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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.


1

MagLab Audio Dictionary: Megawatt  

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

Megawatt? Now Playing: What's a Megawatt? Enable Javascript and Flash to stream the Magnet Minute Bryon Dalton Associated Links How We Keep the World's Most Powerful Magnets in...

2

Utility Name Retail Sales for 2010 (MWh) Projected Annual Cost  

E-Print Network [OSTI]

All POUs Utility Name Retail Sales for 2010 (MWh) Projected Annual Cost 20122013 ($) Projected Annual Cost 20132014 ($) Projected Annual Cost 20142015 ($) Legend LADWP 22,856,346 720,123 720,123 720 Attachment B Response Utility Name Retail Sales for 2010 (MWh) Projected Annual Cost 2012 2013 ($) LADWP 22

3

Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters fromOntario zonal data  

Science Journals Connector (OSTI)

Abstract With the growing share of wind production, understanding its impacts on electricity price and greenhouse gas (GHG) emissions becomes increasingly relevant, especially to design better wind-supporting policies. Internal grid congestion is usually not taken into account when assessing the price impact of fluctuating wind output. Using 20062011 hourly data from Ontario (Canada), we establish that the impact of wind output, both on price level and marginal GHG emissions, greatly differs depending on the congestion level. Indeed, from an average of 3.3% price reduction when wind production doubles, the reduction jumps to 5.5% during uncongested hours, but is only 0.8% when congestion prevails. Similarly, avoided GHG emissions due to wind are estimated to 331.93 kilograms per megawatt-hour (kg/MWh) using all data, while for uncongested and congested hours, estimates are respectively 283.49 and 393.68kg/MWh. These empirical estimates, being based on 20062011 Ontario data, cannot be generalized to other contexts. The main contribution of this paper is to underscore the importance of congestion in assessing the price and GHG impacts of wind. We also contribute by developing an approach to create clusters of data according to the congestion status and location. Finally, we compare different approaches to estimate avoided GHG emissions.

Mourad Ben Amor; Etienne Billette de Villemeur; Marie Pellat; Pierre-Olivier Pineau

2014-01-01T23:59:59.000Z

4

megatons to megawatts | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Working at NNSA Blog Home megatons to megawatts megatons to megawatts Under U.S.-Russia Partnership, Final Shipment of Fuel Converted From 20,000 Russian Nuclear Warheads...

5

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 +

6

MagLab - MagLab Dictionary: Megawatt (Transcript)  

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

Megawatt As explained by Bryon Dalton, Magnet Operations director. Substation This substation furnishes the MagLab with its 56 megawatts of electricity. Our magnets here at the...

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

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 +

9

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 +

10

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 +

11

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 +

12

SunShot Initiative: 10-Megawatt Supercritical Carbon Dioxide Turbine  

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

13

Spallation Neutron Source reaches megawatt power  

ScienceCinema (OSTI)

The Department of Energy's Spallation Neutron Source (SNS), already the world's most powerful facility for pulsed neutron scattering science, is now the first pulsed spallation neutron source to break the one-megawatt barrier. "Advances in the materials sciences are fundamental to the development of clean and sustainable energy technologies. In reaching this milestone of operating power, the Spallation Neutron Source is providing scientists with an unmatched resource for unlocking the secrets of materials at the molecular level," said Dr. William F. Brinkman, Director of DOE's Office of Science.

Dr. William F. Brinkman

2010-01-08T23:59:59.000Z

14

A TEN MEGAWATT BOILING HETEROGENEOUS PACKAGE POWER REACTOR. Reactor...  

Office of Scientific and Technical Information (OSTI)

A TEN MEGAWATT BOILING HETEROGENEOUS PACKAGE POWER REACTOR. Reactor Design and Feasibility Problem Re-direct Destination: Temp Data Fields Rosen, M. A.; Coburn, D. B.; Flynn, T....

15

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

16

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

17

Multi-Megawatt Power System Trade Study  

SciTech Connect (OSTI)

A concept study was undertaken to evaluate potential multi-megawatt power sources for nuclear electric propulsion. The nominal electric power requirement was set at 15 MWe with an assumed mission profile of 120 days at full power, 60 days in hot standby, and another 120 days of full power, repeated several times for 7 years of service. Two configurations examined were (1) a gas-cooled reactor based on the NERVA Derivative design, operating a closed cycle Brayton power conversion system; and (2) a molten metal-cooled reactor based on SP-100 technology, driving a boiling potassium Rankine power conversion system. This study considered the relative merits of these two systems, seeking to optimize the specific mass. Conclusions were that either concept appeared capable of approaching the specific mass goal of 3-5 kg/kWe estimated to be needed for this class of mission, though neither could be realized without substantial development in reactor fuels technology, thermal radiator mass efficiency, and power conversion and distribution electronics systems capable of operating at high temperatures. The gas-Brayton systems showed an apparent specific mass advantage (3.53 vs 6.43 kg/kWe for the baseline cases) under the set of assumptions used, but reconciling differences in conservatism in the design algorithms used would make results much more comparable. Brayton systems eliminate the need to deal with two-phase working fluid flows in the microgravity environment of space.

Longhurst, Glen Reed; Schnitzler, Bruce Gordon; Parks, Benjamin Travis

2002-02-01T23:59:59.000Z

18

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 +

19

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 +

20

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 +

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

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 +

22

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 +

23

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 +

24

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 +

25

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 +

26

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 +

27

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 +

28

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 +

29

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 +

30

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 +

31

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 +

32

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 +

33

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 +

34

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 +

35

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 +

36

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 +

37

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 +

38

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 +

39

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 +

40

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 +

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/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 +

42

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":""}]}

43

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

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

44

Fuel Mix and Emissions Disclosure  

Broader source: Energy.gov [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...

45

Project Profile: 10-Megawatt Supercritical Carbon Dioxide Turbine  

Broader source: Energy.gov [DOE]

The National Renewable Energy Laboratory (NREL) and its partners, under the 2012 SunShot Concentrating Solar Power (CSP) R&D funding opportunity announcement (FOA), aim to demonstrate a multi-megawatt power cycle using supercritical carbon dioxide (s-CO2) as the working fluid. The use of carbon dioxide instead of steam allows higher power-cycle efficiency and cycle components that are more compact.

46

DOE to Debut a Dynamic 5-Megawatt Dynamometer  

Broader source: Energy.gov [DOE]

Boulder, Colorado -- As wind turbine capacity continues to grow, so does the need to test the electrical and mechanical power-producing components of those turbines. Currently, only a few test facilities worldwide have the capability to test wind turbine drivetrains with capacity ratings up to 5 megawatts--and DOE's National Wind Technology Center at the National Renewable Energy Laboratory is now one of them.

47

The 5-megawatt power plant with 126 metre rotor diameter  

E-Print Network [OSTI]

The 5-megawatt power plant with 126 metre rotor diameter #12;Design data Rated power 5,000kW Cut-in speed 3.5m/s Rated wind speed 13.0m/s Cut-out speed 25.0m/s onshore 30.0m/s offshore Wind zone up to DIBt 3 Type class up to IEC Ib / GL offshore type class I Rotor Diameter 126.0m Rotor area 12,469m2

Firestone, Jeremy

48

National Wind Technology Center Dynamic 5-Megawatt Dynamometer  

ScienceCinema (OSTI)

The National Wind Technology Center (NWTC) offers wind industry engineers a unique opportunity to conduct a wide range of tests. Its custom-designed dynamometers can test wind turbine systems from 1 kilowatt (kW) to 5 megawatts (MW). The NWTC's new dynamometer facility simulates operating field conditions to assess the reliability and performance of wind turbine prototypes and commercial machines, thereby reducing deployment time, failures, and maintenance or replacement costs. Funded by the U.S. Department of Energy with American Recovery and Reinvestment Act (ARRA) funds, the 5-MW dynamometer will provide the ability to test wind turbine drivetrains and connect those drivetrains directly to the electricity grid or through a controllable grid interface (CGI). The CGI tests the low-voltage ride-through capability of a drivetrain as well as its response to faults and other abnormal grid conditions.

Felker, Fort

2014-06-10T23:59:59.000Z

49

Common Help Room Hours  

E-Print Network [OSTI]

Common Help Room Hours for Spring 2015. Monday, Tuesday, Wednesday, Thursday, Friday. 10:30 am. 11:30 am. MA 16200 - MATH 205 - Nathanael Cox...

50

Common Help Room Hours  

E-Print Network [OSTI]

Common Help Room Hours for Spring 2015. Monday, Tuesday, Wednesday, Thursday, Friday. 10:30 am. 11:30 am. MA 16010 - MATH 205 - Alessandra...

51

Contacts / Hours - Hanford Site  

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

Station Real Time Met Data from Around the Site Current HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Contacts Hours Current NWS...

