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Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
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1

Reference Designs of 50 MW / 250 MWh Energy Storage Systems  

Science Conference Proceedings (OSTI)

Energy storage solutions for Renewable Integration and Transmission and Distribution (T&D) Grid Support often require systems of 10's of MWs in scale, and energy durations of longer than 4 hours. The goals of this study were to develop cost, performance and conceptual design information for several current and emerging alternative bulk storage systems in the scale of 50 MW / 250 MWh.

2011-12-28T23:59:59.000Z

2

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

3

Negawatts vs. Megawatts: Recovering California's Secret Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

construction of ten 500-megawatt power plants. These plants, once built, will require transmission lines and substations to deliver the power. 1. California has billions of...

4

MegaWatt Solar | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name MegaWatt Solar Place North Carolina Sector Renewable Energy, Solar Product North Carolina-based, technology-centric renewable energy company...

5

High-megawatt Electric Drive Motors  

Science Conference Proceedings (OSTI)

... Page 2. © ABB BU Machines April 10, 2009 | Slide 2 High-megawatt Electric Drive Motors ... motor concept ... A selection of compressor motors >30MW. ...

2012-10-21T23:59:59.000Z

6

Property:Com sales (mwh) | Open Energy Information  

Open Energy Info (EERE)

sales (mwh) sales (mwh) Jump to: navigation, search This is a property of type Number. Sales to commercial consumers Pages using the property "Com sales (mwh)" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April 2008 + 14,949 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August 2008 + 26,367 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December 2008 + 15,395 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2008 + 16,880 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2009 + 16,286 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2008 + 17,519 +

7

Megawatt Energy Systems | Open Energy Information  

Open Energy Info (EERE)

Megawatt Energy Systems Megawatt Energy Systems Jump to: navigation, search Name Megawatt Energy Systems Place Zionsville, Indiana Sector Renewable Energy, Services, Solar, Wind energy Phone number 317.797.3381 Website http://www.mwenergysystems.com Coordinates 39.9508733°, -86.261937° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.9508733,"lon":-86.261937,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

8

SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine  

NLE Websites -- All DOE Office Websites (Extended Search)

10-Megawatt Supercritical Carbon 10-Megawatt Supercritical Carbon Dioxide Turbine to someone by E-mail Share SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on Facebook Tweet about SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on Twitter Bookmark SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on Google Bookmark SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on Delicious Rank SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on Digg Find More places to share SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine on AddThis.com... Concentrating Solar Power Systems Components Competitive Awards CSP Research & Development Thermal Storage CSP Recovery Act Baseload CSP SunShot Multidisciplinary University Research Initiative

9

2008 High-Megawatt Power Converter Technology R&D ...  

Science Conference Proceedings (OSTI)

... 2008 High-Megawatt Power Converter Technology R&D Roadmap Workshop. NIST, Gaithersburg, MD. April 8, 2008. On ...

2013-05-30T23:59:59.000Z

10

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

E-Print Network (OSTI)

change in electricity consumption of 166,217 MWh/year. Allincrease in electricity consumption of 166,217 MWh/year alsoelectricity consumption by 166,217 megawatt hours per year (

Kotchen, Matthew J; Grant, Laura E.

2008-01-01T23:59:59.000Z

11

Property:Ind sales (mwh) | Open Energy Information  

Open Energy Info (EERE)

industrial consumers industrial consumers Pages using the property "Ind sales (mwh)" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April 2008 + 18,637 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August 2008 + 19,022 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December 2008 + 14,148 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2008 + 18,516 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2009 + 14,517 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2008 + 17,398 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2009 + 14,930 +

12

Property:Tot sales (mwh) | Open Energy Information  

Open Energy Info (EERE)

all consumers all consumers Pages using the property "Tot sales (mwh)" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April 2008 + 69,154 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August 2008 + 104,175 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December 2008 + 78,855 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2008 + 93,756 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2009 + 87,806 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2008 + 87,721 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2009 + 88,236 +

13

Property:Res sales (mwh) | Open Energy Information  

Open Energy Info (EERE)

residential consumers residential consumers Pages using the property "Res sales (mwh)" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April 2008 + 35,568 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August 2008 + 58,786 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December 2008 + 49,312 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2008 + 58,360 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February 2009 + 57,003 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2008 + 52,804 + 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January 2009 + 56,047 +

14

Property:Oth sales (mwh) | Open Energy Information  

Open Energy Info (EERE)

other consumers other consumers Pages using the property "Oth sales (mwh)" Showing 25 pages using this property. (previous 25) (next 25) C Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - April 2008 + 1,113 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - December 2008 + 1,202 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February 2008 + 536 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February 2009 + 2,187 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January 2008 + 707 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January 2009 + 1,537 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - June 2008 + 697 + Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - March 2008 + 880 +

15

Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007  

E-Print Network (OSTI)

LSE MISO M-RETS MSW MW MWh PJM POU PRC PSC PUC PV REC RPSelectric service provider PJM Generation Attributes Trackingwaste megawatt megawatt-hour PJM Interconnection publicly

Wiser, Ryan

2008-01-01T23:59:59.000Z

16

Final Environmental Impact Report: North Brawley Ten Megawatt...  

Open Energy Info (EERE)

Number NA DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal...

17

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

Open Energy Info (EERE)

per MWh or KWh for the various sources ? I suspect that the costs commonly quoted for fossil fuels and nucelar are artificially low and that these fake costs are used to 'sell'...

18

Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal  

Open Energy Info (EERE)

Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Abstract N/A Author County of Imperial Planning Department Published WESTEC SERVICES, INC., 1979 Report Number N/A DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Citation County of Imperial Planning Department. 1979. Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility. (!) : WESTEC SERVICES, INC.. Report No.: N/A. Retrieved from

19

Reference Designs of 50 MW / 250 MWh Energy Storage Systems  

Science Conference Proceedings (OSTI)

Electric utilities are interested energy storage solutions for renewable integration and transmission and distribution (TD) grid support that require systems of 10's of MWs in scale and energy durations of longer than 4 hours. Compressed air energy storage and pumped hydro systems are currently the lowest capital cost (/ kW-h) bulk storage options for energy durations longer than 10 hour; however, these storage facilities have geological and siting restrictions and require long permitting and deployment ...

2010-12-16T23:59:59.000Z

20

Megatons to Megawatts Final Shipment | National Nuclear Security...  

National Nuclear Security Administration (NNSA)

Megawatts Program, with this week's off-loading of the final shipment of low enriched uranium (LEU) at the Port of Baltimore in Baltimore, Maryland, from Russia. Facebook Twitter...

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

NREL: Wind Research - Five Megawatt Dynamometer Test Facility...  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy's National Wind Technology Center. We're here today in the new 5 megawatt drive train testing facility that has been developed over the last few years. This terrific new...

22

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

Open Energy Info (EERE)

Total Cost Per MwH for all common large scale power generation sources Total Cost Per MwH for all common large scale power generation sources Home > Groups > DOE Wind Vision Community In the US DOEnergy, are there calcuations for real cost of energy considering the negative, socialized costs of all commercial large scale power generation soruces ? I am talking about the cost of mountain top removal for coal mined that way, the trip to the power plant, the sludge pond or ash heap, the cost of the gas 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 and so on. What I am tring to get at is the 'real cost' per MWh or KWh for the various sources ? I suspect that the costs commonly quoted for fossil fuels and nucelar are

23

Mass Megawatts Wind Power Inc | Open Energy Information  

Open Energy Info (EERE)

Megawatts Wind Power Inc Megawatts Wind Power Inc Jump to: navigation, search Name Mass Megawatts Wind Power Inc Address 95 Prescott Street Place Worcester, Massachusetts Zip 01605 Sector Wind energy Product Development of low-cost, wind energy production systems Website http://www.massmegawatts.com/ Coordinates 42.2776492°, -71.7996281° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.2776492,"lon":-71.7996281,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

24

National Renewable Energy Laboratory  

E-Print Network (OSTI)

Wh kilowatt-hour LED light emitting diode MECO Maui Electric Company MWh megawatt-hour NAECA National-generation technologies, such as seawater air-conditioning (SWAC) and Light-emitting diodes (LEDs), as an addendum

25

approximately 200 megawatts (MWs) of power from TCEP, making  

NLE Websites -- All DOE Office Websites (Extended Search)

approximately 200 megawatts (MWs) of power from TCEP, making approximately 200 megawatts (MWs) of power from TCEP, making it the first U.S. purchase by a utility of low-carbon power from a commercial-scale, coal-based power plant with carbon capture. The 400-MW TCEP plant is a first-of-its-kind integrated gasification combined cycle (IGCC) poly-generation facility capable of capturing 90 percent of the carbon dioxide (CO 2 ) it produces. The $2.4-billion plant was a third round selection under DOE's Clean Coal Power Initiative

26

Property:Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal | Open Energy  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal Jump to: navigation, search This is a property of type String. Electricity, total Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1400.0 + Sweden Building 05K0002 + 686.9 + Sweden Building 05K0003 + 321.8 + Sweden Building 05K0004 + 1689.9 + Sweden Building 05K0005 + 122.6 + Sweden Building 05K0006 + 843.1 + Sweden Building 05K0007 + 1487.0 + Sweden Building 05K0008 + 315.0 + Sweden Building 05K0009 + 1963.0 + Sweden Building 05K0010 + 66.52 + Sweden Building 05K0011 + 391.0 + Sweden Building 05K0012 + 809.65 +

27

Property:Building/SPPurchasedEngyForPeriodMwhYrElctrtyTotal | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrElctrtyTotal SPPurchasedEngyForPeriodMwhYrElctrtyTotal Jump to: navigation, search This is a property of type String. Electricity, total Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrElctrtyTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1399.0 + Sweden Building 05K0002 + 686.9 + Sweden Building 05K0003 + 321.8 + Sweden Building 05K0004 + 1689.9 + Sweden Building 05K0005 + 122.6 + Sweden Building 05K0006 + 843.1 + Sweden Building 05K0007 + 1487.0 + Sweden Building 05K0008 + 315.0 + Sweden Building 05K0009 + 1963.0 + Sweden Building 05K0010 + 66.52 + Sweden Building 05K0011 + 391.0 + Sweden Building 05K0012 + 809.65 + Sweden Building 05K0013 + 1199.0 + Sweden Building 05K0014 + 227.66 +

28

Property:Building/SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler Jump to: navigation, search This is a property of type String. Oil-fired boiler Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

29

Property:Building/SPPurchasedEngyNrmlYrMwhYrTownGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrTownGas SPPurchasedEngyNrmlYrMwhYrTownGas Jump to: navigation, search This is a property of type String. Town gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrTownGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

30

Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtHeating | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDstrtHeating SPPurchasedEngyForPeriodMwhYrDstrtHeating Jump to: navigation, search This is a property of type String. District heating Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDstrtHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2067.0 + Sweden Building 05K0002 + 492.2 + Sweden Building 05K0003 + 473.4 + Sweden Building 05K0004 + 1763.0 + Sweden Building 05K0005 + 605.0 + Sweden Building 05K0006 + 1727.0 + Sweden Building 05K0007 + 1448.0 + Sweden Building 05K0008 + 844.0 + Sweden Building 05K0009 + 2176.0 + Sweden Building 05K0010 + 61.0 + Sweden Building 05K0011 + 967.0 + Sweden Building 05K0012 + 1185.0 + Sweden Building 05K0013 + 1704.0 + Sweden Building 05K0014 + 154.0 + Sweden Building 05K0015 + 145.0 +

31

Property:Building/SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas | Open  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas Jump to: navigation, search This is a property of type String. Digester / landfill gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

32

Property:Building/SPPurchasedEngyNrmlYrMwhYrDstrtColg | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDstrtColg SPPurchasedEngyNrmlYrMwhYrDstrtColg Jump to: navigation, search This is a property of type String. District cooling Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDstrtColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 762.0 + Sweden Building 05K0002 + 322.0 + Sweden Building 05K0003 + 51.9 + Sweden Building 05K0004 + 908.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 345.0 + Sweden Building 05K0007 + 450.0 + Sweden Building 05K0008 + 123.0 + Sweden Building 05K0009 + 600.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 78.0 + Sweden Building 05K0012 + 340.0 + Sweden Building 05K0013 + 420.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

33

Property:Building/SPPurchasedEngyForPeriodMwhYrTownGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrTownGas SPPurchasedEngyForPeriodMwhYrTownGas Jump to: navigation, search This is a property of type String. Town gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrTownGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

34

Property:Building/SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas | Open  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas Jump to: navigation, search This is a property of type String. Digester / landfill gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

35

Property:Building/SPPurchasedEngyForPeriodMwhYrWoodChips | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrWoodChips SPPurchasedEngyForPeriodMwhYrWoodChips Jump to: navigation, search This is a property of type String. Wood chips Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

36

Property:Building/SPPurchasedEngyNrmlYrMwhYrDstrtHeating | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDstrtHeating SPPurchasedEngyNrmlYrMwhYrDstrtHeating Jump to: navigation, search This is a property of type String. District heating Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDstrtHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2193.0 + Sweden Building 05K0002 + 521.2 + Sweden Building 05K0003 + 498.4 + Sweden Building 05K0004 + 1869.0 + Sweden Building 05K0005 + 646.0 + Sweden Building 05K0006 + 1843.0 + Sweden Building 05K0007 + 1542.0 + Sweden Building 05K0008 + 898.0 + Sweden Building 05K0009 + 2313.0 + Sweden Building 05K0010 + 65.0 + Sweden Building 05K0011 + 1032.0 + Sweden Building 05K0012 + 1256.0 + Sweden Building 05K0013 + 1817.6002445 + Sweden Building 05K0014 + 162.0 + Sweden Building 05K0015 + 158.0 +

37

Property:Building/SPPurchasedEngyNrmlYrMwhYrLogs | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrLogs SPPurchasedEngyNrmlYrMwhYrLogs Jump to: navigation, search This is a property of type String. Logs Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrLogs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

38

Property:Building/SPPurchasedEngyNrmlYrMwhYrNaturalGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrNaturalGas SPPurchasedEngyNrmlYrMwhYrNaturalGas Jump to: navigation, search This is a property of type String. Natural gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrNaturalGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

39

Property:Building/SPPurchasedEngyForPeriodMwhYrLogs | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrLogs SPPurchasedEngyForPeriodMwhYrLogs Jump to: navigation, search This is a property of type String. Logs Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrLogs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

40

Property:Building/SPPurchasedEngyNrmlYrMwhYrWoodChips | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrWoodChips SPPurchasedEngyNrmlYrMwhYrWoodChips Jump to: navigation, search This is a property of type String. Wood chips Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Property:Building/SPPurchasedEngyNrmlYrMwhYrOther | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrOther SPPurchasedEngyNrmlYrMwhYrOther Jump to: navigation, search This is a property of type String. Other Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrOther" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

42

Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtColg | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDstrtColg SPPurchasedEngyForPeriodMwhYrDstrtColg Jump to: navigation, search This is a property of type String. District cooling Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDstrtColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 762.0 + Sweden Building 05K0002 + 322.0 + Sweden Building 05K0003 + 51.9 + Sweden Building 05K0004 + 908.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 345.0 + Sweden Building 05K0007 + 450.0 + Sweden Building 05K0008 + 123.0 + Sweden Building 05K0009 + 600.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 78.0 + Sweden Building 05K0012 + 340.0 + Sweden Building 05K0013 + 420.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

43

Property:Building/SPPurchasedEngyForPeriodMwhYrPellets | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrPellets SPPurchasedEngyForPeriodMwhYrPellets Jump to: navigation, search This is a property of type String. Pellets Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrPellets" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

44

Property:Building/SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler | Open  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler Jump to: navigation, search This is a property of type String. Oil-fired boiler Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

45

Property:Building/SPPurchasedEngyForPeriodMwhYrOther | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrOther SPPurchasedEngyForPeriodMwhYrOther Jump to: navigation, search This is a property of type String. Other Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrOther" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

46

Property:Building/SPPurchasedEngyNrmlYrMwhYrTotal | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrTotal SPPurchasedEngyNrmlYrMwhYrTotal Jump to: navigation, search This is a property of type String. Total Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4355.0 + Sweden Building 05K0002 + 1530.1 + Sweden Building 05K0003 + 872.1 + Sweden Building 05K0004 + 4466.9 + Sweden Building 05K0005 + 768.6 + Sweden Building 05K0006 + 3031.1 + Sweden Building 05K0007 + 3479.0 + Sweden Building 05K0008 + 1336.0 + Sweden Building 05K0009 + 4876.0 + Sweden Building 05K0010 + 131.52 + Sweden Building 05K0011 + 1501.0 + Sweden Building 05K0012 + 2405.65 + Sweden Building 05K0013 + 3436.6002445 + Sweden Building 05K0014 + 389.66 + Sweden Building 05K0015 + 270.0 +

47

Property:Building/SPPurchasedEngyNrmlYrMwhYrPellets | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrPellets SPPurchasedEngyNrmlYrMwhYrPellets Jump to: navigation, search This is a property of type String. Pellets Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrPellets" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

48

Property:Building/SPPurchasedEngyForPeriodMwhYrTotal | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrTotal SPPurchasedEngyForPeriodMwhYrTotal Jump to: navigation, search This is a property of type String. Total Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4228.0 + Sweden Building 05K0002 + 1501.1 + Sweden Building 05K0003 + 847.1 + Sweden Building 05K0004 + 4360.9 + Sweden Building 05K0005 + 727.6 + Sweden Building 05K0006 + 2915.1 + Sweden Building 05K0007 + 3385.0 + Sweden Building 05K0008 + 1282.0 + Sweden Building 05K0009 + 4739.0 + Sweden Building 05K0010 + 127.52 + Sweden Building 05K0011 + 1436.0 + Sweden Building 05K0012 + 2334.65 + Sweden Building 05K0013 + 3323.0 + Sweden Building 05K0014 + 381.66 + Sweden Building 05K0015 + 257.0 +

49

Property:Building/SPPurchasedEngyForPeriodMwhYrNaturalGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrNaturalGas SPPurchasedEngyForPeriodMwhYrNaturalGas Jump to: navigation, search This is a property of type String. Natural gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrNaturalGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

50

Megawatts vs. Negawatts: how a little can do a lot  

Science Conference Proceedings (OSTI)

In some quarters there is increased emphasis on overall reduction of energy usage from customers. One indication of the growing significance of negawatts is apparent at PJM Interconnection, where customers are encouraged to bid negative load into the wholesale market in direct competition with megawatts. This negative load, while not large in absolute terms relative to the 164 GW size of the PJM market, is nevertheless critical in introducing an element of price elasticity into what would otherwise be a virtually inelastic demand.

NONE

2008-11-15T23:59:59.000Z

51

Fuel Mix and Emissions Disclosure  

Energy.gov (U.S. Department of Energy (DOE))

Iowa adopted regulations in 2003 that generally require rate-regulated electric utilities to disclose to customers the fuel mix and estimated emissions, in pounds per megawatt-hour (MWh), of...

52

TEAM Initiative Renewabloe Energy Projects Take Shape  

NLE Websites -- All DOE Office Websites (Extended Search)

an estimated 1,200 megawatt-hours (MWh) of clean, renewable electric power annually from solar energy. It is expected to be completed by Fall 2008. Phase 2 projects include a 1.1...

53

Desktop megawatt superradiant free-electron laser at terahertz frequencies  

SciTech Connect

I present a theoretical and simulation study of a desktop, megawatt (MW), terahertz (THz) superradiance free-electron laser (FEL) driven by a THz-pulse-train photoinjector. With nominal electron parameters from a THz-pulse-train photoinjector, this superradiant FEL is capable of generating more than 5 MW power at THz frequencies from a half-meter, single-pass undulator. Tapering the undulator to a length of 1.5 m can further increase the FEL output power to nearly 15 MW.

Huang, Y.-C. [Department of Electrical Engineering, National Tsinghua University, Hsinchu 30013, Taiwan (China)

2010-06-07T23:59:59.000Z

54

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

55

NERSC Edison Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

56

DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

to Develop Multi-Megawatt Offshore Wind Turbine with General to Develop Multi-Megawatt Offshore Wind Turbine with General Electric DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric March 9, 2006 - 11:44am Addthis Contract Valued at $27 million, supports President Bush's Advanced Energy Initiative WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) in Golden, Colorado, has signed a $27 million, multi-year contract with the General Electric Company (GE) to develop a new offshore wind power system over the next several years. Approximately $8 million of the offshore wind project will be cost-shared by DOE. "Offshore wind technology, another aspect of President Bush's Advanced Energy Initiative, can reduce our dependence on foreign energy sources as

57

Berkeley Lab Facilitates 18.6-megawatt PV facility at Army's Fort  

NLE Websites -- All DOE Office Websites (Extended Search)

Berkeley Lab Facilitates 18.6-megawatt PV facility at Army's Fort Berkeley Lab Facilitates 18.6-megawatt PV facility at Army's Fort Detrick, Maryland December 2013 The Army, on Friday November 29, announced a notice of intent to award a contract to build an 18.6-megawatt solar photovoltaic (PV) facility at Fort Detrick, in Frederick, Maryland. This action will help the service meet its goal of deploying one gigawatt of renewable energy by 2025. The selected contractor is Framingham, Mass.-based Ameresco. Lawrence Berkeley National Laboratory (Berkeley Lab), through its Environmental Energy Technologies Division, provided essential technical services, over a span of two years, to make this project happen. Supported by the Federal Energy Management Program, Berkeley Lab renewable power expert Gerald Robinson provided the Army, Fort Detrick staff, its Energy

58

1 MW / 7.2 MWh NaS Battery Demonstration and Case Study Update  

Science Conference Proceedings (OSTI)

The New York Power Authority (NYPA), working together with the Metropolitan Transit Authority Long Island Bus (LIB) Company, has installed an advanced sodium sulfur battery energy storage system (NaS BESS) at the LIB facility located at 700 Commercial Avenue, Garden City, New York. The BESS is capable of providing a nominal 1MW of power to the bus fueling compressor station for 6-8 hours per day, 7 days per week.

2009-12-18T23:59:59.000Z

59

Transmission of Megawatt Relativistic Electron Beams Through Millimeter Apertures  

E-Print Network (OSTI)

High power, relativistic electron beams from energy recovery linacs have great potential to realize new experimental paradigms for pioneering innovation in fundamental and applied research. A major design consideration for this new generation of experimental capabilities is the understanding of the halo associated with these bright, intense beams. In this Letter, we report on measurements performed using the 100 MeV, 430 kWatt CW electron beam from the energy recovery linac at the Jefferson Laboratory's Free Electron Laser facility as it traversed a set of small apertures in a 127 mm long aluminum block. Thermal measurements of the block together with neutron measurements near the beam-target interaction point yielded a consistent understanding of the beam losses. These were determined to be 3 ppm through a 2 mm diameter aperture and were maintained during a 7 hour continuous run.

