Another Salmon Recovery Funding Board project awarded in 2000 to the Yakama Nation was transferred to the KCCD. Two miles of fencing of riparian zones on the north fork Ahtanum was completed by the North Yakima Conservation District in cooperation with the Department of Natural Resources and the Ahtanum Irrigation District and funded by US fish and Wildlife as part of YTAHP's outreach partnering. Completion of this year's effort has provided significant inroads to working on the private lands in two counties which will be vital to future efforts by YTAHP and others to protect and enhance Yakima River Basin habitat. 2003 saw the migration of the WEB site from MWH to the Kittitas County Conservation District and can be accessed at www.kccd.net.

  1. Yakima Tributary Access and Habitat Program : Action Plan Final Report 2002.

    SciTech Connect (OSTI)

    Myra, David (South Central Washington Resource Conservation and Development Council, Ellensburg, WA); Ready, Carol A. (Kittitas County Water Purveyors, Ellensburg, WA)

    2003-04-01

    This report covers activities conducted by the Yakima Tributary Access and Habitat Program under Bonneville Power Administration (BPA) grant project No. 2002-025-00 for fiscal year 2002. The Yakima Tributary Access and Habitat Program (YTAHP, Program) was organized to restore salmonid passage to Yakima tributaries that historically supported salmonids and improve habitat in areas where access is restored. Specifically, this program is designed to (a) screen unscreened diversion structures to prevent fish entrainment into artificial waterways; (b) provide for fish passage at man-made barriers, such as diversion dams, culverts, siphons and bridges; and (c) provide information and assistance to landowners interested in to contributing to the improvement of water quality, water reliability and stream habitat. The YTAHP developed from a number of groups actively engaged in watershed management, and/or habitat restoration within the Yakima River Basin. These groups include the Washington State Fish and Wildlife (WDFW), Kittitas County Conservation District (KCCD), North Yakima Conservation District (NYCD), Kittitas County Water Purveyors (KCWP), and Ahtanum Irrigation District (AID). The US Bureau of Reclamation (Reclamation) and Yakama Nation (YN) both participated in the development of the objectives of YTAHP. Other entities that will be involved during permitting or project review may include the YN, the federal Natural Resources Conservation Service (NRCS), the US Fish and Wildlife Service (USFWS), the National Marine Fisheries Service (NMFS), and US Army Corps of Engineers (COE). Achievements of YTAHP with BPA Action Plan funding during FY 2002 were to: (1) Establish contracts with RC&D and YTAHP participants. (2) Determine contract mechanism for MWH engineering services. (3) Provide engineering designs and services for 11 early action projects, including inverted siphons, pump and gravity diversion screening, diversion metering, rock weirs for improved fish passage, headgates and fishways. These designs were used to submit for project implementation funding through the WA Salmon Recovery Funding Board. (4) Complete 6 early action projects on Ahtanum Creek--One gravity diversion was replaced with a pump and pump end screen and 5 pump end screens were installed. (5) Conduct two topographic surveys--For the City of Yakima on the Fruitvale diversion for the North Yakima Conservation District to support the installation of a pumping plant which would eliminate the need to divert directly from the Naches River and build the gravel berm each year during low flows. For the Taylor Ditch system for the North Yakima Conservation District to support as feasibility of opening the ditch for habitat and at the same time maintaining irrigation deliveries. (6) Procure materials for use in future YTAHP projects, including siphon pipe, delivery pipe, rock, screens, and water meters. These materials will act as match and support the completion of these subsequent YTAHP projects. Overall, with broad agency support and Action Plan funding through BPA, the YTAHP has achieved substantial enhancements that support aquatic species and which will leverage subsequent work through engineering designs and materials. The program was also able to establish the personnel and equipment support for beginning the stream assessment process on tributaries in Yakima and Kittitas Counties. Completion of this year's effort has provided significant inroads to working on the private lands in two counties which will be vital to future efforts by YTAHP and others to protect and enhance Yakima River Basin habitat.