52

LIBRARY SERVICES LIBRARY HOURS  

E-Print Network [OSTI]

LIBRARY SERVICES LIBRARY HOURS Up-to-date library hours are posted at http Wesleyan ID that is linked to the library circulation database is needed to charge out library materials to visit the Circulation Office in Olin Library 115 to set up their borrowing privileges. If you have

Royer, Dana

53

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

54

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

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

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

55

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

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

56

"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"

57

MERCURY PURIFICATION IN THE MEGAWATT LIQUID METAL SPALLATION TARGET OF EURISOL-DS Joerg Neuhausena  

E-Print Network [OSTI]

MERCURY PURIFICATION IN THE MEGAWATT LIQUID METAL SPALLATION TARGET OF EURISOL-DS Joerg Neuhausena. For the development of a purification procedure, knowledge about the chemical state of the different elements present-components are of different origin: Gaseous impurities include oxygen, nitrogen and water. The construction materials

McDonald, Kirk

58

MARS15 study of the Energy Production Demonstrator Model for Megawatt  

E-Print Network [OSTI]

MARS15 study of the Energy Production Demonstrator Model for Megawatt proton beams in the 0.5 ­ 120 Targetry Workshop HPT5, Fermilab #12;Energy Production Demonstrator MARS15 Model · Solid targets · R= 60 cm · Energy Production/Materials Testing · LAQGSM/CEM generators were usedU-nat, 3 GeV, Energy deposition, Ge

McDonald, Kirk

59

NERSC Edison Hours Used Report  

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

Hours Used Edison Hours Used 2014 Edison Usage Chart Edison Usage Chart 2013 Edison Usage Chart Edison Usage Chart 2014 Date Hours Used (in millions) Percent of Maximum Possible...

60

FALL AND SPRING Per Hour # Hours # Semesters Total  

E-Print Network [OSTI]

$4,060.00 FALL AND SPRING Per Hour # Hours # Semesters Total Tuition $765.00 15 2 $22,950.00 ISS, Engineering, Journalism & Mass Communications, Music and Social Welfare fees. These amounts do NOT include to complete at least 12 hours each fall and spring semester. Calculations are based on 15 hours (an average

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

Developing and Financing Renewable Energy Projects in Indian Country  

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

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!

62

Slide 1  

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

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;

63

NERSC Hopper Hours Used Report  

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

Hours Used Hopper Hours Used 2014 Hopper Usage Chart Hopper Usage Chart 2013 Hopper Usage Chart Hopper Usage Chart 2012 Hopper Usage Chart Hopper Usage Chart 2011 Hopper Usage...

64

FALL AND SPRING Per Hour # Hours # Semesters Total  

E-Print Network [OSTI]

$4,060.00 FALL AND SPRING Per Hour # Hours # Semesters Total Tuition $828.00 15 2 $24,840.00 ISS Living Expenses Please see reverse side for Architecture, Arts, Business, Design & Planning, Engineering to change. Tuition will be guaranteed through spring 2018; however, expect approximately a 5% increase each

65

NERSC Franklin Hours Used Report  

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

66

EIA-930 Hourly and Daily Balancing ...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

not change from day-to-day or hour-to-hour, as specified in the immediately preceding section. For each hour of the day, hourly integrated demand is to be posted within ten...

67

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

E-Print Network [OSTI]

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

2012-01-01T23:59:59.000Z

68

NERSC Carver Hours Used Report  

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

69

Location and Hours | ornl.gov  

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

Location and Hours Location The ORNL Research Library is located off the central corridor of Bldg. 4500N on the main ORNL campus. Hours The library is open 24 hours, seven days a...

70

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)

71

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

SciTech Connect (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

72

A Megawatt-level 28z GHz Heating System For The National Spherical Torus Experiment Upgrade  

SciTech Connect (OSTI)

The National Spherical Torus Experiment Upgrade (NSTX-U) will operate at axial toroidal fields of < 1 T and plasma currents, Ip < 2 MA. The development of non-inductive (NI) plasmas is a major long-term research goal for NSTX-U. Time dependent numerical simulations of 28 GHz electron cyclotron (EC) heating of low density NI start-up plasmas generated by Coaxial Helicity Injection (CHI) in NSTX-U predict a significant and rapid increase of the central electron temperature (Te(0)) before the plasma becomes overdense. The increased Te(0) will significantly reduce the Ip decay rate of CHI plasmas, allowing the coupling of fast wave heating and neutral beam injection. A megawatt-level, 28 GHz electron heating system is planned for heating NI start-up plasmas in NSTX-U. In addition to EC heating of CHI start-up discharges, this system will be used for electron Bernstein wave (EBW) plasma start-up, and eventually for EBW heating and current drive during the Ip flattop.

Taylor, Gary [PPPL

2014-04-01T23:59:59.000Z

73

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...  

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

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

74

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

75

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)

76

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)

77

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)

78

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"

79

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"

80

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"

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

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)

82

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)

83

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)

84

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)

85

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)

86

Arc discharge regulation of a megawatt hot cathode bucket ion source for the experimental advanced superconducting tokamak neutral beam injector  

SciTech Connect (OSTI)

Arc discharge of a hot cathode bucket ion source tends to be unstable what attributes to the filament self-heating and energetic electrons backstreaming from the accelerator. A regulation method, which based on the ion density measurement by a Langmuir probe, is employed for stable arc discharge operation and long pulse ion beam generation. Long pulse arc discharge of 100 s is obtained based on this regulation method of arc power. It establishes a foundation for the long pulse arc discharge of a megawatt ion source, which will be utilized a high power neutral beam injection device.

Xie Yahong; Hu Chundong; Liu Sheng; Jiang Caichao; Li Jun; Liang Lizhen [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China); Collaboration: NBI Team

2012-01-15T23:59:59.000Z

87

Energy Efficiency/Renewable Energy Impact in the Texas Emissions Reduction Plan (TERP), Vol. II - Technical Report  

E-Print Network [OSTI]

ESL-TR-06-06-08 ENERGY EFFICIENCY/RENEWABLE ENERGY IMPACT IN THE TEXAS EMISSIONS REDUCTION PLAN (TERP) VOLUME II ? SUMMARY REPORT Annual Report to the Texas Commission on Environmental Quality September 2004 ? December 2005..., the following results were determined for energy-code compliant new residential single- and multi-family construction in non-attainment and affected counties built in 2004: ? The annual savings in 2005 amounted to 348,794 megawatt hours (MWh...

Haberl, J. S.; Culp, C.; Yazdani, B.; Gilman, D.; Fitzpatrick, T.; Muns, S.; Verdict, M.; Ahmed, M.; Liu, Z.; Baltazar-Cervantes, J. C.; Degelman, L. O.; Turner, W. D.

2006-11-01T23:59:59.000Z

88

"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"

89

"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"

90

Information and Instructions for Your Office Hours  

E-Print Network [OSTI]

Aug 7, 2014 ... INFORMATION on OFFICE HOURS and INSTRUCTIONS for TAOH. Please view rather than print this information. Current dates can be found...

Dominic Naughton

2014-08-07T23:59:59.000Z

91

Bradbury Science Museum announces winter opening hours  

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

92

MARKETING DEPARTMENT Office Hours Fall 2014  

E-Print Network [OSTI]

MARKETING DEPARTMENT Office Hours Fall 2014 NAME OFFICE HOURS COURSE # COURSE TITLE DAY TIME ROOM MKTG 470.2 MKTG 496.1 Marketing Research Marketing & Sales Analytics MW MW 1000-1150 1400-1550 SSW 3620-1400 and by appointment MKTG 498.1-3 MKTG 779.1 MKTG 790.1 MKTG 797.1 MKTG 798.1-3 Investigation & Report Ad. Marketing

Gallo, Linda C.

93

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)"

94

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

95

Ethics and Public Health 3 credit hours  

E-Print Network [OSTI]

PUB H Ethics and Public Health 3 credit hours Summer, 2009 Instructor: Ann Cook, PhD, MPA, Research U.S. public health policies. The course begins with a rationale for studying the ethical dimensions of public health and then examines ethical decisonmaking in arenas such as policy development, research

Vonessen, Nikolaus

96

Credit Based; Beginning Swimming Credit/Hour  

E-Print Network [OSTI]

the pool. To be able to swim at least 50 yards with one of the learned strokes. Required Materials: Swim. Make-Ups: Only two make-ups allowed by swimming laps during open swim/lap swim at MSU pool. Lap swimCredit Based; Beginning Swimming Credit/Hour s Class Title Lead Instructo r Phone Email Office

Maxwell, Bruce D.

97

Project Management Foundation 21 hours, $895  

E-Print Network [OSTI]

Project Management Foundation 21 hours, $895 The fundamental project management processes. In group exercises, participants gain an understanding of how the project management processes are used during each phase of a project to build a better, more effective project plan. Topics Include

Alabama in Huntsville, University of

98

2009-2010 Advertising Curriculum Hours PREREQUISITES  

E-Print Network [OSTI]

2009-2010 Advertising Curriculum Hours PREREQUISITES First Year English 101, 102 6 or satisfactory placement test score Second Year Advertising 250 3 ___ Public Relations 270 3 ___ 3 History 241 ___ Statistics 201 3 ___ Math 125 or Math 141 Accounting 200 3 ___ Advertising 310 3 ___ Advertising 250 TOTAL 31

Grissino-Mayer, Henri D.

99

2007-2008 Advertising Curriculum Hours PREREQUISITES  

E-Print Network [OSTI]

2007-2008 Advertising Curriculum Hours PREREQUISITES First Year English 101, 102 6-4 ___ Math 119 or 123 or satisfactory placement test score TOTAL 32-33 Second Year Advertising 250 3 ___ Advertising 310 3 ___ Adv 250 and admission to the major TOTAL 31 Third Year Psychology 110 3 ___ Business

Grissino-Mayer, Henri D.