R. Alarcon; S. Balascuta; S. V. Benson; W. Bertozzi; J. R. Boyce; R. Cowan; D. Douglas; P. Evtushenko; P. Fisher; E. Ihloff; N. Kalantarians; A. Kelleher; R. Legg; R. G. Milner; G. R. Neil; L. Ou; B. Schmookler; C. Tennant; C. Tschalaer; G. P. Williams; S. Zhang

2013-05-01T23:59:59.000Z

60

Reference design of 100 MW-h lithium/iron sulfide battery system for utility load leveling  

SciTech Connect

The first year in a two-year cooperative effort between Argonne National Laboratory and Rockwell International to develop a conceptual design of a lithium alloy/iron sulfide battery for utility load leveling is presented. A conceptual design was developed for a 100 MW-h battery system based upon a parallel-series arrangement of 2.5 kW-h capacity cells. The sales price of such a battery system was estimated to be very high, $80.25/kW-h, exclusive of the cost of the individual cells, the dc-to-ac converters, site preparation, or land acquisition costs. Consequently, the second year's efforts were directed towards developing modified designs with significantly lower potential costs.

Zivi, S.M.; Kacinskas, H.; Pollack, I.; Chilenskas, A.A.; Barney, D.L.; Grieve, W.; McFarland, B.L.; Sudar, S.; Goldstein, E.; Adler, E.

1980-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

62

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

63

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

64

NERSC Franklin Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

65

Management of the ten-megawatt solar-thermal central-receiver pilot-plant project  

DOE Green Energy (OSTI)

This report deals with inspection (between April and May 1979) of the Ten-Megawatt Solar-Thermal Central-Receiver Pilot-Plant Project being constructed in Barstow, California by the Department of Energy (DOE) and a utility consortium. At the time of inspection the project was behind schedule and over its projected cost. The project was subsequently rescheduled for initial operation by June 1982 at an estimated cost of $139.5 million. Recommendations are included relative to: better utilization of DOE resources; modified date for initial operation; and initiation of independent management audits. Comments to the draft report are appended. (PSB)

Not Available

1980-06-20T23:59:59.000Z

66

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

67

NERSC Carver Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

68

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

69

Developing and Financing Renewable Energy Projects in Indian Country  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presenter: Presenter: Robert Springer, National Renewable Energy Laboratory (NREL) RES2012 CONFERENCE LAS VEGAS, NEVADA MARCH 1, 2012 Context Technically, Indian lands have enough renewable energy resource to produce:  1 billion megawatt-hours (MWh) of wind (about 148,000 homes)  7 billion MWh of solar photovoltaics (PV)  4 trillion MWh of biomass There are a number of barriers constraining this potential including: * Infrastructure and transmission; * Project development capacity; * Project financing options; * Permitting barriers; * Expertise; * Other Project Development & Finance Project Development & Project Finance Finance? "and then" Finance Or? Hey that doesn't make sense!

70

Slide 1  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presenters: Presenters: Samuel Booth, NREL Matthew Ferguson, Reznick Group TRIBAL LEADER FORUM EXPLORING THE BUSINESS LINK OPPORTUNITY: TRANSMISSION & CLEAN ENERGY DEVELOPMENT IN THE WEST DENVER, COLORADO FEBRUARY 7-8, 2012 Presentation Overview * Context & Objective * Overview of Renewable Energy: - Project Development - Project Financing * Questions Context Indian lands have enough renewable energy resource to produce:  1.3 million megawatt- hours (MWh) of wind (about 148,000 homes)  9.2 million MWh of solar photovoltaics (PV)  4 million MWh of biomass There are a number of barriers constraining this potential including: * Infrastructure & transmission; * Project development capacity; * Project financing options;

71

Conceptual design of electrical balance of plant for advanced battery energy storage facility. Annual report, March 1979. [20-MW, 100 MWh  

SciTech Connect

Large-scale efforts are in progress to develop advanced batteries for utility energy storage systems. Realization of the full benefits available from those systems requires development, not only of the batteries themselves, but also the ac/dc power converter, the bulk power interconnecting equipment, and the peripheral electric balance of plant equipment that integrate the battery/converter into a properly controlled and protected energy system. This study addresses these overall system aspects; although tailored to a 20-MW, 100-MWh lithium/sulfide battery system, the technology and concepts are applicable to any battery energy storage system. 42 figures, 14 tables. (RWR)

1980-01-01T23:59:59.000Z

72

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

73

A Multi Megawatt Cyclotron Complex to Search for CP Violation in the Neutrino Sector  

E-Print Network (OSTI)

A Multi Megawatt Cyclotron complex able to accelerate H2+ to 800 MeV/amu is under study. It consists of an injector cyclotron able to accelerate the injected beam up to 50 MeV/n and of a booster ring made of 8 magnetic sectors and 8 RF cavities. The magnetic field and the forces on the superconducting coils are evaluated using the 3-D code OPERA. The injection and extraction trajectories are evaluated using the well tested codes developed by the MSU group in the '80s. The advantages to accelerate H2+ are described and preliminary evaluations on the feasibility and expected problems to build the injector cyclotron and the ring booster are here presented.

L. Calabretta; M. Maggiore; L. A. C. Piazza; D. Rifuggiato; A. Calanna

2010-10-07T23:59:59.000Z

74

Economic Development Impacts of Colorado's First 1,000 Megawatts of Wind Energy  

DOE Green Energy (OSTI)

This fact sheet summarizes the findings of a report authored by Sandra Reategui and Suzanne Tegen of the National Renewable Energy Laboratory (NREL). A confluence of events ignited soaring growth in the number of Colorado?s wind power installations in recent years, from 291 megawatts (MW) of nameplate capacity in 2006 to 1,067 MW (nameplate capacity) in 2007. Analyzing the economic impact of Colorado?s first 1,000 MW of wind energy development not only provides a summary of benefits now enjoyed by the state?s population, but it also provides a sense of the economic development opportunities associated with other new wind project scenarios, including the U.S. Department of Energy?s 20% Wind Energy by 2030 scenario. The analysis can be used by interested parties in other states as an example of the potential economic impacts if they were to adopt 1,000 MW of wind power development.

Not Available

2009-01-01T23:59:59.000Z

75

Narrow linewidth picosecond pulsed laser with mega-watt peak power at UV wavelength  

Science Conference Proceedings (OSTI)

We demonstrate a master oscillator power amplifier (MOPA) burst mode laser system to generate 66 ps/402.5 MHz pulses with mega-watt peak power at 355 nm. The seed laser is based on a direct electro-optic modulation of a fiber laser output. A very high extinction ratio (45 dB) has been achieved by using an adaptive bias control. The multi-stage Nd:YAG amplifier system allows a uniformly temporal shaping of macropulses with tunable pulse duration. The light output form the amplifier is converted to 355 nm and over 1 MW UV peak power is obtained when the laser is operating in a 5- s/10-Hz macropulse mode. The laser output has a transform limited spectrum bandwidth with a very narrow linewidth of individual laser mode. The immediate application of the laser system is the laser assisted hydrogen ion beam stripping for the Spallation Neutron Source (SNS).

Liu, Yun [ORNL; Huang, Chunning [ORNL; Deibele, Craig Edmond [ORNL

2013-01-01T23:59:59.000Z

76

Project X - a new multi-megawatt proton source at Fermilab  

SciTech Connect

Project X is a multi-megawatt proton facility being developed to support intensity frontier research in elementary particle physics, with possible applications to nuclear physics and nuclear energy research, at Fermilab. The centerpiece of this program is a superconducting H-linac that will support world leading programs in long baseline neutrino experimentation and the study of rare processes. Based on technology shared with the International Linear Collider (ILC), Project X will provide multi-MW beams at 60-120 GeV from the Main Injector, simultaneous with very high intensity beams at lower energies. Project X will also support development of a Muon Collider as a future facility at the energy frontier.

Nagaitsev, S.; /Fermilab

2011-03-01T23:59:59.000Z

77

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

78

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

79

Comparative Assessment of Direct Drive High Temperature Superconducting Generators in Multi-Megawatt Class Wind Turbines  

DOE Green Energy (OSTI)

This paper summarizes the work completed under the CRADA between NREL and American Superconductor (AMSC). The CRADA combined NREL and AMSC resources to benchmark high temperature superconducting direct drive (HTSDD) generator technology by integrating the technologies into a conceptual wind turbine design, and comparing the design to geared drive and permanent magnet direct drive (PMDD) wind turbine configurations. Analysis was accomplished by upgrading the NREL Wind Turbine Design Cost and Scaling Model to represent geared and PMDD turbines at machine ratings up to 10 MW and then comparing cost and mass figures of AMSC's HTSDD wind turbine designs to theoretical geared and PMDD turbine designs at 3.1, 6, and 10 MW sizes. Based on the cost and performance data supplied by AMSC, HTSDD technology has good potential to compete successfully as an alternative technology to PMDD and geared technology turbines in the multi megawatt classes. In addition, data suggests the economics of HTSDD turbines improve with increasing size, although several uncertainties remain for all machines in the 6 to 10 MW class.

Maples, B.; Hand, M.; Musial, W.

2010-10-01T23:59:59.000Z

80

Comparative Assessment of Direct Drive High Temperature Superconducting Generators in Multi-Megawatt Class Wind Turbines  

SciTech Connect

This paper summarizes the work completed under the CRADA between NREL and American Superconductor (AMSC). The CRADA combined NREL and AMSC resources to benchmark high temperature superconducting direct drive (HTSDD) generator technology by integrating the technologies into a conceptual wind turbine design, and comparing the design to geared drive and permanent magnet direct drive (PMDD) wind turbine configurations. Analysis was accomplished by upgrading the NREL Wind Turbine Design Cost and Scaling Model to represent geared and PMDD turbines at machine ratings up to 10 MW and then comparing cost and mass figures of AMSC's HTSDD wind turbine designs to theoretical geared and PMDD turbine designs at 3.1, 6, and 10 MW sizes. Based on the cost and performance data supplied by AMSC, HTSDD technology has good potential to compete successfully as an alternative technology to PMDD and geared technology turbines in the multi megawatt classes. In addition, data suggests the economics of HTSDD turbines improve with increasing size, although several uncertainties remain for all machines in the 6 to 10 MW class.

Maples, B.; Hand, M.; Musial, W.

2010-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

A Conceptual Multi-Megawatt System Based on a Tungsten CERMET Reactor  

Science Conference Proceedings (OSTI)

Abstract. A conceptual reactor system to support Multi-Megawatt Nuclear Electric Propulsion is investigated within this paper. The reactor system consists of a helium cooled Tungsten-UN fission core, surrounded by a beryllium neutron reflector and 13 B4C control drums coupled to a high temperature Brayton power conversion system. Excess heat is rejected via carbon reinforced heat pipe radiators and the gamma and neutron flux is attenuated via segmented shielding consisting of lithium hydride and tungsten layers. Turbine inlet temperatures ranging from 1300 K to 1500 K are investigated for their effects on specific powers and net electrical outputs ranging from 1 MW to 100 MW. The reactor system is estimated to have a mass, which ranges from 15 Mt at 1 MWe and a turbine inlet temperature of 1500 K to 1200 Mt at 100 MWe and a turbine temperature of 1300 K. The reactor systems specific mass ranges from 32 kg/kWe at a turbine inlet temperature of 1300 K and a power of 1 MWe to 9.5 kg/kW at a turbine temperature of 1500 K and a power of 100 MWe.

Jonathan A. Webb; Brian Gross

2011-02-01T23:59:59.000Z

82

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

83

Robust Controller Design for Simultaneous Control of Throttle Pressure and Megawatt Output in a Power Plant Unit  

Science Conference Proceedings (OSTI)

Recently proposed (( and (-synthesis controller design methodologies permit the design of high-performance control systems for plants that are difficult to model accurately. The work summarized in this report assesses the benefits of the (( and (-synthesis controllers for the simultaneous control of throttle pressure and megawatt output in a power plant unit, while also serving to clarify the (( and (-synthesis design methods by an example.

1999-02-25T23:59:59.000Z

84

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

85

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

86

Bradbury Science Museum announces winter opening hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

87

Property:PotentialOnshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindGeneration PotentialOnshoreWindGeneration Jump to: navigation, search Property Name PotentialOnshoreWindGeneration Property Type Quantity Description The area of potential onshore wind in a place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOnshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

88

Property:PotentialRooftopPVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRooftopPVGeneration PotentialRooftopPVGeneration Jump to: navigation, search Property Name PotentialRooftopPVGeneration Property Type Quantity Description The estimated potential energy generation from Rooftop PV for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRooftopPVGeneration" Showing 25 pages using this property. (previous 25) (next 25)

89

Property:PotentialOffshoreWindGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindGeneration PotentialOffshoreWindGeneration Jump to: navigation, search Property Name PotentialOffshoreWindGeneration Property Type Quantity Description The estimated potential energy generation from Offshore Wind for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialOffshoreWindGeneration" Showing 25 pages using this property. (previous 25) (next 25)

90

Property:PotentialCSPGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialCSPGeneration PotentialCSPGeneration Jump to: navigation, search Property Name PotentialCSPGeneration Property Type Quantity Description The estimated potential energy generation from CSP for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialCSPGeneration" Showing 25 pages using this property. (previous 25) (next 25)

91

Property:PotentialBiopowerSolidGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidGeneration PotentialBiopowerSolidGeneration Jump to: navigation, search Property Name PotentialBiopowerSolidGeneration Property Type Quantity Description The estimated potential energy generation from solid biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerSolidGeneration" Showing 25 pages using this property. (previous 25) (next 25)

92

Property:PotentialHydropowerGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerGeneration PotentialHydropowerGeneration Jump to: navigation, search Property Name PotentialHydropowerGeneration Property Type Quantity Description The estimated potential energy generation from Hydropower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialHydropowerGeneration" Showing 25 pages using this property. (previous 25) (next 25)

93

Property:PotentialGeothermalHydrothermalGeneration | Open Energy  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalGeneration PotentialGeothermalHydrothermalGeneration Jump to: navigation, search Property Name PotentialGeothermalHydrothermalGeneration Property Type Quantity Description The estimated potential energy generation from Geothermal Hydrothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialGeothermalHydrothermalGeneration"

94

Property:PotentialRuralUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialRuralUtilityScalePVGeneration PotentialRuralUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialRuralUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in rural areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialRuralUtilityScalePVGeneration"

95

Property:PotentialUrbanUtilityScalePVGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialUrbanUtilityScalePVGeneration PotentialUrbanUtilityScalePVGeneration Jump to: navigation, search Property Name PotentialUrbanUtilityScalePVGeneration Property Type Quantity Description The estimated potential energy generation from utility-scale PV in urban areas of a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialUrbanUtilityScalePVGeneration"

96

Property:PotentialEGSGeothermalGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalGeneration PotentialEGSGeothermalGeneration Jump to: navigation, search Property Name PotentialEGSGeothermalGeneration Property Type Quantity Description The estimated potential energy generation from EGS Geothermal for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialEGSGeothermalGeneration" Showing 25 pages using this property. (previous 25) (next 25)

97

Property:PotentialBiopowerGaseousGeneration | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousGeneration PotentialBiopowerGaseousGeneration Jump to: navigation, search Property Name PotentialBiopowerGaseousGeneration Property Type Quantity Description The estimated potential energy generation from gaseous biopower for a particular place. Use this type to express a quantity of energy. The default unit for energy on OpenEI is the Kilowatt hour (kWh), which is 3,600,000 Joules. http://en.wikipedia.org/wiki/Unit_of_energy It's possible types are Watt hours - 1000 Wh, Watt hour, Watthour Kilowatt hours - 1 kWh, Kilowatt hour, Kilowatthour Megawatt hours - 0.001 MWh, Megawatt hour, Megawatthour Gigawatt hours - 0.000001 GWh, Gigawatt hour, Gigawatthour Joules - 3600000 J, Joules, joules Pages using the property "PotentialBiopowerGaseousGeneration" Showing 25 pages using this property. (previous 25) (next 25)

98

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

99

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

100

NERSC Edison Phase I Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

102

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

103

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

NLE Websites -- All DOE Office Websites (Extended Search)

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

104

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

105

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

106

Table 11.6 Installed Nameplate Capacity of Fossil-Fuel Steam-Electric Generators With Environmental Equipment, 1985-2010 (Megawatts)  

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

Installed Nameplate Capacity of Fossil-Fuel Steam-Electric Generators With Environmental Equipment," Installed Nameplate Capacity of Fossil-Fuel Steam-Electric Generators With Environmental Equipment," " 1985-2010 (Megawatts)" "Year","Coal",,,,"Petroleum and Natural Gas",,,,"Total 1" ,,,"Flue Gas","Total 2",,,"Flue Gas","Total 2",,,"Flue Gas","Total 2" ,"Particulate","Cooling","Desulfurization",,"Particulate","Cooling","Desulfurization",,"Particulate","Cooling","Desulfurization" ,"Collectors","Towers","(Scrubbers)",,"Collectors","Towers","(Scrubbers)",,"Collectors","Towers","(Scrubbers)"

107

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

108

Cleaning Up Four Megawatts  

Science Conference Proceedings (OSTI)

A utility asked the Electric Power Research Institute (EPRI) to conduct an energy assessment of a manufacturer of cleaning products in their service area. Working with facility personnel and the utility, the EPRI energy audit team endeavored to understand energy usage in the facility and to identify areas where energy could be saved. The energy audit occurred in a facility located in the U.S. Midwest during the summer season. It was an older facility and was, for the most part, not air-conditioned. The a...

2012-04-09T23:59:59.000Z

109

BNL | Center for Functional Nanomaterials Hours of Operation  

NLE Websites -- All DOE Office Websites (Extended Search)

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

110

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

111

Multi-Megawatt Organic Rankine Engine power plant (MORE). Phase IA final report: system design of MORE power plant for industrial energy conservation emphasizing the cement industry  

SciTech Connect

The Multi-Megawatt Organic Rankine Engine (MORE) program is directed towards the development of a large, organic Rankine power plant for energy conservation from moderate temperature industrial heat streams. Organic Rankine power plants are ideally suited for use with heat sources in the temperature range below 1100/sup 0/F. Cement manufacture was selected as the prototype industry for the MORE system because of the range of parameters which can be tested in a cement application. This includes process exit temperatures of 650/sup 0/F to 1110/sup 0/F for suspension preheater and long dry kilns, severe dust loading, multi-megawatt power generation potential, and boiler exhaust gas acid dew point variations. The work performed during the Phase IA System Design contract period is described. The System Design task defines the complete MORE system and its installation to the level necessary to obtain detailed performance maps, equipment specifications, planning of supporting experiments, and credible construction and hardware cost estimates. The MORE power plant design is based upon installation in the Black Mountain Quarry Cement Plant near Victorville, California.

Bair, E.K.; Breindel, B.; Collamore, F.N.; Hodgson, J.N.; Olson, G.K.

1980-01-31T23:59:59.000Z

112

Hospital Triage in First Hours After Nuclear or Radiological...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

113

Delayed Start or Cancellation of Business Hours | Argonne National...  

NLE Websites -- All DOE Office Websites (Extended Search)

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

114

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

115

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

116

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

117

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 1953–2002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

118

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. government–sponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

119

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

120

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

122

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

123

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the Ångstrom–Black linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

124

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

125

An Hourly Assimilation–Forecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysis–forecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezsö Dévényi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

126

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

127

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

hourly average CAISO real time prices (for 2006) on the pathin these prices. Average Real Time Price ($/MWh) Hour

Phadke, Amol

2008-01-01T23:59:59.000Z

128

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

129

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

130

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

131

untitled  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

BREA POWER II, LLC'S BREA POWER II, LLC'S OLINDA COMBINED CYCLE ELECTRIC GENERATING PLANT FUELED BY WASTE LANDFILL GAS, BREA, CALIFORNIA U.S. Department of Energy National Energy Technology Laboratory October 2010 DOE/EA-1744 ACRONYMS AND ABBREVIATIONS CEQA California Environmental Quality Act CFR Code of Federal Regulations CHP combined heat and power CO carbon monoxide dBA A-weighted decibel DOE U.S. Department of Energy (also called the Department) EA environmental assessment EPA U.S. Environmental Protection Agency kWh kilowatt-hour mmscfd million standard cubic feet of landfill gas per day MW megawatt MWh megawatt-hour NAAQS National Ambient Air Quality Standards NEPA National Environmental Policy Act, as amended NO 2 nitrogen dioxide

132

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

133

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

134

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

135

Suppression of spurious mode oscillation in mega-watt 77-GHz gyrotron as a high quality probe beam source for the collective Thomson scattering in LHD  

Science Conference Proceedings (OSTI)

Collective Thomson scattering (CTS) diagnostic requires a strong probing beam to diagnose a bulk and fast ion distribution function in fusion plasmas. A mega-watt gyrotron for electron cyclotron resonance heating is used as a probing beam in the large helical device. Spurious mode oscillations are often observed during the turning on/off phase of the modulation. The frequency spectra of the 77-GHz gyrotron output power have been measured, and then one of the spurious modes, which interferes with the CTS receiver system, is identified as the TE{sub 17,6} mode at the frequency of 74.7 GHz. The mode competition calculation indicates that the increase of the magnetic field strength at the gyrotron resonator can avoid such a spurious mode and excite only the main TE{sub 18,6} mode. The spurious radiation at the 74.7 GHz is experimentally demonstrated to be suppressed in the stronger magnetic field than that optimized for the high-power operation.

Ogasawara, S. [Department of Energy Engineering and Science, Nagoya University, Nagoya 464-8463 (Japan); Kubo, S. [Department of Energy Engineering and Science, Nagoya University, Nagoya 464-8463 (Japan); National Institute for Fusion Science, 322-6 Oroshi-cho, Toki-shi 509-5292 (Japan); Nishiura, M.; Tanaka, K.; Shimozuma, T.; Yoshimura, Y.; Igami, H.; Takahashi, H.; Ito, S.; Takita, Y.; Kobayashi, S.; Mizuno, Y.; Okada, K. [National Institute for Fusion Science, 322-6 Oroshi-cho, Toki-shi 509-5292 (Japan); Tatematsu, Y.; Saito, T. [Research Center for Development of Far-Infrared Region, University of Fukui, Fukui 910-8507 (Japan); Minami, R.; Kariya, T.; Imai, T. [Plasma Research Center, University of Tsukuba, Tsukuba 305-8577 (Japan)

2012-10-15T23:59:59.000Z

136

Lessons from Iowa : development of a 270 megawatt compressed air energy storage project in midwest Independent System Operator : a study for the DOE Energy Storage Systems Program.  

DOE Green Energy (OSTI)

The Iowa Stored Energy Park was an innovative, 270 Megawatt, $400 million compressed air energy storage (CAES) project proposed for in-service near Des Moines, Iowa, in 2015. After eight years in development the project was terminated because of site geological limitations. However, much was learned in the development process regarding what it takes to do a utility-scale, bulk energy storage facility and coordinate it with regional renewable wind energy resources in an Independent System Operator (ISO) marketplace. Lessons include the costs and long-term economics of a CAES facility compared to conventional natural gas-fired generation alternatives; market, legislative, and contract issues related to enabling energy storage in an ISO market; the importance of due diligence in project management; and community relations and marketing for siting of large energy projects. Although many of the lessons relate to CAES applications in particular, most of the lessons learned are independent of site location or geology, or even the particular energy storage technology involved.