  2. Data Center Economizer Contamination and Humidity Study

    SciTech Connect (OSTI)

    Shehabi, Arman; Tschudi, William; Gadgil, Ashok

    2007-03-06

    Data centers require continuous air conditioning to address high internal heat loads (heat release from equipment) and maintain indoor temperatures within recommended operating levels for computers. Air economizer cycles, which bring in large amounts of outside air to cool internal loads when weather conditions are favorable, could save cooling energy. There is reluctance from many data center owners to use this common cooling technique, however, due to fear of introducing pollutants and potential loss of humidity control. Concerns about equipment failure from airborne pollutants lead to specifying as little outside air as permissible for human occupants. To investigate contamination levels, particle monitoring was conducted at 8 data centers in Northern California. Particle counters were placed at 3 to 4 different locations within and outside of each data center evaluated in this study. Humidity was also monitored at many of the sites to determine how economizers affect humidity control. Results from this study indicate that economizers do increase the outdoor concentration in data centers, but this concentration, when averaged annually, is still below current particle concentration limits. Study results are summarized below: (1) The average particle concentrations measured at each location, both outside and at the servers, are shown in Table 1. Measurements show low particle concentrations at all data centers without economizers, regardless of outdoor particle concentrations. Particle concentrations were typically an order of magnitude below both outside particle concentrations and recently published ASHRAE standards. (2) Economizer use caused sharp increases in particle concentrations when the economizer vents were open. The particle concentration in the data centers, however, quickly dropped back to pre-economizer levels when the vents closed. Since economizers only allow outside air part of the time, the annual average concentrations still met the ASHRAE standards. However, concentration were still above the levels measured in data centers that do not use economizers (3) Current filtration in data centers is minimal (ASHRAE 40%) since most air is typically recycled. When using economizers, modest improvements in filtration (ASHRAE 85%) can reduce particle concentrations to nearly match the level found in data centers that do not use economizers. The extra cost associated with improve filters was not determined in this study. (4) Humidity was consistent and within the ASHRAE recommended levels for all data centers without economizers. Results show that, while slightly less steady, humidity in data centers with economizers can also be controlled within the ASHRAE recommended levels. However, this control of humidity reduces energy savings by limiting the hours the economizer vents are open. (5) The potential energy savings from economizer use has been measured in one data center. When economizers were active, mechanical cooling power dropped by approximately 30%. Annual savings at this center is estimated within the range of 60-80 MWh/year, representing approximately a 5% savings off the mechanical energy load of the data center. Incoming temperatures and humidity at this data center were conservative relative to the ASHRAE acceptable temperature and humidity ranges. Greater savings may be available if higher temperature humidity levels in the data center area were permitted. The average particle concentrations measured at each of the eight data center locations are shown in Table 1. The data centers ranged in size from approximately 5,000 ft{sup 2} to 20,000 ft{sup 2}. The indoor concentrations and humidity in Table 1 represents measurements taken at the server rack. Temperature measurements at the server rack consistently fell between 65-70 F. The Findings section contains a discussion of the individual findings from each center. Data centers currently operate under very low contamination levels. Economizers can be expected to increase the particle concentration in data centers, but the increase appears to still be

  3. State Policies Provide Critical Support for Renewable Electricity

    SciTech Connect (OSTI)