100

2011-12 Advertising Curriculum Hours PREREQUISITES  

E-Print Network [OSTI]

2011-12 Advertising Curriculum Hours PREREQUISITES First Year English 101, 102 6-33 Math 141: Math 130 or placement level Second Year Advertising 250 3 ___ Public Relations 270 3 ___ 3 Economics 201 4 ___ Statistics 201 3 ___ Math 125 or Math 141 Accounting 200 3 ___ Advertising 310 3

Grissino-Mayer, Henri D.

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

2010-11 Advertising Curriculum Hours PREREQUISITES  

E-Print Network [OSTI]

2010-11 Advertising Curriculum Hours PREREQUISITES First Year English 101, 102 6-33 Math 141: Math 130 or placement level Second Year Advertising 250 3 ___ Public Relations 270 3 ___ 3 Economics 201 4 ___ Statistics 201 3 ___ Math 125 or Math 141 Accounting 200 3 ___ Advertising 310 3

Grissino-Mayer, Henri D.

102

2012-13 Advertising Curriculum Hours PREREQUISITES  

E-Print Network [OSTI]

2012-13 Advertising Curriculum Hours PREREQUISITES First Year English 101*, 102* 6 Advertising 250 3 ___ Public Relations 270 3 ___ 3 History 241*, 242* or 261*, 262* 6 ___ ___ 4 English or Math 141 Accounting 200 3 ___ Advertising 310 3 ___ Advertising 250 TOTAL 31 Third Year Psychology 110

Grissino-Mayer, Henri D.

103

NERSC Edison Phase I Hours Used Report  

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

104

Health Promotion Graduate Student Coordinator 15-20 hours/week $18/hour (pending approval)  

E-Print Network [OSTI]

Health Promotion Graduate Student Coordinator 15-20 hours/week $18/hour (pending approval year. The Graduate Student Coordinator for Health Promotion is responsible for assisting the Fitness & Health Promotion Coordinator in the development, promotion, management and implementation of Campus Rec

Lafferriere, Gerardo

105

Society, Technology and the Environment-3credit hours Spanish for Engineering-6 credit hours  

E-Print Network [OSTI]

Society, Technology and the Environment- 3credit hours Spanish for Engineering- 6 credit hours 21st May to 22nd June 2012 The University of Alabama College of Engineering in collaboration with Pamplona for any student interested in technology and the environment; students will have the opportunity to study

Simaan, Nabil

106

Essays on energy and environmental policy  

E-Print Network [OSTI]

from the EPA dataset and hourly generation from nuclear,dataset. Table 1.7: Average Generation Avoided by Fuel ? Gas (MWh) ? Coal (MWh) ? Nuclear (

Novan, Kevin Michael

2012-01-01T23:59:59.000Z

107

Faculty Office Hours Fall 2014 Aberle, James  

E-Print Network [OSTI]

Faculty Office Hours Fall 2014 Aberle, James GWC 326 01:30 PM 02:45 PMM T W F to Tuesday is through:30 AMR to Coleman, James BYENG 450 08:45 AM 09:45 AMT R to By Appointment Cotter, Jeff GWC 424 03:15 PM:00 AM 09:30 AMF to Or at a time arranged via e-mail to reisslein@asu.edu Rodriguez, Armando GWC 352 10

Zhang, Yanchao

108

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

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

109

20140430_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.

Thibedeau, Joe

2014-05-05T23:59:59.000Z

110

Green Machine Florida Canyon Hourly Data 20130731  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.

Vanderhoff, Alex

2013-08-30T23:59:59.000Z

111

20130416_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.

Vanderhoff, Alex

2013-04-24T23:59:59.000Z

112

Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13

Vanderhoff, Alex

2013-07-15T23:59:59.000Z

113

Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13

Vanderhoff, Alex

114

20130416_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.

Vanderhoff, Alex

115

20140430_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.

Thibedeau, Joe

116

Green Machine Florida Canyon Hourly Data 20130731  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.

Vanderhoff, Alex

117

Cleanroom After-Hours Policy Original: 11/04  

E-Print Network [OSTI]

Cleanroom After-Hours Policy Original: 11/04 Revised: 2//05 CAMD strives to maintain and improve laboratory and User safety along with User efficiency. After- Hours work inside the cleanroom (CR + all hours of LSU Staff holidays. After-Hours Access Request · Cleanroom-trained Users can apply for CR

118

Guidelines for Use MIT Libraries' 24 Hour Study Space  

E-Print Network [OSTI]

Guidelines for Use MIT Libraries' 24 Hour Study Space Access to and use of the MIT Libraries' 24://libguides.mit.edu/hours)). The following principles guide access to 24-hour spaces for all users of the MIT Libraries: Expectations Library policies Behavior Library users in the 24-hour study spaces are expected to refrain from: � Behaviors

119

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)

120

Estimation of hourly global and diffuse solar radiation from hourly sunshine duration  

SciTech Connect (OSTI)

A statistical procedure has been employed to develop correlations of monthly-mean-hourly global and diffuse solar radiation on a horizontal surface to hourly sunshine duration. Several years of measured data on solar radiation and sunshine duration, reported in the literature for two stations in the southern African region, is employed for this purpose. The applicability of the developed correlations is tested by estimating solar radiation for a new location. The excellent agreement between the measured and estimated data for that station the wide applicability of the method.

Gopinathan, K.K (National Univ. of Lesotho, Roma (South Africa))

1992-01-01T23:59:59.000Z

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.


121

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 (OSTI)

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

122

BNL | Center for Functional Nanomaterials Hours of Operation  

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

123

untitled  

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

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

124

Operational Performance of the Two-Channel 10 Megawatt Feedback Amplifier System for MHD Control on the Columbia University HBT-EP Tokamak  

SciTech Connect (OSTI)

The operational characteristics and performance of the two channel 10 Megawatt MHD feedback control system as installed by Los Alamos National Laboratory on the Columbia University HBT-EP tokamak are described. In the present configuration, driving independent 300 {micro}H saddle coil sets, each channel can deliver 1100 Amperes and 16 kV peak to peak. Full power bandwidth is about 12 kHz, with capabilities at reduced power to 30 kHz. The present system topology is designed to suppress magnetohydrodynamic activity with m=2, n=1 symmetry. Application of either static (single phase) or rotating (twin phased) magnetic perturbations shows the ability to spin up or slow down the plasma, and also prevent (or cause) so-called ''mode-locking''. Open loop and active feedback experiments using a digital signal processor (DSP) have been performed on the HBT-EP tokamak and initial results show the ability to manipulate the plasma MHD mode frequency.

Reass, W.A.; Wurden, G.A.

1997-10-06T23:59:59.000Z

125

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

126

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

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

127

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

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

if you have questions. When regular business hours are suspended The laboratory may not conduct regular operations because of inclement weather. In this case, employees are not...

128

Credit Based; Beginning Swimming Credit/Hours Class  

E-Print Network [OSTI]

Center Pool Course Description: Beginning swimming skills and water safety. Prerequisites: Must about experience at the meet. 3) Swim laps during open swim/lap swim at MSU pool. A sheet will be postedCredit Based; Beginning Swimming Credit/Hours Class Title Lead Instructor Phone Email Office Hours

Maxwell, Bruce D.

129

Notices  

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

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

130

General Education and Major Coursework: Credit Hours General Education and Major Coursework: Credit Hours ENGN 110 2 ECE 111 2  

E-Print Network [OSTI]

: 128 ** Meets philosophy and ethics general education requirement. Electrical engineering majors mustGeneral Education and Major Coursework: Credit Hours General Education and Major Coursework: Credit (C or better required) 3 PHYS 231N 4 COMM 101R 3 General Education and Major Coursework: Credit Hours

131

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.  

SciTech Connect (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

132

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

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.

133

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

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.

134

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

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.

135

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

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

136

Balancing Authority Cooperation Concepts - Intra-Hour Scheduling  

SciTech Connect (OSTI)

The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.

Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob

2013-03-29T23:59:59.000Z

137

DOE's Office of Science Awards 18 Million Hours of Supercomputing...  

Office of Environmental Management (EM)

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...

138

SunShot Announces 24-Hour Solar Data Hackathon  

Broader source: Energy.gov [DOE]

SunShot will host a 24-hour solar data hackathon at the 2014 SunShot Grand Challenge Summit. Learn more over at the EERE blogand register here.

139

Pay and Leave Administration and Hours of Duty  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This Order establishes requirements and responsibilities for the management of pay, including overtime and compensatory time, leave administration, and hours of duty. Cancels DOE O 322.1A. Canceled by DOE O 322.1C.

2005-01-14T23:59:59.000Z

140

Pay and Leave Administration and Hours of Duty  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Cancels DOE O 322.1B and DOE O 535.1

2011-01-19T23:59:59.000Z

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.


141

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

142

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

143

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

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

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

144

Navy Estimated Average Hourly Load Profile by Month (in MW)  

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

Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

145

BIOLOGY 650 (credit 2 hours) Animal Physiology LABORATORY  

E-Print Network [OSTI]

BIOLOGY 650 (credit 2 hours) Animal Physiology LABORATORY Spring 2011 Instructor: ROBIN COOPER , Ph role of ion channels and transporters in regulation of the membrane potential will be covered in great-neuron communication through electrical and chemical synapses will be examined in live preparations. The historical

Cooper, Robin L.