Holst, Kent (Iowa Stored Energy Plant Agency, Traer, IA); Huff, Georgianne; Schulte, Robert H. (Schulte Associates LLC, Northfield, MN); Critelli, Nicholas (Critelli Law Office PC, Des Moines, IA)

2012-01-01T23:59:59.000Z

137

Natural Gas - U.S. Energy Information Administration (EIA) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

0, 2013 | Release Date: March 21, 0, 2013 | Release Date: March 21, 2013 | Next Release: March 28, 2013 Previous Issues Week: 12/22/2013 (View Archive) JUMP TO: In The News | Overview | Prices/Demand/Supply | Storage In the News: In the News: Average price spread of natural gas delivered to the power sector over coal declined by over three-quarters in 2012, while ratio of net natural gas power generation to coal rose by 39 percent. The average price of natural gas delivered in the United States to electric power generators decreased to $28.16 per megawatt hour (MWh) in 2012, 28 percent below the average for 2011, according to data from the U.S. Energy Information Administration's (EIA) Electric Power Monthly. This reflects a spread of $3.22 per MWh over the average annual price of coal delivered

138

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

139

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

140

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

Abstract—Molecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

142

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

143

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

144

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

145

Notices  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

72 Federal Register 72 Federal Register / Vol. 76, No. 112 / Friday, June 10, 2011 / Notices module would contain 2 generating units with a total combined capacity of 2.2 megawatts (MW); (5) a new switchyard containing a transformer; (6) a proposed 300-feet-long, 13-kilovolt (kV) transmission line to an existing distribution line. The proposed project would have an average annual generation of 10.6 megawatt-hours (MWh), which would be sold to a local utility. Applicant Contact: Mr. Wayne Krouse, Hydro Green Energy LLC, 5090 Richmond Avenue #390, Houston, TX 77056; phone (877) 556-6566 x709. FERC Contact: Michael Spencer, (202) 502-6093. Deadline for filing comments, motions to intervene, competing applications (without notices of intent), or notices of intent to file competing applications: 60

146

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

147

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

148

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

149

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

150

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

151

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

152

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

153

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

154

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

155

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

156

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

157

Energy Department Announces New Technical Assistance for Tribal...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

receive technical assistance to help deploy a planned three megawatt solar utility project to generate an estimated 5,000 megawatt hours of electricity to power the Tribe's...

158

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

159

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

160

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Question of the Week: How Are You Observing Earth Hour? | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

162

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

163

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

164

Analysis of the tradeoff between irrigated agriculure and hydroelectric power in the Pacific Northwest. [Base-line estimate of the effects of agricultural irrigation on the hydroelectric power generating potential projected for the year 2020  

DOE Green Energy (OSTI)

Hydrogeneration and irrigated agriculture are major competing users of the waters of the Columbia River and its tributaries. Irrigated agriculture requires the diversion of large amounts of water from the rivers, only part of which returns. As a result, streamflow is reduced and the generation potential of dams located downstream from points of irrigation diversion is reduced. In addition, irrigated agriculture involves the direct consumption of electricity to pump irrigation water and to apply it to crops in the field. The purpose of this report is to make a baseline estimate of the impact on the electrical generation system in the region of the level of irrigation development projected for year 2020 by the states of Oregon, Washington, and Idaho. This baseline estimate reflects the assumption that current conditions will prevail in the future. The results, therefore, provide a standard against which the impacts of changes in current conditions can be measured. It is estimated that the projected development level of 11.4 million acres of irrigated agriculture in Oregon, Washington, and Idaho by year 2020 would result in foregone hydroelectric generation potential of approximately 17.8 million megawatt-hours (MWh) annually and direct consumption of electric power for pumping and application of approximately 10.3 million MWh's annually. Thus, a total of 28.1 million MWh's of electric power generation will have to be traded off each year if irrigated agriculture is to be conducted on the projected scale. (ERB)

Davis, A. E.

1979-01-01T23:59:59.000Z

165

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facility’s electricity use highest? ( CHECKthe next day’s hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

166

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next day’s hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

167

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

168

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

169

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS,” Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

170

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

171

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

172

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

173

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

174

Definition: Gross generation | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Gross generation Jump to: navigation, search Dictionary.png Gross generation The total amount of electric energy produced by generating units (e.g. power plants) and measured at the generating terminal in kilowatt-hours (kWh) or megawatt-hours (MWh).[1] View on Wikipedia Wikipedia Definition Related Terms Electricity generation, Net generation, power References ↑ http://205.254.135.24/tools/glossary/index.cfm?id=G#gross_gen Retri Like Like You like this.Sign Up to see what your friends like. eved from "http://en.openei.org/w/index.php?title=Definition:Gross_generation&oldid=480543" Category: Definitions What links here Related changes Special pages Printable version Permanent link

175

Definition: Electricity generation | Open Energy Information  

Open Energy Info (EERE)

Electricity generation Electricity generation Jump to: navigation, search Dictionary.png Electricity generation The process of producing electric energy or the amount of electric energy produced by transforming other forms of energy into electrical energy; commonly expressed in kilowatt-hours (kWh) or megawatt-hours (MWh).[1][2] View on Wikipedia Wikipedia Definition Electricity generation is the process of generating electrical power from other sources of primary energy. The fundamental principles of electricity generation were discovered during the 1820s and early 1830s by the British scientist Michael Faraday. His basic method is still used today: electricity is generated by the movement of a loop of wire, or disc of copper between the poles of a magnet. For electric utilities, it is the

176

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

177

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

178

Low Wind Speed Turbine Project Phase II: The Application of Medium-Voltage Electrical Apparatus to the Class of Variable Speed Multi-Megawatt Low Wind Speed Turbines; 15 June 2004--30 April 2005  

DOE Green Energy (OSTI)

Kilowatt ratings of modern wind turbines have progressed rapidly from 50 kW to 1,800 kW over the past 25 years, with 3.0- to 7.5-MW turbines expected in the next 5 years. The premise of this study is simple: The rapid growth of wind turbine power ratings and the corresponding growth in turbine electrical generation systems and associated controls are quickly making low-voltage (LV) electrical design approaches cost-ineffective. This report provides design detail and compares the cost of energy (COE) between commercial LV-class wind power machines and emerging medium-voltage (MV)-class multi-megawatt wind technology. The key finding is that a 2.5% reduction in the COE can be achieved by moving from LV to MV systems. This is a conservative estimate, with a 3% to 3.5% reduction believed to be attainable once purchase orders to support a 250-turbine/year production level are placed. This evaluation considers capital costs as well as installation, maintenance, and training requirements for wind turbine maintenance personnel. Subsystems investigated include the generator, pendant cables, variable-speed converter, and padmount transformer with switchgear. Both current-source and voltage-source converter/inverter MV topologies are compared against their low-voltage, voltage-source counterparts at the 3.0-, 5.0-, and 7.5-MW levels.

Erdman, W.; Behnke, M.

2005-11-01T23:59:59.000Z

179

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

180

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

182

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

183

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

184

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

265 Million Hours of Supercomputing Time to Advance 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

185

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

186

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours

187

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

188

WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident  

NLE Websites -- All DOE Office Websites (Extended Search)

Workers Reach Two Million Man-Hours Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

189

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

190

DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

191

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

192

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 × 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

193

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

194

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

195

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

196

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

197

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

198

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

199

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

200

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

202

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Ö Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

203

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

204

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

205

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Center’s morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

206

DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office of Science Awards 18 Million Hours of Supercomputing Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

207

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

208

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

209

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

210

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

211

Pantex celebrates three million hours without a lost time injury | National  

NLE Websites -- All DOE Office Websites (Extended Search)

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

212

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

213

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

214

Southern California Edison 32MWh Wind Integration Project  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

, Southern California Edison , Southern California Edison Tehachapi Wind Energy Storage (TSP) Project Loïc Gaillac, Naum Pinsky Southern California Edison November 3, 2010 Funded in part by the Energy Storage Systems Program of the U.S. Department Of Energy through National Energy Technology Laboratory 2 © Copyright 2010, Southern California Edison Outline * Policy Challenges - The challenge/opportunity * Testing a Solution: Tehachapi Storage Project Overview - Description of the project & objectives - Operational uses - Conceptual layout 3 © Copyright 2010, Southern California Edison CA 2020: Energy Policy Initiatives Highlighting potential areas for storage applications: * High penetration of Solar and Wind generation - Executive order requiring 33% of generated electricity to come from

215

Southern California Edison 32MWh Wind Integration Project  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Southern California Edison November 3, 2010 Funded in part by the Energy Storage Systems Program of the U.S. Department Of Energy through National Energy Technology...

216

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

217

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

218

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

219

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

220

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

222

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint  

Science Conference Proceedings (OSTI)

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

2012-12-01T23:59:59.000Z

223

Value of Demand Response Theoretical thoughts Klaus Skytte  

E-Print Network (OSTI)

/MWh consumer surplus CP MWhqload MB #12;Determination of load profile MWh/h qt load Timet #12 Companies Private households #12;Determination of load each hour /MWh CP MWhqload MB #12;Consumer surplus the welfare losses in each period. The load-serving entity might determine the consumer price (CP

224

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-10-01T23:59:59.000Z

225

Nanocrystalline Magnetic Components for Megawatt Scale High ...  

Science Conference Proceedings (OSTI)

Symposium, Advanced Materials for Power Electronics, Power Conditioning, and ... This scaling does not typically incur higher losses in the nancrystalline ... that will efficiently integrate into the next generation power grid distribution network.

226

Proceedings of the High Megawatt Converter Workshop  

Science Conference Proceedings (OSTI)

... that would support production of the SOFC stacks in ... power plants and the limited market size. ... The inverter issues for DOD markets are somewhat ...

2012-05-02T23:59:59.000Z

227

Proceedings of the High Megawatt Power Converter ...  

Science Conference Proceedings (OSTI)

... State Energy Conversion Alliance SOFC Solid Oxide ... economic value to specific market segments? ... attributes that would serve multiple markets? ...

2012-10-01T23:59:59.000Z

228

Proceedings of the High Megawatt Power Converter ...  

Science Conference Proceedings (OSTI)

... in delivering electricity at fair prices, carbon-emission ... Secure, Reliable, Efficient Energy, Home Station to ... Oil age is finite (cost, supply, security, ...

2012-03-07T23:59:59.000Z

229

2007 High-Megawatt Converter Workshop  

Science Conference Proceedings (OSTI)

... window. The multiple window format is controlled using the “Windows” pull down menu on the Acrobat Reader Toolbar. ...

2013-04-26T23:59:59.000Z

230

Adaptive control system for pulsed megawatt klystrons  

DOE Patents (OSTI)

The invention provides an arrangement for reducing waveform errors such as errors in phase or amplitude in output pulses produced by pulsed power output devices such as klystrons by generating an error voltage representing the extent of error still present in the trailing edge of the previous output pulse, using the error voltage to provide a stored control voltage, and applying the stored control voltage to the pulsed power output device to limit the extent of error in the leading edge of the next output pulse.

Bolie, Victor W. (Albuquerque, NM)

1992-01-01T23:59:59.000Z

231

Fuel Mix and Emissions Disclosure | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

You are here You are here Home » Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Maryland Program Type Generation Disclosure Provider Maryland Public Service Commission Maryland's 1999 electric utility restructuring legislation requires all electric companies and electricity suppliers to provide customers with details regarding the fuel mix and emissions of electric generation. Emissions data must be expressed in terms of pounds per megawatt-hour (MWh). This information must be provided to customers every six months and annually to the Maryland Public Service Commission (PSC). Past reports are available in Case No. 8738 through the [http://webapp.psc.state.md.us/Intranet/Casenum/caseform_new.cfm? PSC's

232

Fuel Mix and Emissions Disclosure | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure Fuel Mix and Emissions Disclosure < Back Eligibility Utility Program Info State Michigan Program Type Generation Disclosure Provider Michigan Public Service Commission Michigan's Customer Choice and Electric Reliability Act of 2000 (P.A. 141) requires electric suppliers to disclose to customers details related to the fuel mix and emissions, in pounds per megawatt-hour (MWh) of electric generation. Electric suppliers must provide this information to customers twice annually in a standardized, uniform format. The Michigan Public Service Commission (MPSC) staff must calculate the regional electricity generation and environmental characteristics and make it available to be used by the state's generation providers. The web site above describes the

233

Renewable and Recycled Energy Objective | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Renewable and Recycled Energy Objective Renewable and Recycled Energy Objective Renewable and Recycled Energy Objective < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Buying & Making Electricity Water Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Wind Program Info State North Dakota Program Type Renewables Portfolio Standard Provider North Dakota Public Service Commission In March 2007, the North Dakota enacted legislation (H.B. 1506) establishing an ''objective'' that 10% of all retail electricity sold in the state be obtained from renewable energy and recycled energy by 2015. The objective must be measured by qualifying megawatt-hours (MWh) delivered at retail, or by credits purchased and retired to offset non-qualifying

234

Six- and three-hourly meteorological observations from 223 USSR stations  

SciTech Connect

This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

235

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

NLE Websites -- All DOE Office Websites (Extended Search)

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

236

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

237

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

238

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

239

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

240

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

242

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash flood–producing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

243

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

244

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

245

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

Energy.gov (U.S. Department of Energy (DOE))

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

246

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

247

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

248

Development of Global Hourly 0.5° Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

249

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

250

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

251

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

NLE Websites -- All DOE Office Websites (Extended Search)

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

252

Y-12 Construction hits one million-hour mark without a lost-time accident |  

NLE Websites -- All DOE Office Websites (Extended Search)

Construction hits one ... Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

253

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

254

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

255

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

256

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments of incremental load reductions from...

2001-12-20T23:59:59.000Z

257

Day-Ahead/Hour-Ahead Forecasting for Demand Trading: A Guidebook  

Science Conference Proceedings (OSTI)

Download report 1006016 for FREE. Demand trading can be an effective hedge against wholesale power price spikes during times of constraint. However, it also can be a high-risk venture. Profitability depends on reliable demand forecasting. Short-term load forecasting (STLF) can minimize the risks of day-ahead purchasing by providing better predictions at the system level. Additionally, STLF can reduce hour-ahead spot market risks and directly support demand trading by providing more accurate assessments o...

2001-12-20T23:59:59.000Z

258

An Hourly-Based Performance Comparison of an Integrated Micro-Structural  

NLE Websites -- All DOE Office Websites (Extended Search)

An Hourly-Based Performance Comparison of an Integrated Micro-Structural An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Title An Hourly-Based Performance Comparison of an Integrated Micro-Structural Perforated Shading Screen with Standard Shading Systems Publication Type Journal Article LBNL Report Number LBNL-5521E Year of Publication 2012 Authors Appelfeld, David, Andrew McNeil, and Svend Svendsen Journal Energy and Buildings Volume 50 Issue July 2012 Keywords building performance modelling, complex fenestration system, daylight, shading, solar gains Abstract This article evaluates the performance of an integrated micro structural perforated shading screen (MSPSS). Such a system maintains a visual connection with the outdoors while imitating the shading functionality of a venetian blind. Building energy consumption is strongly influenced by the solar gains and heat transfer through the transparent parts of the fenestration systems. MSPSS is angular-dependent shading device that provides an effective strategy in the control of daylight, solar gains and overheating through windows. The study focuses on using direct experimental methods to determine bi-directional transmittance properties of shading systems that are not included as standard shading options in readily available building performance simulation tools. The impact on the indoor environment, particularly temperature and daylight were investigated and compared to three other static complex fenestration systems. The bi-directional description of the systems was used throughout the article. The simulations were validated against outdoor measurements of solar and light transmittance.

259

Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System  

Science Conference Proceedings (OSTI)

Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authority’s control and reliability performance can be compromised. These operating hours are considered as “challenging” hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index Terms—Solar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

2012-05-09T23:59:59.000Z

260

Optimizing hourly hydro operations at the Salt Lake City Area integrated projects  

DOE Green Energy (OSTI)

The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Reliability analysis of solar photovoltaic system using hourly mean solar radiation data  

Science Conference Proceedings (OSTI)

This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)

Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)

2010-04-15T23:59:59.000Z

262

Low Cost, High Performance, 50-year Electrode  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Layered metal mesh Various Electrodes Under Investigation Target 25MW75MWh Wind-Firming Battery More Compact Footprint 3-hour Grid Storage Solutions must be compact and...

263

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours Docket No. EO-05-01. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours. Arial photograph showing plant and location of predicted SO2 violations, predicted in 2000. Mirant: Case 67a: Units 3 & 4 & 5 at Max Load for 12 hours and at Min Load for 12 hours More Documents & Publications Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

264

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

265

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mätvärden i Fjärrvärme- och Elförbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly… (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

266

Table 1. 2010 Summary Statistics  

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

Nevada" Nevada" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",11421,34 " Electric Utilities",8713,29 " Independent Power Producers & Combined Heat and Power",2708,33 "Net Generation (megawatthours)",35146248,38 " Electric Utilities",23710917,34 " Independent Power Producers & Combined Heat and Power",11435331,29 "Emissions (thousand metric tons)" " Sulfur Dioxide",7,44 " Nitrogen Oxide",15,40 " Carbon Dioxide",17020,38 " Sulfur Dioxide (lbs/MWh)",0.4,46 " Nitrogen Oxide (lbs/MWh)",1,37 " Carbon Dioxide (lbs/MWh)",1068,37 "Total Retail Sales (megawatthours)",33772595,33

267

Table 1. 2010 Summary Statistics  

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

Georgia" Georgia" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",36636,7 " Electric Utilities",26639,3 " Independent Power Producers & Combined Heat and Power",9998,11 "Net Generation (megawatthours)",137576941,8 " Electric Utilities",120425913,4 " Independent Power Producers & Combined Heat and Power",17151028,21 "Emissions (thousand metric tons)" " Sulfur Dioxide",265,5 " Nitrogen Oxide",79,10 " Carbon Dioxide",82592,8 " Sulfur Dioxide (lbs/MWh)",4.2,10 " Nitrogen Oxide (lbs/MWh)",1.3,28 " Carbon Dioxide (lbs/MWh)",1324,25

268

Table 1. 2010 Summary Statistics  

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

Tennessee" Tennessee" "NERC Region(s)",,"RFC/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",21417,19 " Electric Utilities",20968,11 " Independent Power Producers & Combined Heat and Power",450,49 "Net Generation (megawatthours)",82348625,19 " Electric Utilities",79816049,15 " Independent Power Producers & Combined Heat and Power",2532576,45 "Emissions (thousand metric tons)" " Sulfur Dioxide",138,13 " Nitrogen Oxide",33,31 " Carbon Dioxide",48196,18 " Sulfur Dioxide (lbs/MWh)",3.7,14 " Nitrogen Oxide (lbs/MWh)",0.9,40 " Carbon Dioxide (lbs/MWh)",1290,26

269

Table 1. 2010 Summary Statistics  

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

Dakota" Dakota" "NERC Region(s)",,"MRO/WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",3623,45 " Electric Utilities",2994,37 " Independent Power Producers & Combined Heat and Power",629,48 "Net Generation (megawatthours)",10049636,46 " Electric Utilities",8682448,36 " Independent Power Producers & Combined Heat and Power",1367188,47 "Emissions (thousand metric tons)" " Sulfur Dioxide",12,43 " Nitrogen Oxide",12,43 " Carbon Dioxide",3611,47 " Sulfur Dioxide (lbs/MWh)",2.6,23 " Nitrogen Oxide (lbs/MWh)",2.6,8 " Carbon Dioxide (lbs/MWh)",792,41

270

Table 1. 2010 Summary Statistics  

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

Texas" Texas" "NERC Region(s)",,"SERC/SPP/TRE/WECC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",108258,1 " Electric Utilities",26533,4 " Independent Power Producers & Combined Heat and Power",81724,1 "Net Generation (megawatthours)",411695046,1 " Electric Utilities",95099161,9 " Independent Power Producers & Combined Heat and Power",316595885,1 "Emissions (thousand metric tons)" " Sulfur Dioxide",430,2 " Nitrogen Oxide",204,1 " Carbon Dioxide",251409,1 " Sulfur Dioxide (lbs/MWh)",2.3,28 " Nitrogen Oxide (lbs/MWh)",1.1,32 " Carbon Dioxide (lbs/MWh)",1346,22

271

Table 1. 2010 Summary Statistics  

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

Wyoming" Wyoming" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",7986,37 " Electric Utilities",6931,31 " Independent Power Producers & Combined Heat and Power",1056,41 "Net Generation (megawatthours)",48119254,31 " Electric Utilities",44738543,25 " Independent Power Producers & Combined Heat and Power",3380711,42 "Emissions (thousand metric tons)" " Sulfur Dioxide",67,23 " Nitrogen Oxide",61,15 " Carbon Dioxide",45703,21 " Sulfur Dioxide (lbs/MWh)",3.1,19 " Nitrogen Oxide (lbs/MWh)",2.8,7 " Carbon Dioxide (lbs/MWh)",2094,2

272

Table 1. 2010 Summary Statistics  

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

Wisconsin" Wisconsin" "NERC Region(s)",,"MRO/RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",17836,23 " Electric Utilities",13098,19 " Independent Power Producers & Combined Heat and Power",4738,20 "Net Generation (megawatthours)",64314067,24 " Electric Utilities",45579970,22 " Independent Power Producers & Combined Heat and Power",18734097,18 "Emissions (thousand metric tons)" " Sulfur Dioxide",145,12 " Nitrogen Oxide",49,25 " Carbon Dioxide",47238,19 " Sulfur Dioxide (lbs/MWh)",5,9 " Nitrogen Oxide (lbs/MWh)",1.7,20 " Carbon Dioxide (lbs/MWh)",1619,16

273

Table 1. 2010 Summary Statistics  

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

Indiana" Indiana" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",27638,13 " Electric Utilities",23008,8 " Independent Power Producers & Combined Heat and Power",4630,23 "Net Generation (megawatthours)",125180739,11 " Electric Utilities",107852560,5 " Independent Power Producers & Combined Heat and Power",17328179,20 "Emissions (thousand metric tons)" " Sulfur Dioxide",385,4 " Nitrogen Oxide",120,4 " Carbon Dioxide",116283,5 " Sulfur Dioxide (lbs/MWh)",6.8,4 " Nitrogen Oxide (lbs/MWh)",2.1,12 " Carbon Dioxide (lbs/MWh)",2048,4