    Barbose, Galen; Wiser, Ryan; Bolinger, Mark

    2008-07-15

    Growth in renewable energy in the U.S. over the past decade has been propelled by a number of forces, including rising fossil fuel prices, environmental concerns, and policy support at the state and federal levels. In this article, we review and discuss what are arguably the two most important types of state policies for supporting electricity generation from geothermal and other forms of renewable energy: renewables portfolio standards and utility integrated resource planning requirements. Within the Western U.S., where the vast majority of the nation's readily-accessible geothermal resource potential resides, these two types of state policies have been critical to the growth of renewable energy, and both promise to continue to play a fundamental role for the foreseeable future. In its essence, a renewables portfolio standard (RPS) requires utilities and other retail electricity suppliers to produce or purchase a minimum quantity or percentage of their generation supply from renewable resources. RPS purchase obligations generally increase over time, and retail suppliers typically must demonstrate compliance on an annual basis. Mandatory RPS policies are backed by various types of compliance enforcement mechanisms, although most states have incorporated some type of cost-containment provision, such as a cost cap or a cap on retail rate impacts, which could conceivably allow utilities to avoid (full) compliance with their RPS target. Currently, 27 states and the District of Columbia have mandatory RPS requirements. Within the eleven states of the contiguous Western U.S., all but three (Idaho, Utah, and Wyoming) now have a mandatory RPS legislation (Utah has a more-voluntary renewable energy goal), covering almost 80% of retail electricity sales in the region. Although many of these state policies have only recently been established, their impact is already evident: almost 1800 MW of new renewable capacity has been installed in Western states following the implementation of RPS policies. To date, wind energy has been the primary beneficiary of state RPS policies, representing approximately 83% of RPS-driven renewable capacity growth in the West through 2007. Geothermal energy occupies a distant second place, providing 7% of RPS-driven new renewable capacity in the West since the late 1990s, though geothermal's contribution on an energy (MWh) basis is higher. Looking to the future, a sizable quantity of renewable capacity beyond pre-RPS levels will be needed to meet state RPS mandates: about 25,000 MW by 2025 within the Western U.S. Geothermal energy is beginning to provide an increasingly significant contribution, as evidenced by the spate of new projects recently announced to meet state RPS requirements. Most of this activity has been driven by the RPS policies in California and Nevada, where the Geothermal Energy Association has identified 47 new geothermal projects, totaling more than 2,100 MW, in various stages of development. Additional geothermal projects in Arizona, New Mexico, Oregon, and Washington are also under development to meet those states RPS requirements. The other major state policy driver for renewable electricity growth, particularly in the West, is integrated resource planning (IRP). IRP was first formalized as a practice in the 1980s, but the practice was suspended in some states as electricity restructuring efforts began. A renewed interest in IRP has emerged in the past several years, however, with several Western states (California, Montana, and New Mexico) reestablishing IRP and others developing new rules to strengthen their existing processes. In its barest form, IRP simply requires that utilities periodically submit long-term resource procurement plans in which they evaluate alternative strategies for meeting their resource needs over the following ten to twenty years. However, many states have developed specific requirements for the IRP process that directly or indirectly support renewable energy. The most general of these is an explicit requirement that utilities evaluate renewables, and that

  4. Kauai Island Utility Cooperative energy storage study.

    SciTech Connect (OSTI)

    Akhil, Abbas Ali; Yamane, Mike; Murray, Aaron T.

    2009-06-01

    Sandia National Laboratories performed an assessment of the benefits of energy storage for the Kauai Island Utility Cooperative. This report documents the methodology and results of this study from a generation and production-side benefits perspective only. The KIUC energy storage study focused on the economic impact of using energy storage to shave the system peak, which reduces generator run time and consequently reduces fuel and operation and maintenance (O&M) costs. It was determined that a 16-MWh energy storage system would suit KIUC's needs, taking into account the size of the 13 individual generation units in the KIUC system and a system peak of 78 MW. The analysis shows that an energy storage system substantially reduces the run time of Units D1, D2, D3, and D5 - the four smallest and oldest diesel generators at the Port Allen generating plant. The availability of stored energy also evens the diurnal variability of the remaining generation units during the off- and on-peak periods. However, the net economic benefit is insufficient to justify a load-leveling type of energy storage system at this time. While the presence of storage helps reduce the run time of the smaller and older units, the economic dispatch changes and the largest most efficient unit in the KIUC system, the 27.5-MW steam-injected combustion turbine at Kapaia, is run for extra hours to provide the recharge energy for the storage system. The economic benefits of the storage is significantly reduced because the charging energy for the storage is derived from the same fuel source as the peak generation source it displaces. This situation would be substantially different if there were a renewable energy source available to charge the storage. Especially, if there is a wind generation resource introduced in the KIUC system, there may be a potential of capturing the load-leveling benefits as well as using the storage to dampen the dynamic instability that the wind generation could introduce into the KIUC grid. General Electric is presently conducting such a study and results of this study will be available in the near future. Another study conducted by Electric Power Systems, Inc. (EPS) in May 2006 took a broader approach to determine the causes of KIUC system outages. This study concluded that energy storage with batteries will provide stability benefits and possibly eliminate the load shedding while also providing positive voltage control. Due to the lack of fuel diversity in the KIUC generation mix, SNL recommends that KIUC continue its efforts to quantify the dynamic benefits of storage. The value of the dynamic benefits, especially as an enabler of renewable generation such as wind energy, may be far greater than the production cost benefits alone. A combination of these benefits may provide KIUC sufficient positive economic and operational benefits to implement an energy storage project that will contribute to the overall enhancement of the KIUC system.