146

Aegis Combat and Weapon Systems Overview 24 hours, $1495  

E-Print Network [OSTI]

Aegis Combat and Weapon Systems Overview 24 hours, $1495 Launched from the Advanced Surface Missile that led to the initiation of Aegis. Topics Include: · AegisOverviewandHistory · AegisBMD · AegisWeaponSEprocessensuresthatsystemsaredevelopedtomeet affordable, operationally effective, and timely mission objectives. FocusonengineeringtheWeapon

Fork, Richard

147

BRASENOSE COLLEGE 8-HOUR STIPENDIARY LECTURERSHIP IN PHILOSOPHY  

E-Print Network [OSTI]

BRASENOSE COLLEGE OXFORD 8-HOUR STIPENDIARY LECTURERSHIP IN PHILOSOPHY FURTHER PARTICULARS in Philosophy at Brasenose College, Oxford. The post is tenable from 1 October 2013 (finishing date: 31st information about the College can be found at www.bnc.ox.ac.uk. Brasenose has a strong tradition in Philosophy

Oxford, University of

148

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network [OSTI]

in part to the unbiased nature of these simulations: the low-energy regions of the free-energy landscape to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically are oversampled while the (arguably more interesting) high-energy tran- sition regions are rarely observed

Thain, Douglas

149

Credit Based; Intermediate Swimming Credit/Hours Class  

E-Print Network [OSTI]

Center Pool Course Description: Intermediate stroke and swimming skills Prerequisites: Must have by swimming laps during open swim/lap swim at MSU pool. Lap swim times are available online or at the frontCredit Based; Intermediate Swimming Credit/Hours Class Title Lead Instructor Phone Email Office

Maxwell, Bruce D.

150

Credit Based; Intermediate Swimming Credit/Hours Class  

E-Print Network [OSTI]

at the meet. 3) Swim laps during open swim/lap swim at MSU pool. A sheet will be posted on D2l that you. Emergency phone B. Pool Rules C key swimming skills 1. Breathing 2. Floating/body position 3. Treading waterCredit Based; Intermediate Swimming Credit/Hours Class Title Lead Instructor Phone Email Office

Maxwell, Bruce D.

151

Pay and Leave Administration and Hours of Duty  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Cancels DOE O 322.1B and DOE O 535.1. Admin Chg 1, dated 5-10-12, cancels DOE O 322.1C.

2011-01-19T23:59:59.000Z

152

Saving Megawatts with Voltage Optimization  

E-Print Network [OSTI]

that had been installed at several electric utility distribution substations in the U.S. and Canada. These systems, being operated in Conservation Voltage Regulation mode, have provided significant energy conservation where they have been installed...

Wilson, T.; Bell, D.

2010-01-01T23:59:59.000Z

153

20140301-0331_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.

Thibedeau, Joe

2014-04-07T23:59:59.000Z

154

20140601-0630_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.

Thibedeau, Joe

2014-06-30T23:59:59.000Z

155

20140701-0731_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.

Thibedeau, Joe

2014-07-31T23:59:59.000Z

156

20131201-1231_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.

Thibedeau, Joe

2014-01-08T23:59:59.000Z

157

20140201-0228_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.

Thibedeau, Joe

2014-03-03T23:59:59.000Z

158

20140501-0531_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.

Thibedeau, Joe

2014-06-02T23:59:59.000Z

159

20131101-1130_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.

Thibedeau, Joe

2013-12-02T23:59:59.000Z

160

20130801-0831_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.

Vanderhoff, Alex

2013-09-10T23:59:59.000Z

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

20130901-0930_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.

Thibedeau, Joe

2013-10-25T23:59:59.000Z

162

20131001-1031_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.

Thibedeau, Joe

2013-11-05T23:59:59.000Z

163

20140101-0131_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.

Thibedeau, Joe

2014-02-03T23:59:59.000Z

164

20130501-20130531_Green Machine Florida Canyon Hourly Data  

SciTech Connect (OSTI)

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013

Vanderhoff, Alex

2013-06-18T23:59:59.000Z

165

20140201-0228_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.

Thibedeau, Joe

166

20131101-1130_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.

Thibedeau, Joe

167

20140301-0331_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.

Thibedeau, Joe

168

20131001-1031_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.

Thibedeau, Joe

169

20140601-0630_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.

Thibedeau, Joe

170

20131201-1231_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.

Thibedeau, Joe

171

20130801-0831_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.

Vanderhoff, Alex

172

20130501-20130531_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013

Vanderhoff, Alex

173

20140701-0731_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.

Thibedeau, Joe

174

20140101-0131_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.

Thibedeau, Joe

175

20140501-0531_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.

Thibedeau, Joe

176

20130901-0930_Green Machine Florida Canyon Hourly Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.

Thibedeau, Joe

177

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.

178

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.

179

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.

180

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.

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 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.

182

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

183

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

184

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

185

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

186

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

187

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

188

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

189

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

190

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

191

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

192

A stochastic technique for synthesis of hourly precipitation  

E-Print Network [OSTI]

STATES DURING SIX PFRIODS WHEN THE LAST PERIOD IS DRY t-5 t-4 State t-3 During T 11M t-2 t-1 D D D D W W W W D D W W D D W W D W D W D W D W D W D W D W D W 19 fearures and of the daily precipitation record of the... 124 10 80 TABLE 5 FREQUENCIES OF 2-HR SEQUENCES State During Hour (t) 1 2 3 4 5 6 7 8 9 10 136, 330 338 311 198 171 138 65 38 52 30 2 3 416 220 142 68 30 380 170 189 102 50 21 7 6 42 8 7 4 3 9 2 4 0 5 Zl 7 4J 9 209 146 112 29...

Huddle, John Paul

2012-06-07T23:59:59.000Z

193

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

194

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

195

Retrieval of hourly records of surface hydrometeorological variables using satellite remote sensing data  

Science Journals Connector (OSTI)

A new algorithm is formulated for retrieving hourly time-series of surface hydrometeorological variables including net radiation, sensible heat flux, and near-surface air temperature aided by hourly visible images from the Geostationary ...

Sanaz Moghim; Andrew Jay Bowen; Sepideh Sarachi; Jingfeng Wang

196

EPA ENERGY STAR Webcast: Portfolio Manager Office Hours, Focus Topic: Sharing Forward and Transfer Ownership  

Broader source: Energy.gov [DOE]

Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

197

TESTING FORM Please deliver exams with envelope & testing form at least 24 hours in advance to  

E-Print Network [OSTI]

TESTING FORM Please deliver exams with envelope & testing form at least 24 hours in advance to: _________________________________ Class Time: __________ - __________ _________ Test Date: _______________________________ Time allotted): ____________________________ INSTRUCTOR PROCEDURES: 1. Please deliver tests to WYLY TOWER 318 at least 24 hours PRIOR to test time

Selmic, Sandra

198

Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs  

E-Print Network [OSTI]

top graph) as a percent of the total average energy usage ofgraph) as a percentage of each hours average energy usagegraph: first, kWh savings; second, normalized savings as a percent of the total average energy usage

Todd, Annika

2014-01-01T23:59:59.000Z

199

EPA ENERGY STAR Webcast- Portfolio Manager Office Hours, Focus Topic: Weather Data and Metrics  

Broader source: Energy.gov [DOE]

Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...

200

Fuel Cell Stacks Still Going Strong After 5,000 Hours | Department...  

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

Fuel Cell Stacks Still Going Strong After 5,000 Hours Fuel Cell Stacks Still Going Strong After 5,000 Hours March 24, 2009 - 1:00pm Addthis Washington, DC -- Two fuel cell stacks...

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

Minor in Psychology The minor in Psychology requires 18 hours of Psychology coursework as shown below. At least 6 hours of the  

E-Print Network [OSTI]

Minor in Psychology The minor in Psychology requires 18 hours of Psychology coursework as shown on this minor check sheet may be counted toward the Psychology minor. Research Methods/Critical Thinking Skills 1 PSYC Course - 3 hours Term Grade Hrs Qpts General Psychology Lecture (PSYC 1101) with a C

Raja, Anita

202

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

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

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?

203

Southern California Edison 32MWh Wind Integration Project  

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

, 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

204

Fuel Mix and Emissions Disclosure | Department of Energy  

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

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

205

Fuel Mix and Emissions Disclosure | Department of Energy  

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

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

206

Renewable and Recycled Energy Objective | Department of Energy  

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

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

207

Multicriteria decision making in electricity demand management: the case of Kuwait  

Science Journals Connector (OSTI)

Electricity demand in Kuwait has substantially increased over the years and this increase is attributed to population growth, increase in the number of buildings, and the extensive use of air-conditioning system during the very hot weather in the summer. The amount of electrical energy generated reached 48 444 308 megawatt hour (MWH) in 2007. Such growth calls for extensive investment in the continuous expansion of the existing power plants and constructing new ones. To rationalise the consumption of electricity, several conservation policies have to be implemented. In this work, we have attempted to diagnose such problem and solicit expert opinions in order to provide the proper remedies. Because the problem comprises several criteria that are subjective in nature, multicriteria decision-making approaches were suggested. The Analytical Hierarchy Process (AHP) was used as a decision tool to assess the different policies that could be used to bring about electricity conservation.

Mohammed Hajeeh

2010-01-01T23:59:59.000Z

208

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

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

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

209

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

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

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

210

Hydropower Generators Will Deliver New Energy from an Old Dam  

Office of Energy Efficiency and Renewable Energy (EERE)

City of Tacoma expands hydroelectric dam to produce more than 23,000 megawatt hours of electricity annually.