274

Table 1. 2010 Summary Statistics  

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

Jersey" Jersey" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",18424,22 " Electric Utilities",460,43 " Independent Power Producers & Combined Heat and Power",17964,6 "Net Generation (megawatthours)",65682494,23 " Electric Utilities",-186385,50 " Independent Power Producers & Combined Heat and Power",65868878,6 "Emissions (thousand metric tons)" " Sulfur Dioxide",14,40 " Nitrogen Oxide",15,41 " Carbon Dioxide",19160,37 " Sulfur Dioxide (lbs/MWh)",0.5,45 " Nitrogen Oxide (lbs/MWh)",0.5,48 " Carbon Dioxide (lbs/MWh)",643,43

275

Table 1. 2010 Summary Statistics  

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

Arizona" Arizona" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",26392,15 " Electric Utilities",20115,14 " Independent Power Producers & Combined Heat and Power",6277,16 "Net Generation (megawatthours)",111750957,12 " Electric Utilities",91232664,11 " Independent Power Producers & Combined Heat and Power",20518293,17 "Emissions (thousand metric tons)" " Sulfur Dioxide",33,33 " Nitrogen Oxide",57,17 " Carbon Dioxide",55683,15 " Sulfur Dioxide (lbs/MWh)",0.7,43 " Nitrogen Oxide (lbs/MWh)",1.1,31 " Carbon Dioxide (lbs/MWh)",1099,35

276

Table 1. 2010 Summary Statistics  

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

Louisiana" Louisiana" "NERC Region(s)",,"SERC/SPP" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",26744,14 " Electric Utilities",16471,17 " Independent Power Producers & Combined Heat and Power",10272,10 "Net Generation (megawatthours)",102884940,16 " Electric Utilities",51680682,19 " Independent Power Producers & Combined Heat and Power",51204258,8 "Emissions (thousand metric tons)" " Sulfur Dioxide",126,15 " Nitrogen Oxide",75,11 " Carbon Dioxide",58706,14 " Sulfur Dioxide (lbs/MWh)",2.7,21 " Nitrogen Oxide (lbs/MWh)",1.6,21 " Carbon Dioxide (lbs/MWh)",1258,27

277

Table 1. 2010 Summary Statistics  

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

Carolina" Carolina" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",27674,12 " Electric Utilities",25553,6 " Independent Power Producers & Combined Heat and Power",2121,34 "Net Generation (megawatthours)",128678483,10 " Electric Utilities",121251138,3 " Independent Power Producers & Combined Heat and Power",7427345,34 "Emissions (thousand metric tons)" " Sulfur Dioxide",131,14 " Nitrogen Oxide",57,16 " Carbon Dioxide",73241,13 " Sulfur Dioxide (lbs/MWh)",2.2,31 " Nitrogen Oxide (lbs/MWh)",1,34 " Carbon Dioxide (lbs/MWh)",1255,28

278

Table 1. 2010 Summary Statistics  

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

Idaho" Idaho" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",3990,44 " Electric Utilities",3035,36 " Independent Power Producers & Combined Heat and Power",955,42 "Net Generation (megawatthours)",12024564,44 " Electric Utilities",8589208,37 " Independent Power Producers & Combined Heat and Power",3435356,40 "Emissions (thousand metric tons)" " Sulfur Dioxide",7,45 " Nitrogen Oxide",4,48 " Carbon Dioxide",1213,49 " Sulfur Dioxide (lbs/MWh)",1.2,39 " Nitrogen Oxide (lbs/MWh)",0.8,43 " Carbon Dioxide (lbs/MWh)",222,50

279

Table 1. 2010 Summary Statistics  

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

Nebraska" Nebraska" "NERC Region(s)",,"MRO/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",7857,38 " Electric Utilities",7647,30 " Independent Power Producers & Combined Heat and Power",210,50 "Net Generation (megawatthours)",36630006,36 " Electric Utilities",36242921,30 " Independent Power Producers & Combined Heat and Power",387085,50 "Emissions (thousand metric tons)" " Sulfur Dioxide",65,24 " Nitrogen Oxide",40,30 " Carbon Dioxide",24461,34 " Sulfur Dioxide (lbs/MWh)",3.9,12 " Nitrogen Oxide (lbs/MWh)",2.4,9 " Carbon Dioxide (lbs/MWh)",1472,19

280

Table 1. 2010 Summary Statistics  

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

Kansas" Kansas" "NERC Region(s)",,"MRO/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",12543,32 " Electric Utilities",11732,20 " Independent Power Producers & Combined Heat and Power",812,45 "Net Generation (megawatthours)",47923762,32 " Electric Utilities",45270047,24 " Independent Power Producers & Combined Heat and Power",2653716,44 "Emissions (thousand metric tons)" " Sulfur Dioxide",41,30 " Nitrogen Oxide",46,26 " Carbon Dioxide",36321,26 " Sulfur Dioxide (lbs/MWh)",1.9,33 " Nitrogen Oxide (lbs/MWh)",2.1,13 " Carbon Dioxide (lbs/MWh)",1671,14

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Table 1. 2010 Summary Statistics  

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

Oregon" Oregon" "NERC Region(s)",,"WECC" "Primary Energy Source",,"Hydroelectric" "Net Summer Capacity (megawatts)",14261,29 " Electric Utilities",10846,27 " Independent Power Producers & Combined Heat and Power",3415,28 "Net Generation (megawatthours)",55126999,27 " Electric Utilities",41142684,26 " Independent Power Producers & Combined Heat and Power",13984316,26 "Emissions (thousand metric tons)" " Sulfur Dioxide",16,37 " Nitrogen Oxide",15,42 " Carbon Dioxide",10094,40 " Sulfur Dioxide (lbs/MWh)",0.6,44 " Nitrogen Oxide (lbs/MWh)",0.6,47 " Carbon Dioxide (lbs/MWh)",404,48

282

Table 1. 2010 Summary Statistics  

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

Michigan" Michigan" "NERC Region(s)",,"MRO/RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",29831,11 " Electric Utilities",21639,10 " Independent Power Producers & Combined Heat and Power",8192,14 "Net Generation (megawatthours)",111551371,13 " Electric Utilities",89666874,13 " Independent Power Producers & Combined Heat and Power",21884497,16 "Emissions (thousand metric tons)" " Sulfur Dioxide",254,6 " Nitrogen Oxide",89,6 " Carbon Dioxide",74480,11 " Sulfur Dioxide (lbs/MWh)",5,8 " Nitrogen Oxide (lbs/MWh)",1.8,19 " Carbon Dioxide (lbs/MWh)",1472,20

283

Table 1. 2010 Summary Statistics  

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

Missouri" Missouri" "NERC Region(s)",,"SERC/SPP" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",21739,18 " Electric Utilities",20360,12 " Independent Power Producers & Combined Heat and Power",1378,39 "Net Generation (megawatthours)",92312989,18 " Electric Utilities",90176805,12 " Independent Power Producers & Combined Heat and Power",2136184,46 "Emissions (thousand metric tons)" " Sulfur Dioxide",233,8 " Nitrogen Oxide",56,18 " Carbon Dioxide",78815,10 " Sulfur Dioxide (lbs/MWh)",5.6,6 " Nitrogen Oxide (lbs/MWh)",1.3,26 " Carbon Dioxide (lbs/MWh)",1882,7

284

Table 1. 2010 Summary Statistics  

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

West Virginia" West Virginia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",16495,24 " Electric Utilities",11719,21 " Independent Power Producers & Combined Heat and Power",4775,19 "Net Generation (megawatthours)",80788947,20 " Electric Utilities",56719755,18 " Independent Power Producers & Combined Heat and Power",24069192,13 "Emissions (thousand metric tons)" " Sulfur Dioxide",105,20 " Nitrogen Oxide",49,23 " Carbon Dioxide",74283,12 " Sulfur Dioxide (lbs/MWh)",2.9,20 " Nitrogen Oxide (lbs/MWh)",1.3,25 " Carbon Dioxide (lbs/MWh)",2027,5

285

Table 1. 2010 Summary Statistics  

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

District of Columbia" District of Columbia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",790,51 " Independent Power Producers & Combined Heat and Power",790,46 "Net Generation (megawatthours)",199858,51 " Independent Power Producers & Combined Heat and Power",199858,51 "Emissions (thousand metric tons)" " Sulfur Dioxide",1,49 " Nitrogen Oxide","*",51 " Carbon Dioxide",191,50 " Sulfur Dioxide (lbs/MWh)",8.8,2 " Nitrogen Oxide (lbs/MWh)",4,3 " Carbon Dioxide (lbs/MWh)",2104,1 "Total Retail Sales (megawatthours)",11876995,43 " Full Service Provider Sales (megawatthours)",3388490,50

286

Table 1. 2010 Summary Statistics  

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

Hawaii" Hawaii" "NERC Region(s)",,"--" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",2536,47 " Electric Utilities",1828,40 " Independent Power Producers & Combined Heat and Power",708,47 "Net Generation (megawatthours)",10836036,45 " Electric Utilities",6416068,38 " Independent Power Producers & Combined Heat and Power",4419968,38 "Emissions (thousand metric tons)" " Sulfur Dioxide",17,36 " Nitrogen Oxide",21,36 " Carbon Dioxide",8287,42 " Sulfur Dioxide (lbs/MWh)",3.4,16 " Nitrogen Oxide (lbs/MWh)",4.3,2 " Carbon Dioxide (lbs/MWh)",1686,13

287

Table 1. 2010 Summary Statistics  

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

Kentucky" Kentucky" "NERC Region(s)",,"RFC/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",20453,21 " Electric Utilities",18945,16 " Independent Power Producers & Combined Heat and Power",1507,38 "Net Generation (megawatthours)",98217658,17 " Electric Utilities",97472144,7 " Independent Power Producers & Combined Heat and Power",745514,48 "Emissions (thousand metric tons)" " Sulfur Dioxide",249,7 " Nitrogen Oxide",85,7 " Carbon Dioxide",93160,7 " Sulfur Dioxide (lbs/MWh)",5.6,5 " Nitrogen Oxide (lbs/MWh)",1.9,15 " Carbon Dioxide (lbs/MWh)",2091,3

288

Table 1. 2010 Summary Statistics  

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

Oklahoma" Oklahoma" "NERC Region(s)",,"SPP" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",21022,20 " Electric Utilities",16015,18 " Independent Power Producers & Combined Heat and Power",5006,17 "Net Generation (megawatthours)",72250733,22 " Electric Utilities",57421195,17 " Independent Power Producers & Combined Heat and Power",14829538,24 "Emissions (thousand metric tons)" " Sulfur Dioxide",85,21 " Nitrogen Oxide",71,12 " Carbon Dioxide",49536,17 " Sulfur Dioxide (lbs/MWh)",2.6,24 " Nitrogen Oxide (lbs/MWh)",2.2,11 " Carbon Dioxide (lbs/MWh)",1512,17

289

Table 1. 2010 Summary Statistics  

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

Delaware" Delaware" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",3389,46 " Electric Utilities",55,48 " Independent Power Producers & Combined Heat and Power",3334,29 "Net Generation (megawatthours)",5627645,50 " Electric Utilities",30059,46 " Independent Power Producers & Combined Heat and Power",5597586,36 "Emissions (thousand metric tons)" " Sulfur Dioxide",13,41 " Nitrogen Oxide",5,47 " Carbon Dioxide",4187,45 " Sulfur Dioxide (lbs/MWh)",5.2,7 " Nitrogen Oxide (lbs/MWh)",1.9,16 " Carbon Dioxide (lbs/MWh)",1640,15 "Total Retail Sales (megawatthours)",11605932,44

290

Table 1. 2010 Summary Statistics  

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

Iowa" Iowa" "NERC Region(s)",,"MRO/SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",14592,28 " Electric Utilities",11282,24 " Independent Power Producers & Combined Heat and Power",3310,30 "Net Generation (megawatthours)",57508721,26 " Electric Utilities",46188988,21 " Independent Power Producers & Combined Heat and Power",11319733,30 "Emissions (thousand metric tons)" " Sulfur Dioxide",108,18 " Nitrogen Oxide",50,22 " Carbon Dioxide",47211,20 " Sulfur Dioxide (lbs/MWh)",4.1,11 " Nitrogen Oxide (lbs/MWh)",1.9,14 " Carbon Dioxide (lbs/MWh)",1810,10

291

Table 1. 2010 Summary Statistics  

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

Florida" Florida" "NERC Region(s)",,"FRCC/SERC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",59147,3 " Electric Utilities",50853,1 " Independent Power Producers & Combined Heat and Power",8294,13 "Net Generation (megawatthours)",229095935,3 " Electric Utilities",206062185,1 " Independent Power Producers & Combined Heat and Power",23033750,15 "Emissions (thousand metric tons)" " Sulfur Dioxide",160,11 " Nitrogen Oxide",101,5 " Carbon Dioxide",123811,2 " Sulfur Dioxide (lbs/MWh)",1.5,37 " Nitrogen Oxide (lbs/MWh)",1,35 " Carbon Dioxide (lbs/MWh)",1191,31

292

Table 1. 2010 Summary Statistics  

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

Massachusetts" Massachusetts" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",13697,31 " Electric Utilities",937,42 " Independent Power Producers & Combined Heat and Power",12760,8 "Net Generation (megawatthours)",42804824,34 " Electric Utilities",802906,43 " Independent Power Producers & Combined Heat and Power",42001918,10 "Emissions (thousand metric tons)" " Sulfur Dioxide",35,31 " Nitrogen Oxide",17,38 " Carbon Dioxide",20291,36 " Sulfur Dioxide (lbs/MWh)",1.8,34 " Nitrogen Oxide (lbs/MWh)",0.9,39 " Carbon Dioxide (lbs/MWh)",1045,38

293

Table 1. 2010 Summary Statistics  

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

Hampshire" Hampshire" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",4180,43 " Electric Utilities",1132,41 " Independent Power Producers & Combined Heat and Power",3048,32 "Net Generation (megawatthours)",22195912,42 " Electric Utilities",3979333,41 " Independent Power Producers & Combined Heat and Power",18216579,19 "Emissions (thousand metric tons)" " Sulfur Dioxide",34,32 " Nitrogen Oxide",6,46 " Carbon Dioxide",5551,43 " Sulfur Dioxide (lbs/MWh)",3.4,17 " Nitrogen Oxide (lbs/MWh)",0.6,46 " Carbon Dioxide (lbs/MWh)",551,47

294

Table 1. 2010 Summary Statistics  

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

Alabama" Alabama" "NERC Region(s)",,"SERC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",32417,9 " Electric Utilities",23642,7 " Independent Power Producers & Combined Heat and Power",8775,12 "Net Generation (megawatthours)",152150512,6 " Electric Utilities",122766490,2 " Independent Power Producers & Combined Heat and Power",29384022,12 "Emissions (thousand metric tons)" " Sulfur Dioxide",218,10 " Nitrogen Oxide",66,14 " Carbon Dioxide",79375,9 " Sulfur Dioxide (lbs/MWh)",3.2,18 " Nitrogen Oxide (lbs/MWh)",1,36 " Carbon Dioxide (lbs/MWh)",1150,33

295

Table 1. 2010 Summary Statistics  

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

Minnesota" Minnesota" "NERC Region(s)",,"MRO" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",14715,27 " Electric Utilities",11547,22 " Independent Power Producers & Combined Heat and Power",3168,31 "Net Generation (megawatthours)",53670227,29 " Electric Utilities",45428599,23 " Independent Power Producers & Combined Heat and Power",8241628,32 "Emissions (thousand metric tons)" " Sulfur Dioxide",57,27 " Nitrogen Oxide",44,27 " Carbon Dioxide",32946,29 " Sulfur Dioxide (lbs/MWh)",2.3,27 " Nitrogen Oxide (lbs/MWh)",1.8,18 " Carbon Dioxide (lbs/MWh)",1353,21

296

Table 1. 2010 Summary Statistics  

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

Mexico" Mexico" "NERC Region(s)",,"SPP/WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",8130,36 " Electric Utilities",6345,33 " Independent Power Producers & Combined Heat and Power",1785,36 "Net Generation (megawatthours)",36251542,37 " Electric Utilities",30848406,33 " Independent Power Producers & Combined Heat and Power",5403136,37 "Emissions (thousand metric tons)" " Sulfur Dioxide",15,38 " Nitrogen Oxide",56,19 " Carbon Dioxide",29379,31 " Sulfur Dioxide (lbs/MWh)",0.9,42 " Nitrogen Oxide (lbs/MWh)",3.4,5 " Carbon Dioxide (lbs/MWh)",1787,11

297

Table 1. 2010 Summary Statistics  

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

Illinois" Illinois" "NERC Region(s)",,"MRO/RFC/SERC" "Primary Energy Source",,"Nuclear" "Net Summer Capacity (megawatts)",44127,5 " Electric Utilities",4800,35 " Independent Power Producers & Combined Heat and Power",39327,3 "Net Generation (megawatthours)",201351872,5 " Electric Utilities",12418332,35 " Independent Power Producers & Combined Heat and Power",188933540,3 "Emissions (thousand metric tons)" " Sulfur Dioxide",232,9 " Nitrogen Oxide",83,8 " Carbon Dioxide",103128,6 " Sulfur Dioxide (lbs/MWh)",2.5,25 " Nitrogen Oxide (lbs/MWh)",0.9,38 " Carbon Dioxide (lbs/MWh)",1129,34

298

Table 1. 2010 Summary Statistics  

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

Rhode Island" Rhode Island" "NERC Region(s)",,"NPCC" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",1782,49 " Electric Utilities",7,50 " Independent Power Producers & Combined Heat and Power",1775,37 "Net Generation (megawatthours)",7738719,47 " Electric Utilities",10827,47 " Independent Power Producers & Combined Heat and Power",7727892,33 "Emissions (thousand metric tons)" " Sulfur Dioxide","*",50 " Nitrogen Oxide",3,49 " Carbon Dioxide",3217,48 " Sulfur Dioxide (lbs/MWh)","*",50 " Nitrogen Oxide (lbs/MWh)",0.8,42 " Carbon Dioxide (lbs/MWh)",916,39

299

Table 1. 2010 Summary Statistics  

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

Alaska" Alaska" "NERC Region(s)",,"--" "Primary Energy Source",,"Gas" "Net Summer Capacity (megawatts)",2067,48 " Electric Utilities",1889,39 " Independent Power Producers & Combined Heat and Power",178,51 "Net Generation (megawatthours)",6759576,48 " Electric Utilities",6205050,40 " Independent Power Producers & Combined Heat and Power",554526,49 "Emissions (thousand metric tons)" " Sulfur Dioxide",3,46 " Nitrogen Oxide",16,39 " Carbon Dioxide",4125,46 " Sulfur Dioxide (lbs/MWh)",1,41 " Nitrogen Oxide (lbs/MWh)",5.2,1 " Carbon Dioxide (lbs/MWh)",1345,23 "Total Retail Sales (megawatthours)",6247038,50

300

Table 1. 2010 Summary Statistics  

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

Pennsylvania" Pennsylvania" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",45575,4 " Electric Utilities",455,44 " Independent Power Producers & Combined Heat and Power",45120,2 "Net Generation (megawatthours)",229752306,2 " Electric Utilities",1086500,42 " Independent Power Producers & Combined Heat and Power",228665806,2 "Emissions (thousand metric tons)" " Sulfur Dioxide",387,3 " Nitrogen Oxide",136,2 " Carbon Dioxide",122830,3 " Sulfur Dioxide (lbs/MWh)",3.7,13 " Nitrogen Oxide (lbs/MWh)",1.3,27 " Carbon Dioxide (lbs/MWh)",1179,32

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Table 1. 2010 Summary Statistics  

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

Montana" Montana" "NERC Region(s)",,"MRO/WECC" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",5866,41 " Electric Utilities",2340,38 " Independent Power Producers & Combined Heat and Power",3526,27 "Net Generation (megawatthours)",29791181,41 " Electric Utilities",6271180,39 " Independent Power Producers & Combined Heat and Power",23520001,14 "Emissions (thousand metric tons)" " Sulfur Dioxide",22,35 " Nitrogen Oxide",21,35 " Carbon Dioxide",20370,35 " Sulfur Dioxide (lbs/MWh)",1.6,35 " Nitrogen Oxide (lbs/MWh)",1.6,22 " Carbon Dioxide (lbs/MWh)",1507,18

302

Table 1. 2010 Summary Statistics  

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

Dakota" Dakota" "NERC Region(s)",,"MRO" "Primary Energy Source",,"Coal" "Net Summer Capacity (megawatts)",6188,40 " Electric Utilities",4912,34 " Independent Power Producers & Combined Heat and Power",1276,40 "Net Generation (megawatthours)",34739542,39 " Electric Utilities",31343796,32 " Independent Power Producers & Combined Heat and Power",3395746,41 "Emissions (thousand metric tons)" " Sulfur Dioxide",116,17 " Nitrogen Oxide",52,21 " Carbon Dioxide",31064,30 " Sulfur Dioxide (lbs/MWh)",7.3,3 " Nitrogen Oxide (lbs/MWh)",3.3,6 " Carbon Dioxide (lbs/MWh)",1971,6 "Total Retail Sales (megawatthours)",12956263,42

303

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

304

Sub-Hourly Impacts of High Solar Penetrations in the Western United States: Preprint  

DOE Green Energy (OSTI)

This paper presents results of analysis on the sub-hourly impacts of high solar penetrations from the Western Wind and Solar Integration Study Phase 2. Extreme event analysis showed that most large ramps were due to sunrise and sunset events, which have a significant predictability component. Variability in general was much higher in the high-solar versus high-wind scenario. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability.

Lew, D.; Brinkman, G.; Ibanez, E.; Hummon, M.; Hodge, B. M.; Heaney, M.; King, J.

2012-09-01T23:59:59.000Z

305

Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.  

SciTech Connect

The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

Columbia River System Operation Review (U.S.)

1994-02-01T23:59:59.000Z

306

NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation  

SciTech Connect

The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the system’s generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

2013-01-02T23:59:59.000Z

307

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

308

EPA Clean Energy-Environment Technical Forum Renewable Energy Certificates: Background & Resources  

E-Print Network (OSTI)

Renewable energy certificates (RECs) are transferable commodities that represent the environmental and other non-power attributes of renewable energy. RECs are used to demonstrate compliance with state renewable portfolio standards (RPS) which are designed to increase development and production of energy from renewable resources by imposing mandated targets for retail sales of renewable generation. RECS are also used in the voluntary green power market which allows individual purchasers to voluntarily purchase a REC and then claim an environmental benefit associated with that purchase. This background paper describes the importance of RECs and how state RPS policies and tracking systems influence REC availability, cost of compliance and price differences in REC markets from state to state. Resources for additional information about these topics are also provided. I. What is a REC? Renewable Energy Certificates (RECs) represent the environmental and other non-power attributes of renewable electricity. RECs are measured in megawatt-hours (MWh) and are created at the point of generation, as the electricity is introduced into the electricity grid. RECs are numbered, paper certificates that represent each MWh of renewable energy sold and provide

unknown authors

2008-01-01T23:59:59.000Z

309

High performance steam cogeneration (proof-of-concept phases). Phase 2, HRSG 500-hour test report: Final report  

SciTech Connect

Recent advances in small once-through Alloy 800 steam generators, improved materials technology, and application of small industrial gas turbine technology to steam turbine cogeneration offers the potential to make a step increase in steam temperature from around 1000{degree}F, where industry has been for almost fifty years, to 1500{degree}F. In small cogeneration systems, it is economically practical to introduce new technology and make a step change in temperature where it may not be possible (given the regulatory environment and economic risk) for a major change in steam temperature to be introduced in the hundreds of megawatt size of an electric utility. Increasing the peak steam temperature in a steam turbine cycle allows more work to be extracted or electrical power to be generated from a given quantity of heat input. Figure 1 plots steam efficiency as a function of superheat steam temperature and pressure for a turbine-back pressure of 166 psia. This figure clearly shows that increasing the steam conditions from the typical current practice of 900{degree}F and 900 psia to 1500{degree}F and 1500 psia will increase the steam cycle efficiency by 53%. The combination of higher cycle efficiency with an advanced high efficiency steam turbine design provides a substantial increase in turbine output power for a given steam flowrate. The output of this advanced high temperature steam turbine is approximately twice that of a current industrial practive turbine for the same turbine flowrate as seen in Figure 2.