  5. Comprehensive Renewable Energy Feasibility Study for the Makah Indian Tribe

    SciTech Connect (OSTI)

    RobertLynette; John Wade; Larry Coupe

    2005-03-31

    The purpose of this project was to determine the technical feasibility, economic viability, and potential impacts of installing and operating a wind power station and/or small hydroelectric generation plants on the Makah reservation. The long-term objective is to supply all or a portion of Tribe's electricity from local, renewable energy sources in order to reduce costs, provide local employment, and reduce power outages. An additional objective was for the Tribe to gain an understanding of the requirements, costs, and benefits of developing and operating such plants on the reservation. The Makah Indian Reservation, with a total land area of forty-seven square miles, is located on the northwestern tip of the Olympic Peninsula in Washington State. Four major watersheds drain the main Reservation areas and the average rainfall is over one hundred inches per year. The reservation's west side borders the Pacific Ocean, but mostly consists of rugged mountainous terrain between 500 and 1,900 feet in elevation. Approximately 1,200 tribal members live on the Reservation and there is an additional non-Indian residential population of about 300. Electric power is provided by the Clallam County PUD. The annual usage on the reservation is approximately 16,700 mWh. Project Work Wind Energy--Two anemometer suites of equipment were installed on the reservation and operated for a more than a year. An off-site reference station was identified and used to project long-term wind resource characteristics at the two stations. Transmission resources were identified and analyzed. A preliminary financial analysis of a hypothetical wind power station was prepared and used to gauge the economic viability of installation of a multi-megawatt wind power station. Small Hydroelectric--Two potential sites for micro/small-hydro were identified by analysis of previous water resource studies, topographical maps, and conversations with knowledgeable Makah personnel. Field trips were conducted to collect preliminary site data. A report was prepared by Alaska Power & Telephone (Larry Coupe) including preliminary layouts, capacities, potential environmental issues, and projected costs. Findings and Conclusions Wind Energy The average wind resources measured at both sites were marginal, with annual average wind speeds of 13.6-14.0 mph at a 65-meter hub height, and wind shears of 0.08-0.13. Using GE 1.5 MW wind turbines with a hub height of 65 meters, yields a net capacity factor of approximately 0.19. The cost-of-energy for a commercial project is estimated at approximately 9.6 cents per kWh using current costs for capital and equipment prices. Economic viability for a commercial wind power station would require a subsidy of 40-50% of the project capital cost, loans provided at approximately 2% rate of interest, or a combination of grants and loans at substantially below market rates. Recommendations: Because the cost-of-energy from wind power is decreasing, and because there may be small pockets of higher winds on the reservation, our recommendation is to: (1) Leave one of the two anemometer towers, preferably the 50-meter southern unit MCC, in place and continue to collect data from this site. This site would serve as an excellent reference anemometer for the Olympic Peninsula, and, (2) If funds permit, relocate the northern tower (MCB) to a promising small site closer to the transmission line with the hope of finding a more energetic site that is easier to develop. Small Hydroelectric There are a very limited number of sites on the reservation that have potential for economical hydroelectric development, even in conjunction with water supply development. Two sites emerged as the most promising and were evaluated: (1) One utilizing four creeks draining the north side of the Cape Flattery peninsula (Cape Creeks), and (2) One on the Waatch River to the south of Neah Bay. The Cape Creeks site would be a combination water supply and 512 kW power generation facility and would cost a approximately $11,100,000. Annual power generation would be approximately 1,300,0