211

Recreation Pool Hours and Availability for Rochester INDIVIDUAL GUEST FEES WILL APPLY AT FACILITIES LISTED  

E-Print Network [OSTI]

Recreation Pool Hours and Availability for Rochester INDIVIDUAL GUEST FEES WILL APPLYSp_aquatic.pdf Perinton http://www.perinton.org/Departments/Recreation/PCC Pittsford Pages 1012 http

Portman, Douglas

212

Intra-hour wind power variability assessment using the conditional range metric : quantification, forecasting and applications.  

E-Print Network [OSTI]

??The research presented herein concentrates on the quantification, assessment and forecasting of intra-hour wind power variability. Wind power is intrinsically variable and, due to the (more)

Boutsika, Thekla

2013-01-01T23:59:59.000Z

213

E-Print Network 3.0 - after-hours care instructions Sample Search...  

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

after hours access? yes no AUP Number... Supervisor's Signature Submitted Occupational Health Form to Animal Care and Use 608 Boyd Graduate Studied... Building ... Source:...

214

Sample 8 Semester Plan for NRES Students need 130 hours to graduate.  

E-Print Network [OSTI]

resource systems with emphasis on the ecology, biology, conservation, and management of fish and wildlifeSample 8 Semester Plan for NRES Students need 130 hours to graduate. Year 11 Fall Semester ACES 101 Public Speaking2 IB 103 Intro to Plant Biology Statistics3 or Cultural Studies4 Total Hours Hrs 3 1 3-4 4

Kent, Angela

215

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.

216

STUDENT HOURLY OFFICE ASSISTANT Position available with the History of Cartography Project  

E-Print Network [OSTI]

STUDENT HOURLY OFFICE ASSISTANT Position available with the History of Cartography Project Hours · Must be enrolled UW student; work study funding accepted · Experience with Word, Excel, database To apply, submit a detailed letter of application and resume to Beth Freundlich at: History of Cartography

Wisconsin at Madison, University of

217

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal  

E-Print Network [OSTI]

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal Center for Applied for this purpose. This paper proposes using the alternative technique of abductive networks, which offers with statistical and empirical models. Using hourly temperature and load data for five years, 24 dedicated models

Abdel-Aal, Radwan E.

218

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

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

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"

219

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

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

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

220

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

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

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)","(%)"

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

Calibration of Predicted Hourly Zone-Level Supply Air Flows with Measurements  

E-Print Network [OSTI]

the chemical composition, then sends a signal to the control system to increase the ventilation rate, if necessary. This system cannot be modeled in eQuest. The null hypothesis H0 is true only if the t-value is less than tcritical; if t-value is greater..., daily and monthly calibration analysis: CV-RMSE[%] vs. t-test CV-RMSE [%] Zone Interval Time step t t,cr 2.1 NE Summer Hourly 18.8 Daily 9.5 Monthly 4.2 3 days Hourly 24.2 2.4 SW Summer Hourly 28.4 Daily 12.7 Monthly 4...

Mihai, A.; Zmeureanu, R.

2013-01-01T23:59:59.000Z

222

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

223

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

224

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

225

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

226

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

227

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

228

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

229

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

230

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

231

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

232

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

233

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

234

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

235

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

236

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

237

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

238

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

239

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

240

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

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

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

242

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

243

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

244

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

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

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

253

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

254

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

255

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

256

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

257

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

258

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

259

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

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

260

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

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

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

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

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

262

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

263

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

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

264

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

265

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

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

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

266

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

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

267

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

268

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

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

269

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

E-Print Network [OSTI]

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor

270

Workers at EM's West Valley Site Surpass 1 Million Hours without...  

Office of Environmental Management (EM)

Achieving 1 million work hours without a lost-time accident is a true indication of the safety culture that we embrace at the West Valley Demonstration Project," EM WVDP Director...

271

Univariate forecasting of day-ahead hourly electricity demand in the northern grid of India  

Science Journals Connector (OSTI)

Short-term electricity demand forecasts (minutes to several hours ahead) have become increasingly important since the rise of the competitive energy markets. The issue is particularly important for India as it has recently set up a power exchange (PX), which has been operating on day-ahead hourly basis. In this study, an attempt has been made to forecast day-ahead hourly demand of electricity in the northern grid of India using univariate time-series forecasting techniques namely multiplicative seasonal ARIMA and Holt-Winters multiplicative exponential smoothing (ES). In-sample forecasts reveal that ARIMA models, except in one case, outperform ES models in terms of lower RMSE, MAE and MAPE criteria. We may conclude that linear time-series models works well to explain day-ahead hourly demand forecasts in the northern grid of India. The findings of the study will immensely help the players in the upcoming power market in India.

Sajal Ghosh

2009-01-01T23:59:59.000Z

272

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

Broader source: Energy.gov [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.

273

ANTH 376: GENOMICS & ANTHROPOLOGY 4 credit hours (satisfies an SC requirement)  

E-Print Network [OSTI]

1 ANTH 376: GENOMICS & ANTHROPOLOGY 4 credit hours (satisfies an SC variation, health and evolution. Extended Course Description The Human Genome Project and recent advances in genome sequencing techniques have made it possible

274

EPA ENERGY STAR Webcast- Portfolio Manager Office Hours, Focus Topic: Portfolio Manager 2015 Priorities  

Broader source: Energy.gov [DOE]

Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...

275

MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours  

E-Print Network [OSTI]

to understand onshore, offshore, and airborne wind power. Topics include: forces affecting and energy from turbines; and wind measurement technologies. Textbooks (not requiredMAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours 1

Delaware, University of

276

Workers at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness  

Broader source: Energy.gov [DOE]

PADUCAH, Ky. Workers with Paducah site infrastructure contractor Swift & Staley, Inc. recently exceeded 1.5 million hours without lost time away from work due to injury or illness, representing nine years of safe performance.

277

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

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

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

278

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

279

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

280

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.

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

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

282

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

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

283

Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours  

ScienceCinema (OSTI)

The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe.

Andy Nonaka

2010-01-08T23:59:59.000Z

284

Synthesis of hourly rainfall by a Monte Carlo method using a sixth-order Markov chain  

E-Print Network [OSTI]

the modeling scheme that reproduces the historical sequences. Hudlow (1967) and the author designed a model for producing synthetic rainfall sequences based on these probabilities. Hudlow us d the model to generate three selected storms of the stationary... - or ? Dry Hour (t-29) 30 complete scheme of operating the two Narkov chains to produce each synthetic hourly value. CHAPTER IV TESTING OF THE I'1ODEL Parameter Test Applications The purpose of testing a model for rainfall synthesis is to ensure...

Dale, Walter Marvin

2012-06-07T23:59:59.000Z

285

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

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

286

Energy Production Demonstrator for Megawatt Proton Beams  

E-Print Network [OSTI]

A preliminary study of the Energy Production Demonstrator (EPD) concept - a solid heavy metal target irradiated by GeV-range intense proton beams and producing more energy than consuming - is carried out. Neutron production, fission, energy deposition, energy gain, testing volume and helium production are simulated with the MARS15 code for tungsten, thorium, and natural uranium targets in the proton energy range 0.5 to 120 GeV. This study shows that the proton energy range of 2 to 4 GeV is optimal for both a natU EPD and the tungsten-based testing station that would be the most suitable for proton accelerator facilities. Conservative estimates, not including breeding and fission of plutonium, based on the simulations suggest that the proton beam current of 1 mA will be sufficient to produce 1 GW of thermal output power with the natU EPD while supplying < 8% of that power to operate the accelerator. The thermal analysis shows that the concept considered has a problem due to a possible core meltdown; however, a number of approaches (a beam rastering, in first place) are suggested to mitigate the issue. The efficiency of the considered EPD as a Materials Test Station (MTS) is also evaluated in this study.

Vitaly S. Pronskikh; Nikolai Mokhov; Igor Novitski; Sergey I. Tyutyunnikov

2014-07-16T23:59:59.000Z

287

Developing Mt. Hope: The megawatt line  

SciTech Connect (OSTI)

After facing numerous obstacles, including opposition and competition, the Mt. Hope pumped-storage project in New Jersey has been licensed by FERC. That license will allow a former iron ore mine site to be used in producing a new resource-hydroelectricity. In early August 1992, after more than seven years of effort, the 2,000-MW Mt. Hope Waterpower Project was licensed by the Federal Energy Regulatory Commission (FERC). Getting the $1.8 billion pumped-storage project licensed was not an easy task. It involved 54 submittals to FERC, six public meetings, and costs of more than $12 million. Along the way, the project has withstood competing applications, community opposition, and legal battles. Getting a project of this magnitude off the ground is a challenge for even the most experienced developer. The effort was especially challenging for the Halecrest Company, a local family-owned and operated firm with no previous experience in hydroelectric development. When financing became tight, creative ways were found to raise seed capital for the project. When hydroelectric experience was needed, the company developed a world-class corporate team that carried Mt. Hope through the complexities of the licensing process and beyond. With license now in hand, the project developers are ready to move forward with negotiating power sales contracts and securing construction financing. The resulting project will be the second largest pumped-storage facility in the country-second only to the 2,100-MW Bath County project in Virginia. Mt. Hope will take six years to construct and is scheduled to be phased into operation beginning in 1999.

Rodzianko, P.; Fisher, F.S.

1992-12-01T23:59:59.000Z

288

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

289

Statistical correlation between hourly and daily values of solar radiation on horizontal surface at sea level in the Italian climate  

E-Print Network [OSTI]

219- Statistical correlation between hourly and daily values of solar radiation on horizontal- nalières du rayonnement solaire. Abstract. 2014 The knowledge of hourly data of solar radiation is required data measured in Italian stations and propose a method to estimate hourly solar radiation

Boyer, Edmond

290

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

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

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

291

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

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

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

292

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

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

293

Developing hourly weather data for locations having only daily weather data  

SciTech Connect (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

294

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

SciTech Connect (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

295

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

296

Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours  

ScienceCinema (OSTI)

The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe. http://www.lbl.gov/cs/Archive/news091509.html

Applin, Bradford

2013-05-29T23:59:59.000Z

297

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

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

298

Cost-efficient staffing under annualized hours Egbert van der Veen1,2  

E-Print Network [OSTI]

. Our model is able to address various business questions regard- ing tactical workforce planning. In this paper we integrate two (tactical) workforce planning problems. The `annualized hours' problem workforce planning problems, as discussed in the previous para- graph. Second, with our model, several

Boucherie, Richard J.

299

Fee Name: Increase University Library Hours of Operation Measure #: Measure 42  

E-Print Network [OSTI]

a quiet, uninterrupted space for study. Greater access to the Library is a key component to the studentsFee Name: Increase University Library Hours of Operation Measure #: Measure 42 Ballot Information Shall the undergraduate and graduate students of UCSC provide funding for the University Library (Mc

California at Santa Cruz, University of

300

Graduation (research) project procedures -After the student completes 100 credit hours he may register for the  

E-Print Network [OSTI]

Graduation (research) project procedures - After the student completes 100 credit hours he may register for the graduation project module, and after registering this module and obtaining the approval of the adviser and registrar the procedures will begin according to the following: - 1) The student shall attend

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

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester 20072008 OPERATIONS RESEARCH 2 hours  

E-Print Network [OSTI]

four will be counted. 1 (i) A company owns a steam turbine power generating plant that generates its steam from coal. It wishes to maximise the steam output. This, however, may result in emission that does per hour. The plant receives two grades of pul- verised coal, C1 and C2, for use in the steam plant

302

BME BIOTECHNOLOGY CONCENTRATION F11 MS: 30 total credit hours minimum  

E-Print Network [OSTI]

BME BIOTECHNOLOGY CONCENTRATION ­ F11 MS: 30 total credit hours minimum Students last name begins: Michael Mayer, Ph.D. (mimayer@umich.edu) Biotechnology (one course): BIOMEDE 410 Design and Application of Engineering): At least one of the following: BIOLCHEM 515 Introductory Biochemistry (Biotechnology only)5 (3

Eustice, Ryan

303

BME BIOTECHNOLOGY CONCENTRATION F10 MS: 30 total credit hours minimum  

E-Print Network [OSTI]

BME BIOTECHNOLOGY CONCENTRATION ­ F10 MS: 30 total credit hours minimum Students last name begins: Michael Mayer, Ph.D. (mimayer@umich.edu) Biotechnology (one course): BIOMED E 410 Design and Application (Biotechnology only)5 (3) (I, II) BIOMED E 519 Quantitative Physiology (Tissue Engineering only)6 (4) (I) Other

Eustice, Ryan

304

BME BIOTECHNOLOGY CONCENTRATION F12 MS: 30 total credit hours minimum  

E-Print Network [OSTI]

BME BIOTECHNOLOGY CONCENTRATION ­ F12 MS: 30 total credit hours minimum Advisor: Michael Mayer, Ph.D. (mimayer@umich.edu) Biotechnology (one course): BIOMEDE 410 Design and Application of Biomaterials (3) (l)1 of Engineering): One course from this list: BIOLCHEM 515 Introductory Biochemistry (Biotechnology only)5 (3) (I

Kamat, Vineet R.

305

Chemistry 109 (3 credit hours) Honors General Chemistry Lecture, Part I; Fall 2014  

E-Print Network [OSTI]

of the book are available at the University Bookstore. Corequisite: CHE 129 ­ Honors General Chemistry introduce you to all areas of chemistry: physical, organic, inorganic, quantum, biophysical, and analyticalChemistry 109 (3 credit hours) Honors General Chemistry Lecture, Part I; Fall 2014 Instructor

Doyle, Robert

306

Impact of realistic hourly emissions profiles on air pollutants concentrations modelled with CHIMERE  

E-Print Network [OSTI]

Impact of realistic hourly emissions profiles on air pollutants concentrations modelled Keywords: Atmospheric composition European air quality Anthropogenic emissions a b s t r a c t Regional inputs data like anthropogenic surface emissions of NOx, VOCs and particulate matter. These emissions

Menut, Laurent

307

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

E-Print Network [OSTI]

LBNL-53729 After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-Load To download this paper and related data go to: http://enduse.lbl.gov/Projects/OffEqpt.html The work described.................................................................................................................................................5 Office Equipment Data Collection

308

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

309

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

310

BME BIOMEDICAL IMAGING CONCENTRATION F12 MS: 30 total credit hours minimum  

E-Print Network [OSTI]

BME BIOMEDICAL IMAGING CONCENTRATION ­ F12 MS: 30 total credit hours minimum Advisor: Luis Hernandez-Garcia, Ph.D. (hernan@umich.edu) Biomedical Imaging: BIOMEDE 5161 Medical Imaging Systems (3) (I)2 General: BIOMEDE 500 Biomedical Engineering Seminar (1) (I,II) BIOMEDE 550 Ethics and Enterprise (1) (I

Kamat, Vineet R.

311

BME BIOMEDICAL IMAGING CONCENTRATION F11 MS: 30 total credit hours minimum  

E-Print Network [OSTI]

BME BIOMEDICAL IMAGING CONCENTRATION ­ F11 MS: 30 total credit hours minimum Advisor: Luis Hernandez-Garcia, Ph.D. (hernan@umich.edu) Biomedical Imaging: BIOMEDE 5161 Medical Imaging Systems (3) (I)2 General: BIOMEDE 500 Biomedical Engineering Seminar (1) (I,II) BIOMEDE 550 Ethics and Enterprise (1) (I

Eustice, Ryan

312

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

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

313

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

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

314

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

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

315

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

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

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

316

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

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

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

317

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

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

318

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

SciTech Connect (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 authoritys 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 TermsSolar 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

319

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

SciTech Connect (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

320

A free real-time hourly tilted solar irradiation data Website for Europe  

E-Print Network [OSTI]

The engineering of solar power applications, such as photovoltaic energy (PV) or thermal solar energy requires the knowledge of the solar resource available for the solar energy system. This solar resource is generally obtained from datasets, and is either measured by ground-stations, through the use of pyranometers, or by satellites. The solar irradiation data are generally not free, and their cost can be high, in particular if high temporal resolution is required, such as hourly data. In this work, we present an alternative method to provide free hourly global solar tilted irradiation data for the whole European territory through a web platform. The method that we have developed generates solar irradiation data from a combination of clear-sky simulations and weather conditions data. The results are publicly available for free through Soweda, a Web interface. To our knowledge, this is the first time that hourly solar irradiance data are made available online, in real-time, and for free, to the public. The ac...

Leloux, Jonathan; Gonzalez-Bonilla, Loreto

2014-01-01T23:59:59.000Z

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.


321

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

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

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

322

Generating 24-Hour ECG, BP and Respiratory Signals with Realistic Linear and Nonlinear Clinical Characteristics Using a Nonlinear Model  

E-Print Network [OSTI]

Generating 24-Hour ECG, BP and Respiratory Signals with Realistic Linear and Nonlinear Clinical, London School of Economics, London, UK Abstract A nonlinear model for generating lifelike human ECG it to three ordinary differential equations, the model generates a 24-hour ECG signal. Using both standard

McSharry, Patrick E.

323

Dear Speaker -  

Energy Savers [EERE]

Industrial Electricity Prices 2008 2012 USA 68MWh 66MWh Germany 130MWh 148MWh Japan 115MWh 194MWh France 104MWh 116MWh Source: OECD Electricity Statistics 2013...

324

Cost Implications of Reduced Work Hours and Workloads for Resident Physicians  

Science Journals Connector (OSTI)

...substantial costs were not included. Shifting residents' work to substitute providers or an expanded population of residents would generate the labor costs. Secondary objectives included estimating potential net costs to major teaching hospitals and cost-effectiveness to society specifically, costs per averted... The Institute of Medicine recently made new recommendations to reduce the work hours and workload of residents. This economic analysis suggests that implementation of these recommendations would be costly (annual labor costs, $1.6 billion), but if they are highly effective in reducing patient harm, they may be cost-effective.

Nuckols T.K.Bhattacharya J.Wolman D.M.Ulmer C.Escarce J.J.

2009-05-21T23:59:59.000Z

325

Nuclear Spin, Hyperfine Structure, and Nuclear Moments of 64-Hour Yttrium-90  

Science Journals Connector (OSTI)

The atomic-beam magnetic-resonance method has been used to measure the nuclear spin and hyperfine-structure separations of 64-hour Y90. The results are I=2, a(D322)=-169.749(7) Mc/sec, b(D322)=-21.602(27) Mc/sec, a(D522)=-85.258(6) Mc/sec, b(D522)=-29.716(38) Mc/sec. The uncorrected nuclear moments calculated from these measurements are ?I=-1.623(8) nm, Q=-0.155(3) b.

F. Russell Petersen and Howard A. Shugart

1962-01-01T23:59:59.000Z

326

20K Hour GATEWAY Testing Results for I-35W Bridge Webinar  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the countrys oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for comparison purposes.

327

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

SciTech Connect (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

328

SeizAlert could give patients 4.5 hour warning of seizure  

ScienceCinema (OSTI)

One percent of Americans, 3 million people, suffer from epilepsy. And their lives are about to be dramatically changed by scientists at Oak Ridge National Laboratory. For 15 years, Dr. Lee Hively has been working on "SeizAlert", a seizure-detecting device that resembles a common PDA. "It allows us to analyze scalp brain waves and give us up to 4.5 hours' forewarning of that event," he said. With the help of partner Kara Kruse, he's now able to help patients predict the previously unpredictable.

Dr. Lee Hively and Kara Kruse

2010-01-08T23:59:59.000Z

329

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect (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

330

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

SciTech Connect (OSTI)

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 systems 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

331

A thirty-two clock hour driver education classroom curriculum guide  

E-Print Network [OSTI]

A THIRTY-TWO CLOCK HOUR DRIVER EDUCATION CLASSROOM CURRICULUM GUIDE A R e c o r d o f St u d y by WILLIAM LEE RICHARDSON S u b m i t t e d t o t h e O f f i c e o f G r a d u a t e S t u d i e s o f Texas A&M U n i v e r s i t y i n p a r t i... a l f u l f i l l m e n t o f t h e r e q u i r e m e n t s f o r t h e de g r e e o f DOCTOR OF EDUCATION December 1990 M a j o r S u b j e c t : I n d u s t r i a l E d u c a t i o n A THIRTY-TWO CLOCK HOUR DRIVER EDUCATION CLASSROOM...

Richardson, William Lee

2012-06-08T23:59:59.000Z

332

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

SciTech Connect (OSTI)

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

333

An Improved Procedure for Developing a Calibrated Hourly Simulation Model of an Electrically Heated and Cooled Commercial Buildling  

E-Print Network [OSTI]

, 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 IV hourly temperature-dependent energy use profiles, and 52-week box... 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 D0E-2.1D building simulation program to test the new...

Bou-Saada, Tarek Edmond

334

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

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

335

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

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

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

336

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

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

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

337

Detecting very long-lived gravitational-wave transients lasting hours to weeks  

E-Print Network [OSTI]

We explore the possibility of very long-lived gravitational-wave transients (and detector artifacts) lasting hours to weeks. Such very long signals are both interesting in their own right and as a potential source of systematic error in searches for persistent signals, e.g., from a stochastic gravitational-wave background. We review possible mechanisms for emission on these time scales and discuss computational challenges associated with their detection: namely, the substantial volume of data involved in a search for very long transients can require vast computer memory and processing time. These computational difficulties can be addressed through a form of data compression known as coarse-graining, in which information about short time spans is discarded in order to reduce the computational requirements of a search. Using data compression, we demonstrate an efficient radiometer (cross-correlation) algorithm for the detection of very long transients. In the process, we identify features of a very long transie...

Thrane, Eric; Christensen, Nelson

2015-01-01T23:59:59.000Z

338

Evaluation of T91 after 130,000 hours in service  

SciTech Connect (OSTI)

Two superheater tubes fabricated from T91 were removed for evaluation after 130,000 hours service. Regions of interest included a hot section that replaced type 321 stainless steel, dissimilar welds to type 321 stainless steel safe ends, and cold bends. The evaluation consisted of metallography, transmission electron microscopy (TEM) and precipitate analysis, hardness, tensile properties, creep, and stress rupture. Observed microstructure and properties of the tubing were compared with results on unexposed and thermally aged materials. Overall, the properties were similar to expectations. Substructural coarsening occurred which produced reductions in the short-time tensile and creep strength. However, ductility remained high. Corrosion was minimal, although somewhat greater on the fire side of the cold bend. Short oxide wedge cracks were observed at the dissimilar metal welds, and type 4 cracking was observed in an untempered region of a stainless steel attachment weld.

Swindeman, R.W.; Sikka, V.K.; Maziasz, P.J. [Oak Ridge National Lab., TN (United States). Metals and Ceramics Div.; Canonico, D.A. [ABB Combustion Engineering, Chattanooga, TN (United States)

1998-03-01T23:59:59.000Z

339

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

SciTech Connect (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

340

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

SciTech Connect (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

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

Workers at EMs West Valley Site Surpass 1 Million Hours without Lost-Time Accident  

Broader source: Energy.gov [DOE]

WEST VALLEY, N.Y. EMs cleanup contractor at the West Valley Demonstration Project (WVDP) recently marked 1 million work hours without a lost-time accident or illness.

342

American Energy Data Challenge Hackathons Apps For Energy: Turning Energy Data into Working Apps in 24 Hours  

Office of Energy Efficiency and Renewable Energy (EERE)

The Department of Energy's "Apps for Energy" Hackathons give dozens of app designers 24 hours to come up with working prototypes of apps that solve challenges using energy data.

343

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

E-Print Network [OSTI]

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...

Bou-Saada, Tarek Edmond

2012-06-07T23:59:59.000Z

344

Water Power for a Clean Energy Future (Fact Sheet)  

SciTech Connect (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

345

Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs  

SciTech Connect (OSTI)

The rollout of smart meters in the last several years has opened up new forms of previously unavailable energy data. Many utilities are now able in real-time to capture granular, household level interval usage data at very high-frequency levels for a large proportion of their residential and small commercial customer population. This can be linked to other time and locationspecific information, providing vast, constantly growing streams of rich data (sometimes referred to by the recently popular buzz word, big data). Within the energy industry there is increasing interest in tapping into the opportunities that these data can provide. What can we do with all of these data? The richness and granularity of these data enable many types of creative and cutting-edge analytics. Technically sophisticated and rigorous statistical techniques can be used to pull interesting insights out of this highfrequency, human-focused data. We at LBNL are calling this behavior analytics. This kind of analytics has the potential to provide tremendous value to a wide range of energy programs. For example, highly disaggregated and heterogeneous information about actual energy use would allow energy efficiency (EE) and/or demand response (DR) program implementers to target specific programs to specific households; would enable evaluation, measurement and verification (EM&V) of energy efficiency programs to be performed on a much shorter time horizon than was previously possible; and would provide better insights in to the energy and peak hour savings associated with specifics types of EE and DR programs (e.g., behavior-based (BB) programs). In this series, Insights from Smart Meters, we will present concrete, illustrative examples of the type of value that insights from behavior analytics of these data can provide (as well as pointing out its limitations). We will supply several types of key findings, including: Novel results, which answer questions the industry previously was unable to answer; Proof-of-concept analytics tools that can be adapted and used by others; and Guidelines and protocols that summarize analytical best practices. This report focuses on one example of the kind of value that analysis of this data can provide: insights into whether behavior-based (BB) efficiency programs have the potential to provide peak-hour energy savings.

Todd, Annika; Perry, Michael; Smith, Brian; Sullivan, Michael; Cappers, Peter; Goldman, Charles

2014-03-25T23:59:59.000Z

346

Detecting very long-lived gravitational-wave transients lasting hours to weeks  

E-Print Network [OSTI]

We explore the possibility of very long-lived gravitational-wave transients (and detector artifacts) lasting hours to weeks. Such very long signals are both interesting in their own right and as a potential source of systematic error in searches for persistent signals, e.g., from a stochastic gravitational-wave background. We review possible mechanisms for emission on these time scales and discuss computational challenges associated with their detection: namely, the substantial volume of data involved in a search for very long transients can require vast computer memory and processing time. These computational difficulties can be addressed through a form of data compression known as coarse-graining, in which information about short time spans is discarded in order to reduce the computational requirements of a search. Using data compression, we demonstrate an efficient radiometer (cross-correlation) algorithm for the detection of very long transients. In the process, we identify features of a very long transient search (related to the rotation of the Earth) that make it more complicated than a search for shorter transient signals. We implement suitable solutions.

Eric Thrane; Vuk Mandic; Nelson Christensen

2015-01-27T23:59:59.000Z

347

1. Sending some rejection notes to deals that we are going to pass on.about 14 hours ago via web  

E-Print Network [OSTI]

1. Sending some rejection notes to deals that we are going to pass on.about 14 hours ago via web 2 much action going on!about 14 hours ago via web 3. Just got new commitment from top tier venture firm for Series B funding for another portfolio company.about 14 hours ago via web 4. interview with a potential

Plotkin, Joshua B.

348

Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West  

Science Journals Connector (OSTI)

Abstract Assessing grid developments the spatial distribution of the electricity consumption is important. In Denmark the electricity grid consists of transmission and local distribution grids with different voltages that are connected via transformer stations each covering a local area with between 10.000 and 100.000 customers. Data for the hourly electricity consumption at transformer stations shows that the profile of consumption differs considerably between local areas, and this is partly due to a different weight of categories of customers in the different areas. Categories of customers have quite distinct consumption profiles and contribute quite differently to the aggregated load profile. In forecasts, demand by categories of customers is expected to develop differently implying that both the level and the profile of consumption at each transformer stations are expected to change differently. Still, in the previous planning of the transmission grid in Denmark specific local conditions have not been considered. As a first step towards differentiated local load forecasts, the paper presents a new model for long term projections of consumption in local areas and illustrates a first use of the model related to the transmission grid planning by the Danish TSO Energinet.dk. The model is a distribution system that distributes hourly consumption in an aggregated area to hourly consumption at each transformer station. Using econometrics, the model is estimated on national statistics for the hourly consumption by categories of customers and data for the hourly consumption at each transformer station for the years 20092011. Applying the model for load forecasts, a major conclusion is that different transformer stations will experience different changes both in the level - and in the hourly profile of load.

F.M. Andersen; H.V. Larsen; N. Juul; R.B. Gaardestrup

2014-01-01T23:59:59.000Z

349

Private Lessons (24 Credit Hours) Hours Conducting (2 Credit Hours)  

E-Print Network [OSTI]

Performance Emphasis 6 IPA Proficiency Exam**** MUSC 4996 Private Lessons IV Music Performance Emphasis 6. Private piano study may not be substituted for Class Piano or the Piano Proficiency Exam. ****IPA Proficiency Exam: All voice performance emphasis students must pass the IPA Proficiency Exam before taking

350

The influence of frequency of milking and nursing upon twenty four hour milk production of Hereford cows  

E-Print Network [OSTI]

and atght medium producing Holeteiae ta early or late lectsttoa. The cows werc hand~mtlhad for one and oae-half dsye at two-hour intervals aad were tn)ected with 10 X. U. of oaytocia bofors they ware milked. Rha hLgh producing cows ehouad a marked...

Chow, Guillermo

1964-01-01T23:59:59.000Z

351

CHEM 5510 Introduction to Laboratory Safety 1 credit course on chemical safety (1 hour course, Friday afternoons, Fall Semester)  

E-Print Network [OSTI]

with Chemicals. I (Heemstra) I. General Considerations (Chemical Segregation, Transfer and Transport, Chemical of the Cylinder, Cylinder Pressure Regulator, Stor- age Guidelines, Transporting Cylinders, Handling CompressedCHEM 5510 Introduction to Laboratory Safety ! 1 credit course on chemical safety (1 hour course

Simons, Jack

352

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) or pounds (cost). We want to know if these different communication units prime different motivations more broadly. This implies that considering carbon may result in wider changes in sustainable behaviour

McAuley, Derek

353

650 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 26, NO. 2, APRIL 2011 Hourly Scheduling of DC Transmission Lines in  

E-Print Network [OSTI]

Transmission Lines in SCUC With Voltage Source Converters Azim Lotfjou, Mohammad Shahidehpour, Fellow, IEEE transmission lines, se- curity-constrained unit commitment, voltage-source converters. NOMENCLATURE Index of ac;LOTFJOU et al.: HOURLY SCHEDULING OF DC TRANSMISSION LINES 651 , Vector of real and reactive power

Fu, Yong

354

"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

355

"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

356

"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

357

"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

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

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

359

"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

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

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.


361

"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

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

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

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

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

364

"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

365

"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

366

"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

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

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

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 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

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 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

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 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

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

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

372

"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

373

"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

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

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

375

"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

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

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

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

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

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

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

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 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

380

"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

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

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

382

"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

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

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

384

"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

385

"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

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

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

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

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

388

"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

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

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

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 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

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

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

392

"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

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

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

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

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

395

"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

396

"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

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

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

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 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

399

"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

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

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

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

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

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

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

403

"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

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

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

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

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

406

"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

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

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

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 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

409

"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

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 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

411

"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

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 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

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

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

414

"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

415

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

Open Energy Info (EERE)

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

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 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

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

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

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

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

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 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

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 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

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

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

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

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

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 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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

431

"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

432

Also visit my online sites on Facebook www.facebook.com/ceceiliajill or LinkedIn www.linkedin.com/in/ceceilia about 20 hours ago via web  

E-Print Network [OSTI]

.linkedin.com/in/ceceilia about 20 hours ago via web Love the online Profile that ShannonKelly did in PennCareerServices @PennCareerDay http://ulife.vpul.upenn.edu/careerservices/blog/?cat=92 about 20 hours ago via web Looong drive out starting point. about 20 hours ago via web Time to go out and have fun but will continue to tweet

Plotkin, Joshua B.

433

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

434

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

435

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

436

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

437

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

438

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

439

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

440

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

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  

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

442

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

443

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

444

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

445

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

446

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

447

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

448

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

449

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

450

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

451

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

452

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

453

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

454

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

455

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

456

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

457

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

458

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 (megawatthours) 49,687,166 26

459

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

460

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

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.


461

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

462

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

463

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

464

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

465

EIA - State Electricity Profiles  

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

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

466

EIA - State Electricity Profiles  

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

Missouri Electricity Profile 2010 Missouri profile Missouri Electricity Profile 2010 Missouri profile Table 1. 2010 Summary Statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 21,739 18 Electric Utilities 20,360 12 Independent Power Producers & Combined Heat and Power 1,378 39 Net Generation (megawatthours) 92,312,989 18 Electric Utilities 90,176,805 12 Independent Power Producers & Combined Heat and Power 2,136,184 46 Emissions (thousand metric tons) Sulfur Dioxide 233 8 Nitrogen Oxide 56 18 Carbon Dioxide 78,815 10 Sulfur Dioxide (lbs/MWh) 5.6 6 Nitrogen Oxide (lbs/MWh) 1.3 26 Carbon Dioxide (lbs/MWh) 1,882 7 Total Retail Sales (megawatthours) 86,085,117 17 Full Service Provider Sales (megawatthours) 86,085,117 15

467

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

468

EIA - State Electricity Profiles  

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

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

469

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

470

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

471

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

472

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

473

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

474

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

475

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

476

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

York Electricity Profile 2010 New York profile York Electricity Profile 2010 New York profile Table 1. 2010 Summary Statistics (New York) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 39,357 6 Electric Utilities 11,032 25 Independent Power Producers & Combined Heat and Power 28,325 5 Net Generation (megawatthours) 136,961,654 9 Electric Utilities 34,633,335 31 Independent Power Producers & Combined Heat and Power 102,328,319 5 Emissions (thousand metric tons) Sulfur Dioxide 62 25 Nitrogen Oxide 44 28 Carbon Dioxide 41,584 22 Sulfur Dioxide (lbs/MWh) 1.0 40 Nitrogen Oxide (lbs/MWh) 0.7 44 Carbon Dioxide (lbs/MWh) 669 42 Total Retail Sales (megawatthours) 144,623,573 7 Full Service Provider Sales (megawatthours) 79,119,769 18

477

EIA - State Electricity Profiles  

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

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

478

EIA - State Electricity Profiles  

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

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

479

EIA - State Electricity Profiles  

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

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

480

EIA - State Electricity Profiles  

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

Illinois Electricity Profile 2010 Illinois profile Illinois Electricity Profile 2010 Illinois profile Table 1. 2010 Summary Statistics (Illinois) Item Value U.S. Rank NERC Region(s) MRO/RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 44,127 5 Electric Utilities 4,800 35 Independent Power Producers & Combined Heat and Power 39,327 3 Net Generation (megawatthours) 201,351,872 5 Electric Utilities 12,418,332 35 Independent Power Producers & Combined Heat and Power 188,933,540 3 Emissions (thousand metric tons) Sulfur Dioxide 232 9 Nitrogen Oxide 83 8 Carbon Dioxide 103,128 6 Sulfur Dioxide (lbs/MWh) 2.5 25 Nitrogen Oxide (lbs/MWh) 0.9 38 Carbon Dioxide (lbs/MWh) 1,129 34 Total Retail Sales (megawatthours) 144,760,674 6 Full Service Provider Sales (megawatthours) 77,890,532 19

Note: This page contains sample records for the topic "mwh megawatt hour" from the National Library of EnergyBeta (NLEBeta).
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481

EIA - State Electricity Profiles  

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

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

482

EIA - State Electricity Profiles  

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

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

483

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 South Dakota profile Dakota Electricity Profile 2010 South Dakota profile Table 1. 2010 Summary Statistics (South Dakota) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,623 45 Electric Utilities 2,994 37 Independent Power Producers & Combined Heat and Power 629 48 Net Generation (megawatthours) 10,049,636 46 Electric Utilities 8,682,448 36 Independent Power Producers & Combined Heat and Power 1,367,188 47 Emissions (thousand metric tons) Sulfur Dioxide 12 43 Nitrogen Oxide 12 43 Carbon Dioxide 3,611 47 Sulfur Dioxide (lbs/MWh) 2.6 23 Nitrogen Oxide (lbs/MWh) 2.6 8 Carbon Dioxide (lbs/MWh) 792 41 Total Retail Sales (megawatthours) 11,356,149 46 Full Service Provider Sales (megawatthours) 11,356,149 42

484

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

485

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Electricity Profile 2010 Massachusetts profile Massachusetts Electricity Profile 2010 Massachusetts profile Table 1. 2010 Summary Statistics (Massachusetts) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 13,697 31 Electric Utilities 937 42 Independent Power Producers & Combined Heat and Power 12,760 8 Net Generation (megawatthours) 42,804,824 34 Electric Utilities 802,906 43 Independent Power Producers & Combined Heat and Power 42,001,918 10 Emissions (thousand metric tons) Sulfur Dioxide 35 31 Nitrogen Oxide 17 38 Carbon Dioxide 20,291 36 Sulfur Dioxide (lbs/MWh) 1.8 34 Nitrogen Oxide (lbs/MWh) 0.9 39 Carbon Dioxide (lbs/MWh) 1,045 38 Total Retail Sales (megawatthours) 57,123,422 26 Full Service Provider Sales (megawatthours) 31,822,942 34

486

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

487

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

488

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

489

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

490

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

491

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

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

492

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

493

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

494

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

495

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

496

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

497

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

498

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

499

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

500

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