Campbell, A.H.

1992-12-01T23:59:59.000Z

310

A 25-yr Climatology of Large-Amplitude Hourly Surface Pressure Changes over the Conterminous United States  

Science Conference Proceedings (OSTI)

Hourly surface pressure observations for a 25-yr period (1949–63; 1984–93) for the conterminous United States have been used to map the distribution of large hourly pressure changes defined as falls or rises in excess of 4.25 hPa. Initially, 8431 ...

Lorna L. Koppel; Lance F. Bosart; Daniel Keyser

2000-01-01T23:59:59.000Z

311

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.31  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 1 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.31 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 17 August 2006 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

312

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.34  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 4 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.34 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 10 August 2007 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

313

SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts  

NLE Websites -- All DOE Office Websites (Extended Search)

TM (04-95) TM (04-95) Sections II & III SECTION II STANDARD TERMS AND CONDITIONS FOR TIME AND MATERIAL OR LABOR HOURS CONTRACTS INDEX OF CLAUSES THE FOLLOWING CLAUSES APPLY TO THIS CONTRACT AS INDICATED UNLESS SPECIFICALLY DELETED, OR EXCEPT TO THE EXTENT THEY ARE SPECIFICALLY SUPPLEMENTED OR AMENDED IN WRITING IN THE SIGNATURE PAGE OR SECTION I. No. Title Page "A" Clauses apply to Requests for Quotation and Contracts at any value A10 Definitions 2 A11 Unclassified Contract 2 A12 Assignment 2 *A13 Releases Void 2 *A14 Notice of Labor Disputes 2 *A16 Contractor's Information 2 A17 Delegated Representatives 2 *A18 Defense Priority and Allocation System 2 A19 Terms and Conditions 3 *A20 Permits 3 *A23 Applicable Law 3 *A24 Contractor Records Retention 3 A25 Commerce in Explosives, Firearms and

314

High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.

Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen

2009-11-01T23:59:59.000Z

315

(Project title: E-mc2, A Two-Hour Television Program on NOVA)  

DOE Green Energy (OSTI)

Executive Summary A woman in the early 1700s who became one of Europe’s leading interpreters of mathematics and a poor bookbinder who became one of the giants of nineteenth-century science are just two of the pioneers whose stories NOVA explored in Einstein’s Big Idea. This two-hour documentary premiered on PBS in October 2005 and is based on the best-selling book by David Bodanis, E=mc2: A Biography of the World’s Most Famous Equation. The film and book chronicle the scientific challenges and discoveries leading up to Einstein’s startling conclusion that mass and energy are one, related by the formula E = mc2.

Susanne Simpson

2007-05-07T23:59:59.000Z

316

2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test  

DOE Green Energy (OSTI)

The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.

C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen

2009-11-01T23:59:59.000Z

317

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

318

Wind Power Plants and System Operation in the Hourly Time Domain: Preprint  

DOE Green Energy (OSTI)

Because wind is an intermittent power source, the variability may have significant impacts on system operation. Part of the difficulty of analyzing the load following impact of wind is the inadequacy of most modeling frameworks to accurately treat wind plants and the difficulty of untangling causal impacts of wind plants from other dynamic phenomena. This paper presents a simple analysis of an hourly load-following requirement that can be performed without extensive computer modeling. The approach is therefore useful as a first step to quantifying these impacts when extensive modeling and data sets are not available. The variability that wind plants add to the electricity supply must be analyzed in the context of overall system variability. The approach used in this paper does just that. The results show that wind plants do have an impact on load following, but when calculated as a percentage of the installed wind plant capacity, this impact is not large. Another issue is the extent to which wind forecast errors add to imbalance. The relative statistical independence of wind forecast errors and load forecast errors can be used to help quantify the extent to which wind forecast errors impact overall system imbalances.

Milligan, M.

2003-05-01T23:59:59.000Z

319

After-hours Power Status of Office Equipment in the USA  

SciTech Connect

Office equipment is expected to be the fastest-growingsegment of commercial energy use over the next 20 years, yet many aspectsof office equipment energy use are poorly understood. User behavior, suchas turning off devices at night or enabling power management, influencesenergy use to a great extent. The computing environment also plays a roleboth in influencing user behavior and in the success of power management.Information about turn-off rates and power management rates for officeequipment was collected through a series of after-hours audits incommercial buildings. Sixteen businesses were recruited, includingoffices (small, medium and large offices in a variety of industries),schools, and medical buildings in California, Georgia, and Pennsylvania.The types and power states of office equipment found in these buildingswere recorded and analyzed. This article presents these data forcomputers, monitors, printers, copiers, fax machines, scanners andmulti-function devices. These data can be used to improve estimates ofboth energy consumption for these devices and savings from energyconservation efforts.

Webber, Carrie A.; Roberson, Judy A.; McWhinney, Marla C.; Brown,Richard E.; Pinckard, Margaret J.; Busch, John F.

2005-10-13T23:59:59.000Z

320

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2004-01-22T23:59:59.000Z

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

322

Instructor's Name Email Address Office Hours Allen, Chris christopherallen@pdx.edu W 3:00-4:00pm CH 366  

E-Print Network (OSTI)

Instructor's Name Email Address Office Hours Office Location Allen, Chris christopherallen CH 361 Fall 2011 Instructor Office Hours #12;Pickett-Cooper, Patty pickettp@pdx.edu F 11:30-1:30pm CH

323

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should be monitored  

E-Print Network (OSTI)

[14] DIRECT TRANSFER ELECTROPHORESIS 187 which usually takes less than an hour. The database should MemorialScholarship, and M.S.C. by AppliedBiosystems. [14] DNA Sequencing with Direct Transfer are preparative electrophoresis methods and direct transfer electro- phoresis. ~°In direct transfer

Church, George M.

324

Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost).  

E-Print Network (OSTI)

AIM Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change for saving energy and impact subsequent perceptions and behaviour. A particular focus here is behaviour beyond immediate energy consumption behaviour, i.e., more general environmental behaviours. SOCIAL VALUES

McAuley, Derek

325

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

326

Why the June price spike was not a fluke  

Science Conference Proceedings (OSTI)

Generation and capacity shortages are being exacerbated by the slowness of the deregulation process. Most at risk are companies that are not well structured to function in the wholesale power industry or who have mistaken apparent regulatory inaction for an indication of the low risk of shortages and high prices. There are many who would like to believe that the high wholesale power prices that were seen in the Midwest in June 1998 were one-time occurrences, but this is not likely to be the case. Regulators and others often find this truth so difficult to accept that they choose a combination of hope for reasonable weather and outright denial. One measure of the shortage is that the reported 1998 peak price of $7,000 per megawatt-hour (MWh) was so high that, were it to prevail even for 48 hours, a new combustion turbine could be fully paid off. In other words, any net revenues during the remaining 8,712 hours of the first year that the combustion turbine comes on line and of the rest of the plant`s multidecade life would be pure profit. Another measure is that many parts of the country are poised to join Colorado and Alberta in the rolling blackout-due-to-capacity-shortfall club.

Rose, J.L. [ICF Kaiser International Inc., Fairfax, VA (United States)

1998-11-01T23:59:59.000Z

327

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

328

Handbook of solar energy data for south-facing surfaces in the United States. Volume II. Average hourly and total daily insolation data for 235 localities (Alaska - Montana)  

DOE Green Energy (OSTI)

Average hourly and daily total insolaion estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

329

A Study on How the Electricity Market as a Whole and Consumers in Particular Could Benefit if More Consumers were to buy Electricity on Hourly Metering.  

E-Print Network (OSTI)

?? When consumers are able to buy electricity on an hourly instead of monthly basis, the demand side flexibility is likely to increase. One way… (more)

Lundström, Fredrik

2010-01-01T23:59:59.000Z

330

Water Power for a Clean Energy Future (Fact Sheet)  

DOE Green Energy (OSTI)

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.

Not Available

2012-03-01T23:59:59.000Z

331

Massachusetts Takes On Climate Change  

E-Print Network (OSTI)

promote a clean and green energy economy. Massachusetts'megawatt-hours of green energy supplied to its customers.job creation in the green energy sector, promote workforce

Kimmell, Ken; Laurie, Burt

2009-01-01T23:59:59.000Z

332

www.vics.org1 September 27, 2011  

E-Print Network (OSTI)

in Time: 1.9mm hours 3.5 Megawatt Solar Power Rooftop System - Goodyear, AZ DC plus 40 Solar Systems

Lin, Xiaodong

333

Technology@TMS: Online Article  

Science Conference Proceedings (OSTI)

The solar electric photovoltaic (PV) system will generate approximately 200 megawatt hours of electricity annually and provide up to eight percent of the ...

334

OpenEI - hourly  

Open Energy Info (EERE)

are given by a location defined by the Typical Meteorological Year (TMY) for which the weather data was collected. Commercial load data is sorted by the (TMY) site as a...

335

PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL  

NLE Websites -- All DOE Office Websites (Extended Search)

9/5/13 from 9/5/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 9/5/13 from 2:00 to 4:00 pm at LBNL September 5, 2013 (0 Comments) I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 9/5/13 from 2:00 - 4:00 pm in the NERSC drop in office at 050A-0143A (in the basement by the bus offices). Please feel free to stop by if you have any questions or want some hands on help with PDSF issues. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

336

Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff  

SciTech Connect

The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-11-14T23:59:59.000Z

337

PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL  

NLE Websites -- All DOE Office Websites (Extended Search)

10/17/13 from 10/17/13 from 2:00 to 4:00 pm at LBNL PDSF Office Hours 10/17/13 from 2:00 to 4:00 pm at LBNL October 7, 2013 (0 Comments) I have biweekly office hours on Thursdays at LBNL. The next one is Thursday 10/17/13 from 2:00 - 4:00 pm in the NERSC drop in office at 050A-0143A (in the basement by the bus offices). Please feel free to stop by if you have any questions or want some hands on help with PDSF issues. Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS Subscribe Browse by Date November 2013 October 2013 September 2013 August 2013 March 2012 February 2012 January 2012

338

The distribution of cloud cover over the former USSR as derived from the RIHMI 223-Station 3-hourly meteorological database  

SciTech Connect

In recent years a great deal of meteorological and climatological data has been exchanged between the two principal climate data centers of the United States and the former Soviet Union: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the Research Institute of Hydrometeorological Information (RIHMI) in Obninsk, Russia. This was accomplished via Working Group VIB (Influence of Environmental Changes on Climate) of the bilateral initiative known as the Agreement on Protection of the Environment, established on May 23, 1972 by the United States and the USSR. One of the key datasets compiled by RIHMI includes 3-hourly meteorological observations from 223 USSR stations for the period 1966-83. RIHMI has chosen to use daily and hourly data from these stations as the basis for considerable climate research efforts. These data (hereafter referred to as the RIHMI database) will soon be made available by both NCDC and the Department of Energy`s Carbon Dioxide Information Analysis Center (CDIAC) in Oak Ridge, Tennessee. The data have undergone extensive quality assurance checks at RIHMI, NCDC, and CDIAC. The data contain observations of some 22 meteorological variables, including near-surface air temperature, sea level pressure, precipitation amount, weather type, and total cloud cover. This study uses the RIHMI database to examine the spatial distribution of total cloud cover over the former USSR (hereafter referred to as the USSR). In this initial assessment, we focus on comparing our results with total cloud cover data presented in the atlas: Global Distribution of Total Cloud Cover and Cloud Type Amounts Over Land for the common data period 1971-81.

Kaiser, D.P.; Vose, R.S. [Oak Ridge National Lab., TN (United States); Karl, T.R. [National Climatic Data Center, Asheville, NC (United States); Razuvaev, V.N. [Research Institute of Hydrometeorological Information, Obninsk (Russian Federation)

1995-02-01T23:59:59.000Z

339

Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)  

DOE Green Energy (OSTI)

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.

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

2012-10-01T23:59:59.000Z

340

NREL: Concentrating Solar Power Research - 10-Megawatt Supercritical...  

NLE Websites -- All DOE Office Websites (Extended Search)

Supercritical Carbon Dioxide Turbine Test-Thermodynamic Cycle to Revolutionize CSP Systems Advancing concentrating solar power (CSP) systems to the target cost of 0.06...

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc. ofMary, and Laura Parsons. Offshore Wind Energy. Washingto,Challenges for Floating Offshore Wind Turbines. Tech. no.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

342

Advanced High-Megawatt Converters for New Grid ...  

Science Conference Proceedings (OSTI)

... DC microGRID HYDRO NUCLEAR HVAC TRANSMISSION ?ECC … nECC pECC ... ?ECC HVAC TRANSMISSION COMBUSTION NUCLEAR ...

2012-08-02T23:59:59.000Z

343

High-megawatt Electric Drive Applications in Oil & Gas  

Science Conference Proceedings (OSTI)

... Page 7. Oil & Gas Electrification World Largest LNG Train from GE (8 MTPY) tested in Massa, Italy Page 8. 8 ... LNG/e-LNG example LNG Super Train ...

2012-07-31T23:59:59.000Z

344

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc.of European Wind Energy Conference 2009, Marseille, France.and S. E. Sowby. Standardized Wind and Wave Environments for

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

345

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

1985. 23. Hau, E. Wind Turbines: Fundamentals, Technologies,for Floating Offshore Wind Turbines. Tech. no. NREL/CP-500-Full-scale Floating Wind Turbine." Statoil, 14 Oct. 2009.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

346

Megawatt-Class Lithium Ion Energy Storage Systems  

Science Conference Proceedings (OSTI)

This project describes the most recent developments in the use of energy storage in frequency regulation and other ancillary service applications. This includes an analysis of limited storage in frequency regulation applications in the Pennsylvania-New Jersey-Maryland Interconnection (PJM), as well as a case study of a lithium ion energy storage system installed in California.

2009-12-22T23:59:59.000Z

347

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

of wind turbine. Rating Control Rotor Radius Rated Windturbines is a major design consideration due to cyclic loading induced by the rotating rotors [the turbine. The base was assumed to be fixed and the rotor

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

348

Demonstration of an Advanced 250 Megawatt Integrated Gasification  

E-Print Network (OSTI)

A report on a project conducted jointly under a cooperative agreement between: The U.S. Department of Energy and Tampa Electric CompanyCover image: The Polk Power Plant site as seen from across the lake in early evening. Photography courtesy of Lee Schmoe, Bechtel Power Corporation. Preparation and printing of this document conforms to the general funding provisions of a cooperative agreement between Tampa Electric Company and the U.S. Department of Energy. The funding contribution of the industrial participant permitted inclusion of

Combined-cycle Power Plant

1996-01-01T23:59:59.000Z

349

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

Enabling New Markets for Offshore Wind Energy." Proc. ofand Laura Parsons. Offshore Wind Energy. Washingto, DC:Challenges for Floating Offshore Wind Turbines. Tech. no.

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

350

EURISOL-DS Multi-Megawatt Target: Remote Handling Equipment  

E-Print Network (OSTI)

The design proposed within Task #2 of the EURISOL Design Study for the remote handling of the mercury converter target and its associated loop is presented with particular emphasis on achieving rapid turn-around during routine maintenance.The converter target needs to be completely exchanged every four months due to the high irradiation damage sustained. Other components are less susceptible to damage but may need periodic maintenance; in particular the on-line isotopic separation unit in the mercury loop.

Cyril Kharoua, Olivier Choisnet, Yacine Kadi, Karel Samec (CERN)

351

LINE","COMPNAME","COMPID","YEAR","PURCNAME","SALETYPE","MEGAWATT...  

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

Spencer City of",554,1999,"Iowa State University","NF",3543,0,0,87758,87758 2,"Spencer City of",554,1999,"Alliant","NF",28,0,0,1443,1443 3,"Spencer City of",554,1999,"Mid-America...

352

The NIST 3 Megawatt Quantitative Heat Release Rate Facility  

Science Conference Proceedings (OSTI)

... A pair of disposable flat disk filters is used to ... is a constant if the speeds of the roof and control ... generated pulse shapes such as a flatter top section ...

2004-07-14T23:59:59.000Z

353

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

to the support platform is the “NREL offshore 5- MW baselineOffshore wind turbine classification [3]. .. 3 Figure 1.2: Alternative platform

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

354

Today in Energy - Megatons to Megawatts program will conclude at ...  

U.S. Energy Information Administration (EIA)

Nuclear Electricity Consumption Total Energy. Topics Analysis & Projections Environment Markets & Finance Today in Energy. Geography States Countries Maps. Tools A-Z ...

355

Dynamic analysis of a 5 megawatt offshore floating wind turbine  

E-Print Network (OSTI)

of European Wind Energy Conference 2009, Marseille, France.Enabling New Markets for Offshore Wind Energy." Proc.Parsons. Offshore Wind Energy. Washingto, DC: Environmental

Harriger, Evan Michael

2011-01-01T23:59:59.000Z

356

Five-megawatt geothermal-power pilot-plant project  

DOE Green Energy (OSTI)

This is a report on the Raft River Geothermal-Power Pilot-Plant Project (Geothermal Plant), located near Malta, Idaho; the review took place between July 20 and July 27, 1979. The Geothermal Plant is part of the Department of Energy's (DOE) overall effort to help commercialize the operation of electric power plants using geothermal energy sources. Numerous reasons were found to commend management for its achievements on the project. Some of these are highlighted, including: (a) a well-qualified and professional management team; (b) effective cost control, performance, and project scheduling; and (c) an effective and efficient quality-assurance program. Problem areas delineated, along with recommendations for solution, include: (1) project planning; (2) facility design; (3) facility construction costs; (4) geothermal resource; (5) drilling program; (6) two facility construction safety hazards; and (7) health and safety program. Appendices include comments from the Assistant Secretary for Resource Applications, the Controller, and the Acting Deputy Director, Procurement and Contracts Management.

Not Available

1980-08-29T23:59:59.000Z

357

LINE","COMPNAME","COMPID","YEAR","PURCNAME","SALETYPE","MEGAWATT...  

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

","FP",100480,17185,618928,713419,1332347 2,"Alexandria City of",295,1999,"MISSOURI RIVER ENERGY S","FP",130943,29583,2497127,2383703,4880830 999999,"Alexandria City...

358

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

182,40183,40183,100.5,95,97,19.88,33600,42,27 182,40183,40183,100.5,95,97,19.88,33600,42,27 "Nepool MH DA LMP",40183,40184,40184,95,90,92.96,-4.04,39200,49,25 "Nepool MH DA LMP",40184,40185,40185,94,83,86.45,-6.51,33600,42,30 "Nepool MH DA LMP",40185,40186,40186,90,81.5,83.19,-3.26,47200,53,27 "Nepool MH DA LMP",40186,40189,40189,91,88.75,89.88,6.69,42400,53,30 "Nepool MH DA LMP",40189,40190,40190,71,67.75,68.95,-20.93,78400,95,30 "Nepool MH DA LMP",40190,40191,40191,61.25,58.75,59.99,-8.96,52800,64,31 "Nepool MH DA LMP",40191,40192,40192,56.25,54.75,55.33,-4.66,71200,82,32 "Nepool MH DA LMP",40192,40193,40193,53.75,53,53.36,-1.97,44000,55,25 "Nepool MH DA LMP",40193,40196,40196,55.75,54.75,55.64,2.28,21600,25,12

359

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

Indiana Rt Peak",41246,41247,41247,31.5,31.5,31.5,-1.5,1600,2,3 Indiana Rt Peak",41246,41247,41247,31.5,31.5,31.5,-1.5,1600,2,3 "Indiana Rt Peak",41247,41248,41248,34,33.5,33.75,2.25,1600,2,3 "Indiana Rt Peak",41248,41249,41249,37.25,37,37.13,3.38,8000,10,9 "Indiana Rt Peak",41249,41250,41250,34.25,33.25,33.67,-3.46,2400,3,6 "Indiana Rt Peak",41250,41253,41253,38.25,37,37.5,3.83,12800,16,13 "Indiana Rt Peak",41253,41254,41254,37.75,37.5,37.63,0.13,1600,2,4 "Indiana Rt Peak",41254,41255,41255,34,34,34,-3.63,2400,3,4 "Indiana Rt Peak",41255,41256,41256,32.25,32,32.19,-1.81,3200,4,6 "Indiana Rt Peak",41256,41257,41257,31,31,31,-1.19,1600,2,3 "Indiana Rt Peak",41257,41260,41260,33,32,32.5,1.5,1600,2,4 "Indiana Rt Peak",41260,41261,41261,33.9,33.5,33.66,1.16,3200,4,7

360

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

40911,40912,40912,35.25,34,34.38,-13.52,6400,8,9 40911,40912,40912,35.25,34,34.38,-13.52,6400,8,9 "Indiana",40912,40913,40913,31,30.45,30.73,-3.65,4800,6,7 "Indiana",40913,40914,40914,31,28.75,30.27,-0.46,20000,25,14 "Indiana",40917,40918,40918,29.05,29,29.03,-1.24,1600,2,4 "Indiana",40918,40919,40919,29.5,28.5,29.02,-0.01,5600,7,8 "Indiana",40919,40920,40920,32.25,30.75,31.59,2.57,6400,8,7 "Indiana",40920,40921,40921,35,33.25,33.92,2.33,30400,37,19 "Indiana",40921,40924,40924,29.5,29,29.25,-4.67,1600,2,4 "Indiana",40924,40925,40925,31.5,29.75,30.52,1.27,7200,9,8 "Indiana",40925,40926,40926,30.25,29.5,30,-0.52,3200,4,6 "Indiana",40926,40927,40927,33.75,32,32.61,2.61,13600,17,16 "Indiana",40927,40928,40928,33.5,32.5,33,0.39,9600,12,12

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

37.25,35.5,36.16,3.13,27200,25,16 37.25,35.5,36.16,3.13,27200,25,16 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",32,31,31.63,-4.53,12800,15,14 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",26.25,25.5,25.86,-5.77,7200,7,10 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39.5,38.5,39.21,13.35,20000,24,13 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",47.75,45,46.51,7.3,27200,32,19 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",43.5,42,42.79,-3.72,39200,46,20

362

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

26,25.25,25.71,-1.15,6800,16,15 26,25.25,25.71,-1.15,6800,16,15 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",24,23.25,23.63,-2.08,14400,17,14 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",23.85,22,23.36,-0.27,8800,22,16 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",21.85,19.25,20.77,-2.59,10000,25,15 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",21.75,20,21.32,0.55,9600,23,14 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",21.25,19,20.42,-0.9,7200,16,14

363

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

40.5,40.35,40.43,2.67,3200,8,3 40.5,40.35,40.43,2.67,3200,8,3 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",41,40.85,40.97,0.54,2000,2,3 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",36.25,36.25,36.25,-4.72,3200,1,2 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39.05,39,39.02,2.77,1200,2,2 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",36.25,36.25,36.25,-2.77,3200,2,3 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",36.75,36.5,36.63,0.38,1600,4,3

364

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

258,37259,37259,31,27.5,29.51,108000,101,28 258,37259,37259,31,27.5,29.51,108000,101,28 "PJM West",37259,37260,37260,28.25,26.95,27.38,107200,96,32 "PJM West",37260,37263,37263,26.7,26.25,26.45,102400,106,29 "PJM West",37263,37264,37264,26.25,25.45,25.75,87200,81,27 "PJM West",37264,37265,37265,24.85,24.2,24.45,53600,58,27 "PJM West",37265,37266,37266,23.6,22.5,23.05,88000,87,25 "PJM West",37266,37267,37267,23.05,22.75,22.91,72000,79,24 "PJM West",37267,37270,37270,25.1,24.55,24.88,75200,82,29 "PJM West",37270,37271,37271,23.65,22.6,23.44,47200,44,22 "PJM West",37271,37272,37272,23.05,22.85,22.95,42400,47,21 "PJM West",37272,37273,37273,23.6,23.1,23.33,68000,76,27 "PJM West",37273,37274,37274,23.8,23.3,23.47,72800,73,28

365

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

50.25,49,49.68,2.51,19200,46,20 50.25,49,49.68,2.51,19200,46,20 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",49.5,48.5,49.1,-0.58,18000,43,18 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",49.25,47,48.32,-0.78,27200,63,23 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",55,50.5,52.65,4.33,23200,29,20 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",47.75,46.5,47.18,-5.47,13600,34,19 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",47.75,44.75,45.82,-1.36,13600,28,18

366

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

8,50.33,2.26,87200,193,30 8,50.33,2.26,87200,193,30 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45.5,48.4,-1.93,70400,154,29 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45,46.48,-1.92,62000,146,28 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",49,51.48,5,90400,108,29 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44.5,45.53,-5.95,38800,94,28

367

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1246,41247,41247,44.25,43.5,43.87,2.68,16400,29,14 1246,41247,41247,44.25,43.5,43.87,2.68,16400,29,14 "SP-15 Gen DA LMP Peak",41247,41248,41248,43,42,42.36,-1.51,36800,59,23 "SP-15 Gen DA LMP Peak",41248,41249,41249,40.25,39.75,40,-2.36,17200,24,11 "SP-15 Gen DA LMP Peak",41249,41250,41251,37,36.5,36.56,-3.44,31200,28,13 "SP-15 Gen DA LMP Peak",41250,41253,41253,41.25,40,40.84,4.28,12000,26,16 "SP-15 Gen DA LMP Peak",41253,41254,41254,39.5,38.5,39.08,-1.76,12400,26,15 "SP-15 Gen DA LMP Peak",41254,41255,41255,39.45,39,39.11,0.03,15600,26,13 "SP-15 Gen DA LMP Peak",41255,41256,41256,43.75,42,43.02,3.91,16000,32,20 "SP-15 Gen DA LMP Peak",41256,41257,41258,43,40.5,42.17,-0.85,38400,32,18 "SP-15 Gen DA LMP Peak",41257,41260,41260,42,41.5,41.62,-0.55,6400,10,11

368

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

7,49.6,0.49,22400,56,24 7,49.6,0.49,22400,56,24 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",54,56.09,6.49,29200,73,27 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",57.5,60.07,3.98,28400,71,26 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",50,55.19,-4.88,32800,41,20 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52.5,56.14,0.95,20800,52,22

369

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

084,39085,39085,43.25,43.25,43.25,-1.79,800,1,2 084,39085,39085,43.25,43.25,43.25,-1.79,800,1,2 "ERCOT-South",39086,39087,39087,42.5,42.25,42.38,-0.87,1600,2,4 "ERCOT-South",39087,39090,39090,43.25,43.25,43.25,0.87,800,1,2 "ERCOT-South",39090,39091,39091,45,45,45,1.75,800,1,2 "ERCOT-South",39091,39092,39092,44.5,44.5,44.5,-0.5,800,1,2,,,," " "ERCOT-South",39099,39100,39100,62,62,62,17.5,3200,4,6 "ERCOT-South",39100,39101,39101,56.5,56,56.17,-5.83,2400,3,5 "ERCOT-South",39101,39104,39104,55,55,55,-1.17,800,1,2 "ERCOT-South",39104,39105,39105,57.25,57,57.08,2.08,2400,3,4 "ERCOT-South",39105,39106,39106,59,58,58.54,1.46,4800,6,5 "ERCOT-South",39106,39107,39107,58,57.75,57.81,-0.73,3200,4,5 "ERCOT-South",39107,39108,39108,54.5,54.5,54.5,-3.31,800,1,2

370

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

720,38721,38721,69,68,68.6,1.54,74400,63,23 720,38721,38721,69,68,68.6,1.54,74400,63,23 "PJM Wh Real Time Peak",38721,38722,38722,74.25,69,70.77,2.17,68000,68,33 "PJM Wh Real Time Peak",38722,38723,38723,77.75,73.5,76.91,6.14,61600,70,35 "PJM Wh Real Time Peak",38723,38726,38726,74,69,70.06,-6.85,55200,57,22 "PJM Wh Real Time Peak",38726,38727,38727,63,61.75,62.52,-7.54,60800,72,29 "PJM Wh Real Time Peak",38727,38728,38728,55,51,53.51,-9.01,68800,55,30 "PJM Wh Real Time Peak",38728,38729,38729,50.5,49,49.37,-4.14,56000,55,25 "PJM Wh Real Time Peak",38729,38730,38730,50.6,49.5,50.17,0.8,54400,55,25 "PJM Wh Real Time Peak",38730,38733,38733,63.5,59,60.85,10.68,36800,37,23 "PJM Wh Real Time Peak",38733,38734,38734,65,64,64.63,3.78,12000,10,13

371

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

449,39450,39450,74,72,73,1600,2,4 449,39450,39450,74,72,73,1600,2,4 "Entergy",39450,39451,39451,64,64,64,800,1,2 "Entergy",39451,39454,39454,47.5,46.5,47,2400,3,3 "Entergy",39454,39455,39455,41.5,41,41.17,2400,3,3 "Entergy",39455,39456,39456,43,43,43,800,1,2 "Entergy",39456,39457,39457,52,49,50.33,2400,3,5 "Entergy",39457,39458,39458,49,49,49,800,1,2 "Entergy",39458,39461,39461,67,67,67,800,1,2 "Entergy",39461,39462,39462,73,73,73,800,1,2 "Entergy",39462,39463,39463,69,68,68.33,2400,3,5 "Entergy",39463,39464,39464,70,64,68,2400,3,3 "Entergy",39464,39465,39465,65,65,65,1600,2,2 "Entergy",39465,39468,39468,79,75,76.67,2400,3,5 "Entergy",39468,39469,39469,74,73,73.7,4000,5,8

372

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

8720,38721,38721,51,50,50.625,3200,4,4 8720,38721,38721,51,50,50.625,3200,4,4 "Entergy",38721,38722,38722,56.5,53.5,55.3,4000,5,7 "Entergy",38722,38723,38723,60,60,60,5600,6,5 "Entergy",38723,38726,38726,59,58,58.5,1600,2,3 "Entergy",38726,38727,38727,55.5,53,54.1,4000,5,5 "Entergy",38727,38728,38728,53.5,52,53.0938,6400,8,9 "Entergy",38728,38729,38729,49,46,47.6667,9600,11,8 "Entergy",38729,38730,38730,49,47.5,48.0417,4800,6,7 "Entergy",38730,38733,38733,54.25,54.25,54.25,800,1,2 "Entergy",38733,38734,38734,53.75,53.75,53.75,800,1,2 "Entergy",38734,38735,38735,62,58,60.1,4000,5,6 "Entergy",38735,38736,38736,60,58,58.875,4800,4,5 "Entergy",38736,38737,38737,55,50,53.1944,7200,9,8

373

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

623,37624,37624,32.5,29,30.16,20800,26,20 623,37624,37624,32.5,29,30.16,20800,26,20 "Entergy",37624,37627,37627,36.75,34.75,35.54,28800,27,18 "Entergy",37627,37628,37628,38,35.5,36.31,45600,53,26 "Entergy",37628,37629,37629,35,31.25,33.69,26400,33,21 "Entergy",37629,37630,37630,33.55,32.75,33.19,22400,26,20 "Entergy",37630,37631,37631,37.75,34.5,35.51,36000,45,24 "Entergy",37631,37634,37634,43.75,38.25,41.62,36800,46,20 "Entergy",37634,37635,37635,42.5,38,40.72,17600,22,18 "Entergy",37635,37636,37636,43,42,42.61,16800,21,17 "Entergy",37636,37637,37637,43,41.25,42.02,12000,15,15 "Entergy",37637,37638,37638,50,44.15,45.85,8800,10,13 "Entergy",37638,37641,37641,41,39.25,40.1,31200,29,16 "Entergy",37641,37642,37642,41.75,38,40.09,25600,27,15

374

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

43.75,40,42.24,2.81,10000,25,19 43.75,40,42.24,2.81,10000,25,19 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",40,38.75,39.35,-2.89,12400,31,16 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45,41.5,43.54,4.19,16000,38,20 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44,42.25,43.09,-0.45,13600,34,19 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",41.5,40,40.64,-2.45,20000,25,16 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",42.25,41,41.35,0.71,14000,34,17

375

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

6894,36895,36895,74.5,74,74.25,1600,2,3 6894,36895,36895,74.5,74,74.25,1600,2,3 "NEPOOL",36899,36900,36900,83,81,82,1600,2,3 "NEPOOL",36900,36901,36901,89,88,88.67,2400,3,3 "NEPOOL",36901,36902,36902,77.5,73,75.25,1600,2,3 "NEPOOL",36902,36903,36903,75.75,75.75,75.75,800,1,2 "NEPOOL",36903,36906,36906,75,74,74.5,2400,3,3 "NEPOOL",36906,36907,36907,80,76.5,77.75,3200,4,3 "NEPOOL",36907,36908,36908,79.5,76,78.38,3200,4,4 "NEPOOL",36908,36909,36909,75.5,74.5,75,3200,3,4 "NEPOOL",36909,36910,36910,71.75,70.75,71.25,1600,2,3 "NEPOOL",36910,36913,36913,74.75,74,74.4,4000,5,3 "NEPOOL",36914,36915,36915,67.5,66.5,67,2400,3,3 "NEPOOL",36915,36916,36916,67,65.75,66.33,2400,3,2 "NEPOOL",36916,36917,36917,65,61.25,63.38,3200,4,3

376

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1,47,48.2,3.37,9600,24,17 1,47,48.2,3.37,9600,24,17 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",56,53,55.36,7.17,9600,24,17 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",58.2,55,57.22,1.85,9200,23,17 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52.25,49,50.04,-7.18,8400,21,19 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45,43.5,44.24,-5.8,26400,28,22 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52.5,50,51.46,7.22,7600,19,15

377

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

48,45.75,46.49,-0.96,30000,63,25 48,45.75,46.49,-0.96,30000,63,25 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",47.5,45,46.75,0.26,31600,79,22 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",51,45,45.83,-0.92,40000,50,24 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",51.25,47.75,48.43,2.6,26000,51,22 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52.75,49.25,50.5,2.07,27200,68,23 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52.5,51.5,52.02,1.52,46400,55,20

378

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

62,66.21,-0.74,44400,109,30 62,66.21,-0.74,44400,109,30 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",60,64.12,-2.09,45200,113,30 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",59,60.9,-3.22,99200,123,29 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",62,63.2,2.3,50400,114,31 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",61.75,62.98,-0.22,48800,122,31

379

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

43.25,42,42.63,4.13,1600,2,4 43.25,42,42.63,4.13,1600,2,4 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",42.65,42.65,42.65,0.02,800,1,2 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45.25,44,44.86,2.21,5600,7,8 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",46.5,45.75,46.08,1.22,2400,3,6 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45,45,45,-1.08,4000,4,4 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44.75,44.75,44.75,-0.25,1600,2,4

380

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

355,38356,38356,56.85,56.25,56.7,6400,7,7 355,38356,38356,56.85,56.25,56.7,6400,7,7 "NEPOOL MH DA LMP",38356,38357,38357,55.25,55,55.0833,2400,3,3 "NEPOOL MH DA LMP",38357,38358,38358,59,59,59,800,1,2 "NEPOOL MH DA LMP",38358,38359,38359,57.5,57,57.25,2400,3,5 "NEPOOL MH DA LMP",38359,38362,38362,55.5,55.5,55.5,3200,4,6 "NEPOOL MH DA LMP",38362,38363,38363,58.75,58,58.575,9600,11,10 "NEPOOL MH DA LMP",38363,38364,38364,57.75,57.5,57.625,1600,2,4 "NEPOOL MH DA LMP",38364,38365,38365,55.75,55.25,55.4688,12800,15,11 "NEPOOL MH DA LMP",38365,38366,38366,58.5,58.25,58.4583,4800,5,6 "NEPOOL MH DA LMP",38366,38369,38369,92,85,88.7143,5600,7,8 "NEPOOL MH DA LMP",38369,38370,38370,97.5,97,97.1667,2400,3,5

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

22.6,23.25,-1.53,6400,14,16 22.6,23.25,-1.53,6400,14,16 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",18.25,18.97,-4.28,6400,8,9 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",18,19.32,0.35,5600,14,10 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",17,17.24,-2.08,7200,12,10 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",18,18.61,1.38,7200,17,17

382

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

988,37991,37991,38.5,38,38.29,10400,13,11 988,37991,37991,38.5,38,38.29,10400,13,11 "Entergy",37991,37992,37992,56,50.5,51.79,15200,19,13 "Entergy",37992,37993,37993,60,56,58.95,12000,15,9 "Entergy",37993,37994,37994,55,51,52.44,16800,21,14 "Entergy",37994,37995,37995,43,40.5,41.28,7200,9,9 "Entergy",37995,37998,37998,45,39,40.86,5600,7,8 "Entergy",37998,37999,37999,39.5,38,38.42,8000,10,7 "Entergy",37999,38000,38000,39,36,37.48,10400,12,9 "Entergy",38000,38001,38001,40.25,38,38.66,14400,17,10 "Entergy",38001,38002,38002,39,36.25,36.98,10400,12,9 "Entergy",38002,38005,38005,39,37,37.44,13600,12,9 "Entergy",38005,38006,38006,55,48,52.64,5600,7,10 "Entergy",38006,38007,38007,54,47,50.58,12000,15,11

383

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

65.25,63,64.48,0.53,9600,12,15 65.25,63,64.48,0.53,9600,12,15 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",59,57,57.68,-6.8,20000,23,13 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",58,57,57.45,-0.23,8800,9,9 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",57,55.75,56.53,-0.92,8000,10,12 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",57.5,56,56.46,-0.07,10400,13,10 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",59.25,56.75,58.09,1.63,20000,25,17

384

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

7988,37991,37991,62,62,62,800,1,2 7988,37991,37991,62,62,62,800,1,2 "NEPOOL MH DA LMP",37991,37992,37992,70,69,69.5,1600,2,2 "NEPOOL MH DA LMP",37992,37993,37993,75.25,72,73.81,3200,4,6 "NEPOOL MH DA LMP",37993,37994,37994,81,76,78.3,8000,10,11 "NEPOOL MH DA LMP",37994,37995,37995,85.75,81.5,84.24,12800,16,12 "NEPOOL MH DA LMP",37998,37999,37999,77,72.5,74.12,6400,8,9 "NEPOOL MH DA LMP",37999,38000,38000,120,92,104.81,16800,21,11 "NEPOOL MH DA LMP",38000,38001,38001,375,270,311.75,6400,8,8 "NEPOOL MH DA LMP",38001,38002,38002,175,170,171,4000,5,5 "NEPOOL MH DA LMP",38005,38006,38006,90,84,86.78,7200,9,7 "NEPOOL MH DA LMP",38006,38007,38007,94,81.5,87.42,10400,13,13 "NEPOOL MH DA LMP",38007,38008,38008,76,72,74.69,6400,8,8

385

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

31.9,30.75,31.02,,14000,34,10 31.9,30.75,31.02,,14000,34,10 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",28.85,28,28.3,-2.72,52000,59,13 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",31.5,31,31.22,2.92,20000,41,13 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",34.25,33.4,33.8,2.58,22000,47,13 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",30,29.75,29.9,-3.9,52800,54,16 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",28.25,27.85,27.95,-1.95,48000,57,11

386

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

59.05,59,59.03,2.03,1600,2,3 59.05,59,59.03,2.03,1600,2,3 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",63,63,63,3.97,800,1,2 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",62.5,60,61,-2,2400,3,6 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",63.75,63,63.32,2.32,5600,7,8 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",56,55,55.5,-7.82,3200,4,5 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",55.5,55.5,55.5,0,800,1,2

387

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

815,39818,39818,58.5,55.25,56.28,5.13,40000,45,27 815,39818,39818,58.5,55.25,56.28,5.13,40000,45,27 "PJM Wh Real Time Peak",39818,39819,39819,60.25,57.75,58.92,2.64,109600,119,41 "PJM Wh Real Time Peak",39819,39820,39820,58,55,56.66,-2.26,49600,60,29 "PJM Wh Real Time Peak",39820,39821,39821,55.55,55,55.21,-1.45,48000,56,34 "PJM Wh Real Time Peak",39821,39822,39822,63,60.75,61.9,6.69,38400,46,28 "PJM Wh Real Time Peak",39822,39825,39825,69,66,67.63,5.73,62400,74,37 "PJM Wh Real Time Peak",39825,39826,39826,66.5,61,64.03,-3.6,91200,107,40 "PJM Wh Real Time Peak",39826,39827,39827,85.5,80,82.91,18.88,103200,124,50 "PJM Wh Real Time Peak",39827,39828,39828,100,88,93.22,10.31,110400,135,51 "PJM Wh Real Time Peak",39828,39829,39829,110,93,98.58,5.36,77600,93,37

388

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

988,37991,37991,43.25,36,38.11,35200,40,16 988,37991,37991,43.25,36,38.11,35200,40,16 "PJM West",37991,37992,37992,53.5,50,51.99,33600,41,24 "PJM West",37992,37993,37993,70,66.25,67.48,34400,40,25 "PJM West",37993,37994,37994,62,59.65,60.58,36000,41,19 "PJM West",37994,37995,37995,56.75,53,54.66,32800,39,23 "PJM West",37995,37998,37998,53.75,51.25,52.44,40000,47,25 "PJM West",37998,37999,37999,54,52.55,53.14,37600,47,24 "PJM West",37999,38000,38000,65.25,61.5,63.18,30400,37,20 "PJM West",38000,38001,38001,88,77,82.58,50400,57,28 "PJM West",38001,38002,38002,90,77,80.76,31200,37,20 "PJM West",38002,38005,38005,53.25,52.75,53.03,30400,38,18 "PJM West",38005,38006,38006,70,67,68.64,36000,45,24

389

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

150,150,,400,1,2 150,150,,400,1,2 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",180,180,30,2400,3,4 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",310,310,130,400,1,2 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",350,350,40,400,1,2 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",165,165,-185,800,1,2

390

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1246,41247,41247,27.5,27.5,27.5,0.17,800,1,2 1246,41247,41247,27.5,27.5,27.5,0.17,800,1,2 "Entergy Peak",41247,41248,41248,28.5,28.5,28.5,1,800,1,2 "Entergy Peak",41248,41249,41249,30,30,30,1.5,800,1,2 "Entergy Peak",41250,41253,41253,30,29,29.5,-0.5,1600,2,3 "Entergy Peak",41253,41254,41254,30,29.75,29.88,0.38,1600,2,2 "Entergy Peak",41254,41255,41255,29.75,29.75,29.75,-0.13,800,1,2 "Entergy Peak",41269,41270,41270,32,32,32,2.25,1600,2,2 "Entergy Peak",41355,41358,41358,38.5,38.5,38.5,6.5,800,1,2 "Entergy Peak",41367,41368,41368,35,35,35,-3.5,800,1,2 "Entergy Peak",41425,41428,41428,37,37,37,2,800,1,2 "Entergy Peak",41436,41437,41437,42,42,42,5,800,1,2 "Entergy Peak",41446,41449,41449,41,41,41,-1,800,1,2

391

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

32.5,33.04,-3.33,15200,19,19 32.5,33.04,-3.33,15200,19,19 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",37,37.32,4.28,7600,19,18 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",35,35.46,-1.86,9600,24,22 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",37,38.66,3.2,14800,36,27 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39.75,40.34,1.69,9200,23,22

392

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

0911,40912,40912,27,26.5,26.83,-2.17,8800,11,6 0911,40912,40912,27,26.5,26.83,-2.17,8800,11,6 "ERCOT Houston",40912,40913,40913,28.3,28,28.18,1.35,4800,6,7 "ERCOT Houston",40913,40914,40914,26.35,26.2,26.29,-1.89,3200,4,6 "ERCOT Houston",40914,40917,40917,27.25,27,27.13,0.84,8000,10,5 "ERCOT Houston",40917,40918,40918,27.75,27.5,27.58,0.45,2400,3,3 "ERCOT Houston",40918,40919,40919,27.5,27.5,27.5,-0.08,1600,2,2 "ERCOT Houston",40919,40920,40920,31.5,31,31.33,3.83,2400,3,4 "ERCOT Houston",40920,40921,40921,31,30.25,30.5,-0.83,2400,2,4 "ERCOT Houston",40925,40926,40926,26,25.75,25.96,-4.54,5600,7,4 "ERCOT Houston",40926,40927,40927,23.75,23.75,23.75,-2.21,2400,3,5 "ERCOT Houston",40928,40931,40931,22.15,22.15,22.15,-1.6,800,1,2

393

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

258,37259,37259,26,22.95,24.08,51200,64,19 258,37259,37259,26,22.95,24.08,51200,64,19 "Entergy",37259,37260,37260,28.25,24.5,26.09,38400,47,17 "Entergy",37260,37263,37263,22.5,17,20.72,34400,43,16 "Entergy",37263,37264,37264,25,19,20.17,19200,24,15 "Entergy",37264,37265,37265,20,19,19.55,44000,54,19 "Entergy",37265,37266,37266,23,18.75,19.31,50400,62,18 "Entergy",37266,37267,37267,19,15,18.21,45600,56,18 "Entergy",37267,37270,37270,18.85,17.4,18.21,65600,81,17 "Entergy",37270,37271,37271,21.75,18.2,19.01,24800,28,18 "Entergy",37271,37272,37272,22.35,18.95,20.98,31200,38,16 "Entergy",37272,37273,37273,22,19,21.2,49600,62,22 "Entergy",37273,37274,37274,22.5,19.5,20.93,46400,55,20 "Entergy",37274,37277,37277,19.75,18.75,19.26,36000,45,18

394

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

6893,36894,36894,83,83,83,800,1,2 6893,36894,36894,83,83,83,800,1,2 "Entergy",36894,36895,36895,93,93,93,800,1,2 "Entergy",36895,36896,36896,83,78.5,80.83,7200,9,4 "Entergy",36896,36899,36899,78,67,74.25,3200,4,5 "Entergy",36899,36900,36900,57,54,55.5,1600,2,4 "Entergy",36900,36901,36901,53,53,53,1600,1,2 "Entergy",36902,36903,36903,67.5,65,66.5,4000,5,3 "Entergy",36903,36906,36906,52.5,48,50.25,1600,2,3 "Entergy",36907,36908,36908,52,45,48.86,8800,11,4 "Entergy",36908,36909,36909,56,51,51.95,16800,21,6 "Entergy",36909,36910,36910,50,48.5,49.33,24000,30,7 "Entergy",36910,36913,36913,56.5,54,55.25,11200,13,7 "Entergy",36913,36914,36914,63,57,58.38,6400,8,3 "Entergy",36914,36915,36915,61.5,42,55.75,15200,19,9

395

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

449,39450,39450,180,158,161.65,26400,33,22 449,39450,39450,180,158,161.65,26400,33,22 "NEPOOL MH DA LMP",39450,39451,39451,123,108,114.27,36800,46,28 "NEPOOL MH DA LMP",39451,39454,39454,77,75.5,76.31,21600,26,17 "NEPOOL MH DA LMP",39454,39455,39455,68.25,66,67.1,41600,51,26 "NEPOOL MH DA LMP",39455,39456,39456,69.5,68,68.71,21600,27,18 "NEPOOL MH DA LMP",39456,39457,39457,81,74,75.75,30400,35,17 "NEPOOL MH DA LMP",39457,39458,39458,75,69.75,71.18,24800,31,19 "NEPOOL MH DA LMP",39458,39461,39461,80.5,77,79.38,17600,19,17 "NEPOOL MH DA LMP",39461,39462,39462,102,95,98.76,52000,64,24 "NEPOOL MH DA LMP",39462,39463,39463,90.5,87.5,88.59,34400,43,25 "NEPOOL MH DA LMP",39463,39464,39464,85,83.5,84.21,20800,26,14

396

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

815,39818,39818,43,42.5,42.75,5.17,1600,2,4 815,39818,39818,43,42.5,42.75,5.17,1600,2,4 "ERCOT-South",39818,39819,39819,40,39.5,39.88,-2.87,3200,4,3," " "ERCOT-South",39819,39820,39820,39,38,38.73,-1.15,8800,9,9 "ERCOT-South",39820,39821,39821,41.5,39,39.82,1.09,8800,11,9 "ERCOT-South",39821,39822,39822,38.75,37.5,38.03,-1.79,6400,8,10 "ERCOT-South",39822,39825,39825,43.5,43.5,43.5,5.47,800,1,2 "ERCOT-South",39825,39826,39826,55,50.5,52.95,9.45,8800,11,12,,," " "ERCOT-South",39826,39827,39827,45.5,43.5,44.44,-8.51,14400,18,18 "ERCOT-South",39827,39828,39828,45,44.25,44.68,0.24,12000,14,12 "ERCOT-South",39828,39829,39829,44,42.75,43.18,-1.5,8000,10,10 "ERCOT-South",39833,39834,39834,33,32.5,32.75,-10.43,9600,12,8

397

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

54.5,53.4,53.98,5.44,3200,4,7 54.5,53.4,53.98,5.44,3200,4,7 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",49,47.25,48.27,-5.71,8000,10,12 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",56,53.5,54.75,6.48,4800,6,10 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",97,87,89.96,35.21,20800,18,16 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",56.25,51,53.71,-36.25,16800,19,15 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",46.75,46,46.33,-7.38,17600,22,17

398

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

Nepool MH Da Lmp ",39815,39818,39818,65.55,65,65.44,-5.89,12000,15,9 Nepool MH Da Lmp ",39815,39818,39818,65.55,65,65.44,-5.89,12000,15,9 "Nepool MH Da Lmp",39818,39819,39819,67,65,66.22,0.78,39200,46,22 "Nepool MH Da Lmp ",39819,39820,39820,65,63.25,63.83,-2.39,20000,24,18 "Nepool MH Da Lmp ",39820,39821,39821,67.5,65.75,66.47,2.64,28000,33,16 "Nepool MH Da Lmp ",39821,39822,39822,78.5,76,77.31,10.84,21600,27,16 "Nepool MH Da Lmp ",39822,39825,39825,100,90,94.19,16.88,28800,35,19 "Nepool MH Da Lmp ",39825,39826,39826,81,72.75,74.76,-19.43,36000,44,24 "Nepool MH Da Lmp ",39826,39827,39827,101,98,99.83,25.07,16000,20,18 "Nepool MH Da Lmp",39827,39828,39828,130,117,120.32,20.49,40000,50,27 "Nepool MH Da Lmp ",39828,39829,39829,120,106,109.76,-10.56,72800,91,35

399

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

SP 15",39449,39450,39450,74.6,69.25,73.56,97200,234,36 SP 15",39449,39450,39450,74.6,69.25,73.56,97200,234,36 "SP 15",39450,39451,39452,70,63,68.49,291200,275,37 "SP 15",39451,39454,39454,75,68,69.2,140000,326,39 "SP 15",39454,39455,39455,73.25,69,71.52,144800,329,37 "SP 15",39455,39456,39456,72.25,70.25,71.32,198000,425,35 "SP 15",39456,39457,39457,73.75,70.75,72.79,157600,351,37 "SP 15",39457,39458,39459,70.25,67.25,68.46,226400,268,33 "SP 15",39458,39461,39461,75,73.25,73.77,184000,366,38 "SP 15",39461,39462,39462,78.25,75,75.77,110800,235,34 "SP 15",39462,39463,39464,88,77.5,79.42,323200,351,36 "SP 15",39463,39465,39466,79,74.25,77.52,259200,302,36 "SP 15",39464,39468,39468,84.45,77,82.35,126400,287,36

400

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

54.55,54.05,54.37,1.9,8800,20,11 54.55,54.05,54.37,1.9,8800,20,11 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",53.25,52.75,53.09,-1.28,35200,64,16 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52,51.25,51.51,-1.58,13600,28,17 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",56.5,53.25,54.08,2.57,65600,71,17 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",51.15,50.8,51.01,-3.07,27600,53,19 "NP15","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",50.75,50,50.18,-0.83,23200,39,11

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

084,39085,39085,62,55,55.98,10400,13,10 084,39085,39085,62,55,55.98,10400,13,10 "NEPOOL MH DA LMP",39085,39086,39086,54.75,52.75,53.53,30400,38,20 "NEPOOL MH DA LMP",39086,39087,39087,56,55,55.35,24800,31,19 "NEPOOL MH DA LMP",39087,39090,39090,58,56.5,57.08,8000,10,12 "NEPOOL MH DA LMP",39090,39091,39091,58.75,57.25,57.86,34400,41,19 "NEPOOL MH DA LMP",39091,39092,39092,60.5,59,59.8,20800,25,19 "NEPOOL MH DA LMP",39092,39093,39093,65,63.5,64.04,13600,16,15 "NEPOOL MH DA LMP",39093,39094,39094,61.25,59.75,60.82,15200,19,14 "NEPOOL MH DA LMP",39094,39097,39097,62,59,60.95,16800,21,16 "NEPOOL MH DA LMP",39097,39098,39098,69.25,67,68.25,22400,28,15 "NEPOOL MH DA LMP",39098,39099,39099,89,84.5,86.33,34400,43,26

402

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

53.5,48,50.93,,13600,17,11 53.5,48,50.93,,13600,17,11 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",57.5,52.75,55,4.07,31200,39,15 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",51.5,49.5,50.38,-4.62,3200,4,4 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",52,49.5,51.25,0.87,19200,24,12 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",46.75,45.25,45.8,-5.45,21600,27,14 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",43,39.5,41.3,-4.5,10400,13,8

403

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1246,41247,41247,28.5,26.5,27.76,-0.16,63200,141,25 1246,41247,41247,28.5,26.5,27.76,-0.16,63200,141,25 "Mid Columbia Peak",41247,41248,41248,28.5,27,27.86,0.1,79200,187,26 "Mid Columbia Peak",41248,41249,41249,28,23.5,27.02,-0.84,76000,170,25 "Mid Columbia Peak",41249,41250,41251,23.25,21.25,22.44,-4.58,159200,191,23 "Mid Columbia Peak",41250,41253,41253,25.25,21.25,23.45,1.01,74800,176,25 "Mid Columbia Peak",41253,41254,41254,23.75,20.75,22.51,-0.94,92800,209,26 "Mid Columbia Peak",41254,41255,41255,24.5,23,23.84,1.33,100800,222,27 "Mid Columbia Peak",41255,41256,41256,28,25.5,26.88,3.04,80800,182,26 "Mid Columbia Peak",41256,41257,41258,27.75,26.5,27.13,0.25,152000,171,25 "Mid Columbia Peak",41257,41260,41260,25.75,23.25,24.43,-2.7,76000,180,25

404

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

38.75,37.25,37.95,-2.02,13600,17,14 38.75,37.25,37.95,-2.02,13600,17,14 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",43.5,40,42.39,4.44,10000,25,20 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39.5,37.75,38.26,-4.13,9200,23,15 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",40.25,37.25,38.46,0.2,7600,19,14 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",41,38,38.93,0.47,9200,23,15 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",38.25,36.5,37.29,-1.64,13600,17,17

405

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

623,37624,37624,37.45,33.75,35.69,28800,36,19 623,37624,37624,37.45,33.75,35.69,28800,36,19 "PJM West",37624,37627,37627,48,47,47.58,28800,32,20 "PJM West",37627,37628,37628,50.5,48,49.53,33600,42,19 "PJM West",37628,37629,37629,47,44.25,45.39,35200,44,20 "PJM West",37629,37630,37630,39,37,37.73,27200,33,19 "PJM West",37630,37631,37631,43.5,41.75,42.44,25600,27,17 "PJM West",37631,37634,37634,64,56.5,58.31,20800,26,19 "PJM West",37634,37635,37635,56,54.8,55.52,19200,24,19 "PJM West",37635,37636,37636,56.5,54.9,55.51,28000,33,19 "PJM West",37636,37637,37637,53,50.25,51.89,32000,40,22 "PJM West",37637,37638,37638,54,52,52.63,30400,38,23 "PJM West",37638,37641,37641,48.25,47,47.48,26400,33,17

406

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

258,37259,37259,33.75,32.5,33.23,10400,13,12 258,37259,37259,33.75,32.5,33.23,10400,13,12 "NEPOOL",37259,37260,37260,36.25,35,35.98,24800,31,18 "NEPOOL",37260,37263,37263,34,33.25,33.66,8800,11,12 "NEPOOL",37263,37264,37264,34,33.5,33.67,10400,13,11 "NEPOOL",37264,37265,37265,32.6,31,32.04,9600,11,13 "NEPOOL",37265,37266,37266,29.5,28.7,29.1,10400,13,11 "NEPOOL",37266,37267,37267,29.25,28.25,28.75,12000,15,12 "NEPOOL",37267,37270,37270,31,30,30.24,16800,17,13 "NEPOOL",37270,37271,37271,30.5,29.75,30.09,30400,36,15 "NEPOOL",37271,37272,37272,29.5,28.65,28.98,23200,28,15 "NEPOOL",37272,37273,37273,30.4,29.8,30.02,32800,39,16 "NEPOOL",37273,37274,37274,30,29.1,29.37,11200,14,15 "NEPOOL",37274,37277,37277,30,29.25,29.72,6400,8,9

407

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

182,40183,40183,89,82.75,86.08,20.49,214400,242,55 182,40183,40183,89,82.75,86.08,20.49,214400,242,55 "PJM Wh Real Time Peak",40183,40184,40184,80.65,74.5,77.16,-8.92,270400,295,56 "PJM Wh Real Time Peak",40184,40185,40185,80.5,77.5,78.92,1.76,93600,111,47 "PJM Wh Real Time Peak",40185,40186,40186,86,78.25,80.64,1.72,278400,316,62 "PJM Wh Real Time Peak",40186,40189,40189,82.75,72,80.64,0,81600,98,36 "PJM Wh Real Time Peak",40189,40190,40190,73,65.75,67.86,-12.78,178400,205,50 "PJM Wh Real Time Peak",40190,40191,40191,55.25,53,53.89,-13.97,162400,180,50 "PJM Wh Real Time Peak",40191,40192,40192,49.75,48,48.84,-5.05,97600,109,45 "PJM Wh Real Time Peak",40192,40193,40193,46.25,43.5,44.65,-4.19,99200,117,46 "PJM Wh Real Time Peak",40193,40196,40196,46,44.95,45.38,0.73,59200,71,35

408

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

8721,38722,38722,57.5,57.5,57.5,-22.5,800,1,2 8721,38722,38722,57.5,57.5,57.5,-22.5,800,1,2 "ERCOT-South",38748,38749,38749,57,57,57,-0.5,800,1,2 "ERCOT-South",38751,38754,38754,59,59,59,2,1600,2,3 "ERCOT-South",38786,38789,38789,48,48,48,-11,800,1,2 "ERCOT-South",38803,38804,38804,52.5,50.5,51.06,3.06,6400,8,7 "ERCOT-South",38804,38805,38805,54.75,54.75,54.75,3.69,3200,2,3 "ERCOT-South",38805,38806,38806,55.25,53.5,54.21,-0.54,4800,6,5 "ERCOT-South",38806,38807,38807,58,58,58,3.79,800,1,2,,,,," " "ERCOT-South",38810,38811,38811,60,60,60,2,800,1,2 "ERCOT-South",38811,38812,38812,64,64,64,4,800,1,2 "ERCOT-South",38812,38813,38813,63,62.5,62.63,-1.37,3200,4,6 "ERCOT-South",38813,38814,38814,62,62,62,-0.63,800,1,2

409

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

546,40547,40547,51,47.5,48.71,-0.32,96800,116,39 546,40547,40547,51,47.5,48.71,-0.32,96800,116,39 "PJM Wh Real Time Peak",40547,40548,40548,49.25,47.45,48.14,-0.57,64000,67,40 "PJM Wh Real Time Peak",40548,40549,40549,53.5,51.5,52.27,4.13,55200,66,37 "PJM Wh Real Time Peak",40549,40550,40550,60.5,57,58.43,6.16,80000,93,39 "PJM Wh Real Time Peak",40550,40553,40553,63.5,57,60.43,2,105600,124,41 "PJM Wh Real Time Peak",40553,40554,40554,69.5,64.25,66.98,6.55,128800,145,44 "PJM Wh Real Time Peak",40554,40555,40555,72.25,62,67.54,0.56,158400,194,51 "PJM Wh Real Time Peak",40555,40556,40556,84,75,80.13,12.59,92800,116,46 "PJM Wh Real Time Peak",40556,40557,40557,89.5,80.5,84.09,3.96,108800,133,42 "PJM Wh Real Time Peak",40557,40560,40560,57.55,55,56.11,-27.98,88800,105,40

410

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

40182,40183,40183,52.5,51.5,51.85,0.9,67600,116,25 40182,40183,40183,52.5,51.5,51.85,0.9,67600,116,25 "SP-15 Gen DA LMP Peak",40183,40184,40184,51.75,50.5,51.01,-0.84,61600,115,25 "SP-15 Gen DA LMP Peak",40184,40185,40185,53,50.5,51.39,0.38,59600,115,24 "SP-15 Gen DA LMP Peak",40185,40186,40187,58.5,55,56.79,5.4,394400,381,29 "SP-15 Gen DA LMP Peak",40186,40189,40189,51.25,50.75,51,-5.79,59200,116,26 "SP-15 Gen DA LMP Peak",40189,40190,40190,50.25,49,49.8,-1.2,53600,102,25 "SP-15 Gen DA LMP Peak",40190,40191,40192,51.5,50.75,51.12,1.32,59200,61,19 "SP-15 Gen DA LMP Peak",40191,40193,40194,49,48.25,48.35,-2.77,77600,71,20 "SP-15 Gen DA LMP Peak",40192,40196,40196,50.5,50,50.3,1.95,38800,71,18 "SP-15 Gen DA LMP Peak",40193,40197,40197,51.35,50,50.93,0.63,66800,84,19

411

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

084,39085,39085,43,43,43,4800,6,6 084,39085,39085,43,43,43,4800,6,6 "Entergy",39085,39086,39086,40,34,38.3,4000,5,6 "Entergy",39086,39087,39087,38,37,37.5,1600,2,2 "Entergy",39087,39090,39090,41,41,41,800,1,2 "Entergy",39090,39091,39091,49,46,48.14,5600,6,6 "Entergy",39091,39092,39092,48,48,48,2400,3,4 "Entergy",39092,39093,39093,49,47,48,1600,2,3 "Entergy",39093,39094,39094,45,44,44.5,1600,2,4 "Entergy",39094,39097,39097,51,47,49.33,2400,3,5 "Entergy",39097,39098,39098,58.5,53.5,56.06,6400,8,8 "Entergy",39098,39099,39099,62,56,58.97,7200,9,9 "Entergy",39099,39100,39100,54.5,53,53.6,4000,5,5 "Entergy",39100,39101,39101,50.75,50,50.15,4000,5,9 "Entergy",39101,39104,39104,55,53,54,2400,3,3

412

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

546,40547,40547,55.25,54,54.67,7.01,27200,29,18 546,40547,40547,55.25,54,54.67,7.01,27200,29,18 "Nepool MH DA LMP",40547,40548,40548,50,48.75,49.39,-5.28,14400,16,14 "Nepool MH DA LMP",40548,40549,40549,54.25,53,53.44,4.05,24800,31,23 "Nepool MH DA LMP",40549,40550,40550,55.5,53.25,54.05,0.61,84800,80,24 "Nepool MH DA LMP",40550,40553,40553,65.5,64.75,65.01,10.96,21600,25,18 "Nepool MH DA LMP",40553,40554,40554,71,68.5,69.33,4.32,15200,18,17 "Nepool MH DA LMP",40554,40555,40555,79,72,77.51,8.18,68800,85,29 "Nepool MH DA LMP",40555,40556,40556,100.5,88,94.96,17.45,40000,49,23 "Nepool MH DA LMP",40556,40557,40557,92.25,87,87.7,-7.26,25600,31,23 "Nepool MH DA LMP",40557,40560,40560,66,63.5,65.03,-22.67,28000,30,17

413

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

355,38356,38356,41,39,40.13,6.73,12000,14,13 355,38356,38356,41,39,40.13,6.73,12000,14,13 "PJM Wh Real Time Peak",38356,38357,38357,41,40,40.57,0.44,13600,15,15 "PJM Wh Real Time Peak",38357,38358,38358,44,42,43.23,2.66,30400,35,16 "PJM Wh Real Time Peak",38358,38359,38359,46.25,44,45.07,1.84,17600,22,12 "PJM Wh Real Time Peak",38359,38362,38362,39.5,38.75,39.17,-5.9,9600,12,11 "PJM Wh Real Time Peak",38362,38363,38363,45,41.5,43.31,4.14,26400,32,17 "PJM Wh Real Time Peak",38363,38364,38364,44,41.25,41.8,-1.51,16000,19,15 "PJM Wh Real Time Peak",38364,38365,38365,39.5,38.5,39.1,-2.7,10400,13,13 "PJM Wh Real Time Peak",38365,38366,38366,51.5,47,48.26,9.16,57600,58,17 "PJM Wh Real Time Peak",38366,38369,38369,65,63,63.48,15.22,23200,21,14

414

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

34.5,34.5,34.5,3.21,1600,2,3 34.5,34.5,34.5,3.21,1600,2,3 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",35.75,35.5,35.58,1.08,2400,3,4 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",36.5,36,36.25,0.67,4000,5,7 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",36.25,36,36.13,-0.12,3200,4,4 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44,43.5,43.75,7.62,3200,4,6 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44.25,43.75,44.04,0.29,5600,7,8

415

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

0911,40912,40912,27,26.5,26.63,-2.76,6400,8,6 0911,40912,40912,27,26.5,26.63,-2.76,6400,8,6 "ERCOT-South",40912,40913,40913,28,27.25,27.72,1.09,8000,9,7 "ERCOT-South",40913,40914,40914,25.75,25.75,25.75,-1.97,2400,3,4 "ERCOT-South",40914,40917,40917,27,27,27,1.25,1600,2,4 "ERCOT-South",40919,40920,40920,31,31,31,4,800,1,2 "ERCOT-South",40920,40921,40921,30.25,30.25,30.25,-0.75,800,1,2 "ERCOT-South",40925,40926,40926,25.5,25.5,25.5,-4.75,800,1,2 "ERCOT-South",40926,40927,40927,23.25,23.25,23.25,-2.25,800,1,2 "ERCOT-South",40931,40932,40932,24.5,24.5,24.5,1.25,800,1,2 "ERCOT-South",40932,40933,40933,26,25.75,25.96,1.46,4800,6,4 "ERCOT-South",40933,40934,40934,28,27,27.5,1.54,1600,2,4 "ERCOT-South",40934,40935,40935,29,28.75,28.88,1.38,1600,2,4

416

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

68.5,66,67.29,5.05,28400,71,21 68.5,66,67.29,5.05,28400,71,21 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65,62.5,63.85,-3.44,27200,66,25 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65.25,61.75,63.39,-0.46,80800,99,26 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65.75,63.5,64.58,1.19,49200,107,25 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65.75,64,64.98,0.4,32400,81,24 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65.25,62.25,63.26,-1.72,78400,96,25

417

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

65.75,63,64.97,4.97,29600,55,25 65.75,63,64.97,4.97,29600,55,25 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",62.25,59,61.4,-3.57,106400,109,24 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",63,59.25,60.22,-1.18,45600,102,26 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",63.5,61.75,62.26,2.04,40400,86,26 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",64.2,62,62.52,0.26,38400,75,25 "Palo Verde","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",66.45,62,63.19,0.67,45200,87,27

418

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

PJM-West Real Time Peak",41276,41277,41277,44,41.75,42.64,-6.4,60000,72,34 PJM-West Real Time Peak",41276,41277,41277,44,41.75,42.64,-6.4,60000,72,34 "PJM-West Real Time Peak",41277,41278,41278,37,36,36.53,-6.11,19200,23,23 "PJM-West Real Time Peak",41278,41281,41281,36.5,36,36.17,-0.36,41600,48,32 "PJM-West Real Time Peak",41281,41282,41282,33.05,32.5,32.61,-3.56,20800,26,18 "PJM-West Real Time Peak",41282,41283,41283,33.75,32.5,32.91,0.3,37600,43,30 "PJM-West Real Time Peak",41283,41284,41284,31,30.25,30.64,-2.27,26400,31,26 "PJM-West Real Time Peak",41284,41285,41285,29.9,29.25,29.66,-0.98,38400,26,23 "PJM-West Real Time Peak",41285,41288,41288,32.5,31.5,32.14,2.48,40000,50,28 "PJM-West Real Time Peak",41288,41289,41289,37.5,34.5,36.5,4.36,64800,74,35

419

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

SP-15 Gen DA LMP Peak",39904,39905,39905,30.85,30,30.44,"na",69200,129,16 SP-15 Gen DA LMP Peak",39904,39905,39905,30.85,30,30.44,"na",69200,129,16 "SP-15 Gen DA LMP Peak",39905,39906,39907,28.7,27.5,28.03,-2.41,119200,103,17 "SP-15 Gen DA LMP Peak",39906,39909,39909,31.5,30.25,30.5,2.47,43200,89,17 "SP-15 Gen DA LMP Peak",39909,39910,39910,33.3,32.45,32.83,2.33,40800,80,20 "SP-15 Gen DA LMP Peak",39910,39911,39912,29,28,28.69,-4.14,116000,117,22 "SP-15 Gen DA LMP Peak",39911,39913,39914,27.25,26.55,26.88,-1.81,96800,110,21 "SP-15 Gen DA LMP Peak",39912,39916,39916,28.5,27.5,28.01,1.13,58000,119,19 "SP-15 Gen DA LMP Peak",39916,39917,39917,26.65,25,26.27,-1.74,26400,51,17 "SP-15 Gen DA LMP Peak",39917,39918,39918,28.25,27.7,27.97,1.7,55600,101,20

420

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

43,39.05,41.9,4.15,5600,7,8 43,39.05,41.9,4.15,5600,7,8 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",40.5,38.5,39.53,-2.37,3200,4,7 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39.25,38.25,38.9,-0.63,13600,17,15 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",41.5,39,40,1.1,10400,13,11 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39,37.75,38.3,-1.7,12000,14,15 "ERCOT Houston","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44.5,43,43.4,5.1,4000,5,5

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

62.5,65.15,3.64,62800,150,34 62.5,65.15,3.64,62800,150,34 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",54.25,61.54,-3.61,153600,172,34 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",60.5,62.02,0.48,81200,188,36 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",61.75,62.73,0.71,69600,168,34 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",62.75,63.47,0.74,74400,170,34

422

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1,45.5,-0.2,22800,57,25 1,45.5,-0.2,22800,57,25 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",43.5,45.44,-0.06,96000,198,32 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",42.25,43.27,-2.17,89600,210,33 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",39,42.7,-0.57,118400,261,35 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",42.5,43.86,1.16,169600,196,33

423

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

40182,40183,40183,60.5,60.5,60.5,7.5,800,1,2 40182,40183,40183,60.5,60.5,60.5,7.5,800,1,2 "Entergy Peak",40183,40184,40184,62.25,62.25,62.25,1.75,800,1,2 "Entergy Peak",40189,40190,40190,63.5,60.75,62.42,0.17,2400,3,3 "Entergy Peak",40190,40191,40191,46,45,45.5,-16.92,1600,2,2 "Entergy Peak",40196,40197,40197,40,40,40,-5.5,800,1,2 "Entergy Peak",40197,40198,40198,40,40,40,0,800,1,2 "Entergy Peak",40198,40199,40199,38,38,38,-2,800,1,2 "Entergy Peak",40199,40200,40200,38,38,38,0,800,1,2 "Entergy Peak",40204,40205,40205,47,47,47,9,800,1,2 "Entergy Peak",40205,40206,40206,45,45,45,-2,800,1,2 "Entergy Peak",40206,40207,40207,48,48,48,3,800,1,2 "Entergy Peak",40210,40211,40211,43,43,43,-5,800,1,2

424

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

449,39450,39450,131,114,125.81,37.67,95200,116,49 449,39450,39450,131,114,125.81,37.67,95200,116,49 "PJM Wh Real Time Peak",39450,39451,39451,106,99,102.43,-23.38,78400,96,39 "PJM Wh Real Time Peak",39451,39454,39454,54,52.5,53.44,-48.99,65600,74,34 "PJM Wh Real Time Peak",39454,39455,39455,45,41,42.69,-10.75,87200,98,48 "PJM Wh Real Time Peak",39455,39456,39456,47.5,45,46.31,3.62,47200,57,36 "PJM Wh Real Time Peak",39456,39457,39457,59.5,54.25,57.53,11.22,35200,44,34 "PJM Wh Real Time Peak",39457,39458,39458,51,46.25,48.3,-9.23,72800,88,51 "PJM Wh Real Time Peak",39458,39461,39461,76.5,70,74.88,26.58,103200,121,42 "PJM Wh Real Time Peak",39461,39462,39462,80,75.5,77.94,3.06,109600,127,40 "PJM Wh Real Time Peak",39462,39463,39463,72,68,70.47,-7.47,78400,95,35

425

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

911,40912,40912,56,52,53.84,-11.87,161600,191,55 911,40912,40912,56,52,53.84,-11.87,161600,191,55 "PJM Wh Real Time Peak",40912,40913,40913,39,38,38.7,-15.14,45600,54,30 "PJM Wh Real Time Peak",40913,40914,40914,33.25,33,33.05,-5.65,42400,53,33 "PJM Wh Real Time Peak",40914,40917,40917,37.25,36.5,36.8,3.75,43200,51,34 "PJM Wh Real Time Peak",40917,40918,40918,36,35.25,35.53,-1.27,48000,57,31 "PJM Wh Real Time Peak",40918,40919,40919,35,34.2,34.6,-0.93,32000,40,28 "PJM Wh Real Time Peak",40919,40920,40920,35.5,35,35.14,0.54,43200,48,27 "PJM Wh Real Time Peak",40920,40921,40921,40.75,38.6,39.44,4.3,108000,111,39 "PJM Wh Real Time Peak",40921,40924,40924,43.5,41.6,42.69,3.25,61600,74,39 "PJM Wh Real Time Peak",40924,40925,40925,35.25,34.5,34.68,-8.01,36000,44,23

426

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

Da LMP Peak",41246,41247,41247,48,45.75,47.16,-7.85,40000,48,21 Da LMP Peak",41246,41247,41247,48,45.75,47.16,-7.85,40000,48,21 "Nepool MH Da LMP Peak",41247,41248,41248,58.5,55,57.81,10.65,26400,32,21 "Nepool MH Da LMP Peak",41248,41249,41249,79.75,75,76.49,18.68,32800,39,18 "Nepool MH Da LMP Peak",41249,41250,41250,65,50.5,51.47,-25.02,35200,42,23 "Nepool MH Da LMP Peak",41250,41253,41253,47,45.5,46.48,-4.99,12800,16,14 "Nepool MH Da LMP Peak",41253,41254,41254,50,46,47.3,0.82,38400,44,22 "Nepool MH Da LMP Peak",41254,41255,41255,70,57,59.54,12.24,39200,49,19 "Nepool MH Da LMP Peak",41255,41256,41256,50,48.25,48.97,-10.57,53600,59,29 "Nepool MH Da LMP Peak",41256,41257,41257,39.25,38.5,38.98,-9.99,11200,14,10 "Nepool MH Da LMP Peak",41257,41260,41260,45,45,45,6.02,3200,4,6

427

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

82,75,79.66,6.43,30400,38,26 82,75,79.66,6.43,30400,38,26 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",62,58,60.11,-19.55,24000,30,22 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45.05,43.75,44.81,-15.3,24000,28,17 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",38,36,36.89,-7.92,35200,39,17 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",44,41.5,42.84,5.95,32000,39,23 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",48,44,46.44,3.6,22400,28,20

428

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

46,48.6,-4.22,46000,115,33 46,48.6,-4.22,46000,115,33 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",46.5,49.21,0.61,51600,120,30 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",45.75,46.71,-2.5,123200,150,36 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",46.5,49.35,2.64,63600,151,36 "Mid Columbia Peak","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",47.3,49.44,0.09,65600,163,34

429

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

39815,39818,39818,42,39,41,4.5,2400,3,4 39815,39818,39818,42,39,41,4.5,2400,3,4 "Entergy Peak",39818,39819,39819,44.5,44.5,44.5,3.5,800,1,2 "Entergy Peak",39819,39820,39820,44.5,44,44.25,-0.25,1600,2,4 "Entergy Peak",39820,39821,39821,46,45,45.5,1.25,2400,3,6 "Entergy Peak",39821,39822,39822,45,45,45,-0.5,800,1,2 "Entergy Peak",39822,39825,39825,45,40,42.5,-2.5,1600,2,3 "Entergy Peak",39825,39826,39826,48,48,48,5.5,1600,2,3 "Entergy Peak",39827,39828,39828,55,53,54,6,1600,2,4 "Entergy Peak",39828,39829,39829,56,53,54.33,0.33,2400,3,5 "Entergy Peak",39832,39833,39833,42.5,42.5,42.5,-11.83,800,1,2 "Entergy Peak",39833,39834,39834,43,42,42.5,0,1600,2,4 "Entergy Peak",39836,39839,39839,40,38,39,-3.5,1600,2,3

430

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

1246,41247,41247,30,30,30,-2.63,1600,2,2 1246,41247,41247,30,30,30,-2.63,1600,2,2 "ERCOT Houston",41250,41253,41253,33,33,33,3,800,1,2 "ERCOT Houston",41260,41261,41261,27,26.9,26.98,-6.02,4000,5,4 "ERCOT Houston",41263,41264,41264,28.5,28.25,28.33,1.35,2400,3,4 "ERCOT Houston",41270,41271,41271,26.5,26.5,26.5,-1.83,800,1,2 "ERCOT Houston",41288,41289,41289,34.25,34,34.13,7.63,1600,2,3 "ERCOT Houston",41289,41290,41290,33.85,33.75,33.78,-0.35,2400,3,4 "ERCOT Houston",41338,41339,41339,34.75,34.25,34.58,0.8,2400,3,3 "ERCOT Houston",41372,41373,41373,42.75,42.75,42.75,8.17,800,1,2 "ERCOT Houston",41381,41382,41382,35.55,35.55,35.55,-7.2,800,1,2 "ERCOT Houston",41386,41387,41387,37.5,37.5,37.5,1.95,800,1,2

431

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

60.75,57.5,59.33,7.47,34400,42,23 60.75,57.5,59.33,7.47,34400,42,23 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",58.5,55,56.62,-2.71,36800,45,25 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",65,62.25,63.61,6.99,76000,86,34 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",66.5,60,63.84,0.23,43200,52,26 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",58.5,55,57.1,-6.74,36000,41,21 "Indiana","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel",48,44,46.02,-11.08,33600,42,27

432

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Companies"  

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

546,40547,40547,37,37,37,0,800,1,2 546,40547,40547,37,37,37,0,800,1,2 "Entergy Peak",40547,40548,40548,36,36,36,-1,800,1,2 "Entergy Peak",40548,40549,40549,33.75,33.75,33.75,-2.25,1600,2,2 "Entergy Peak",40550,40553,40553,42,42,42,8.25,800,1,2 "Entergy Peak",40555,40556,40556,52.75,49,50.88,8.88,1600,2,3 "Entergy Peak",40562,40563,40563,38.5,38,38.1,-12.78,4000,5,4 "Entergy Peak",40563,40564,40564,39,39,39,0.9,800,1,2 "Entergy Peak",40567,40568,40568,39,39,39,0,800,1,2 "Entergy Peak",40568,40569,40569,38,38,38,-1,800,1,2 "Entergy Peak",40571,40574,40574,36,36,36,-2,800,1,2 "Entergy Peak",40574,40575,40575,39.5,39.5,39.5,3.5,800,1,2 "Entergy Peak",40575,40576,40576,37,36.5,36.75,-2.75,1600,2,2

433

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Change","Daily Volume MWh","Number of Trades","Number of Counterparties"  

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

DA LMP",40911,40912,40912,92,84.75,87.16,-14.07,46400,56,29 DA LMP",40911,40912,40912,92,84.75,87.16,-14.07,46400,56,29 "Nepool MH DA LMP",40912,40913,40913,49,46,47.55,-39.61,78400,77,24 "Nepool MH DA LMP",40913,40914,40914,39.75,39.25,39.57,-7.98,12000,15,10 "Nepool MH DA LMP",40914,40917,40917,39,38,38.39,-1.18,8800,11,9 "Nepool MH DA LMP",40917,40918,40918,38.25,38,38.14,-0.25,8000,9,11 "Nepool MH DA LMP",40918,40919,40919,41.5,39.9,40.88,2.74,70400,83,25 "Nepool MH DA LMP",40919,40920,40920,37.25,36.75,36.83,-4.05,20000,23,16 "Nepool MH DA LMP",40920,40921,40921,44,43.5,43.73,6.9,11200,11,12 "Nepool MH DA LMP",40921,40924,40924,67,65.5,66.35,22.62,16800,21,15 "Nepool MH DA LMP",40924,40925,40925,50.75,50,50.24,-16.11,11200,14,12

434

"Price Hub","Trade Date","Delivery Start Date","Delivery End Date","High Price $/MWh","Low Price $/MWh","Wtd Avg Price $/MWh","Daily Volume MWh","Number of Trades","Number of Companies"  

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

6893,36894,36894,65.5,64.5,65,1600,2,2 6893,36894,36894,65.5,64.5,65,1600,2,2 "PJM West",36894,36895,36895,63,59.5,61.25,3200,4,2 "PJM West",36895,36896,36896,60,58.5,59.12,4800,6,4 "PJM West",36899,36900,36900,59.5,59.5,59.5,800,1,2 "PJM West",36900,36901,36901,58,55.5,56.61,5600,7,6 "PJM West",36901,36902,36902,50.5,49,49.75,3200,4,4 "PJM West",36902,36903,36903,47,46,46.33,4800,6,3 "PJM West",36903,36906,36906,45.5,45,45.12,3200,4,6 "PJM West",36906,36907,36907,46,42,44.21,5600,7,6 "PJM West",36907,36908,36908,42.5,42,42.4,4000,4,7 "PJM West",36908,36909,36909,41,39,39.56,7200,7,6 "PJM West",36909,36910,36910,39.5,39,39.25,2400,3,5 "PJM West",36910,36913,36913,51,50,50.43,5600,5,6

435

Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena  

Science Conference Proceedings (OSTI)

Since late 1995, NCEP has made available to forecasters hourly model guidance at selected sites in the form of vertical profiles of various forecast fields. These profiles provide forecasters with increased temporal resolution and greater ...

Robert E. Hart; Gregory S. Forbes; Richard H. Grumm

1998-12-01T23:59:59.000Z

436

Vertical Integration in Restructured Electricity Markets: Measuring Market Efficiency and Firm Conduct  

E-Print Network (OSTI)

Coal Natural Gas and Oil Nuclear Quantity Supplied (MWh)Units Oil Units Panel B: Summer of 1999 Variable QuantityQuantity demanded hourly a Price of: Electricity a Electricity (Q weighted) Natural Gas b Oil

Mansur, Erin T.

2003-01-01T23:59:59.000Z

437

Estimation of Annual Reductions of NOx Emissions in ERCOT for the HB3693 Electricity Savings Goals  

E-Print Network (OSTI)

Increasing the level of energy efficiency in Texas, as proposed by House Bill 3693, an Act related to energy demand, energy load, energy efficiency incentives, energy programs and energy performance measures, would reduce the amount of electricity demanded from Texas utilities. Since approximately eighty-eight percent of electricity generated in Texas is from plants powered by fossil fuels, such as coal and natural gas, this decrease would also reduce the air pollution that would otherwise be associated with burning these fuels. This report presents the potential emission reductions of nitrogen oxides (NOx) that would occur in the Electric Reliability Council of Texas (ERCOT) region if new energy efficiency targets for investor owned utilities are established for 2010 and 2015. These energy efficiency targets are the subject of a feasibility study as prescribed by Texas House Bill 3693. This report describes the details of the methodology, data and assumptions used, and presents the results of the analysis. The total energy savings targets for utilities within ERCOT are 745,710 megawatt-hours (MWh) by 2010 under the 30 percent reduction of growth scenario and 1,788,953 MWh by 2015 under the 50 percent reduction of growth scenario. The total projected annual NOx emissions reductions from these electricity savings are 191 tons in 2010 and 453 tons in 2015, or converting the annual totals into average daily avoided emissions totals, 0.5 tons per day by 2010 and 1.25 tons per day by 2015. The average avoided emission rate is approximately 0.51 pounds (lb) of NOx reduced per MWh of electricity savings. While House Bill 3693 is an Act related to energy and does not target emissions levels, the energy efficiency improvements would achieve air pollution benefits that could positively affect air quality and human health. The emissions reductions projected to result in 2010 and 2015 are comparable to the Texas Emission Reduction Program (TERP) Energy-Efficiency Grants Program, which does target emission reductions and estimated 2005 annual NOx emissions reductions of about 89 tons. While the projected emissions reductions are small compared to the total emission reductions needed to bring the state’s non-attainment areas into attainment of the national ambient air quality standards for ozone, they can be a part of an overall strategy to reduce emissions and improve human health in Texas.

Diem, Art; Mulholland, Denise; Yarbrough, James; Baltazar, Juan Carlos; Im, Piljae; Haberl, Jeff

2008-12-01T23:59:59.000Z

438

Utility green pricing programs: A statistical analysis of program effectiveness  

E-Print Network (OSTI)

Total renewable energy purchases of residential program participants in megawatt-hours divided by total eligible residential electrical usage.Total renewable energy purchases of non-residential program participants in megawatt-hours divided by total eligible non- residential electrical usage.

Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair

2004-01-01T23:59:59.000Z

439

EIA - State Electricity Profiles  

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

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

440

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

442

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

443

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

444

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia Electricity Profile 2010 District of Columbia profile District of Columbia Electricity Profile 2010 District of Columbia profile Table 1. 2010 Summary Statistics (District of Columbia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Petroleum Net Summer Capacity (megawatts) 790 51 Independent Power Producers & Combined Heat and Power 790 46 Net Generation (megawatthours) 199,858 51 Independent Power Producers & Combined Heat and Power 199,858 51 Emissions (thousand metric tons) Sulfur Dioxide 1 49 Nitrogen Oxide * 51 Carbon Dioxide 191 50 Sulfur Dioxide (lbs/MWh) 8.8 2 Nitrogen Oxide (lbs/MWh) 4.0 3 Carbon Dioxide (lbs/MWh) 2,104 1 Total Retail Sales (megawatthours) 11,876,995 43 Full Service Provider Sales (megawatthours) 3,388,490 50 Energy-Only Provider Sales (megawatthours) 8,488,505 12

445

EIA - State Electricity Profiles  

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

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

446

EIA - State Electricity Profiles  

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

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

447

EIA - State Electricity Profiles  

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

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

448

EIA - State Electricity Profiles  

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

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

449

EIA - State Electricity Profiles  

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

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

450

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

451

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

452

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

453

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

454

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

455

EIA - State Electricity Profiles  

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

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

456

EIA - State Electricity Profiles  

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

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

457

EIA - State Electricity Profiles  

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

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

458

EIA - State Electricity Profiles  

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

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

459

EIA - State Electricity Profiles  

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

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

460

EIA - State Electricity Profiles  

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

Arizona Electricity Profile 2010 Arizona profile Arizona Electricity Profile 2010 Arizona profile Table 1. 2010 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,392 15 Electric Utilities 20,115 14 Independent Power Producers & Combined Heat and Power 6,277 16 Net Generation (megawatthours) 111,750,957 12 Electric Utilities 91,232,664 11 Independent Power Producers & Combined Heat and Power 20,518,293 17 Emissions (thousand metric tons) Sulfur Dioxide 33 33 Nitrogen Oxide 57 17 Carbon Dioxide 55,683 15 Sulfur Dioxide (lbs/MWh) 0.7 43 Nitrogen Oxide (lbs/MWh) 1.1 31 Carbon Dioxide (lbs/MWh) 1,099 35 Total Retail Sales (megawatthours) 72,831,737 21 Full Service Provider Sales (megawatthours) 72,831,737 20

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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461

EIA - State Electricity Profiles  

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

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

462

EIA - State Electricity Profiles  

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

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

463

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

464

EIA - State Electricity Profiles  

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

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

465

EIA - State Electricity Profiles  

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

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

466

EIA - State Electricity Profiles  

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

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

467

EIA - State Electricity Profiles  

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

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

468

EIA - State Electricity Profiles  

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

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

469

EIA - State Electricity Profiles  

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

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

470

EIA - State Electricity Profiles  

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

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

471

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

472

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

473

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

474

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

475

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

476

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

477

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

478

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

West Virginia Electricity Profile 2010 West Virginia profile West Virginia Electricity Profile 2010 West Virginia profile Table 1. 2010 Summary Statistics (West Virginia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 16,495 24 Electric Utilities 11,719 21 Independent Power Producers & Combined Heat and Power 4,775 19 Net Generation (megawatthours) 80,788,947 20 Electric Utilities 56,719,755 18 Independent Power Producers & Combined Heat and Power 24,069,192 13 Emissions (thousand metric tons) Sulfur Dioxide 105 20 Nitrogen Oxide 49 23 Carbon Dioxide 74,283 12 Sulfur Dioxide (lbs/MWh) 2.9 20 Nitrogen Oxide (lbs/MWh) 1.3 25 Carbon Dioxide (lbs/MWh) 2,027 5 Total Retail Sales (megawatthours) 32,031,803 34 Full Service Provider Sales (megawatthours) 32,031,803 33

479

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont Electricity Profile 2010 Vermont profile Vermont Electricity Profile 2010 Vermont profile Table 1. 2010 Summary Statistics (Vermont) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 1,128 50 Electric Utilities 260 45 Independent Power Producers & Combined Heat and Power 868 43 Net Generation (megawatthours) 6,619,990 49 Electric Utilities 720,853 44 Independent Power Producers & Combined Heat and Power 5,899,137 35 Emissions (thousand metric tons) Sulfur Dioxide * 51 Nitrogen Oxide 1 50 Carbon Dioxide 8 51 Sulfur Dioxide (lbs/MWh) * 51 Nitrogen Oxide (lbs/MWh) 0.2 51 Carbon Dioxide (lbs/MWh) 3 51 Total Retail Sales (megawatthours) 5,594,833 51 Full Service Provider Sales (megawatthours) 5,594,833 48 Direct Use (megawatthours) 19,806 47

480

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawa