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Note: This page contains sample records for the topic "total design capacity" 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.


1

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

High Capacity Cathodes Vehicle Technologies Office Merit Review 2014: Design and Evaluation of High Capacity Cathodes Design and Evaluation of Novel High Capacity Cathode Materials...

2

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

Design and Evaluation of Novel High Capacity Cathode Materials Design and Evaluation of Novel High Capacity Cathode Materials 2009 DOE Hydrogen Program and Vehicle Technologies...

3

Former Corporation/Refiner Total Atmospheric Crude Oil Distillation Capacity  

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

Former Corporation/Refiner Former Corporation/Refiner Total Atmospheric Crude Oil Distillation Capacity (bbl/cd) New Corporation/Refiner Date of Sale Table 12. Refinery Sales During 2012 Antelope Refining LLC Garco Energy LLC 3/12 Douglas, WY 3,800 Delta Air Lines/Monroe Energy LLC ConocoPhillips Company 4/12 Trainer, PA 185,000 Phillips 66 Company ConocoPhillips Company 5/12 Belle Chasse, LA 252,000 Billings, MT 59,000 Ferndale, WA 101,000 Linden, NJ 238,000 Ponca City, OK 198,400 Rodeo, CA 120,200 Sweeny, TX 247,000 Westlake, LA 239,400 Wilmington, CA 139,000 Nustar Asphalt LLC (50% Nustar Energy LP and 50% Lindsay Goldberg LLC) Nustar Energy LP/Nustar Asphalt Refining LLC 9/12 Paulsboro, NJ 70,000 Savannah, GA 28,000 Carlyle Group/Philadelphia Energy Solutions Refining and Marketing LLC Sunoco Inc./Sunoco Inc. R&M

4

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

and Evaluation of Novel High Capacity Cathode Materials Design and Evaluation of Novel High Capacity Cathode Materials 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle...

5

Design and Evaluation of Novel High Capacity Cathode Materials  

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

Design and Evaluation of Novel High Capacity Cathode Materials Christopher Johnson and Michael Thackeray Chemical Sciences and Engineering Division, Argonne Annual Merit Review DOE...

6

U.S. Total Shell Storage Capacity at Operable Refineries  

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

Area: U.S. East Coast (PADD 1) Midwest (PADD 2) Gulf Coast (PADD 3) Rocky Mountain (PADD 4) West Coast (PADD 5) Period: Area: U.S. East Coast (PADD 1) Midwest (PADD 2) Gulf Coast (PADD 3) Rocky Mountain (PADD 4) West Coast (PADD 5) Period: Annual (as of January 1) Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2008 2009 2010 2011 2012 2013 View History Total 765,593 758,619 710,413 -- -- -- 1982-2013 Crude Oil 180,830 179,471 180,846 -- -- -- 1985-2013 Liquefied Petroleum Gases 34,772 32,498 33,842 -- -- -- 1982-2013 Propane/Propylene 10,294 8,711 8,513 -- -- -- 1982-2013 Normal Butane/Butylene 24,478 23,787 25,329 -- -- -- 1982-2013 Other Liquids 95,540 96,973 96,157 -- -- -- 1982-2013 Oxygenates 1,336 1,028 1,005 -- -- -- 1994-2013

7

,"U.S. Working Natural Gas Total Underground Storage Capacity (MMcf)"  

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

Total Underground Storage Capacity (MMcf)" Total Underground Storage Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Working Natural Gas Total Underground Storage Capacity (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","nga_epg0_sacw0_nus_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/nga_epg0_sacw0_nus_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

8

Mechanism Design for Capacity Allocation with Price Competition  

E-Print Network [OSTI]

. This paper examines the problem of mechanism design for capacity allocation in two connected markets whereMechanism Design for Capacity Allocation with Price Competition Masabumi Furuhata Intelligent-users in price competition. We consider the problems of how allocation mechanisms in the upstream market de

Zhang, Dongmo

9

Design and Evaluation of High Capacity Cathodes  

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

to prepare advanced electrodes and surfaces with stable architectural designs Use atomic-scale modeling as a guide to identify, design and understand the structural...

10

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

17johnson2011p.pdf More Documents & Publications Design and Evaluation of Novel High Capacity Cathode Materials Lithium Source For High Performance Li-ion Cells Lithium Source...

11

,"U.S. Total Shell Storage Capacity at Operable Refineries"  

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

Shell Storage Capacity at Operable Refineries" Shell Storage Capacity at Operable Refineries" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Shell Storage Capacity at Operable Refineries",28,"Annual",2013,"6/30/1982" ,"Release Date:","6/21/2013" ,"Next Release Date:","6/20/2014" ,"Excel File Name:","pet_pnp_capshell_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_capshell_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

12

Service Capacity Design Problems for Mobility Allowance Shuttle Transit Systems  

E-Print Network [OSTI]

and utilizes a non-backtracking nearest-insertion algorithm, we derive closed-form approximate solutions for the service capacity design problem. We show that setting the length of the service area to half the travel service has a fixed base route that covers a specific geographic zone. Shuttles are allowed to deviate

Dessouky, Maged

13

Economics and Design of Capacity Markets for the Power Sector  

Science Journals Connector (OSTI)

Capacity markets are a means to assure resource adequacy. The need for a capacity market stems from several market failures the most prominent of which is the absence of a robust demand-side. Limited demand response

Peter Cramton; Axel Ockenfels

2012-06-01T23:59:59.000Z

14

Designing Rules for the Capacity Market Hlne Le Cadre Michal Soubra  

E-Print Network [OSTI]

Designing Rules for the Capacity Market Hélène Le Cadre Michaël Soubra MINES ParisTech, Centre per unit of demand. Finally, coupling the energy and the capacity markets, we design rules for the ca moral hazard and abuse of dominant positions. 1 Introduction Capacity markets have proven to be one

Paris-Sud XI, Université de

15

Correlation between Some Nutritional Components and the Total Antioxidant Capacity Measured with Six Different Assays in Eight Horticultural Crops  

Science Journals Connector (OSTI)

The contents of antioxidant nutritional compounds, total soluble phenolics (TSP), vitamin C, vitamin E, ?-carotene, and total carotenoids (TC), were correlated with the total antioxidant capacity (AOC) of hydrophilic (HPE) and lipophilic extracts (LPE) from eight horticultural crops, namely, guava, avocado, black sapote, mango, papaya, prickly pear fruit, cladodes, and strawberry. ... The homogenate was sonicated for 5 min in a Bransonic 2510 sonicator (Bransonic Ultrasonic Co., Danbury, CT) and then centrifuged at 19000g for 15 min at 2 C. ... This was further increased to 50 mL with HPLC-grade water and filtered through a 0.45 ?m membrane, and aliquots were taken for analysis. ...

Rene D. Corral-Aguayo; Elhadi M. Yahia; Armando Carrillo-Lopez; Gustavo Gonzlez-Aguilar

2008-10-28T23:59:59.000Z

16

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

the reaction is, in turn, intercalated into the negative electrode (i.e. graphite, graphene composites, intermetallics, Si-C composites, high-capacity TiO 2 (B bronze), TiO 2...

17

Free-cooling: A total HVAC design concept  

SciTech Connect (OSTI)

This paper discusses a total ''free cooling'' HVAC design concept in which mechanical refrigeration is practically obviated via the refined application of existing technological strategies and a new diffuser terminal. The principles being applied are as follows; Thermal Swing: This is the active contribution of programmed heat storage to overall HVAC system performance. Reverse Diffuser: This is a new air terminal design that facilitates manifesting the thermal storage gains. Developing the thermal storage equation system into a generalized simulation model, optimizing the thermal storage and operating strategies with a computer program and developing related algorithms are subsequently illustrated. Luminair Aspiration: This feature provides for exhausting all luminair heat totally out of the building envelope, via an exhaust duct system and insulated boots. Two/Three-Stage Evaporative Cooling: This concept comprises a system of air conditioning that entails a combination of closed and open loop evaporative cooling with standby refrigeration only.

Janeke, C.E.

1982-01-01T23:59:59.000Z

18

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

processing routes to prepare advanced electrodes with new architectural designs Use atomic-scale modeling as a guide to identify, design and understand the structural...

19

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

surface and bulk stability of electrodes at high electrochemical potentials Use atomic-scale modeling as a guide to identify, design and understand the structural...

20

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

Note: This page contains sample records for the topic "total design capacity" 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

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

22

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

23

Total Working Gas Capacity  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2008 2009 2010 2011 2012 View History U.S. 4,211,193 4,327,844 4,410,224 4,483,650 4,576,356 2008-2012 Alabama 20,900 20,900 25,150 27,350 27,350 2008-2012 Arkansas 14,500 13,898 13,898 12,036 12,178 2008-2012 California 283,796 296,096 311,096 335,396 349,296 2008-2012 Colorado 42,579 48,129 49,119 48,709 60,582 2008-2012 Illinois 296,318 303,761 303,500 302,385 302,962 2008-2012 Indiana 32,769 32,157 32,982 33,024 33,024 2008-2012 Iowa 87,350 87,414 90,613 91,113 90,313 2008-2012 Kansas 119,260 119,339 123,190 123,225 123,343 2008-2012 Kentucky

24

Total Working Gas Capacity  

Gasoline and Diesel Fuel Update (EIA)

12,178 2012-2014 California 374,296 374,296 374,296 374,296 374,296 374,296 2012-2014 Colorado 60,582 60,582 60,582 60,582 60,582 63,774 2012-2014 Illinois 303,312 303,312...

25

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

26

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

27

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

28

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

29

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

30

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

31

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

32

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

33

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

34

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

35

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

36

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

37

Design and development of a vehicle routing system under capacity, time-windows and rush-order reloading considerations  

E-Print Network [OSTI]

DESIGN AND DEVELOPMENT OF A VEHICLE ROUTING SYSTEM UNDER CAPACITY, TIME-WINDOWS AND RUSH-ORDER RELOADING CONSIDERATIONS A Thesis by GOPALAKRISHNAN EASWARAN Submitted to the Office of Graduate Studies of Texas A&M University... in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2003 Major Subject: Industrial Engineering DESIGN AND DEVELOPMENT OF A VEHICLE ROUTING SYSTEM UNDER CAPACITY, TIME-WINDOWS AND RUSH-ORDER RELOADING...

Easwaran, Gopalakrishnan

2004-11-15T23:59:59.000Z

38

"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"

39

Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Jay Taneja, Jaein Jeong, David Culler  

E-Print Network [OSTI]

Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein, micro-solar subsystem, and network, which is de- ployed in a challenging, deep forest setting. We the network. 1 Introduction The purpose of this paper is to provide a framework for the design of micro

Culler, David E.

40

Design and test results of a low-capacity solar cooling system in Alicante (Spain)  

Science Journals Connector (OSTI)

Despite its attractiveness, solar cooling technology is still in an early stage of development. Most installations currently in operation show differences in the collector area per kilowatt of cooling capacity that cannot be explained only by project-specific circumstances. The purpose of this paper was twofold. First, to answer some questions that came up during the design process of the plant by using a TRNSYS system model and statistical tools. Second, to gain knowledge about the plant operation and validate the TRNSYS model through measured data. The system was equipped with a flat-plate collector field of 38.4m2. A lithium bromide-water single-effect absorption chiller (17.6kW) was selected in order to provide chilled water to fan-coils. Performance data were registered at the solar plant working with a 1000-l heat storage tank and a required temperature of 80C to drive the absorption machine. An average of 29% of the solar energy incident on the solar collectors surface was transferred to the hot water storage. The registered average COP of the absorption chiller was 0.691. The performance data were compared with the values predicted by the TRNSYS plant model and a high level of agreement was obtained.

Pedro J. Martnez; Jos C. Martnez; Manuel Lucas

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

FAQs about Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

about Storage Capacity about Storage Capacity How do I determine if my tanks are in operation or idle or non-reportable? Refer to the following flowchart. Should idle capacity be included with working capacity? No, only report working capacity of tanks and caverns in operation, but not for idle tanks and caverns. Should working capacity match net available shell in operation/total net available shell capacity? Working capacity should be less than net available shell capacity because working capacity excludes contingency space and tank bottoms. What is the difference between net available shell capacity in operation and total net available shell capacity? Net available shell capacity in operation excludes capacity of idle tanks and caverns. What do you mean by transshipment tanks?

42

Design of a cluster analysis heuristic for the configuration and capacity management of manufacturing cells  

E-Print Network [OSTI]

This dissertation presents the configuration and capacity management of manufacturing cells using cluster analysis. A heuristic based on cluster analysis is developed to solve cell formation in cellular manufacturing systems (CMS). The clustering...

Shim, Young Hak

2007-09-17T23:59:59.000Z

43

int. j. prod. res., 01 June 2004, vol. 42, no. 11, 21972206 Strategic capacity planning in supply chain design for a new market  

E-Print Network [OSTI]

, capacity planning, transportation network design, identification of distributors in the potential marketint. j. prod. res., 01 June 2004, vol. 42, no. 11, 2197­2206 Strategic capacity planning in supply chain design for a new market opportunity SATYAVEER S. CHAUHANy, RAKESH NAGIz and JEAN-MARIE PROTHy

Nagi, Rakesh

44

Capacity estimation and code design principles for continuous phase modulation (CPM)  

E-Print Network [OSTI]

is represented as Y n = Sn + Zn 1 < n < Ns. The received signal is processed by the demodulator to produce the 12 symbol likelihoods (n) = [Prob(Xn = 0);Prob(Xn = 1);:::;Prob(Xn = M 1)] for each discrete time instant n 2 [1;2;:::;Ns]. The M-ary CPM modulator... the properties of the channel make it easy to find the distribution that maximizes the mutual information. For channels with memory the information theoretic definition of capacity is maximum of limn!1 1N I(XN1 ; Y N1 ) , over all possible distributions...

Ganesan, Aravind

2004-09-30T23:59:59.000Z

45

Vehicle Technologies Office Merit Review 2014: Design and Evaluation of High Capacity Cathodes  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about design and...

46

Attenuator design for organs at risk in total body irradiation using a translation technique  

SciTech Connect (OSTI)

Total body irradiation (TBI) is an efficient part of the treatment for malignant hematological diseases. Dynamic TBI techniques provide great advantages (e.g., dose homogeneity, patient comfort) while overcoming treatment room space restrictions. However, with dynamic techniques come additional organs at risk (OAR) protection challenges. In most dynamic TBI techniques, lead attenuators are used to diminish the dose received by the OARs. The purpose of this study was to characterize the dose deposition under various shapes of attenuators in static and dynamic treatments. This characterization allows for the development of a correction method to improve attenuator design in dynamic treatments. The dose deposition under attenuators at different depths in dynamic treatment was compared with the static situation based on two definitions: the coverage areas and the penumbra regions. The coverage area decreases with depth in dynamic treatment while it is stable for the static situation. The penumbra increases with depth in both treatment modes, but the increasing rate is higher in the dynamic situation. Since the attenuator coverage is deficient in the dynamic treatment mode, a correction method was developed to modify the attenuator design in order to improve the OAR protection. The correction method is divided in two steps. The first step is based on the use of elongation charts, which provide appropriate attenuator coverage and acceptable penumbra for a specific depth. The second point is a correction method for the thoracic inclination, which can introduce an orientation problem in both static and dynamic treatments. This two steps correction method is simple to use and personalized to each patient's anatomy. It can easily be adapted to any dynamic TBI techniques.

Lavallee, Marie-Claude; Aubin, Sylviane; Chretien, Mario; Larochelle, Marie; Beaulieu, Luc [Departement de Radio-Oncologie et Centre de Recherche en Cancerologie, CHUQ Pavillon L'Hotel-Dieu de Quebec, 11 Cote du Palais, Quebec, Quebec, G1R 2J6 (Canada) and Departement de Physique, de Genie Physique et d'Optique, Universite Laval, Quebec, Quebec, G1K 7P4 (Canada); Departement de Radio-Oncologie et Centre de Recherche en Cancerologie, CHUQ Pavillon L'Hotel-Dieu de Quebec, 11 Cote du Palais, Quebec, Quebec, G1R 2J6 (Canada); Departement de Radio-Oncologie et Centre de Recherche en Cancerologie, CHUQ, Pavillon L'Hotel-Dieu de Quebec, 11 Cote du Palais, Quebec, Quebec, G1R 2J6 (Canada) and Departement de Physique, de Genie Physique et d'Optique, Universite Laval, Quebec, Quebec, G1K 7P4 (Canada)

2008-05-15T23:59:59.000Z

47

Design of Refractory Linings for Balanced Energy Efficiency, Uptime, and Capacity in Lime Kilns  

SciTech Connect (OSTI)

The rotary kilns used by the pulp and paper industry to regenerate lime in the Kraft process are very energy intensive. Throughout the 90 s, in response to increasing fuel prices, the industry used back up insulation in conjunction with the high alumina brick used to line the burning zones of their kilns. While this improved energy efficiency, the practice of installing insulating brick behind the working lining increased the inner wall temperatures. In the worst case, due to the increased temperatures, rapid brick failures occurred causing unscheduled outages and expensive repairs. Despite these issues, for the most part, the industry continued to use insulating refractory linings in that the energy savings were large enough to offset any increase in the cost of maintaining the refractory lining. Due to the dramatic decline in the price of natural gas in some areas combined with mounting pressures to increasing production of existing assets, over the last decade, many mills are focusing more on increasing the uptime of their kilns as opposed to energy savings. To this end, a growing number of mills are using basic (magnesia based) brick instead of high alumina brick to line the burning zone of the kiln since the lime mud does not react with these bricks at the operating temperatures of the burning zone of the kiln. In the extreme case, a few mills have chosen to install basic brick in the front end of the kiln running a length equivalent to 10 diameters. While the use of basic brick can increase the uptime of the kiln and reduce the cost to maintain the refractory lining, it does dramatically increase the heat losses resulting from the increased operating temperatures of the shell. Also, over long periods of time operating at these high temperatures, damage can occur in the shell. There are tradeoffs between energy efficiency, capacity and uptime. When fuel prices are very high, it makes sense to insulate the lining. When fuel prices are lower, trading some thermal efficiency for increased uptime and capacity seems reasonable. This paper considers a number of refractory linings in an effort to develop optimized operating strategies that balance these factors. In addition to considering a range of refractory materials, the paper examines other factors such as the chain area, discharge dams and other operating variables that impact the service life of the refractory lining. The paper provides recommendations that will help mill personnel develop a strategy to select a refractory lining that is optimized for their specific situation.

Gorog, John Peter [ORNL; Hemrick, James Gordon [ORNL; Walker, Harold [Refratechnik North America, Inc.; Leary, William R [ORNL; Ellis, Murray [Australian Paper, Co.

2014-01-01T23:59:59.000Z

48

Novel Total Antioxidant Capacity Index for Dietary Polyphenols and Vitamins C and E, Using Their Cupric Ion Reducing Capability in the Presence of Neocuproine:? CUPRAC Method  

Science Journals Connector (OSTI)

The antioxidant polyphenolic compounds tested demonstrate that the highest capacities in the CUPRAC method were observed for epicatechin gallate, epigallocatechin gallate, quercetin, fisetin, epigallocatechin, catechin, and caffeic acid in this order, in accordance with theoretical expectations, because the number and position of the hydroxyl groups as well as the degree of conjugation of the whole molecule are important. ...

Re?at Apak; Kubilay Gl; Mustafa zyrek; Saliha Esin Karademir

2004-11-25T23:59:59.000Z

49

Reducing total fulfillment at costs at Amazon EU through network design optimization  

E-Print Network [OSTI]

A key supply chain management issue encountered by any business requiring a distribution system is in designing its distribution network. A distribution network configuration has both direct and indirect ongoing effects ...

Merriam, Ken (Ken A.)

2007-01-01T23:59:59.000Z

50

Design of Total Runoff Integrating Pathways (TRIP)A Global River Channel Network  

Science Journals Connector (OSTI)

As a first step toward designing a comprehensive model for validating land surface hydrology and river flow in Earth system models, a global river channel network has been prepared at 1 latitude 1 longitude resolution. The end product is the ...

Taikan Oki; Y. C. Sud

1998-01-01T23:59:59.000Z

51

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

52

Refinery Capacity Report  

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

1 1 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 14 10 4 1,617,500 1,205,000 412,500 1,708,500 1,273,500 435,000 ............................................................................................................................................... PAD District I 1 0 1 182,200 0 182,200 190,200 0 190,200 ................................................................................................................................................................................................................................................................................................ Delaware......................................

53

capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment

54

Fundamentals of Capacity Control  

Science Journals Connector (OSTI)

Whereas capacity planning determines in advance the capacities required to implement a production program, capacity control determines the actual capacities implemented shortly beforehand. The capacity control...

Prof. Dr.-Ing. habil. Hermann Ldding

2013-01-01T23:59:59.000Z

55

"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"

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","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"

57

Atmospheric Crude Oil Distillation Operable Capacity  

Gasoline and Diesel Fuel Update (EIA)

(Barrels per Calendar Day) (Barrels per Calendar Day) Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

58

Capacity Markets for Electricity  

E-Print Network [OSTI]

ternative Approaches for Power Capacity Markets, Papers andprof id=pjoskow. Capacity Markets for Electricity [13]Utility Commission- Capacity Market Questions, available at

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

59

Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

. . Underground Natural Gas Storage Capacity by State, December 31, 1996 (Capacity in Billion Cubic Feet) Table State Interstate Companies Intrastate Companies Independent Companies Total Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Number of Active Fields Capacity Percent of U.S. Capacity Alabama................. 0 0 1 3 0 0 1 3 0.04 Arkansas ................ 0 0 3 32 0 0 3 32 0.40 California................ 0 0 10 470 0 0 10 470 5.89 Colorado ................ 4 66 5 34 0 0 9 100 1.25 Illinois ..................... 6 259 24 639 0 0 30 898 11.26 Indiana ................... 6 16 22 97 0 0 28 113 1.42 Iowa ....................... 4 270 0 0 0 0 4 270 3.39 Kansas ................... 16 279 2 6 0 0 18 285 3.57 Kentucky ................ 6 167 18 49 0 0 24 216 2.71 Louisiana................ 8 530 4 25 0 0 12 555 6.95 Maryland ................ 1 62

60

Monitoring Infrastructure Capacity Monitoring Infrastructure Capacity  

E-Print Network [OSTI]

Levinson, D. (2000) Monitoring Infrastructure Capacity p. 165-181 in Land Market Monitoring for Smart Urban) task. Monitoring infrastructure capacity is at least as complex as monitoring urban land markets Levinson, D. (2000) Monitoring Infrastructure Capacity p. 165-181 in Land Market Monitoring for Smart Urban

Levinson, David M.

Note: This page contains sample records for the topic "total design capacity" 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

Refinery Capacity Report  

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

Report --- Full report in PDF (1 MB) XLS --- Refinery Capacity Data by individual refinery as of January 1, 2006 Tables 1 Number and Capacity of Operable Petroleum...

62

TOTAL Full-TOTAL Full-  

E-Print Network [OSTI]

Conducting - Orchestral 6 . . 6 5 1 . 6 5 . . 5 Conducting - Wind Ensemble 3 . . 3 2 . . 2 . 1 . 1 Early- X TOTAL Full- Part- X TOTAL Alternative Energy 6 . . 6 11 . . 11 13 2 . 15 Biomedical Engineering 52 English 71 . 4 75 70 . 4 74 72 . 3 75 Geosciences 9 . 1 10 15 . . 15 19 . . 19 History 37 1 2 40 28 3 3 34

Portman, Douglas

63

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

64

Property:InstalledCapacity | Open Energy Information  

Open Energy Info (EERE)

InstalledCapacity InstalledCapacity Jump to: navigation, search Property Name InstalledCapacity Property Type Quantity Description Installed Capacity (MW) or also known as Total Generator Nameplate Capacity (Rated Power) Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

65

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

66

Maintaining Productivity of Rural Area in Indonesia: A Perspective of Total Customers Involvement from Design to Maintenance of a Local Wind Pump (LWP) Application  

Science Journals Connector (OSTI)

A sustainable study development on a local wind pump (LWP) has been indicated as one of solutions for maintaining stable productivity of marginal societies (traditional farmers peasant and tribes) in facing multi crisis happened in Indonesia. Moreover the study is designed to assess the LWP by accommodating a total participation of the societies as targeted customers. The participation was formulated from design to maintenance stages of the LWP. The approaches of implementation a QFD method a field survey and life skill training have been fitted to the formulation. In this article significant achievements resulted by the approaches are reported. The QFD was adopted to classify all of the parameters constraints and boundaries which were obtained by questionnaire to the customers. All of the parameters were plotted in to a house of quality matrix (HOQ) which contributed to manufacture criteria and as well as maintenance criteria. The field study was accomplished in order to assess an availability value of the LWP components. The life skill training was conducted to equip manufacturing skill to the customers. Throughout the study it was observed that the LWP was manufactured by accommodating 90% of a local materials and local components available in district markets of Lampung province Indonesia. Throughout the survey critical parameters for a sustainable development of the LWP have been defined namely government protection capital investment for supplying component and maintenance networking for supporting the LWP performance. The life skill training given to the customers affected to incremental value of reliability in terms of maintenance skill. As a result the LWP was indicated as a local competitive product of renewable energy (RE) to the society.

Beny Yudiantoro; Ahmad Taufik

2007-01-01T23:59:59.000Z

67

Smart Design of Stand-Alone Solar PV System for Off Grid Electrification Projects  

Science Journals Connector (OSTI)

In order to design the configuration and optimum capacity of the energy storage system as well as the entire mini-grid system optimally and efficiently, the total load...

Parimita Mohanty; Tariq Muneer

2014-01-01T23:59:59.000Z

68

Property:PlannedCapacity | Open Energy Information  

Open Energy Info (EERE)

PlannedCapacity PlannedCapacity Jump to: navigation, search Property Name PlannedCapacity Property Type Quantity Description The total planned capacity for a given area, region or project. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

69

ORISE: Capacity Building  

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

Capacity Building Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute for Science and Education (ORISE) helps government agencies and organizations develop a solid infrastructure through capacity building. Capacity building refers to activities that improve an organization's ability to achieve its mission or a person's ability do his or her job more effectively. For organizations, capacity building may relate to almost any aspect of its work-from leadership and administration to program development and implementation. Strengthening an organizational infrastructure can help agencies and community-based organizations more quickly identify targeted audiences for

70

Hanford Waste Vitrification Plant capacity increase options  

SciTech Connect (OSTI)

Studies are being conducted by the Hanford Waste Vitrification Plant (HWVP) Project on ways to increase the waste processing capacity within the current Vitrification Building structural design. The Phase 1 study on remote systems concepts identification and extent of capacity increase was completed. The study concluded that the HWVP capacity could be increased to four times the current capacity with minor design adjustments to the fixed facility design, and the required design changes would not impact the current footprint of the vitrification building. A further increase in production capacity may be achievable but would require some technology development, verification testing, and a more systematic and extensive engineering evaluation. The primary changes included a single advance melter with a higher capacity, new evaporative feed tank, offgas quench collection tank, ejector venturi scrubbers, and additional inner canister closure station,a smear test station, a new close- coupled analytical facility, waste hold capacity of 400,000 gallon, the ability to concentrate out-of-plant HWVP feed to 90 g/L waste oxide concentration, and limited changes to the current base slab construction package.

Larson, D.E.

1996-04-01T23:59:59.000Z

71

Achieving increased spent fuel storage capacity at the High Flux Isotope Reactor (HFIR)  

SciTech Connect (OSTI)

The HFIR facility was originally designed to store approximately 25 spent cores, sufficient to allow for operational contingencies and for cooling prior to off-site shipment for reprocessing. The original capacity has now been increased to 60 positions, of which 53 are currently filled (September 1994). Additional spent cores are produced at a rate of about 10 or 11 per year. Continued HFIR operation, therefore, depends on a significant near-term expansion of the pool storage capacity, as well as on a future capability of reprocessing or other storage alternatives once the practical capacity of the pool is reached. To store the much larger inventory of spent fuel that may remain on-site under various future scenarios, the pool capacity is being increased in a phased manner through installation of a new multi-tier spent fuel rack design for higher density storage. A total of 143 positions was used for this paper as the maximum practical pool capacity without impacting operations; however, greater ultimate capacities were addressed in the supporting analyses and approval documents. This paper addresses issues related to the pool storage expansion including (1) seismic effects on the three-tier storage arrays, (2) thermal performance of the new arrays, (3) spent fuel cladding corrosion concerns related to the longer period of pool storage, and (4) impacts of increased spent fuel inventory on the pool water quality, water treatment systems, and LLLW volume.

Cook, D.H.; Chang, S.J.; Dabs, R.D.; Freels, J.D.; Morgan, K.A.; Rothrock, R.B. [Oak Ridge National Lab., TN (United States); Griess, J.C. [Griess (J.C.), Knoxville, TN (United States)

1994-12-31T23:59:59.000Z

72

EIA - Electricity Generating Capacity  

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

Electricity Generating Capacity Release Date: January 3, 2013 | Next Release: August 2013 Year Existing Units by Energy Source Unit Additions Unit Retirements 2011 XLS XLS XLS 2010...

73

First mideast capacity planned  

SciTech Connect (OSTI)

Kuwait catalyst Co.`s (KCC) plans to build a hydrodesulfurization (HDS) catalysts plant in Kuwait will mark the startup of the first refining catalysts production in the Persian Gulf region. KCC, owned by a conglomerate of Kuwait companies and governmental agencies, has licensed catalyst manufacturing technology from Japan Energy in a deal estimated at more than 7 billion ($62 million). Plant design will be based on technology from Orient Catalyst, Japan Energy`s catalysts division. Construction is expected to begin in January 1997 for production startup by January 1998. A source close to the deal says the new plant will eventually reach a capacity of 5,000 m.t./year of HDS catalysts to supply most of Kuwait`s estimated 3,500-m.t./year demand, driven primarily by Kuwait National Petroleum refineries. KCC also expects to supply demand from other catalyst consumers in the region. Alumina supply will be acquired on the open market. KCC will take all production from the plant and will be responsible for marketing.

Fattah, H.

1996-11-06T23:59:59.000Z

74

Ethylene capacity tops 77 million mty  

SciTech Connect (OSTI)

World ethylene production capacity is 77.8 million metric tons/year (mty). This total represents an increase of more than 6 million mty, or almost 9%, over last year`s survey. The biggest reason for the large change is more information about plants in the CIS. Also responsible for the increase in capacity is the start-up of several large ethylene plants during the past year. The paper discusses construction of ethylene plants, feedstocks, prices, new capacity, price outlook, and problems in Europe`s ethylene market.

Rhodes, A.K.; Knott, D.

1995-04-17T23:59:59.000Z

75

Liquid heat capacity lasers  

DOE Patents [OSTI]

The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

Comaskey, Brian J. (Walnut Creek, CA); Scheibner, Karl F. (Tracy, CA); Ault, Earl R. (Livermore, CA)

2007-05-01T23:59:59.000Z

76

Nanofluid heat capacities  

Science Journals Connector (OSTI)

Significant increases in the heat capacity of heat transfer fluids are needed not only to reduce the costs of liquid heating and cooling processes but also to bring clean energy producing technologies like concentrating solar power (CSP) to price parity with conventional energy generation. It has been postulated that nanofluids could have higher heat capacities than conventional fluids. In this work nano- and micron-sized particles were added to five base fluids (poly-? olefin mineral oil ethylene glycol a mixture of water and ethylene glycol and calcium nitrate tetrahydrate) and the resulting heat capacities were measured and compared with those of the neat base fluids and the weighted average of the heat capacities of the components. The particles used were inert metals and metal oxides that did not undergo any phase transitions over the temperature range studied. In the nanofluids studied here we found no increase in heat capacity upon the addition of the particles larger than the experimental error.

Anne K. Starace; Judith C. Gomez; Jun Wang; Sulolit Pradhan; Greg C. Glatzmaier

2011-01-01T23:59:59.000Z

77

Peak Underground Working Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

Definitions Definitions Definitions Since 2006, EIA has reported two measures of aggregate capacity, one based on demonstrated peak working gas storage, the other on working gas design capacity. Demonstrated Peak Working Gas Capacity: This measure sums the highest storage inventory level of working gas observed in each facility over the 5-year range from May 2005 to April 2010, as reported by the operator on the Form EIA-191M, "Monthly Underground Gas Storage Report." This data-driven estimate reflects actual operator experience. However, the timing for peaks for different fields need not coincide. Also, actual available maximum capacity for any storage facility may exceed its reported maximum storage level over the last 5 years, and is virtually certain to do so in the case of newly commissioned or expanded facilities. Therefore, this measure provides a conservative indicator of capacity that may understate the amount that can actually be stored.

78

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2006-2030) for Electricity Capacity and Generation by Fuel Tables (2006-2030) International Energy Outlook 2009 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2006-2030) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

79

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Formats Data Table Titles (1 to 12 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

80

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2007-2035) for Electricity Capacity and Generation by Fuel Tables (2007-2035) International Energy Outlook 2010 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2007-2035) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Appendix H. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

Note: This page contains sample records for the topic "total design capacity" 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

WINDExchange: Wind Potential Capacity  

Wind Powering America (EERE)

area with a gross capacity factor1 of 35% and higher, which may be suitable for wind energy development. AWS Truepower LLC produced the wind resource data with a spatial...

82

Panama Canal capacity analysis  

SciTech Connect (OSTI)

Predicting the transit capacities of the various Panama Canal alternatives required analyzing data on present Canal operations, adapting and extending an existing computer simulation model, performing simulation runs for each of the alternatives, and using the simulation model outputs to develop capacity estimates. These activities are summarized in this paper. A more complete account may be found in the project final report (TAMS 1993). Some of the material in this paper also appeared in a previously published paper (Rosselli, Bronzini, and Weekly 1994).

Bronzini, M.S. [Oak Ridge National Lab., Knoxville, TN (United States). Center for Transportation Analysis

1995-04-27T23:59:59.000Z

83

Unfolding the political capacities of design  

E-Print Network [OSTI]

+A+Cosmopolitics+of+Energy:+Diverging+Materialities+ and+technologies, like smart energy meters. Broadly defined,technologies is to render energy visible and controllable.

Domnguez Rubio, Fernando; Fogu, Uriel

2015-01-01T23:59:59.000Z

84

Unfolding the political capacities of design  

E-Print Network [OSTI]

models of sustainability and green architecture. The Houseabout sustainability and green architecture. Specifically,technology and architecture to unfold sustainability as a

Domnguez Rubio, Fernando; Fogu, Uriel

2015-01-01T23:59:59.000Z

85

Design and Evaluation of High Capacity Cathodes  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

86

Refinery Capacity Report  

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

Refinery Capacity Report Refinery Capacity Report June 2013 With Data as of January 1, 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table 1. Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2013

87

Dual capacity reciprocating compressor  

DOE Patents [OSTI]

A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

Wolfe, R.W.

1984-10-30T23:59:59.000Z

88

Dual capacity reciprocating compressor  

DOE Patents [OSTI]

A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

Wolfe, Robert W. (Wilkinsburg, PA)

1984-01-01T23:59:59.000Z

89

Refinery Capacity Report  

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

Refinery Capacity Report Refinery Capacity Report With Data as of January 1, 2013 | Release Date: June 21, 2013 | Next Release Date: June 20, 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1997 1995 1994 Go Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; and current and projected atmospheric crude oil distillation, downstream charge, and production capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions.

90

EIA - Natural Gas Pipeline Network - Pipeline Capacity and Utilization  

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

Pipeline Utilization & Capacity Pipeline Utilization & Capacity About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipeline Capacity & Utilization Overview | Utilization Rates | Integration of Storage | Varying Rates of Utilization | Measures of Utilization Overview of Pipeline Utilization Natural gas pipeline companies prefer to operate their systems as close to full capacity as possible to maximize their revenues. However, the average utilization rate (flow relative to design capacity) of a natural gas pipeline system seldom reaches 100%. Factors that contribute to outages include: Scheduled or unscheduled maintenance Temporary decreases in market demand Weather-related limitations to operations

91

Capacity of steganographic channels  

Science Journals Connector (OSTI)

An information-theoretic approach is used to determine the amount of information that may be safely transferred over a steganographic channel with a passive adversary. A steganographic channel, or stego-channel is a pair consisting of the channel transition ... Keywords: information spectrum, information theory, steganalysis, steganographic capacity, steganography, stego-channel

Jeremiah J. Harmsen; William A. Pearlman

2005-08-01T23:59:59.000Z

92

Barge Truck Total  

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

Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

93

PROJECT REPORT HVAC EQUIPMENT DEMOGRAPHICS AND CAPACITY  

E-Print Network [OSTI]

PROJECT REPORT HVAC EQUIPMENT DEMOGRAPHICS AND CAPACITY ANALYSIS TOOLS APPLICABLE TO MULTI Commercial HVAC Design Process 12 5.0 Conclusion 18 6.0 References 19 TABLE OF CONTENTS SECTIONS #12;MULTI performance by collectively improving the enve- lope, lighting and HVAC systems. The primary goals of the UC

California at Davis, University of

94

Capacity Value of Solar Power  

SciTech Connect (OSTI)

Evaluating the capacity value of renewable energy sources can pose significant challenges due to their variable and uncertain nature. In this paper the capacity value of solar power is investigated. Solar capacity value metrics and their associated calculation methodologies are reviewed and several solar capacity studies are summarized. The differences between wind and solar power are examined, the economic importance of solar capacity value is discussed and other assessments and recommendations are presented.

Duignan, Roisin; Dent, Chris; Mills, Andrew; Samaan, Nader A.; Milligan, Michael; Keane, Andrew; O'Malley, Mark

2012-11-10T23:59:59.000Z

95

Design  

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

Design Design of a Multithreaded Barnes-Hut Algorithm for Multicore Clusters Technical Report Junchao Zhang and Babak Behzad Department of Computer Science, University of Illinois at Urbana-Champaign {jczhang, bbehza2}@illinois.edu Marc Snir Department of Computer Science, University of Illinois at Urbana-Champaign and MCS Division, Argonne National Laboratory snir@anl.gov Abstract We describe in this paper an implementation of the Barnes-Hut al- gorithm on multicore clusters. Based on a partitioned global ad- dress space (PGAS) library, the design integrates intranode mul- tithreading and internode one-sided communication, exemplifying a PGAS + X programming style. Within a node, the computation is decomposed into tasks (subtasks), and multitasking is used to hide network latency. We study the tradeoffs between locality in private caches and locality in shared caches

96

GIZ-Best Practices in Capacity Building Approaches | Open Energy  

Open Energy Info (EERE)

GIZ-Best Practices in Capacity Building Approaches GIZ-Best Practices in Capacity Building Approaches Jump to: navigation, search Tool Summary LAUNCH TOOL Name: GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Agency/Company /Organization: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Sector: Energy, Climate Focus Area: Solar, Wind Resource Type: Publications, Training materials, Lessons learned/best practices Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com/w/images/8/80/Best_ Cost: Free GIZ-Best Practices in Capacity Building Approaches: Recommendations for the Design of a Long -Term Capacity Building Strategy for the Wind and Solar Sectors by the MEF Working Group Screenshot

97

Design options for clothes washers  

SciTech Connect (OSTI)

This report discusses possible design options for improving the energy efficiency of standard capacity, residential clothes washers.

Biermayer, Peter J.

1996-10-01T23:59:59.000Z

98

Spain Installed Wind Capacity Website | Open Energy Information  

Open Energy Info (EERE)

Spain Installed Wind Capacity Website Spain Installed Wind Capacity Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Spain Installed Wind Capacity Website Focus Area: Renewable Energy Topics: Market Analysis Website: www.gwec.net/index.php?id=131 Equivalent URI: cleanenergysolutions.org/content/spain-installed-wind-capacity-website Language: English Policies: Regulations Regulations: Feed-in Tariffs This website presents an overview of total installed wind energy capacity in Spain per year from 2000 to 2010. The page also presents the main market developments from 2010; a policy summary; a discussion of the revision in feed-in tariffs in 2010; and a future market outlook. References Retrieved from "http://en.openei.org/w/index.php?title=Spain_Installed_Wind_Capacity_Website&oldid=514562"

99

1993 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 2, Book 2, Capacity.  

SciTech Connect (OSTI)

Monthly totals of utility loads and capacities extrapolated as far as 2009 with a probability estimate of enough water resources for hydro power.

United States. Bonneville Power Administration.

1993-12-01T23:59:59.000Z

100

E-Print Network 3.0 - accurate heat capacity Sample Search Results  

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

test on concrete (called the QAB test) requires accurate knowledge of both the total heat loss... coefficient and heat capacity of the calorimeters introduced, with these...

Note: This page contains sample records for the topic "total design capacity" 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

Building Partnership Capacity and Sustainability in Financially Challenging Times  

E-Print Network [OSTI]

Building Partnership Capacity and Sustainability in Financially Challenging Times Introduction educational inequality. Partnership Question From the outset, the core objective was to design a sustainable that by focusing on capacity building and sustainability from the beginning, it is possible to build a partnership

102

Design Storm for Total Retention.pdf  

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

article, the publisher recognizes that the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or to...

103

The State Energy Program: Building Energy Efficiency and Renewable Energy Capacity in the States  

Broader source: Energy.gov [DOE]

This study documents the capacity-building effects that the federal State Energy Program (SEP) has had on the states' capacity to design, manage and implement energy efficiency and renewable energy programs.

104

Natural Gas Underground Storage Capacity (Summary)  

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

Total Working Gas Capacity Total Number of Existing Fields Period: Monthly Annual Total Working Gas Capacity Total Number of Existing Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 9,072,508 9,104,181 9,111,242 9,117,296 9,132,250 9,171,017 1989-2013 Alaska 83,592 83,592 83,592 83,592 83,592 83,592 2013-2013 Lower 48 States 8,988,916 9,020,589 9,027,650 9,033,704 9,048,658 9,087,425 2012-2013 Alabama 35,400 35,400 35,400 35,400 35,400 35,400 2002-2013 Arkansas 21,853 21,853 21,853 21,853 21,853 21,853 2002-2013 California 592,711 592,711 592,711 599,711 599,711 599,711 2002-2013 Colorado 122,086 122,086 122,086 122,086 122,086 122,086 2002-2013

105

AEO2011: Electricity Generating Capacity | OpenEI  

Open Energy Info (EERE)

Generating Capacity Generating Capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed

106

Kuwait pressing toward preinvasion oil production capacity  

SciTech Connect (OSTI)

Oil field reconstruction is shifting focus in Kuwait as the country races toward prewar production capacity of 2 million b/d. Oil flow last month reached 1.7 million b/d, thanks largely to a massive workover program that has accomplished about as much as it can. By midyear, most of the 19 rigs in Kuwait will be drilling rather than working over wells vandalized by retreating Iraqi troops in February 1991. Seventeen gathering centers are at work, with capacities totaling 2.4 million b/d, according to state-owned Kuwait Oil Co. (KOC). This article describes current work, the production infrastructure, facilities strategy, oil recovery, well repairs, a horizontal pilot project, the drilling program, the constant reminders of war, and heightened tensions.

Tippee, B.

1993-03-15T23:59:59.000Z

107

Working and Net Available Shell Storage Capacity  

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

Working Storage Capacity by PAD District as of September 30, 2013 Working Storage Capacity by PAD District as of September 30, 2013 (Thousand Barrels) Commodity 1 2 3 4 5 U.S. Total Ending Stocks Utilization Rate 1 Refineries Crude Oil 15,154 17,952 72,858 4,109 35,324 145,397 90,778 62% Fuel Ethanol 151 142 257 114 79 743 482 65% Natural Gas Plant Liquids and Liquefied Refinery Gases 2 1,149 10,996 24,902 581 2,219 39,847 19,539 49% Propane/Propylene (dedicated) 3 405 3,710 3,886 54 199 8,254 4,104 NA Motor Gasoline (incl. Motor Gasoline Blending Components)

108

Variations of Total Domination  

Science Journals Connector (OSTI)

The study of locatingdominating sets in graphs was pioneered by Slater[186, 187...], and this concept was later extended to total domination in graphs. A locatingtotal dominating set, abbreviated LTD-set, in G

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

109

Electric Capacity | OpenEI  

Open Energy Info (EERE)

Capacity Capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated December 15th, 2010 (3 years ago) Keywords Electric Capacity Electricity Generation New Zealand projections

110

Adaptive capacity and its assessment  

SciTech Connect (OSTI)

This paper reviews the concept of adaptive capacity and various approaches to assessing it, particularly with respect to climate variability and change. I find that adaptive capacity is a relatively under-researched topic within the sustainability science and global change communities, particularly since it is uniquely positioned to improve linkages between vulnerability and resilience research. I identify opportunities for advancing the measurement and characterization of adaptive capacity by combining insights from both vulnerability and resilience frameworks, and I suggest several assessment approaches for possible future development that draw from both frameworks and focus on analyzing the governance, institutions, and management that have helped foster adaptive capacity in light of recent climatic events.

Engle, Nathan L.

2011-04-20T23:59:59.000Z

111

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

112

Solar total energy project Shenandoah  

SciTech Connect (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

113

PJM's Capacity Market in a Price-Spike World Steven Stoft  

E-Print Network [OSTI]

PWP-077 PJM's Capacity Market in a Price-Spike World Steven Stoft May, 2000 This paper is part, California 94720-5180 www.ucei.org #12;PJM's Capacity Market in a Price-Spike World Steven Stoft 1 May 7, 2000 Abstract PJM's market was designed to rely on a capacity market instead of price-spikes to induce

California at Berkeley. University of

114

Underground Natural Gas Working Storage Capacity - Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Underground Natural Gas Working Storage Capacity Underground Natural Gas Working Storage Capacity With Data for November 2012 | Release Date: July 24, 2013 | Next Release Date: Spring 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 Go Overview Natural gas working storage capacity increased by about 2 percent in the Lower 48 states between November 2011 and November 2012. The U.S. Energy Information Administration (EIA) has two measures of working gas storage capacity, and both increased by similar amounts: Demonstrated maximum volume increased 1.8 percent to 4,265 billion cubic feet (Bcf) Design capacity increased 2.0 percent to 4,575 Bcf Maximum demonstrated working gas volume is an operational measure of the highest level of working gas reported at each storage facility at any time

115

Total Space Heat-  

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

Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

116

COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY  

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

COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY Empowering Communities in the Age of E-Government Prepared by Melinda Downing, Environmental Justice Program Manager, U.S. Department of Energy MAR 06 MARCH 2006 Since 1999, the Department of Energy has worked with the National Urban Internet and others to create community capacity through technology.  Empowering Communities in the Age of E-Government Table of Contents Message from the Environmental Justice Program Manager . . . . . . . . 3 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Partnerships. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Process Chart: From Agency to Community. . . . . . . . . . . . . . . . . . . 7 Case Studies. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

117

generation capacity | OpenEI  

Open Energy Info (EERE)

generation capacity generation capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote

118

High Capacity Immobilized Amine Sorbents  

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

Capacity Immobilized Amine Sorbents Capacity Immobilized Amine Sorbents Opportunity The Department of Energy's National Energy Technology Laboratory is seeking licensing partners interested in implementing United States Patent Number 7,288,136 entitled "High Capacity Immobilized Amine Sorbents." Disclosed in this patent is the invention of a method that facilitates the production of low-cost carbon dioxide (CO 2 ) sorbents for use in large-scale gas-solid processes. This method treats an amine to increase the number of secondary amine groups and impregnates the amine in a porous solid support. As a result of this improvement, the method increases CO 2 capture capacity and decreases the cost of using an amine-enriched solid sorbent in CO 2 capture systems. Overview The U.S. Department of Energy has placed a high priority on the separation

119

Parametric study of relay seismic capacity  

Science Journals Connector (OSTI)

An evaluation of the existing relay test data base at Brookhaven National Laboratory (BNL) has indicated that the seismic capacity of a relay may depend on various parameters related to the design or the input motion. In order to investigate the effect of these parameters on the seismic fragility level, BNL has conducted a relay test program. Establishing the correlation between the single frequency fragility test input and the corresponding multifrequency response spectrum (TRS) is also an objective of this test program. The testing has been performed at Wyle Laboratories. This paper discusses the methodology used for testing and presents a brief summary of important test results.

K. Bandyopadhyay; C. Hofmayer

1992-01-01T23:59:59.000Z

120

Plug and Process Loads Capacity and Power Requirements Analysis  

SciTech Connect (OSTI)

This report addresses gaps in actionable knowledge that would help reduce the plug load capacities designed into buildings. Prospective building occupants and real estate brokers lack accurate references for plug and process load (PPL) capacity requirements, so they often request 5-10 W/ft2 in their lease agreements. Limited initial data, however, suggest that actual PPL densities in leased buildings are substantially lower. Overestimating PPL capacity leads designers to oversize electrical infrastructure and cooling systems. Better guidance will enable improved sizing and design of these systems, decrease upfront capital costs, and allow systems to operate more energy efficiently. The main focus of this report is to provide industry with reliable, objective third-party guidance to address the information gap in typical PPL densities for commercial building tenants. This could drive changes in negotiations about PPL energy demands.

Sheppy, M.; Gentile-Polese, L.

2014-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

California Working Natural Gas Underground Storage Capacity ...  

Gasoline and Diesel Fuel Update (EIA)

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) California Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

122

California Working Natural Gas Underground Storage Capacity ...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) California Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

123

Economic Dispatch of Electric Generation Capacity | Department...  

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

Economic Dispatch of Electric Generation Capacity Economic Dispatch of Electric Generation Capacity A report to congress and the states pursuant to sections 1234 and 1832 of the...

124

Electrical Generating Capacities of Geothermal Slim Holes  

SciTech Connect (OSTI)

Theoretical calculations are presented to estimate the electrical generating capacity of the hot fluids discharged from individual geothermal wells using small wellhead generating equipment over a wide range of reservoir and operating conditions. The purpose is to appraise the possibility of employing slim holes (instead of conventional production-size wells) to power such generators for remote off-grid applications such as rural electrification in developing countries. Frequently, the generating capacity desired is less than one megawatt, and can be as low as 100 kilowatts; if slim holes can be usefully employed, overall project costs will be significantly reduced. This report presents the final results of the study. Both self-discharging wells and wells equipped with downhole pumps (either of the ''lineshaft'' or the ''submersible'' type) are examined. Several power plant designs are considered, including conventional single-flash backpressure and condensing steam turbines, binary plants, double-flash steam plants, and steam turbine/binary hybrid designs. Well inside diameters from 75 mm to 300 mm are considered; well depths vary from 300 to 1200 meters. Reservoir temperatures from 100 C to 240 C are examined, as are a variety of reservoir pressures and CO2 contents and well productivity index values.

Pritchett, J.W.

1998-10-01T23:59:59.000Z

125

production capacity | OpenEI  

Open Energy Info (EERE)

production capacity production capacity Dataset Summary Description No description given. Source Oak Ridge National Laboratory Date Released November 30th, 2009 (4 years ago) Date Updated Unknown Keywords biodiesel ethanol location production capacity transportation Data application/zip icon Biorefineries.zip (zip, 7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating.

126

installed capacity | OpenEI  

Open Energy Info (EERE)

installed capacity installed capacity Dataset Summary Description Estimates for each of the 50 states and the entire United States show Source Wind Powering America Date Released February 04th, 2010 (4 years ago) Date Updated April 13th, 2011 (3 years ago) Keywords annual generation installed capacity usa wind Data application/vnd.ms-excel icon Wind potential data (xls, 102.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government. Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments

127

Hybrid Zero-capacity Channels  

E-Print Network [OSTI]

There are only two known kinds of zero-capacity channels. The first kind produces entangled states that have positive partial transpose, and the second one - states that are cloneable. We consider the family of 'hybrid' quantum channels, which lies in the intersection of the above classes of channels and investigate its properties. It gives rise to the first explicit examples of the channels, which create bound entangled states that have the property of being cloneable to the arbitrary finite number of parties. Hybrid channels provide the first example of highly cloneable binding entanglement channels, for which known superactivation protocols must fail - superactivation is the effect where two channels each with zero quantum capacity having positive capacity when used together. We give two methods to construct a hybrid channel from any binding entanglement channel. We also find the low-dimensional counterparts of hybrid states - bipartite qubit states which are extendible and possess two-way key.

Sergii Strelchuk; Jonathan Oppenheim

2012-07-04T23:59:59.000Z

128

Building Regulatory Capacity for Change  

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

Regulatory Capacity for Regulatory Capacity for Change PRESENTED BY Sarah Spencer-Workman, LEED AP July 27, 2011 "How to identify and review laws relevant to buildings and find places and opportunities that can accept changes that would support building energy objectives" Presentation Highlights Rulemaking Community and Stakeholder Identification To Support Code Changes Engagement: Building Capacity for Change Pay It Forward RULEMAKING : Plan Development and Research of Laws Relevant to Buildings How is it conducted? 'Landscape' Review Key words or phrases to look for Identify "home rule" jurisdictions Update and review cycle built in 'Landscape' Review:

129

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

130

Property:Technology Nameplate Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Nameplate Capacity (MW) Nameplate Capacity (MW) Jump to: navigation, search Property Name Technology Nameplate Capacity (MW) Property Type String Pages using the property "Technology Nameplate Capacity (MW)" Showing 25 pages using this property. (previous 25) (next 25) M MHK Technologies/Aegir Dynamo + 100kW built and tested with 45kW 200kW and 1 4MW designs in development + MHK Technologies/AirWEC + 5kW + MHK Technologies/Aquantis + Proprietary + MHK Technologies/Atlantis AN 150 + 0 15 + MHK Technologies/Atlantis AR 1000 + 1 + MHK Technologies/Atlantis AS 400 + 0 4 + MHK Technologies/Bluetec + 1 + MHK Technologies/Current Power + from 10 kW and up + MHK Technologies/CurrentStar + 1 + MHK Technologies/Deep Green + 500 kW + MHK Technologies/Deep water capable hydrokinetic turbine + 30MW +

131

Commissioning : The Total Process  

E-Print Network [OSTI]

that rely on electronic control. Very frequently these systems and design features have not performed as expected. This can result in energy-efficiency losses. occupant complaints about comfort, indoor air quality problems. high operating costs...

Kettler, G. J.

1998-01-01T23:59:59.000Z

132

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

133

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

134

Total Precipitable Water  

SciTech Connect (OSTI)

The simulation was performed on 64K cores of Intrepid, running at 0.25 simulated-years-per-day and taking 25 million core-hours. This is the first simulation using both the CAM5 physics and the highly scalable spectral element dynamical core. The animation of Total Precipitable Water clearly shows hurricanes developing in the Atlantic and Pacific.

None

2012-01-01T23:59:59.000Z

135

Total Sustainability Humber College  

E-Print Network [OSTI]

1 Total Sustainability Management Humber College November, 2012 SUSTAINABILITY SYMPOSIUM Green An Impending Global Disaster #12;3 Sustainability is NOT Climate Remediation #12;Our Premises "We cannot, you cannot improve it" (Lord Kelvin) "First rule of sustainability is to align with natural forces

Thompson, Michael

136

1992 Annual Capacity Report. Revision 1  

SciTech Connect (OSTI)

The Standard Contract for Disposal of Spent Nuclear Fuel and/or High-Level Radioactive Waste (10 CFR Part 961) requires the Department of Energy (DOE) to issue an Annual Capacity Report (ACR) for planning purposes. This report is the fifth in the series published by DOE. In May 1993, DOE published the 1992 Acceptance Priority Ranking (APR) that established the order in which DOE will allocate projected acceptance capacity. As required by the Standard Contract, the acceptance priority ranking is based on the date the spent nuclear fuel (SNF) was permanently discharged, with the owners of the oldest SNF, on an industry-wide basis, given the highest priority. The 1992 ACR applies the projected waste acceptance rates in Table 2.1 to the 1992 APR, resulting in individual allocations for the owners and generators of the SNF. These allocations are listed in detail in the Appendix, and summarized in Table 3.1. The projected waste acceptance rates for SNF presented in Table 2.1 are nominal and assume a site for a Monitored Retrievable Storage (MRS) facility will be obtained; the facility will initiate operations in 1998; and the statutory linkages between the MRS facility and the repository set forth in the Nuclear Waste Policy Act of 1982, as amended (NWPA), will be modified. During the first ten years following projected commencement of Civilian Radioactive Waste Management System (CRWMS) operation, the total quantity of SNF that could be accepted is projected to be 8,200 metric tons of uranium (MTU). This is consistent with the storage capacity licensing conditions imposed on an MRS facility by the NWPA. The annual acceptance rates provide an approximation of the system throughput and are subject to change as the program progresses.

Not Available

1993-05-01T23:59:59.000Z

137

Maryland Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 64,000 64,000 64,000 64,000 64,000 64,000 1988-2012 Salt Caverns

138

Ohio Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 572,477 572,477 580,380 580,380 580,380 577,944 1988-2012

139

Texas Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 690,678 740,477 766,768 783,579 812,394 831,190 1988-2012

140

Kentucky Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 220,359 220,359 220,368 221,751 221,751 221,751 1988-2012

Note: This page contains sample records for the topic "total design capacity" 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

Oregon Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 29,415 29,415 29,565 29,565 29,565 28,750 1989-2012 Salt Caverns

142

Michigan Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 1,060,558 1,062,339 1,069,405 1,069,898 1,075,472 1,078,979

143

Tennessee Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 1,200 1,200 1,200 0 1998-2012 Salt Caverns 0 1999-2012

144

Alabama Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 19,300 26,900 26,900 32,900 35,400 35,400 1995-2012 Salt Caverns

145

Wyoming Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 114,067 111,167 111,120 111,120 106,764 124,937 1988-2012

146

Indiana Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 114,294 114,937 114,274 111,271 111,313 110,749 1988-2012

147

Louisiana Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 588,711 615,858 651,968 670,880 690,295 699,646 1988-2012

148

Montana Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 374,201 374,201 376,301 376,301 376,301 376,301 1988-2012

149

Virginia Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 9,560 6,200 9,500 9,500 9,500 9,500 1998-2012 Salt Caverns

150

Mississippi Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 166,909 187,251 210,128 235,638 240,241 289,416 1988-2012

151

Pennsylvania Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 759,365 759,153 776,964 776,822 776,845 774,309 1988-2012

152

Capacity Allocation with Competitive Retailers Masabumi Furuhata  

E-Print Network [OSTI]

to uncertainty of market demands, costly capacity construction and time consuming capacity expansion. This makes the market to be unstable and malfunc- tioning. Such a problem is known as the capacity allocation investigate the properties of capacity allocation mechanisms for the markets where a sin- gle supplier

Zhang, Dongmo

153

Improving Gas-Fired Heat Pump Capacity and Performance by Adding a Desiccant Dehumidification Subsystem  

E-Print Network [OSTI]

capacity 50%. Increased initial manufacturing costs are estimated at around $500/ton ($142/kW) for volume production. This cost Level is expected to reduce the total initial cost per ton compared to a system without the desiccant subsystem....

Parsons, B. K.; Pesaran, A. A.; Bharathan, D.; Shelpuk, B. C.

1990-01-01T23:59:59.000Z

154

Total isomerization gains flexibility  

SciTech Connect (OSTI)

Isomerization extends refinery flexibility to meet changing markets. TIP (Total Isomerization Process) allows conversion of paraffin fractions in the gasoline boiling region including straight run naptha, light reformate, aromatic unit raffinate, and hydrocrackate. The hysomer isomerization is compared to catalytic reforming. Isomerization routes are graphed. Cost estimates and suggestions on the use of other feedstocks are given. TIP can maximize gas production, reduce crude runs, and complement cat reforming. In four examples, TIP reduces reformer severity and increases reformer yield.

Symoniak, M.F.; Holcombe, T.C.

1983-05-01T23:59:59.000Z

155

Total solar house description and performance  

SciTech Connect (OSTI)

The initial attempt to apply the Total Solar concept to a residence in the Philadelphia, Pennsylvania, area is described. A very large storage capacity has made it possible to use only solar energy for meeting the heating, cooling and hot water needs for the entire year, with a parasitic power penalty of about 3500 kWh. Winter temperatures were maintained at 68/sup 0/F with 60/sup 0/F night setback, summer at 76/sup 0/F. Occupant intervention was negligible and passive overheat was minimized. The extra cost for the system, approximately $30,000 is readily amortized by the savings in purchased energy.

Starobin, L. (Univ. of Pennsylvania, Philadelphia); Starobin, J.

1981-01-01T23:59:59.000Z

156

OpenEI - Electric Capacity  

Open Energy Info (EERE)

New Zealand Energy New Zealand Energy Outlook (2010): Electricity and Generation Capacity http://en.openei.org/datasets/node/357 The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included.

License

157

High capacity immobilized amine sorbents  

DOE Patents [OSTI]

A method is provided for making low-cost CO.sub.2 sorbents that can be used in large-scale gas-solid processes. The improved method entails treating an amine to increase the number of secondary amine groups and impregnating the amine in a porous solid support. The method increases the CO.sub.2 capture capacity and decreases the cost of utilizing an amine-enriched solid sorbent in CO.sub.2 capture systems.

Gray, McMahan L. (Pittsburgh, PA); Champagne, Kenneth J. (Fredericktown, PA); Soong, Yee (Monroeville, PA); Filburn, Thomas (Granby, CT)

2007-10-30T23:59:59.000Z

158

Total quality management implementation guidelines  

SciTech Connect (OSTI)

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

159

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

160

electricity generating capacity | OpenEI  

Open Energy Info (EERE)

generating capacity generating capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity generating capacity datasets: annual operational electricity generation capacity by plant type (1975 - 2009); estimated generating capacity by fuel type for North Island, South Island and New Zealand (2009); and information on generating plants (plant type, name, owner, commissioned date, and capacity), as of December 2009. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords biomass coal Electric Capacity electricity generating capacity geothermal Hydro Natural Gas wind Data application/vnd.ms-excel icon Operational Electricity Generation Capacity by Plant Type (xls, 42.5 KiB)

Note: This page contains sample records for the topic "total design capacity" 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

Determination of Total Solids in Biomass and Total Dissolved...  

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

Total Solids in Biomass and Total Dissolved Solids in Liquid Process Samples Laboratory Analytical Procedure (LAP) Issue Date: 3312008 A. Sluiter, B. Hames, D. Hyman, C. Payne,...

162

U.S. Electric Net Summer Capacity, 2004 - 2008 | OpenEI  

Open Energy Info (EERE)

Net Summer Capacity, 2004 - 2008 Net Summer Capacity, 2004 - 2008 Dataset Summary Description Provides total annual net electric summer capacity (in megawatts) for the United States, broken down by renewable energy source (e.g. biomass, solar thermal/pv) and the nonrenewable total. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords biomass Electric Capacity geothermal PV solar thermal Summer wind Data application/vnd.ms-excel icon 2008_Net.Summer.Elec_.Capacity_EIA.Aug_.2010.xls (xls, 11.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2004 - 2008 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

163

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

164

The capacity of transmitting atomic qubit with light  

E-Print Network [OSTI]

The quantum information transfer between a single photon and a two-level atom is considered as a part of a quantum channel. The channel is a degradable channel even when there are decays of the atomic excited state and the single photon state, as far as the total excitation of the combined initial state does not exceed 1. The single letter formula for quantum capacity is obtained.

Xiao-yu Chen

2008-02-16T23:59:59.000Z

165

[working paper] Regional Economic Capacity, Economic Shocks,  

E-Print Network [OSTI]

1 [working paper] Regional Economic Capacity, Economic Shocks, and Economic that makes them more likely to resist economic shocks or to recover quickly from of resilience capacity developed by Foster (2012) is related to economic resilience

Sekhon, Jasjeet S.

166

Fair capacity sharing of multiple aperiodic servers  

E-Print Network [OSTI]

For handling multiple aperiodic tasks with different temporal requirements, multiple aperiodic servers are used. Since capacity is partitioned statically among the multiple servers, they suffer from heavy capacity exhaustions. Bernat and Burns...

Melapudi, Vinod Reddy

2002-01-01T23:59:59.000Z

167

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

168

Can Science and Technology Capacity be Measured?  

E-Print Network [OSTI]

The ability of a nation to participate in the global knowledge economy depends to some extent on its capacities in science and technology. In an effort to assess the capacity of different countries in science and technology, this article updates a classification scheme developed by RAND to measure science and technology capacity for 150 countries of the world.

Wagner, Caroline S; Dutta, Arindum

2015-01-01T23:59:59.000Z

169

Internal Markets for Supply Chain Capacity Allocation  

E-Print Network [OSTI]

Internal Markets for Supply Chain Capacity Allocation David McAdams and Thomas W. Malone Sloan David McAdams & Thomas Malone #12;Internal Markets for Supply Chain Capacity Allocation David Mc ("internal markets") to help allocate manufacturing capacity and determine the prices, delivery dates

170

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect (OSTI)

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

171

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

172

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

173

Examining Repository Loading Options to Expand Yucca Mountain Repository Capacity  

SciTech Connect (OSTI)

Siting a high level nuclear waste repository entails high economic, social, and political costs. Given the difficulty in siting the Yucca Mountain repository and the already identified need for additional capacity, the concept of expanding the capacity of the Yucca Mountain repository is of significant interest to the nuclear industry and the Department of Energy (DOE). As the capacity of the repository is limited by the decay heat inventory of the spent nuclear fuel in relation to the thermal design limits, expanding the capacity requires appropriate schemes for decay heat and spent fuel loading management. The current Yucca Mountain repository is based on a single level, fixed drift spacing design for a fixed area or footprint. Studies performed to date investigating the capacity of Yucca Mountain often assume that the loading of spent fuel is uniform throughout the repository and use the concept of a linear loading or areal power density (APD). However, use of linear loading or APD can be problematic with the various cooling times involved. The temperature within the repository at any point in time is controlled by the integral of the heat deposited in the repository. The integral of the decay heat varies as a function of pre-loading cooling periods even for a fixed linear loading. A meaningful repository capacity analysis requires the use of a computer model that describes the time-dependent temperature distributions of the rock from the dissipation of the heat through the repository system. If variations from the current Yucca Mountain repository design were to be considered, expanding the capacity of the repository would be pursued in several ways including: (1) increase the footprint size; (2) implement multiple-levels in the repository for the given footprint; (3) allow the drift distance to vary within thermal limits; and, (4) allow non-uniform loading of wastes into the drifts within thermal limits. Options (1) and (2) have been investigated by other researchers. This paper investigates options (3) and (4) for possible expansion of the Yucca Mountain repository capacity. To support the work, a thermal analysis model was needed to describe the temperature changes in the rock around the waste packages against the thermal design limits as a function of spent fuel characteristics and composition. Under the high temperature operating mode (HTOM), the relevant thermal design limits are: (1) the rock temperature midway between adjacent drifts must remain below the local boiling point (96 deg. C); and (2) the rock temperature at drift walls must remain below 200 deg. C. As the work involves a large number of calculations, examining the compliance within thermal design limits, the capability to perform efficient mountain-scale heat-transfer analyses was necessary. A related topic of importance in this investigation was also the effect of uncertainty. As the modeling exercise relies on the use of computational models, uncertainties are unavoidable and understanding the uncertainty in the interpretation of the results is important. The concept of variable drift spacing and variable drift thermal loading was investigated with respect to possible capacity expansion of the Yucca Mountain repository. Also, a computer model was developed for efficient repository heat transfer calculations and sensitivity and uncertainty analyses were performed to identify key parameters and to estimate the uncertainty in the results and understand how the repository capacity estimation would be affected by the uncertainty. (authors)

Li, Jun; Nicholson, Mark; Proctor, W. Cyrus; Yim, Man-Sung; McNelis, David [Department of Nuclear Engineering, North Carolina State University (United States)

2007-07-01T23:59:59.000Z

174

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

175

Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids  

Science Journals Connector (OSTI)

Ionic liquids (ILs) are amazing solvents gain an increasingly attention in the different areas of chemistry and chemical engineering industries during the past decade. Similar to every promising solvent, knowing the physiochemical properties of the \\{ILs\\} seems to be crucial to develop new designed \\{ILs\\} based industries. In this direction, the present study extends an artificial neural network (ANN) to correlate the binary heat capacity of ILs. To verify the proposed network, 1571 binary heat capacity data points were collected from the previously published literatures and divided in to two subsets namely training and testing subsets. The optimum parameters of the network including the number of hidden layer, numbers of neurons and transfer functions in hidden and output layers were obtained using these subsets data points. In addition, the predictive capability of the optimized network was validated using the testing data points (not considered in the training stage). The optimized network configuration consisted of one hidden layer with sixteen neurons and tansig and purelin transfer functions for the hidden and output layers. The obtained results from the training and test stages show that the proposed network was able to accurately predict the binary heat capacity of \\{ILs\\} binary mixtures with total absolute average relative deviation (AARD%) of 1.60% and relation coefficient (R2) value of 0.9975.

Mostafa Lashkarbolooki; Ali Zeinolabedini Hezave; Shahab Ayatollahi

2012-01-01T23:59:59.000Z

176

Multi-Objective Capacity Planning of a Pv-Wind-Diesel-Battery Hybrid Power System  

E-Print Network [OSTI]

A new solution methodology of the capacity design problem of a PV-Wind-Diesel-Battery Hybrid Power System (HPS) is presented. The problem is formulated as a Linear Programming (LP) model with two objectives: minimizing ...

Saif, A.

177

DOE Transmission Capacity Report | Department of Energy  

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

Transmission Capacity Report Transmission Capacity Report DOE Transmission Capacity Report DOE Transmission Capacity Report: Transmission lines, substations, circuit breakers, capacitors, and other equipment provide more than just a highway to deliver energy and power from generating units to distribution systems. Transmission systems both complement and substitute for generation. Transmission generally enhances reliability; lowers the cost of electricity delivered to consumers; limits the ability of generators to exercise market power; and provides flexibility to protect against uncertainties about future fuel prices, load growth, generator construction, and other factors affecting the electric system. DOE Transmission Capacity Report More Documents & Publications Report to Congress:Impacts of the Federal Energy Regulatory Commission's

178

Capacity Value of Concentrating Solar Power Plants  

SciTech Connect (OSTI)

This study estimates the capacity value of a concentrating solar power (CSP) plant at a variety of locations within the western United States. This is done by optimizing the operation of the CSP plant and by using the effective load carrying capability (ELCC) metric, which is a standard reliability-based capacity value estimation technique. Although the ELCC metric is the most accurate estimation technique, we show that a simpler capacity-factor-based approximation method can closely estimate the ELCC value. Without storage, the capacity value of CSP plants varies widely depending on the year and solar multiple. The average capacity value of plants evaluated ranged from 45%?90% with a solar multiple range of 1.0-1.5. When introducing thermal energy storage (TES), the capacity value of the CSP plant is more difficult to estimate since one must account for energy in storage. We apply a capacity-factor-based technique under two different market settings: an energy-only market and an energy and capacity market. Our results show that adding TES to a CSP plant can increase its capacity value significantly at all of the locations. Adding a single hour of TES significantly increases the capacity value above the no-TES case, and with four hours of storage or more, the average capacity value at all locations exceeds 90%.

Madaeni, S. H.; Sioshansi, R.; Denholm, P.

2011-06-01T23:59:59.000Z

179

Design and Evaluation of Novel High Capacity Cathode Materials  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

180

Outage Capacity and Code Design for Dying Channels  

E-Print Network [OSTI]

. The outage exponents are also studied to reveal how fast the outage probability improves over the number of sub-channels. Besides the information-theoretical results, we also study a practical coding scheme for the dying binary erasure channel (DBEC), which...

Zeng, Meng

2012-10-19T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

Design and Evaluation of Novel High Capacity Cathode Materials  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

182

Design and Evaluation of Novel High Capacity Cathode Materials  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

183

Design and Evaluation of Novel High Capacity Cathode Materials  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

184

Design and Evaluation of Novel High Capacity Cathode Materials...  

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

Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C. es017johnson2010o.pdf More Documents & Publications Lithium Source For High Performance Li-ion...

185

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... havior of the ratio of total quanta to total energy (Q : W) within the spectral region of photosynthetic ..... For blue-green waters, where hRmax lies.

2000-01-02T23:59:59.000Z

186

A high capacity microplate rack  

Science Journals Connector (OSTI)

A microplate rack has been designed for use with in vitro biological assays. The microplate rack can hold up to 15, 96-well ... gas diffusion) surrounding microplates arranged in the rack are more uniform than wh...

Glynn T. Faircloth; David Newman; Michael Young

1989-01-01T23:59:59.000Z

187

U.S. Refinery Utilization and Capacity  

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

Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Input to Atmospheric Crude Oil Distillation Units 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 Operable Capacity (Calendar Day) 17,814 17,815 17,815 17,815 17,815 17,818 1985-2013 Operating 17,005 17,228 17,239 17,450 17,439 17,623 1985-2013 Idle 809 587 576 365 376 195 1985-2013 Operable Utilization Rate (%) 85.8 88.2 91.7 92.6 91.5 90.7 1985-2013 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components due to independent rounding. See Definitions, Sources, and Notes link above for more information on this table. Release Date: 11/27/2013

188

TABLE 1. Nuclear Reactor, State, Type, Net Capacity, Generation...  

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

TABLE 1. Nuclear Reactor, State, Type, Net Capacity, Generation, and Capacity Factor " "PlantReactor Name","Generator ID","State","Type","2009 Summer Capacity"," 2010 Annual...

189

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)"

190

,"U.S. Underground Natural Gas Storage Capacity"  

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

3,"Monthly","9/2013","1/15/1989" 3,"Monthly","9/2013","1/15/1989" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ng_stor_cap_dcu_nus_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_stor_cap_dcu_nus_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"12/12/2013 7:03:21 PM" "Back to Contents","Data 1: U.S. Underground Natural Gas Storage Capacity" "Sourcekey","N5290US2","NGA_EPG0_SACW0_NUS_MMCF","NA1394_NUS_8" "Date","U.S. Total Natural Gas Underground Storage Capacity (MMcf)","U.S. Working Natural Gas Total Underground Storage Capacity (MMcf)","U.S. Natural Gas Count of Underground Storage Capacity (Count)"

191

Definition: Deferred Generation Capacity Investments | Open Energy  

Open Energy Info (EERE)

Generation Capacity Investments Generation Capacity Investments Utilities and grid operators ensure that generation capacity can serve the maximum amount of load that planning and operations forecasts indicate. The trouble is, this capacity is only required for very short periods each year, when demand peaks. Reducing peak demand and flattening the load curve should reduce the generation capacity required to service load and lead to cheaper electricity for customers.[1] Related Terms load, electricity generation, peak demand, smart grid References ↑ SmartGrid.gov 'Description of Benefits' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Deferred_Generation_Capacity_Investments&oldid=50257

192

Installed Geothermal Capacity | Open Energy Information  

Open Energy Info (EERE)

Geothermal Capacity Geothermal Capacity Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Installed Geothermal Capacity International Market Map of U.S. Geothermal Power Plants List of U.S. Geothermal Power Plants Throughout the world geothermal energy is looked at as a potential source of renewable base-load power. As of 2005 there was 8,933 MW of installed power capacity within 24 countries. The International Geothermal Association (IGA) reported 55,709 GWh per year of geothermal electricity. The generation from 2005 to 2010 increased to 67,246 GWh, representing a 20% increase in the 5 year period. The IGA has projected that by 2015 the new installed capacity will reach 18,500 MW, nearly 10,000 MW greater than 2005. [1] Countries with the greatest increase in installed capacity (MW) between

193

Property:MeanCapacity | Open Energy Information  

Open Energy Info (EERE)

MeanCapacity MeanCapacity Jump to: navigation, search Property Name MeanCapacity Property Type Quantity Description Mean capacity potential at location based on the USGS 2008 Geothermal Resource Assessment if the United States Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

194

Working and Net Available Shell Storage Capacity  

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

Working and Net Available Shell Storage Capacity Working and Net Available Shell Storage Capacity With Data for September 2013 | Release Date: November 27, 2013 | Next Release Date: May 29, 2013 Previous Issues Year: September 2013 March 2013 September 2012 March 2012 September 2011 March 2011 September 2010 Go Containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell storage capacity by type of facility, product, and Petroleum Administration for Defense District (PAD District). Net available shell storage capacity is broken down further to show the percent for exclusive use by facility operators and the percent leased to others. Crude oil storage capacity data are also provided for Cushing, Oklahoma, an

195

Definition: Nameplate Capacity | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Nameplate Capacity Jump to: navigation, search Dictionary.png Nameplate Capacity The maximum amount of electric energy that a generator can produce under specific conditions, as rated by the manufacturer. Generator nameplate capacity is expressed in some multiple of watts such as megawatts (MW), as indicated on a nameplate that is physically attached to the generator.[1] View on Wikipedia Wikipedia Definition Also Known As Capacity Related Terms electricity generation, power References ↑ http://www.nrc.gov/reading-rm/basic-ref/glossary/generator-nameplate-capacity.html Retr LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ieved from "http://en.openei.org/w/index.php?title=Definition:Nameplate_Capacity&oldid=480378"

196

EEI/DOE Transmission Capacity Report  

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

TRANSMISSION CAPACITY: TRANSMISSION CAPACITY: PRESENT STATUS AND FUTURE PROSPECTS Eric Hirst Consulting in Electric-Industry Restructuring Bellingham, Washington June 2004 Prepared for Energy Delivery Group Edison Electric Institute Washington, DC Russell Tucker, Project Manager and Office of Electric Transmission and Distribution U.S. Department of Energy Washington, DC Larry Mansueti, Project Manager ii iii CONTENTS Page SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v LIST OF ACRONYMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2. TRANSMISSION CAPACITY: DATA AND PROJECTIONS . . . . . . . . . . . . . . . . . . . 5 HISTORICAL DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 CURRENT CONDITIONS . . . . . . .

197

Quantum capacity of channel with thermal noise  

E-Print Network [OSTI]

The quantum capacity of thermal noise channel is studied. The extremal input state is obtained at the postulation that the coherent information is convex or concave at its vicinity. When the input energy tends to infinitive, it is verified by perturbation theory that the coherent information reaches its maximum at the product of identical thermal state input. The quantum capacity is obtained for lower noise channel and it is equal the one shot capacity.

Xiao-yu Chen

2006-02-11T23:59:59.000Z

198

Controlling the bullwhip with transport capacity constraints  

Science Journals Connector (OSTI)

The bullwhip effect can be costly to companies in terms of capacity-on costs and stock-out costs. This paper examines the possibilities for controlling the bullwhip effect with transport capacity management in the supply chain. The goal is to examine how inventories and service levels react to transport capacity constraints in a simulated supply chain that is prone to the bullwhip effect. By controlling the transport capacities, the companies may be able to reduce the impacts of demand amplification and inventory variations. Thus, there may be significant practical implications of the findings for logistics managers in today's volatile business environments.

Jouni Juntunen; Jari Juga

2009-01-01T23:59:59.000Z

199

,"California Underground Natural Gas Storage Capacity"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Underground Natural Gas Storage Capacity",12,"Annual",2013,"6301988" ,"Release...

200

Increasing the Capacity of Existing Power Lines  

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

works with Idaho Power engineers to train system operators in the use of weather station data and software tools to generate transmission capacity operat- ing limits. The ability...

Note: This page contains sample records for the topic "total design capacity" 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

Generation capacity expansion in restructured energy markets.  

E-Print Network [OSTI]

??With a significant number of states in the U.S. and countries around the world trading electricity in restructured markets, a sizeable proportion of capacity expansion (more)

Nanduri, Vishnuteja

2009-01-01T23:59:59.000Z

202

Increasing water holding capacity for irrigation  

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

Increasing water holding capacity for irrigation Reseachers recommend solutions for sediment trapping in irrigation system LANL and SNL leveraged technical expertise to determine...

203

Property:USGSMeanCapacity | Open Energy Information  

Open Energy Info (EERE)

Resource Assessment of the United States. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For...

204

Solar Energy and Capacity Value (Fact Sheet)  

SciTech Connect (OSTI)

This is a one-page, two-sided fact sheet on the capacity of solar power to provide value to utilities and power system operators.

Not Available

2013-09-01T23:59:59.000Z

205

,"New York Underground Natural Gas Storage Capacity"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Underground Natural Gas Storage Capacity",11,"Annual",2013,"6301988" ,"Release...

206

WINDExchange: U.S. Installed Wind Capacity  

Wind Powering America (EERE)

The animation shows the progress of installed wind capacity between 1999 and 2013. The Energy Department's annual Wind Technologies Market Report provides information about wind...

207

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-Distribución del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12;

Autonoma de Madrid, Universidad

208

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified).

2000-01-02T23:59:59.000Z

209

A Proposed Design for a Short-Term Resource Adequacy Program  

E-Print Network [OSTI]

is formulated so as to give incentives for providing capacity to markets and to mete out penalties for non the explicit representation of the strategic behavior of market players, capacity withholding impacts to the electricity market design area. Index Terms-- capacity payments, capacity requirements, capacity withholding

210

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

211

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

212

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

213

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

214

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

215

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

216

Total..............................................................  

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

217

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

218

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

219

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

220

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

Note: This page contains sample records for the topic "total design capacity" 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

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

222

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

223

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

224

Total....................................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

225

Total...................................................................  

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

226

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

227

Total..............................................................................  

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

228

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

229

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

230

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

231

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

232

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

233

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

234

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

235

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

236

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

237

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

238

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

239

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

240

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

Note: This page contains sample records for the topic "total design capacity" 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

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

242

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.7 0.5 0.2 Million U.S. Housing Units Home Electronics Usage Indicators Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region,...

243

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 1.8 1.2 0.5 Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005 Million U.S. Housing Units Home Appliances...

244

Total..........................................................  

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

... 2.8 1.1 0.7 Q 0.4 Million U.S. Housing Units Home Electronics Usage Indicators Table HC13.12 Home Electronics Usage Indicators by South Census Region,...

245

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 3.1 1.0 2.2 Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005 Million U.S. Housing Units Home Appliances...

246

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four Most Populated...

247

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 2.7 3.5 2.2 1.3 3.5 1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal...

248

Total..........................................................  

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

... 13.2 3.4 2.0 1.4 Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005 Million U.S. Housing Units Home Appliances...

249

Total..........................................................  

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

Census Region Northeast Midwest South West Million U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005...

250

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(as Self-Reported) City Town Suburbs Rural Million U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location,...

251

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 4.4 2.5 3.0 3.4 Table HC8.10 Home Appliances Usage Indicators by UrbanRural Location, 2005 Million U.S. Housing Units UrbanRural...

252

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.6 Q 0.5 Million U.S. Housing Units Home Electronics Usage Indicators Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005...

253

Total..........................................................  

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

... 13.2 4.9 2.3 1.1 1.5 Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005 Million U.S. Housing Units South Census Region...

254

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 51.9 7.0 4.8 2.2 Not Asked (Mobile Homes or Apartment in Buildings with 5 or More Units)... 23.7...

255

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

Housing Units Living Space Characteristics Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Single-Family Units Detached...

256

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment... 1.2 Q Q N Q Have Main Space Heating Equipment... 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating...

257

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

258

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

259

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

260

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

Note: This page contains sample records for the topic "total design capacity" 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

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

262

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

263

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

264

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

265

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

266

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

267

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

268

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

269

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

270

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

271

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

272

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

273

Representation of the Solar Capacity Value in the ReEDS Capacity...  

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

Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model Preprint Ben Sigrin, Patrick Sullivan, Eduardo Ibanez, and Robert Margolis Presented at the 40th...

274

On Quantum Capacity and its Bound  

E-Print Network [OSTI]

The quantum capacity of a pure quantum channel and that of classical-quantum-classical channel are discussed in detail based on the fully quantum mechanical mutual entropy. It is proved that the quantum capacity generalizes the so-called Holevo bound.

Masanori Ohya; Igor V. Volovich

2004-06-29T23:59:59.000Z

275

Evaluation of critical materials in five additional advance design photovoltaic cells  

SciTech Connect (OSTI)

The objective of this study is to identify potential material supply constraints due to the large-scale deployment of five advanced photovoltaic (PV) cell designs, and to suggest strategies to reduce the impacts of these production capacity limitations and potential future material shortages. The Critical Materials Assessment Program (CMAP) screens the designs and their supply chains and identifies potential shortages which might preclude large-scale use of the technologies. The results of the screening of five advanced PV cell designs are presented: (1) indium phosphide/cadmium sulfide, (2) zinc phosphide, (3) cadmium telluride/cadmium sulfide, (4) copper indium selenium, and (5) cadmium selenide photoelectrochemical. Each of these five cells is screened individually assuming that they first come online in 1991, and that 25 Gwe of peak capacity is online by the year 2000. A second computer screening assumes that each cell first comes online in 1991 and that each cell has a 5 GWe of peak capacity by the year 2000, so that the total online capacity for the five cells is 25 GWe. Based on a review of the preliminary baseline screening results, suggestions were made for varying such parameters as the layer thickness, cell production processes, etc. The resulting PV cell characterizations were then screened again by the CMAP computer code. The CMAP methodology used to identify critical materials is described; and detailed characterizations of the advanced photovoltaic cell designs under investigation, descriptions of additional cell production processes, and the results are presented. (WHK)

Smith, S.A.; Watts, R.L.; Martin, P.; Gurwell, W.E.

1981-02-01T23:59:59.000Z

276

Property:Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Capacity Jump to: navigation, search Property Name Capacity Property Type Quantity Description Potential electric energy generation, default units of megawatts. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

277

Planned Geothermal Capacity | Open Energy Information  

Open Energy Info (EERE)

Planned Geothermal Capacity Planned Geothermal Capacity Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Planned Geothermal Capacity This article is a stub. You can help OpenEI by expanding it. General List of Development Projects Map of Development Projects Planned Geothermal Capacity in the U.S. is reported by the Geothermal Energy Association via their Annual U.S. Geothermal Power Production and Development Report (April 2011). Related Pages: GEA Development Phases Geothermal Development Projects Add.png Add a new Geothermal Project Please be sure the project does not already exist in the list below before adding - perhaps under a different name. Technique Developer Phase Project Type Capacity Estimate (MW) Location Geothermal Area Geothermal Region GEA Report

278

Property:GeneratingCapacity | Open Energy Information  

Open Energy Info (EERE)

GeneratingCapacity GeneratingCapacity Jump to: navigation, search Property Name GeneratingCapacity Property Type Quantity Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS 0.000001 TW,terawatt,terawatts,Terawatt,Terawatts,TeraWatt,TeraWatts,TERAWATT,TERAWATTS

279

Definition: Deferred Distribution Capacity Investments | Open Energy  

Open Energy Info (EERE)

Deferred Distribution Capacity Investments Deferred Distribution Capacity Investments Jump to: navigation, search Dictionary.png Deferred Distribution Capacity Investments As with the transmission system, reducing the load and stress on distribution elements increases asset utilization and reduces the potential need for upgrades. Closer monitoring and load management on distribution feeders could potentially extend the time before upgrades or capacity additions are required.[1] Related Terms load, transmission lines, transmission line, sustainability References ↑ SmartGrid.gov 'Description of Benefits' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Deferred_Distribution_Capacity_Investments&oldid=502613

280

A robust approach to battery fuel gauging, part II: Real time capacity estimation  

Science Journals Connector (OSTI)

Abstract In this paper, the second of a series on battery fuel gauging, we present an approach for real time capacity estimation. In part I of this series, we presented a real time parameter estimation approach for various battery equivalent models. The proposed capacity estimation scheme has the following novel features: it employes total least squares (TLS) estimation in order to account for uncertainties in both model and the observations in capacity estimation. The TLS method can adaptively track changes in battery capacity. We propose a second approach to estimate battery capacity by exploiting reststates in the battery. This approach is devised to minimize the effect of hysteresis in capacity estimation. Finally, we propose a novel approach for optimally fusing capacity estimates obtained through different methods. Then, the proposed algorithm was validated using hardware-in-the-loop (HIL) data collected from commercially available Li-ion batteries. The proposed approach performs within 1% or better accuracy in terms of capacity estimation based on both simulated as well as HIL evaluations.

B. Balasingam; G.V. Avvari; B. Pattipati; K.R. Pattipati; Y. Bar-Shalom

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

CLEAN-Capacity Building and Training for Low Emissions Development Planning  

Open Energy Info (EERE)

CLEAN-Capacity Building and Training for Low Emissions Development Planning CLEAN-Capacity Building and Training for Low Emissions Development Planning Jump to: navigation, search Tool Summary Name: CLEAN-Capacity Building and Training for Low Emissions Development Planning Agency/Company /Organization: CLEAN, National Renewable Energy Laboratory Sector: Climate, Energy, Land Topics: Low emission development planning Resource Type: Presentation, Training materials, Video, Webinar Cost: Free References: CLEAN Webinar[1] Webinar Pre sentations CLEAN PPT 5 20 2011 (2).pdf TNA Capacity Building- webinar CLEAN-24 May 2011 Final.pdf ESMAP-CLEAN 20110524.pdf Announcement The Coordinated Low Emissions Assistance Network (CLEAN) will be offering a free webinar on Low Emission Development Strategies (LEDS): Capacity Building and Training to explore activity design, lessons learned, future

282

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

283

Better Building Alliance, Plug and Process Loads in Commercial Buildings: Capacity and Power Requirement Analysis (Brochure)  

SciTech Connect (OSTI)

This brochure addresses gaps in actionable knowledge that can help reduce the plug load capacities designed into buildings. Prospective building occupants and real estate brokers lack accurate references for plug and process load (PPL) capacity requirements, so they often request 5-10 W/ft2 in their lease agreements. This brochure should be used to make these decisions so systems can operate more energy efficiently; upfront capital costs will also decrease. This information can also be used to drive changes in negotiations about PPL energy demands. It should enable brokers and tenants to agree about lower PPL capacities. Owner-occupied buildings will also benefit. Overestimating PPL capacity leads designers to oversize electrical infrastructure and cooling systems.

Not Available

2014-09-01T23:59:59.000Z

284

Photovoltaics effective capacity: Interim final report 2  

SciTech Connect (OSTI)

The authors provide solid evidence, based on more than 8 million data points, that regional photovoltaic (PV) effective capacity is largely unrelated to the region`s solar resource. They confirm, however, that effective capacity is strongly related to load-shape characteristics. The load-shape effective-capacity relationship appears to be valid for end-use loads as small as 100 kW, except possibly in the case of electrically heated buildings. This relationship was used as a tool to produce a US map of PV`s effective capacity. The regions of highest effective capacities include (1) the central US from the northern Great Plains to the metropolitan areas of Chicago and Detroit, down to the lower Mississippi Valley, (2) California and western Arizona, and (3) the northeast metropolitan corridor. The features of this map are considerably different from the traditional solar resource maps. They tend to reflect the socio-economic and climatic factors that indirectly drive PV`s effective capacity: e.g., commercial air-conditioning, little use of electric heat, and strong summer heat waves. The map provides a new and significant insight to a comprehensive valuation of the PV resource. The authors assembled preliminary evidence showing that end-use load type may be related to PV`s effective capacity. Highest effective capacities were found for (nonelectrically heated) office buildings, followed by hospitals. Lowest capacities were found for airports and residences. Many more data points are needed, however, to ascertain and characterize these preliminary findings.

Perez, R.; Seals, R. [State Univ. of New York, Albany, NY (United States). Atmospheric Sciences Research Center

1997-11-01T23:59:59.000Z

285

Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model: Preprint  

SciTech Connect (OSTI)

An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons--despite not being resolved at an hourly scale.

Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

2014-08-01T23:59:59.000Z

286

Preparing Guyana's REDD+ Participation: Developing Capacities for  

Open Energy Info (EERE)

Guyana's REDD+ Participation: Developing Capacities for Guyana's REDD+ Participation: Developing Capacities for Monitoring, Reporting and Verification Jump to: navigation, search Name Preparing Guyana's REDD+ Participation: Developing Capacities for Monitoring, Reporting and Verification Agency/Company /Organization Guyana Forestry Commission, The Government of Norway Sector Land Focus Area Forestry Topics Implementation, Policies/deployment programs, Background analysis Resource Type Workshop, Guide/manual Website http://unfccc.int/files/method Country Guyana UN Region Latin America and the Caribbean References Preparing Guyana's REDD+ Participation[1] Overview "In this context, the overall goal of the activities reported here are to develop a road map for the establishment of a MRV system for REDD+

287

wind power capacity | OpenEI  

Open Energy Info (EERE)

capacity capacity Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international

288

Total Sky Imager (TSI) Handbook  

SciTech Connect (OSTI)

The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees.

Morris, VR

2005-06-01T23:59:59.000Z

289

renewable energy generating capacity | OpenEI  

Open Energy Info (EERE)

energy generating capacity energy generating capacity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 16, and contains only the reference case. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO generation renewable energy renewable energy generating capacity Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

290

U.S. Refinery Utilization and Capacity  

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

2008 2009 2010 2011 2012 2013 View History Gross Input to Atmospheric Crude Oil Distillation Units 15,027 14,659 15,177 15,289 15,373 15,724 1985-2013 Operable Capacity (Calendar...

291

Information capacity of a single photon  

Science Journals Connector (OSTI)

Quantum states of light are the obvious choice for communicating quantum information. To date, encoding information into the polarization states of single photons has been widely used as these states form a natural closed two-state qubit. However, photons are able to encode much morein principle, infiniteinformation via the continuous spatiotemporal degrees of freedom. Here we consider the information capacity of an optical quantum channel, such as an optical fiber, where a spectrally encoded single photon is the means of communication. We use the Holevo bound to calculate an upper bound on the channel capacity, and relate this to the spectral encoding basis and the spectral properties of the channel. Further, we derive analytic bounds on the capacity of such channels, and, in the case of a symmetric two-state encoding, calculate the exact capacity of the corresponding channel.

Peter P. Rohde; Joseph F. Fitzsimons; Alexei Gilchrist

2013-08-09T23:59:59.000Z

292

Information capacity of holograms in photorefractive crystals  

Science Journals Connector (OSTI)

From a single measurement of the signal-to-noise ratio of the image reconstructed from a hologram it is possible to estimate the information capacity of superimposed holograms and to...

Miridonov, S V; Kamshilin, A A; Khomenko, A V; Tentori, D

1994-01-01T23:59:59.000Z

293

Internal Markets for Supply Chain Capacity Allocation  

E-Print Network [OSTI]

This paper explores the possibility of solving supply chain capacity allocation problems using internal markets among employees of the same company. Unlike earlier forms of transfer pricing, IT now makes it easier for such ...

McAdams, David

2005-07-08T23:59:59.000Z

294

Tripling the capacity of wireless communications using  

E-Print Network [OSTI]

channels of electric-®eld polarization for wireless communication. In order to make our statements more................................................................. Tripling the capacity of wireless .............................................................................................................................................. Wireless communications are a fundamental part of modern information infrastructure. But wireless bandwidth

295

Heat Capacity as A Witness of Entanglement  

E-Print Network [OSTI]

We demonstrate that the presence of entanglement in macroscopic bodies (e.g. solids) in thermodynamical equilibrium could be revealed by measuring heat-capacity. The idea is that if the system were in a separable state, then for certain Hamiltonians heat capacity would not tend asymptotically to zero as the temperature approaches absolute zero. Since this would contradict the third law of thermodynamics, one concludes that the system must contain entanglement. The separable bounds are obtained by minimization of the heat capacity over separable states and using its universal low-temperature behavior. Our results open up a possibility to use standard experimental techniques of solid state physics -- namely, heat capacity measurements -- to detect entanglement in macroscopic samples.

Marcin Wiesniak; Vlatko Vedral; Caslav Brukner

2005-08-26T23:59:59.000Z

296

Measuring the capacity impacts of demand response  

SciTech Connect (OSTI)

Critical peak pricing and peak time rebate programs offer benefits by increasing system reliability, and therefore, reducing capacity needs of the electric power system. These benefits, however, decrease substantially as the size of the programs grows relative to the system size. More flexible schemes for deployment of demand response can help address the decreasing returns to scale in capacity value, but more flexible demand response has decreasing returns to scale as well. (author)

Earle, Robert; Kahn, Edward P.; Macan, Edo

2009-07-15T23:59:59.000Z

297

Capacity factors and solar job creation  

Science Journals Connector (OSTI)

We discuss two main job creation statistics often used by solar advocates to support increased solar deployment. Whilst overall solar technologies have a tendency to be labor-intensive, we find that the jobs per gigawatt hour statistic is relatively mis-leading as it has a tendency to reward technologies that have a low capacity factor. Ultimately the lower the capacity factor the more amplified the solar job creation number.

Matt Croucher

2011-01-01T23:59:59.000Z

298

DECENTRALIZING SEMICONDUCTOR CAPACITY PLANNING VIA INTERNAL MARKET COORDINATION  

E-Print Network [OSTI]

1 DECENTRALIZING SEMICONDUCTOR CAPACITY PLANNING VIA INTERNAL MARKET COORDINATION SULEYMAN KARABUK semiconductor manufacturer: marketing managers reserve capacity from manufacturing based on product demands, while attempting to maximize profit; manufacturing managers allocate capacity to competing marketing

Wu, David

299

Increasing the Capacity of Existing Power Lines | Department...  

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

Increasing the Capacity of Existing Power Lines Increasing the Capacity of Existing Power Lines The capacity of the grid has been largely unchanged for decades and needs to expand...

300

Representation of Solar Capacity Value in the ReEDS Capacity Expansion Model  

SciTech Connect (OSTI)

An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity, are considered to be the most robust and widely-accepted techniques for addressing this resource variability. This report compares estimates of solar PV capacity value by the Regional Energy Deployment System (ReEDS) capacity expansion model against two sources. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels. The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution. Two results are relevant for other capacity-based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower. Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity.

Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

2014-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

Colorado Working Natural Gas Underground Storage Capacity (Million...  

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

Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Colorado Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

302

Expanded Capacity Microwave-Cleaned Diesel Particulate Filter...  

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

Expanded Capacity Microwave-Cleaned Diesel Particulate Filter Expanded Capacity Microwave-Cleaned Diesel Particulate Filter 2002 DEER Conference Presentation: Industrial Ceramic...

303

"Assessment of the Adequacy of Natural Gas Pipeline Capacity...  

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

"Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States" Report Now Available "Assessment of the Adequacy of Natural Gas Pipeline Capacity in...

304

Assessment of the Adequacy of Natural Gas Pipeline Capacity in...  

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

Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States - November 2013 Assessment of the Adequacy of Natural Gas Pipeline Capacity in the...

305

Los Alamos Neutron Science Center gets capacity boost  

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

Neutron Science Center capacity boost Los Alamos Neutron Science Center gets capacity boost The facility can simulate the effects of hundreds or thousands of years of...

306

Working and Net Available Shell Storage Capacity as of September...  

Gasoline and Diesel Fuel Update (EIA)

capacity and also allows for tracking seasonal shifts in petroleum product usage of tanks and underground storage. Using the new storage capacity data, it will be possible to...

307

Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production...  

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

15eswise2012p.pdf More Documents & Publications Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production Expansion of Novolyte Capacity for Lithium Ion Electrolyte...

308

Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production...  

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

15eswise2011p.pdf More Documents & Publications Expansion of Novolyte Capacity for Lithium Ion Electrolyte Production Expansion of Novolyte Capacity for Lithium Ion Electrolyte...

309

Guatemala-Enhancing Capacity for Low Emission Development Strategies...  

Open Energy Info (EERE)

Guatemala-Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Guatemala-Enhancing Capacity for Low Emission Development Strategies...

310

Kazakhstan-Enhancing Capacity for Low Emission Development Strategies...  

Open Energy Info (EERE)

Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) Jump to: navigation, search Name Kazakhstan-Enhancing Capacity for Low Emission Development Strategies...

311

Study Finds 54 Gigawatts of Offshore Wind Capacity Technically...  

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

Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030 Study Finds 54 Gigawatts of Offshore Wind Capacity Technically Possible by 2030 September 11, 2014 -...

312

California Natural Gas Count of Underground Storage Capacity...  

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

Count of Underground Storage Capacity (Number of Elements) California Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3...

313

National CHP Roadmap: Doubling Combined Heat and Power Capacity...  

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

National CHP Roadmap: Doubling Combined Heat and Power Capacity in the United States by 2010, March 2001 National CHP Roadmap: Doubling Combined Heat and Power Capacity in the...

314

High-capacity hydrogen storage in lithium and sodium amidoboranes...  

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

capacity hydrogen storage in lithium and sodium amidoboranes. High-capacity hydrogen storage in lithium and sodium amidoboranes. Abstract: A substantial effort worldwide has been...

315

Solid-State Hydrogen Storage: Storage Capacity,Thermodynamics...  

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

Hydrogen Storage: Storage Capacity,Thermodynamics and Kinetics. Solid-State Hydrogen Storage: Storage Capacity,Thermodynamics and Kinetics. Abstract: Solid-state reversible...

316

Development of High-Capacity Cathode Materials with Integrated...  

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

Development of High-Capacity Cathode Materials with Integrated Structures Development of High-Capacity Cathode Materials with Integrated Structures 2013 DOE Hydrogen and Fuel Cells...

317

Development of high-capacity cathode materials with integrated...  

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

Development of high-capacity cathode materials with integrated structures Development of high-capacity cathode materials with integrated structures 2009 DOE Hydrogen Program and...

318

,,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back...  

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

Other",,,"All Technologies" ,,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back MWh",,,,,"Capacity MW",,,,,"Number of Meters",,,,,"Energy Sold Back...

319

Africa - CCS capacity building | Open Energy Information  

Open Energy Info (EERE)

Africa - CCS capacity building Africa - CCS capacity building Jump to: navigation, search Name Africa - CCS capacity building Agency/Company /Organization Energy Research Centre of the Netherlands Partner EECG Consultants, the University of Maputo, the Desert Research Foundation Namibia and the South Africa New Energy Research Institute Sector Energy Focus Area Conventional Energy Resource Type Training materials Website http://www.ccs-africa.org/ Program Start 2010 Program End 2011 Country Botswana, Mozambique, Namibia UN Region "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

320

DOE mixed waste treatment capacity analysis  

SciTech Connect (OSTI)

This initial DOE-wide analysis compares the reported national capacity for treatment of mixed wastes with the calculated need for treatment capacity based on both a full treatment of mixed low-level and transuranic wastes to the Land Disposal Restrictions and on treatment of transuranic wastes to the WIPP waste acceptance criteria. The status of treatment capacity is reported based on a fifty-element matrix of radiation-handling requirements and functional treatment technology categories. The report defines the classifications for the assessment, describes the models used for the calculations, provides results from the analysis, and includes appendices of the waste treatment facilities data and the waste stream data used in the analysis.

Ross, W.A.; Wehrman, R.R.; Young, J.R.; Shaver, S.R.

1994-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

Ethical receptive capacity and teaching business ethics  

Science Journals Connector (OSTI)

In this study, we proposed the ethical receptive capacity (ERC) perspective on teaching business ethics. The ERC perspective was developed on two premises: the separation of personal moral values and professional ethics, and the path dependent nature of professional ethics, such that individuals in the early stage of their profession have higher ERC (i.e., individuals' capacity to receive ethical contents) and thus are more receptive to new ethical contents prescribed to them. The experimental results in this study supported the ERC perspective, suggesting that business ethics education should be introduced to students as early as possible in their business programme.

Chanchai Tangpong; Michael D. Michalisin; Jin Li

2012-01-01T23:59:59.000Z

322

The effect of rain on freeway capacity  

E-Print Network [OSTI]

. The procedure used was basically a process of selection and processing of data from historical records. The facility used as a source of traific information was t' he Gulf Freeway in Houston, Texas, and rs. infall records were obtained from the Weather... to separate acceptable data, and the accepted capacity figures were related to the weather condition of wet or dry which prevs. iled on the relevant occs. sion. The results showed that rain does have a significant effect on freevray capacity which is very...

Jones, Edward Roy

2012-06-07T23:59:59.000Z

323

Definition: Capacity Benefit Margin | Open Energy Information  

Open Energy Info (EERE)

Benefit Margin Benefit Margin Jump to: navigation, search Dictionary.png Capacity Benefit Margin The amount of firm transmission transfer capability preserved by the transmission provider for Load- Serving Entities (LSEs), whose loads are located on that Transmission Service Provider's system, to enable access by the LSEs to generation from interconnected systems to meet generation reliability requirements. Preservation of CBM for an LSE allows that entity to reduce its installed generating capacity below that which may otherwise have been necessary without interconnections to meet its generation reliability requirements. The transmission transfer capability preserved as CBM is intended to be used by the LSE only in times of emergency generation deficiencies.[1] Related Terms

324

Design and laboratory testing of an unequal parallel multicompressor supermarket refrigeration system with a microprocessor-based electronic control system  

SciTech Connect (OSTI)

The Supermarket Energy Systems Program was structured to investigate and develop new highly energy-efficient supermarket systems. A supermarket refrigeration system consisting of: unequal parallel compressors; condenser with floating head-pressure control; and micoprocessor-based electronic control system was analyzed, designed, and tested. The total system capacity is 35 hp and three compressors of 5, 10, and 20 hp capacity were determined to be the optimum number and capacity distribution. Compared to the conventional supermarket refrigeration systems, the three unequal parallel compressor systems with R-12 will demonstrate a maximum annual energy savings of 29,100 kWhr or 26% and with R-502 will demonstrate a maximum annual energy savings of 20,100 kWhr or 15%. A compressor capacity control algorithm was designed to select the optimum compressor combination for each operating condition to match compressor capacity to refrigeration load. A microprocessor system based on an Intel 8085 microprocessor was selected for system control and data acquisition. The economic analysis revealed that for a payback period of 3 years or less, an added microprocessor-based electronic controls cost between $500 to $1500 is acceptable. Testing was performed on the unequal parallel compressor system over a refrigeration load range of 78,000 to 160,000 Btu/h. For refrigerant R-12, the increase in the energy efficiency ratio (EER) for the microprocessor-based electronic control system as compared to the mechanical pressure control system ranged from 9.8 to 12.5%

Toscano, W.M.; Oven, M.J.; Walker, D.H.; Vineyard, E.A.; Cooper, W.L. Jr.

1982-01-01T23:59:59.000Z

325

Total Natural Gas Gross Withdrawals (Summary)  

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

Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity...

326

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

327

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

328

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

329

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

330

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

331

Power, Capacity, and Efficiency of Pumps  

Science Journals Connector (OSTI)

Power, Capacity, and Efficiency of Pumps ... p. motor through a 40-foot head, friction head included, efficiency of the pump being 50 per cent, join the 40 (column A ) with the 50 per cent (column E ) and locate the intersection with column C . ...

W. F. SCHAPHORST

1940-08-10T23:59:59.000Z

332

Building Environmental Health Capacity in Allegheny County  

E-Print Network [OSTI]

Building Environmental Health Capacity in Allegheny County: Environmental Indicators Outcomes standard Air Quality Computer Systems Days exceeding ozone standard Air Quality Computer Systems Attainment of the annual PM-2.5 standard (Fine particulates) Air Quality Computer Systems Annual PM-2.5 level Air Quality

333

Fagatele Bay National Marine Sanctuary GIS Capacity  

E-Print Network [OSTI]

Report, configuration notes American Samoa Spatial Data Infrastructure Maps GIS Data CDs Operating System, a number of issues regarding map projections and datums were resolved allowing GIS users to processFagatele Bay National Marine Sanctuary GIS Capacity Binder Index Background 2 Hardware, Software

Wright, Dawn Jeannine

334

CSEM WP 124 Capacity Markets for Electricity  

E-Print Network [OSTI]

CSEM WP 124 Capacity Markets for Electricity Anna Creti, LEEERNA, University of Toulouse for Electricity Anna Creti LEEERNA, University of Toulouse Natalia Fabra Universidad Carlos III de Madrid February 2004 Abstract The creation of electricity markets has raised the fundamental question as to whether

California at Berkeley. University of

335

Capacity Building in Wind Energy for PICs  

E-Print Network [OSTI]

1 Capacity Building in Wind Energy for PICs Presentation of the project Regional Workshop Suva hydropower is relatively important (Papua New Guinea, Fiji and Samoa · The traditional use of wind energy has indicates that significant wind energy potential exists. · A monitoring project showed that in Rarotonga

336

Partial energies fluctuations and negative heat capacities  

E-Print Network [OSTI]

We proceed to a critical examination of the method used in nuclear fragmentation to exhibit signals of negative heat capacity. We show that this method leads to unsatisfactory results when applied to a simple and well controlled model. Discrepancies are due to incomplete evaluation of potential energies.

Xavier Campi; H. Krivine; E. Plagnol; N. Sator

2004-08-03T23:59:59.000Z

337

"Table A7. Shell Storage Capacity of Selected Petroleum Products by Census"  

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

Shell Storage Capacity of Selected Petroleum Products by Census" Shell Storage Capacity of Selected Petroleum Products by Census" " Region, Industry Group, and Selected Industries, 1991" " (Estimates in Thousand Barrels)" " "," "," "," "," ","Other","RSE" "SIC"," ","Motor","Residual"," ","Distillate","Row" "Code(a)","Industry Groups and Industry","Gasoline","Fuel Oil","Diesel","Fuel Oil","Factors" ,,"Total United States" ,"RSE Column Factors:",1,0.9,1,1.1 , 20,"Food and Kindred Products",38,1448,306,531,12.1 2011," Meat Packing Plants",1,229,40,13,13.2

338

Relations of Buffer Capacity for Acids to Basicity and Exchangeable Bases of the Soil.  

E-Print Network [OSTI]

of a soil for acids is measured by the quantity of acids required to attain a given degree of acidity or hange the degree of acidity to a given extent. It is of both tical and scientific importance, in that it measures the re- lnce of the soil..., the mixtures of soil may be acid -- though undecomposad carbonates remain. The adequate session of the buffer capacity of soil requires the construc- of a curve, or statement of the total buffer capacity to a mite degree of acidity (pH) and of the specific...

Fraps, G. S. (George Stronach); Fudge, J. F.

1932-01-01T23:59:59.000Z

339

U.S. Underground Natural Gas Storage Capacity  

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

Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Alabama Arkansas California Colorado Illinois Indiana Iowa Kansas Kentucky Louisiana Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska New Mexico New York Ohio Oklahoma Oregon Pennsylvania Tennessee Texas Utah Virginia Washington West Virginia Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Total Storage Capacity 8,402,216 8,498,535 8,655,740 8,763,798 8,849,125 8,991,335

340

Wireless Network Capacity Management: A Real Options Approach  

E-Print Network [OSTI]

capacity, market price of risk, investment timing option 1 Introduction Wireless networks are now regarded

Forsyth, Peter A.

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


341

Total Adjusted Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

342

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

343

Robust Capacity Planning in Semiconductor Manufacturing  

E-Print Network [OSTI]

patterns, i.e., chips, requiring up to 25 patterned layers, are built on a single .... Constraint (3) requires the total production load not to exceed the available ..... [

344

Optimal design of plant lighting system by genetic algorithms  

Science Journals Connector (OSTI)

A genetic algorithm technique is developed for the optimal design of a supplemental lighting system for greenhouse crop production. The approach uses the evolutionary parallel search capabilities of genetic algorithms to design the pattern layout of the lamps (luminaires), their mounting heights and their wattages. The total number and the exact positions of luminaires are not predefined (even though possible positions lay on a fixed grid layout), thus the genetic algorithm system has a large degree of freedom in the designing process. The possibilities of mounting heights and luminaire wattages are limited to four different values for each luminaire in this study. A fitness function for the genetic algorithm was developed, taking into account light uniformity, light intensity capability, shading effects of the design, as well as operational and investment costs. The systems designed by the genetic algorithm show improved values of light uniformity and substantial savings without any effect on the light capacity capabilities of the system. Innovative automatically designed systems compare favorably with typical and expert-designed lighting systems.

K.P. Ferentinos; L.D. Albright

2005-01-01T23:59:59.000Z

345

Fundamentals of Designing Products  

Science Journals Connector (OSTI)

The term design has many connotations. Essentially it is the process of devising a product that fulfills as completely as possible the total requirements of the user, while satisfying the needs of the fabric...

Dominick V. Rosato P.E.; Donald V. Rosato PH.D.

2000-01-01T23:59:59.000Z

346

Mechanism of antioxidant capacity assays and the CUPRAC (cupric ion reducing antioxidant capacity) assay  

Science Journals Connector (OSTI)

We report on the application of a simple and versatile antioxidant capacity assay for dietary polyphenols, vitamin C and vitamin E utilizing the copper(II)-neocuproine (Cu(II)-Nc) reagent as the chromogenic ox...

Re?at Apak; Kubilay Gl; Mustafa zyrek; Saliha Esin elik

2008-04-01T23:59:59.000Z

347

2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5  

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

TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY TYPE_OF_PRODUCER","STATE_CODE","FUEL_SOURCE","GENERATORS","NAMEPLATE_CAPACITY (Megawatts)","SUMMER_CAPACITY (Megawatts)" 2012,"Total Electric Power Industry","AK","Natural Gas",6,244.7,210.5 2012,"Total Electric Power Industry","AK","Petroleum",4,4.8,4.8 2012,"Total Electric Power Industry","AK","Wind",1,24.6,24 2012,"Total Electric Power Industry","AK","All Sources",11,274.1,239.3 2012,"Total Electric Power Industry","AR","Coal",1,755,600 2012,"Total Electric Power Industry","AR","Natural Gas",1,22,20 2012,"Total Electric Power Industry","AR","All Sources",2,777,620

348

Low Dose Radiation Stimulates Antioxidant Capacity in the Brain and Lessens  

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

Stimulates Antioxidant Capacity in the Brain and Lessens Stimulates Antioxidant Capacity in the Brain and Lessens Behavioral Symptoms in a 6-OHDA-Induced Rat Model of Parkinson's Disease Mohan Doss Fox Chase Cancer Center Abstract Background: Progressive degeneration of dopaminergic neurons in the substantia nigra (SN) pars compacta results in motor deficits in Parkinson’s disease (PD) patients. Oxidative damage to the nigral dopaminergic neurons has been implicated in the pathogenesis of Parkinson’s disease. Our hypothesis is that low dose radiation induces the production of antioxidants in the brain, which could provide protection to the dopaminergic neurons, potentially leading to prevention or stabilization of PD. The purpose of the study is (1) to determine the effect of low dose radiation on the total antioxidant capacity in SN in

349

Working and Net Available Shell Storage Capacity  

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

Working and Net Available Shell Working and Net Available Shell Storage Capacity November 2013 With Data as of September 30, 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Working and Net Available Shell Storage Capacity as of September 30, 2013 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or

350

Underground Natural Gas Working Storage Capacity - Methodology  

Gasoline and Diesel Fuel Update (EIA)

Summary Prices Exploration & Reserves Production Imports/Exports Pipelines Storage Consumption All Natural Gas Data Reports Analysis & Projections Most Requested Consumption Exploration & Reserves Imports/Exports & Pipelines Prices Production Projections Storage All Reports ‹ See All Natural Gas Reports Underground Natural Gas Working Storage Capacity With Data for November 2012 | Release Date: July 24, 2013 | Next Release Date: Spring 2014 Previous Issues Year: 2013 2012 2011 2010 2009 2008 2007 2006 Go Methodology Demonstrated Peak Working Gas Capacity Estimates: Estimates are based on aggregation of the noncoincident peak levels of working gas inventories at individual storage fields as reported monthly over a 60-month period ending in November 2012 on Form EIA-191, "Monthly Natural Gas Underground Storage

351

Working and Net Available Shell Storage Capacity  

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

Net Available Shell Storage Capacity by PAD District as of September 30, 2013 Net Available Shell Storage Capacity by PAD District as of September 30, 2013 (Thousand Barrels) Commodity In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 In Operation Idle 1 Refineries Crude Oil 17,334 831 21,870 1,721 86,629 3,468 4,655 174 39,839 1,230 170,327 7,424 Fuel Ethanol 174 - 175 1 289 - 134 - 92 - 864 1 Natural Gas Plant Liquids and Liquefied Refinery Gases 2 1,267 23 11,599 382 28,865 78 641 19 2,412 23 44,784 525 Propane/Propylene (dedicated)

352

Calculations of Heat-Capacities of Adsorbates  

E-Print Network [OSTI]

PHYSICAL REVIEW B VOLUME 14, NUMBER 7 1 OCTOBER 1976 Calculations of heat capacities of adsorbates W. R. Lawrence and R. E. Allen Department of Physics, Texas A& M University, College Station, Texas 77843 (Received 2 September 1975) The phonon... the substrate has a perfect (100) surface and the adsorbate goes down as a solid monolayer in registry with the substrate. The quasiharmonic approximation was used, and the results for Ne adsorbates were considerably different from those obtained...

LAWRENCE, WR; Allen, Roland E.

1976-01-01T23:59:59.000Z

353

Total Heart Transplant: A Modern Overview  

E-Print Network [OSTI]

use of the total artificial heart. New England Journal ofJ. (1997). Artificial heart transplants. British medicala total artificial heart as a bridge to transplantation. New

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

354

Interior Architecture Minor Tracking Sheet Total Minimum Credits: 26  

E-Print Network [OSTI]

Interior Architecture Minor Tracking Sheet Total Minimum Credits: 26 Minor standing is prerequisite architecture studio course is required for architecture majors enrolled in the interior architecture minor (1 is required for Architecture majors): IARC 484 Interior Design Studio (6), IARC 486 Furniture

355

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

356

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing countries.

357

College of Engineering 20052006 Student Design Showcase  

E-Print Network [OSTI]

............................................................................................................. 6 Industrial Feasibility of a Low Capacity Crude Petroleum Refinery (LCCPR.......................................................................... 9 Purification of Hydrogen Gas from Refinery Off................................................................................................................ 42 #12;2005­2006 Senior Design Projects 3 ROSS--Remotely Operated Surf-Zone Surveyor

Wood, Stephen L.

358

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

359

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

360

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

Note: This page contains sample records for the topic "total design capacity" 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

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network [OSTI]

Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Surface water Groundwater X X X X X X X X AU 00000003 Oil/ Gas X X X X X X X X Total X X X X X X X Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Total undiscovered petroleum (MMBO or BCFG) Water per oil

Torgersen, Christian

362

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

A set S of vertices in a graph G = ( V , E ) is a total dominating set of G if every vertex of V is adjacent to a vertex in S. We consider total dominating sets of minimum cardinality which have the additional property that distinct vertices of V are totally dominated by distinct subsets of the total dominating set.

Teresa W. Haynes; Michael A. Henning; Jamie Howard

2006-01-01T23:59:59.000Z

363

Capacity computations of right-turn-on-red using the Highway Capacity Manual  

SciTech Connect (OSTI)

Right-turn-on-red (RTOR) is a traffic control strategy at signalized intersections that allows vehicles to turn right during red phases provided they do not impede the vehicles and pedestrians in green phases. RTOR is primarily a delay and energy conservation measure. Several studies that examined the impact of RTOR on vehicular delays have shown the potential of reducing fuel consumption by about 5 percent on urban streets. The reduction of delay and fuel consumption is related to extra capacity because RTOR allows vehicles to pass through an intersection in red phases. The extra capacity can be significant if an exclusive right-turn lane is provided. The 1985 {ital Highway Capacity Manual} (HCM) provides a powerful technique for evaluating how well an intersection will operate. This technique, however, is less successful in dealing with intersections where RTOR movement is permitted because it requires the analyst to supply RTOR volumes. This situation has led to a need for a formula to compute RTOR capacity. This paper proposes a method to calculate this capacity.

Luh, J.Z. (Langan Engineering Associates, NJ (US)); Lu, Y.J. (Concordia Univ., Loyola Campus, Montreal, PQ (Canada))

1990-04-01T23:59:59.000Z

364

Locating-total domination in graphs  

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices in a graph G is a total dominating set in G if every vertex of G is adjacent to a vertex in S . We consider total dominating sets S which have the additional property that distinct vertices in V ( G ) ? S are totally dominated by distinct subsets of the total dominating set. Such a set S is called a locating-total dominating set in G , and the locating-total domination number of G is the minimum cardinality of a locating-total dominating set in G . We obtain new lower and upper bounds on the locating-total domination number of a graph. Interpolation results are established, and the locating-total domination number in special families of graphs, including cubic graphs and grid graphs, is investigated.

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

365

Effect of ?-Irradiation on Agaritine, ?-Glutaminyl-4-hydroxybenzene (GHB), Antioxidant Capacity, and Total Phenolic Content of Mushrooms (Agaricus bisporus)  

Science Journals Connector (OSTI)

Isolde Sommer , Heidi Schwartz , Sonja Solar * and Gerhard Sontag ... Sample irradiation was performed using a Cobalt-60-?-ray irradiator type Gammacell 220 (Nordion International, Inc., Kanata, Ontario, Canada) at a dose rate of 34 Gy/min. ...

Isolde Sommer; Heidi Schwartz; Sonja Solar; Gerhard Sontag

2009-06-08T23:59:59.000Z

366

Incorporating Demand Resources into ISO New Englands Forward Capacity Market  

E-Print Network [OSTI]

, Massachusetts 757 MW, New Hampshire 74 MW, Rhode Island 99 MW, and Vermont 121 MW. Existing Resource Results ? Existing power plants in New England fulfilled the largest share, accounting for 30,239 MW of the required 32,305 MW total. ? Existing... 190 567 12,777 481 New Hampshire 10 64 4,083 54 Rhode Island 21 78 2,401 87 Vermont 50 71 900 30 Imports - - 934 - Total 626 1,188 31,173 1,366 Demand Resources Cleared Capacity (MW) Resource Type ME NH VT...

Winkler, E.

2008-01-01T23:59:59.000Z

367

State and National Wind Resource Potential at Various Capacity Factor Ranges for 80 and 100 Meters  

Wind Powering America (EERE)

February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) February 4, 2010 (updated April 13, 2011 to add Alaska and Hawaii) State Total (km 2 ) Excluded 2 (km 2 ) Available (km 2 ) Available % of State % of Total Windy Land Excluded Installed Capacity 3 (MW) Annual Generation (GWh) Alabama 15.9 13.3 2.6 0.00% 83.4% 13.2 42 Alaska 267,897.7 209,673.4 58,224.3 3.87% 78.3% 291,121.3 1,051,210 Arizona 611.7 417.3 194.4 0.07% 68.2% 972.1 3,100 Arkansas 1,130.0 687.5 442.5 0.32% 60.8% 2,212.5 7,215 C lif i 11 456 4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas >= 35% Capacity Factor at 80m These estimates show, for each of the 50 states and the total U.S., the windy land area with a gross capacity factor (without losses) of 35% and greater at 80-m height above ground and the wind energy potential that could be possible from development of the "available" windy land area

368

LEDS Capacity Building and Training Inventory | Open Energy Information  

Open Energy Info (EERE)

LEDS Capacity Building and Training Inventory LEDS Capacity Building and Training Inventory Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve LEDS Capacity Building and Training Activities and Resources Upcoming Capacity Building Events CLEAN shares capacity building activity information to encourage technical institutions to better coordinate efforts and avoid duplication of effort. If you are aware of an upcoming LEDS-related training or capacity building event please add it to the calendar below. Add Capacity Building or Training Event Webinars Title Developer Biopower Tool Webinar National Renewable Energy Laboratory United States Department of Energy Centro de Energías Renovables (CER) CESC-Webinar: Building an Innovation and Entrepreneurship Driven Economy: How Policies Can Foster Risk Capital Investment in Renewable Energy Clean Energy Solutions Center

369

Natural Gas Productive Capacity for the Lower-48 States  

Gasoline and Diesel Fuel Update (EIA)

for the Lower-48 States for the Lower-48 States 6/4/01 Click here to start Table of Contents Natural Gas Productive Capacity for the Lower-48 States Natural Gas Productive Capacity for the Lower-48 States Natural Gas Productive Capacity for the Lower-48 States - Summary - Natural Gas Productive Capacity for the Lower-48 States - Summary - PPT Slide Natural Gas Productive Capacity for the Lower-48 States - Summary - Natural Gas Productive Capacity for the Lower-48 States - Methodology - Natural Gas Productive Capacity for the Lower-48 States - Methodology - Natural Gas Productive Capacity for the Lower-48 States - Methodology - PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide PPT Slide Other Areas PPT Slide PPT Slide PPT Slide

370

U.S. Fuel Ethanol Plant Production Capacity  

Gasoline and Diesel Fuel Update (EIA)

U.S. Fuel Ethanol Plant Production Capacity U.S. Fuel Ethanol Plant Production Capacity Release Date: May 20, 2013 | Next Release Date: May 2014 Previous Issues Year: 2013 2012 2011 Go Notice: Changes to Petroleum Supply Survey Forms for 2013 This is the third release of U.S. Energy Information Administration data on fuel ethanol production capacity. EIA first reported fuel ethanol production capacities as of January 1, 2011 on November 29, 2011. This new report contains production capacity data for all operating U.S. fuel ethanol production plants as of January 1, 2013. U.S. Nameplate Fuel Ethanol Plant Production Capacity as of January 1, 2013 PAD District Number of Plants 2013 Nameplate Capacity 2012 Nameplate Capacity (MMgal/year) (mb/d) (MMgal/year) (mb/d) PADD 1 4 360 23 316 21

371

A reduction theorem for capacity of positive maps  

E-Print Network [OSTI]

We prove a reduction theorem for capacity of positive maps of finite dimensional C*-algebras, thus reducing the computation of capacity to the case when the image of a nonscalar projection is never a projection.

Erling Stormer

2005-10-06T23:59:59.000Z

372

Evaluation of capacity release transactions in the natural gas industry  

E-Print Network [OSTI]

The purpose of this thesis is to analyze capacity release transactions in the natural gas industry and to state some preliminary conclusions about how the capacity release market is functioning. Given FERC's attempt to ...

Lautzenhiser, Stephen

1994-01-01T23:59:59.000Z

373

Storage and capacity rights markets in the natural gas industry  

E-Print Network [OSTI]

This dissertation presents a different approach at looking at market power in capacity rights markets that goes beyond the functional aspects of capacity rights markets as access to transportation services. In particular, ...

Paz-Galindo, Luis A.

1999-01-01T23:59:59.000Z

374

Event:CLEAN Webinar - Capacity Building and Training for Low Emissions  

Open Energy Info (EERE)

Event Event Edit with form History Facebook icon Twitter icon » Event:CLEAN Webinar - Capacity Building and Training for Low Emissions Development Planning Webinar Jump to: navigation, search Calendar.png CLEAN Webinar - LEDS Capacity Building and Training: 13:30-15:00 GMT on 2011/05/24 This webinar will explore design, lessons learned, needs and opportunities to support low emissions development planning (LEDS, TNAs, NAMAs, etc.). Short presentations from MAIN, UNEP-Risoe on TNAs, ESMAP World Bank and the Colombian Ministry of Environment will be followed by a participant discussion on these topics. Event Details Name CLEAN Webinar - LEDS Capacity Building and Training Date 2011/05/24 Time 13:30-15:00 GMT Location Online Tags CLEAN, LEDS Ret Like Like You like this.Sign Up to see what your friends like.

375

Development of high-capacity cathode materials with integrated...  

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

to improve rate performance * Optimize composition (Li- and Mn composition) and synthesis conditions * Evaluation of electrochemical properties (capacity, cycling performance...

376

U.S. Total Exports  

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

International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT LNG Imports into Cameron, LA LNG Imports into Cove Point, MD LNG Imports into Elba Island, GA LNG Imports into Everett, MA LNG Imports into Freeport, TX LNG Imports into Golden Pass, TX LNG Imports into Gulf Gateway, LA LNG Imports into Gulf LNG, MS LNG Imports into Lake Charles, LA LNG Imports into Neptune Deepwater Port LNG Imports into Northeast Gateway LNG Imports into Sabine Pass, LA U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake Charles, LA LNG Imports from Australia Everett, MA Lake Charles, LA LNG Imports from Brunei Lake Charles, LA LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Equatorial Guinea Elba Island, GA Lake Charles, LA LNG Imports from Indonesia Lake Charles, LA LNG Imports from Malaysia Gulf Gateway, LA Lake Charles, LA LNG Imports from Nigeria Cove Point, MD Elba Island, GA Freeport, TX Gulf Gateway, LA Lake Charles, LA Sabine Pass, LA LNG Imports from Norway Cove Point, MD Sabine Pass, LA LNG Imports from Oman Lake Charles, LA LNG Imports from Peru Cameron, LA Freeport, TX Sabine Pass, LA LNG Imports from Qatar Cameron, LA Elba Island, GA Golden Pass, TX Gulf Gateway, LA Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf Gateway, LA Gulf LNG, MS Lake Charles, LA Neptune Deepwater Port Northeast Gateway Sabine Pass, LA LNG Imports from United Arab Emirates Lake Charles, LA LNG Imports from Yemen Everett, MA Freeport, TX Neptune Deepwater Port Sabine Pass, LA LNG Imports from Other Countries Lake Charles, LA Period: Monthly Annual

377

Weak locking capacity of quantum channels can be much larger than private capacity  

E-Print Network [OSTI]

We show that it is possible for the so-called weak locking capacity of a quantum channel [Guha et al., PRX 4:011016, 2014] to be much larger than its private capacity. Both reflect different ways of capturing the notion of reliable communication via a quantum system while leaking almost no information to an eavesdropper; the difference is that the latter imposes an intrinsically quantum security criterion whereas the former requires only a weaker, classical condition. The channels for which this separation is most straightforward to establish are the complementary channels of classical-quantum (cq-)channels, and hence a subclass of Hadamard channels. We also prove that certain symmetric channels (related to photon number splitting) have positive weak locking capacity in the presence of a vanishingly small pre-shared secret, whereas their private capacity is zero. These findings are powerful illustrations of the difference between two apparently natural notions of privacy in quantum systems, relevant also to quantum key distribution (QKD): the older, naive one based on accessible information, contrasting with the new, composable one embracing the quantum nature of the eavesdropper's information. Assuming an additivity conjecture for constrained minimum output Renyi entropies, the techniques of the first part demonstrate a single-letter formula for the weak locking capacity of complements to cq-channels, coinciding with a general upper bound of Guha et al. for these channels. Furthermore, still assuming this additivity conjecture, this upper bound is given an operational interpretation for general channels as the maximum weak locking capacity of the channel activated by a suitable noiseless channel.

Andreas Winter

2014-03-25T23:59:59.000Z

378

Theory of Molecular Machines. I. Channel Capacity of Molecular Machines  

E-Print Network [OSTI]

Theory of Molecular Machines. I. Channel Capacity of Molecular Machines running title: Channel Capacity of Molecular Machines Thomas D. Schneider version = 5.76 of ccmm.tex 2004 Feb 3 Version 5.67 was submitted 1990 December 5 Schneider, T. D. (1991). Theory of molecular machines. I. Channel capacity

Schneider, Thomas D.

379

Peak Underground Working Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

Methodology Methodology Methodology Demonstrated Peak Working Gas Capacity Estimates: Estimates are based on aggregation of the noncoincident peak levels of working gas inventories at individual storage fields as reported monthly over a 60-month period ending in April 2010 on Form EIA-191M, "Monthly Natural Gas Underground Storage Report." The months of measurement for the peak storage volumes by facilities may differ; i.e., the months do not necessarily coincide. As such, the noncoincident peak for any region is at least as big as any monthly volume in the historical record. Data from Form EIA-191M, "Monthly Natural Gas Underground Storage Report," are collected from storage operators on a field-level basis. Operators can report field-level data either on a per reservoir basis or on an aggregated reservoir basis. It is possible that if all operators reported on a per reservoir basis that the demonstrated peak working gas capacity would be larger. Additionally, these data reflect inventory levels as of the last day of the report month, and a facility may have reached a higher inventory on a different day of the report month, which would not be recorded on Form EIA-191M.

380

Thermal capacity of composite floor slabs  

Science Journals Connector (OSTI)

AbstractObjective Thermal building simulation tools take account of the thermal capacity of the walls and floors by a one-dimensional characterization. The objective was to obtain thermal equivalent parameters for ribbed or composite slab elements that can be input into one-dimensional models. Method Transient finite element calculations (FEM) were used to establish the heat transfer to and from composite floors using four deck profiles and for daily heating cycles in compartments with defined heat gains and operating conditions. Results The performance of composite slabs was compared to a concrete flat slab for a typical office in the UK and Germany. It was shown that a deep ribbed slab generates a maximum heat flux of 30.5W/m2 for a 5C temperature variation about the mean, and that the daily heat absorbed by a typical composite slab was 220Wh/m2 floor area. Conclusions Using the thermal capacity of the ribbed floor slabs, the comfort conditions defined in terms of the number of hours over 25C are acceptable for many classes of offices. Practical implications Thermally equivalent properties of ribbed slabs can be used in conventional software to predict the thermal performance.

B. Doering; C. Kendrick; R.M. Lawson

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

Multi-region capacity planning model with contracts of varying duration under uncertainty : a satellite capacity acquisition case study  

E-Print Network [OSTI]

This paper highlights the issues associated with and presents a modeling framework for long-term capacity planning problems constrained in a similar fashion to satellite capacity acquisition. Although ambiguities exist, ...

Lydiard, John M., IV

2014-01-01T23:59:59.000Z

382

EVALUATION OF REQUIREMENTS FOR THE DWPF HIGHER CAPACITY CANISTER  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) is considering the option to increase canister glass capacity by reducing the wall thickness of the current production canister. This design has been designated as the DWPF Higher Capacity Canister (HCC). A significant decrease in the number of canisters processed during the life of the facility would be achieved if the HCC were implemented leading to a reduced overall reduction in life cycle costs. Prior to implementation of the change, Savannah River National Laboratory (SRNL) was requested to conduct an evaluation of the potential impacts. The specific areas of interest included loading and deformation of the canister during the filling process. Additionally, the effect of the reduced wall thickness on corrosion and material compatibility needed to be addressed. Finally the integrity of the canister during decontamination and other handling steps needed to be determined. The initial request regarding canister fabrication was later addressed in an alternate study. A preliminary review of canister requirements and previous testing was conducted prior to determining the testing approach. Thermal and stress models were developed to predict the forces on the canister during the pouring and cooling process. The thermal model shows the HCC increasing and decreasing in temperature at a slightly faster rate than the original. The HCC is shown to have a 3F ?T between the internal and outer surfaces versus a 5F ?T for the original design. The stress model indicates strain values ranging from 1.9% to 2.9% for the standard canister and 2.5% to 3.1% for the HCC. These values are dependent on the glass level relative to the thickness transition between the top head and the canister wall. This information, along with field readings, was used to set up environmental test conditions for corrosion studies. Small 304-L canisters were filled with glass and subjected to accelerated environmental testing for 3 months. No evidence of stress corrosion cracking was indicated on either the canisters or U-bend coupons. Calculations and finite element modeling were used to determine forces over a range of handling conditions along with possible forces during decontamination. While expected reductions in some physical characteristics were found in the HCC, none were found to be significant when compared to the required values necessary to perform its intended function. Based on this study and a review of successful testing of thinner canisters at West Valley Demonstration Project (WVDP), the mechanical properties obtained with the thinner wall do not significantly undermine the ability of the canister to perform its intended function.

Miller, D.; Estochen, E.; Jordan, J.; Kesterson, M.; Mckeel, C.

2014-08-05T23:59:59.000Z

383

Using Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves  

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

Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves in the Ancillary Services Market. A Feasibility Study Title Using Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves in the Ancillary Services Market. A Feasibility Study Publication Type Report LBNL Report Number LBNL-4190E Year of Publication 2010 Authors Rubinstein, Francis M., Li Xiaolei, and David S. Watson Keywords ancillary services, contingency reserves, demand response, demand response and distributed energy resources center, demand response research center, dimmable lighting controls, dimming ballasts, lighting, regulation capacity Abstract The objective of this Feasibility Study was to identify the potential of dimmable lighting for providing regulation capacity and contingency reserves if massively-deployed throughout the State. We found that one half of the total electric lighting load in the California commercial sector is bottled up in larger buildings that are greater an 50,000 square feet. Retrofitting large California buildings with dimmable lighting to enable fast DR lighting would require an investment of about $1.8 billion and a "fleet" of about 56 million dimming ballasts. By upgrading the existing installed base of lighting and controls (primarily in large commercial facilities) a substantial amount of ancillary services could be provided. Though not widely deployed, today's state-of-the art lighting systems, control systems and communication networks could be used for this application. The same lighting control equipment that is appropriate for fast DR is also appropriate for achieving energy efficiency with lighting on a daily basis. Thus fast DR can leverage the capabilities that are provided by a conventional dimming lighting control system. If dimmable lighting were massively deployed throughout large California buildings (because mandated by law, for example) dimmable lighting could realistically supply 380 MW of non-spinning reserve, 47% of the total non-spinning reserves needed in 2007.

384

IAEA Planning and Economic Studies Section (PESS) Capacity Building | Open  

Open Energy Info (EERE)

IAEA Planning and Economic Studies Section (PESS) Capacity Building IAEA Planning and Economic Studies Section (PESS) Capacity Building Jump to: navigation, search Tool Summary Name: IAEA Planning and Economic Studies Section (PESS) Capacity Building Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Non-renewable Energy, Energy Efficiency, Renewable Energy Topics: Pathways analysis Resource Type: Software/modeling tools, Training materials References: IAEA PESS capacity building[1] Logo: IAEA Planning and Economic Studies Section (PESS) Capacity Building "PESS offers assistance to Member States, particularly from developing regions, to improve their energy system analysis & planning capabilities. Assistance can include: transferring modern planning methods, tools and databanks

385

UNDP-Low Emission Capacity Building Programme | Open Energy Information  

Open Energy Info (EERE)

Programme Programme Jump to: navigation, search Logo: UNDP-Low Emission Capacity Building Programme Name UNDP-Low Emission Capacity Building Programme Agency/Company /Organization United Nations Development Programme (UNDP), European Union Sector Climate, Energy, Land, Water Topics Low emission development planning Resource Type Training materials Website http://www.undp.org/climatestr References UNDP-Low Emission Capacity Building Programme[1] UNDP-Low Emission Capacity Building Programme Screenshot "This collaborative programme aims to strengthen technical and institutional capacities at the country level, while at the same time facilitating inclusion and coordination of the public and private sector in national initiatives addressing climate change. It does so by utilizing the

386

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

387

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

Morita, Mark, M.B.A. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

388

EPA-GHG Inventory Capacity Building | Open Energy Information  

Open Energy Info (EERE)

EPA-GHG Inventory Capacity Building EPA-GHG Inventory Capacity Building (Redirected from US EPA GHG Inventory Capacity Building) Jump to: navigation, search Tool Summary Name: US EPA GHG inventory Capacity Building Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Training materials, Lessons learned/best practices References: US EPA GHG inventory Capacity Building[1] Logo: US EPA GHG inventory Capacity Building "Developing greenhouse gas inventories is an important first step to managing emissions. U.S. EPA's approach for building capacity to develop GHG inventories is based on the following lessons learned from working alongside developing country experts: Technical expertise for GHG inventories already exists in developing

389

Team Total Points Beta Theta Pi 2271  

E-Print Network [OSTI]

Bubbles 40 Upset City 30 Team Success 30 #12;Team Total Points Sly Tye 16 Barringer 15 Fire Stinespring 15

Buehrer, R. Michael

390

The NASA CSTI High Capacity Power Program  

SciTech Connect (OSTI)

The SP-100 program was established in 1983 by DOD, DOE, and NASA as a joint program to develop the technology necessary for space nuclear power systems for military and civil applications. During 1986 and 1987, the NASA Advanced Technology Program was responsible for maintaining the momentum of promising technology advancement efforts started during Phase I of SP-100 and to strengthen, in key areas, the chances for successful development and growth capability of space nuclear reactor power systems for future space applications. In 1988, the NASA Advanced Technology Program was incorporated into NASA`s new Civil Space Technology Initiative (CSTI). The CSTI program was established to provide the foundation for technology development in automation and robotics, information, propulsion, and power. The CSTI High Capacity Power Program builds on the technology efforts of the SP-100 program, incorporates the previous NASA advanced technology project, and provides a bridge to the NASA exploration technology programs. The elements of CSTI high capacity power development include conversion systems - Stirling and thermoelectric, thermal management, power management, system diagnostics, and environmental interactions. Technology advancement in all areas, including materials, is required to provide the growth capability, high reliability and 7 to 10 years lifetime demanded for future space nuclear power systems. The overall program will develop and demonstrate the technology base required to provide a wide range of modular power systems while minimizing the impact of day/night operation as well as attitudes and distance from the Sun. Significant accomplishments in all of the program elements will be discussed, along with revised goals and project timelines recently developed.

Winter, J.M.

1994-09-01T23:59:59.000Z

391

Total phenolic content and DPPH radical scavenging activity of lettuce (Lactuca sativa L.) grown in Colorado  

Science Journals Connector (OSTI)

Total phenolic content (TPC) and antioxidant capacity of lettuce were evaluated using the FolinCiocalteu method and DPPH assay, respectively, on 25 cultivars of lettuce, including leaf, romaine, crisphead, and butterhead types, cultivated over two harvest periods. Leaf lettuce possessed the highest TPC and highest DPPH scavenging ability, followed by romaine, butterhead and Batavia (crisphead subtype). Within a lettuce type, red pigmented lettuce cultivars had higher TPC and antioxidant capacity than did green cultivars grown under the same conditions. In addition, lettuce harvested in July possessed higher TPC and antioxidant capacity than did lettuce harvested in September, suggesting that environmental conditions could influence the phenolic content and antioxidant activity of lettuce. These results suggest that Colorado grown lettuce may serve as potential dietary sources of natural phenolic antioxidants.

Xiangfei Liu; Shane Ardo; Marisa Bunning; John Parry; Kequan Zhou; Cecil Stushnoff; Frank Stoniker; Liangli Yu; Patricia Kendall

2007-01-01T23:59:59.000Z

392

Million Cu. Feet Percent of National Total  

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

38 38 Nevada - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 4 4 4 3 4 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 4 4 4 3 4

393

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Idaho - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

394

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Washington - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

395

Million Cu. Feet Percent of National Total  

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

0 0 Maine - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

396

Million Cu. Feet Percent of National Total  

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

8 8 Minnesota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

397

Million Cu. Feet Percent of National Total  

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

2 2 South Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

398

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 North Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

399

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Iowa - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

400

Million Cu. Feet Percent of National Total  

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

4 4 Massachusetts - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

Note: This page contains sample records for the topic "total design capacity" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Minnesota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

402

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 New Jersey - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

403

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Vermont - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

404

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Wisconsin - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

405

Million Cu. Feet Percent of National Total  

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

8 8 North Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

406

Million Cu. Feet Percent of National Total  

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

2 2 New Jersey - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

407

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Maryland - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 7 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells 35 28 43 43 34 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 35

408

Million Cu. Feet Percent of National Total  

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

0 0 New Hampshire - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

409

Million Cu. Feet Percent of National Total  

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

2 2 Maryland - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 7 7 7 8 9 Production (million cubic feet) Gross Withdrawals From Gas Wells 28 43 43 34 44 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 28

410

Million Cu. Feet Percent of National Total  

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

2 2 Missouri - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 53 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

411

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Massachusetts - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

412

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 South Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

413

Million Cu. Feet Percent of National Total  

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

0 0 Rhode Island - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

414

Compare All CBECS Activities: Total Energy Use  

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

Total Energy Use Total Energy Use Compare Activities by ... Total Energy Use Total Major Fuel Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 5.7 quadrillion Btu of all major fuels (electricity, natural gas, fuel oil, and district steam or hot water) in 1999. Office buildings used the most total energy of all the building types, which was not a surprise since they were the most common commercial building type and had an above average energy intensity. Figure showing total major fuel consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Major Fuel Consumption per Building by Building Type Because there were relatively few inpatient health care buildings and they tend to be large, energy intensive buildings, their energy consumption per building was far above that of any other building type.

415

TotalView Parallel Debugger at NERSC  

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

Totalview Totalview Totalview Description TotalView from Rogue Wave Software is a parallel debugging tool that can be run with up to 512 processors. It provides both X Windows-based Graphical User Interface (GUI) and command line interface (CLI) environments for debugging. The performance of the GUI can be greatly improved if used in conjunction with free NX software. The TotalView documentation web page is a good resource for learning more about some of the advanced TotalView features. Accessing Totalview at NERSC To use TotalView at NERSC, first load the TotalView modulefile to set the correct environment settings with the following command: % module load totalview Compiling Code to Run with TotalView In order to use TotalView, code must be compiled with the -g option. We

416

E-Print Network 3.0 - affecting energy capacity Sample Search...  

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

reserves provided by the block with capacity... , which, in turn, impacts the capacity markets, be they energy or ancillary services markets, is adequacy... capacity ofsellers'...

417

Final Beamline Design Report  

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

Final Beamline Design Report Final Beamline Design Report Guidelines and Review Criteria (SCD 1.20.95) 6.0 Final Beamline Design Report (FDR) Overview The Final Beamline Design Report is part of the Advanced Photon Source (APS) beamline review process and should be planned for when approximately 90% of the total beamline design has been completed. Fifteen copies of the FDR are to be submitted to the APS Users Office. Approval of the Collaborative Access Team's (CAT) designs described in the report is required prior to installation of beamline components in the APS Experiment Hall. Components that have a long lead time for design or procurement can be reviewed separately from the remainder of the beamline, but enough information must be provided so that the reviewer can understand the

418

FAO-Capacity Development on Climate Change | Open Energy Information  

Open Energy Info (EERE)

FAO-Capacity Development on Climate Change FAO-Capacity Development on Climate Change Jump to: navigation, search Tool Summary LAUNCH TOOL Name: FAO-Capacity Development on Climate Change Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Land, Climate Focus Area: Forestry, Agriculture Resource Type: Training materials, Lessons learned/best practices, Case studies/examples Website: www.fao.org/climatechange/learning/en/ Cost: Free FAO-Capacity Development on Climate Change Screenshot References: FAO-Capacity Development on Climate Change[1] Logo: FAO-Capacity Development on Climate Change This portal provides a one-stop window for Member States, partners, UN staff and other development actors to access FAO climate change learning resources to facilitate experience-sharing.

419

Property:PotentialEGSGeothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialEGSGeothermalCapacity PotentialEGSGeothermalCapacity Jump to: navigation, search Property Name PotentialEGSGeothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from EGS Geothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

420

Capacity Building Project with Howard University | Department of Energy  

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

Capacity Building Project with Howard University Capacity Building Project with Howard University Capacity Building Project with Howard University The purpose of this initiative is to build community capacity for public participation in environmental and energy decision making. The target communities are those impacted by U.S. Department of Energy (DOE) facilities and in Washington, DC, the DOE Headquarters host community. The primary focus is on environmental justice communities-low-income and minority communities. Capacity Building Project with Howard University More Documents & Publications National Conference of Black Mayors, Inc. Capacity Building Project with Howard University The State of Environmental Justice in America 2010 Conference Environmental Justice at the U.S. Department of Energy - A Decade of

Note: This page contains sample records for the topic "total design capacity" 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

Microsoft Word - GasCapacityReport3-17.doc  

Gasoline and Diesel Fuel Update (EIA)

for the Lower-48 States Executive Summary This analysis examines the availability of effective productive capacity to meet the projected wellhead demand for natural gas through 2003. Effective productive capacity is defined as the maximum production available from natural gas wells considering limitations of the production, gathering, and transportation systems. Surplus or unutilized capacity is the difference between the effective productive capacity and the actual production. This report contains projections of natural gas effective productive capacity in the Lower-48 States for 2003 and is based on prices and production forecasts in EIA's February 2003 Short Term Energy Outlook (STEO). The analysis projects an average surplus capacity of 5.6 Bcf/d in 2003 under STEO Base

422

Property:PotentialOffshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOffshoreWindCapacity PotentialOffshoreWindCapacity Jump to: navigation, search Property Name PotentialOffshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Offshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

423

Property:PotentialGeothermalHydrothermalCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialGeothermalHydrothermalCapacity PotentialGeothermalHydrothermalCapacity Jump to: navigation, search Property Name PotentialGeothermalHydrothermalCapacity Property Type Quantity Description The nameplate capacity technical potential from Geothermal Hydrothermal for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

424

Property:PotentialHydropowerCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialHydropowerCapacity PotentialHydropowerCapacity Jump to: navigation, search Property Name PotentialHydropowerCapacity Property Type Quantity Description The nameplate capacity technical potential from Hydropower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

425

Property:PotentialBiopowerGaseousCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerGaseousCapacity PotentialBiopowerGaseousCapacity Jump to: navigation, search Property Name PotentialBiopowerGaseousCapacity Property Type Quantity Description The nameplate capacity technical potential from gaseous biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

426

ISO New England Forward Capacity Market (Rhode Island) | Department of  

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

ISO New England Forward Capacity Market (Rhode Island) ISO New England Forward Capacity Market (Rhode Island) ISO New England Forward Capacity Market (Rhode Island) < Back Eligibility Developer Industrial State/Provincial Govt Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Rhode Island Program Type Generating Facility Rate-Making Under the Forward Capacity Market (FCM), ISO New England projects the capacity needs of the region's power system three years in advance and then holds an annual auction to purchase the power resources that will satisfy those future regional requirements. Resources that clear in the auction are obligated to provide power or curtail demand when called upon by the ISO. The Forward Capacity Market was developed by ISO New England, the six New

427

Property:PotentialOnshoreWindCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialOnshoreWindCapacity PotentialOnshoreWindCapacity Jump to: navigation, search Property Name PotentialOnshoreWindCapacity Property Type Quantity Description The nameplate capacity technical potential from Onshore Wind for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

428

Worldwide Energy Efficiency Action through Capacity Building and Training  

Open Energy Info (EERE)

Worldwide Energy Efficiency Action through Capacity Building and Training Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Name Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Agency/Company /Organization National Renewable Energy Laboratory, The International Partnership for Energy Efficiency Cooperation Sector Energy Focus Area Energy Efficiency Topics Background analysis Resource Type Training materials Website http://www.nrel.gov/ce/ipeec/w Country Mexico, India UN Region Northern America References Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT)[1] Abstract Included are training materials for the Worldwide Energy Efficiency Action through Capacity Building & Training (WEACT) Workshop in Mexico City, 28-30 September 2010.

429

Property:PotentialBiopowerSolidCapacity | Open Energy Information  

Open Energy Info (EERE)

PotentialBiopowerSolidCapacity PotentialBiopowerSolidCapacity Jump to: navigation, search Property Name PotentialBiopowerSolidCapacity Property Type Quantity Description The nameplate capacity technical potential from solid biopower for a particular place. Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS 0.001 GW,gigawatt,gigawatts,Gigawatt,Gigawatts,GigaWatt,GigaWatts,GIGAWATT,GIGAWATTS

430

Ukraine-Capacity Building for Low Carbon Growth | Open Energy...  

Open Energy Info (EERE)

Jump to: navigation, search Name UNDP-Capacity Building for Low Carbon Growth in Ukraine AgencyCompany Organization United Nations Development Programme Sector Energy,...

431

Thailand-Enhancing Capacity for Low Emission Development Strategies...  

Open Energy Info (EERE)

Enhancing Capacity for Low Emission Development Strategies (EC-LEDS) AgencyCompany Organization United States Agency for International Development, United States Environmental...

432

Information capacity and resolution in an optical system  

Science Journals Connector (OSTI)

The concept of invariance of information capacity is discussed and applied to the resolution of an optical system. Methods of obtaining superresolution in microscopy are discussed, and...

Cox, I J; Sheppard, C J R

1986-01-01T23:59:59.000Z

433

Open versus closed loop capacity equilibria in electricity markets ...  

E-Print Network [OSTI]

May 7, 2012 ... Abstract: We consider two game-theoretic models of the generation capacity expansion problem in liberalized electricity markets. The first is an...

S. Wogrin

2012-05-07T23:59:59.000Z

434

John S. Wright Forestry Center Room Sizes, Capacities, and Rates  

E-Print Network [OSTI]

Appendix 1 John S. Wright Forestry Center Room Sizes, Capacities, and Rates Room College the Wright Center contact: Marlene Mann, Administrative Assistant Forestry and Natural Resources Voice: 765

435

Africa Adaptation Programme: Capacity Building Experiences-Improving...  

Open Energy Info (EERE)

Data and Information Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Africa Adaptation Programme: Capacity Building Experiences-Improving Access, Understanding...

436

Million Cu. Feet Percent of National Total  

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

6 6 Tennessee - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 285 310 230 210 212 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,700 5,478 5,144 4,851 5,825 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

437

Million Cu. Feet Percent of National Total  

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

2 2 Connecticut - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

438

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Oregon - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18 21 24 26 24 Production (million cubic feet) Gross Withdrawals From Gas Wells 409 778 821 1,407 1,344 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

439

Million Cu. Feet Percent of National Total  

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

6 6 District of Columbia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

440

Million Cu. Feet Percent of National Total  

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

6 6 Oregon - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 21 24 26 24 27 Production (million cubic feet) Gross Withdrawals From Gas Wells 778 821 1,407 1,344 770 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

Note: This page contains sample records for the topic "total design capacity" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Georgia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

442

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Delaware - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

443

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 District of Columbia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

444

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Tennessee - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 305 285 310 230 210 Production (million cubic feet) Gross Withdrawals From Gas Wells NA 4,700 5,478 5,144 4,851 From Oil Wells 3,942 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

445

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Nebraska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S29. Summary statistics for natural gas - Nebraska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 186 322 285 276 322 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,331 2,862 2,734 2,092 1,854 From Oil Wells 228 221 182 163 126 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

446

Million Cu. Feet Percent of National Total  

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

0 0 Georgia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

447

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Connecticut - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

448

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Florida - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 2,000 2,742 290 13,938 17,129 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

449

Million Cu. Feet Percent of National Total  

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

4 4 Delaware - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

450

ARM - Measurement - Shortwave spectral total downwelling irradiance  

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

Shadowband Spectroradiometer SPEC-TOTDN : Shortwave Total Downwelling Spectrometer UAV-EGRETT : UAV-Egrett Value-Added Products VISST : Minnis Cloud Products Using Visst...

451

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

452

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Product: Total Supplemental Supply Synthetic Propane-Air Refinery Gas Biomass Other Period: Monthly Annual Download Series History Download Series History Definitions, Sources &...

453

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to...

454

Million Cu. Feet Percent of National Total  

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

0 0 Indiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 525 563 620 914 819 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,701 4,927 6,802 9,075 8,814 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

455

Integrated Water Network Designs for Batch Processes  

Science Journals Connector (OSTI)

Naturally, the corresponding design procedures are interrelated, and their general relations are depicted in Figure 1. ... The available units, storage capacities and processing times of this process are given in Table 1. ... The first design procedure maximizes driving forces in individual processes while the second minimizes the no. of water sources for each process. ...

Kai-Fang Cheng; Chuei-Tin Chang

2007-01-10T23:59:59.000Z

456

Design for manufacturability Design verification  

E-Print Network [OSTI]

ITRS Design #12;Design · Design for manufacturability · Design verification #12;Design for Manufacturability · Architecture challenges · Logic and circuit challenges · Layout and physical design challenges · Expected to be the source of multiple DFM challenges · Invest in variability reduction or design

Patel, Chintan

457

An examination of the costs and critical characteristics of electric utility distribution system capacity enhancement projects  

SciTech Connect (OSTI)

This report classifies and analyzes the capital and total costs (e.g., income tax, property tax, depreciation, centralized power generation, insurance premiums, and capital financing) associated with 130 electricity distribution system capacity enhancement projects undertaken during 1995-2002 or planned in the 2003-2011 time period by three electric power utilities operating in the Pacific Northwest. The Pacific Northwest National Laboratory (PNNL), in cooperation with participating utilities, has developed a large database of over 3,000 distribution system projects. The database includes brief project descriptions, capital cost estimates, the stated need for each project, and engineering data. The database was augmented by additional technical (e.g., line loss, existing substation capacities, and forecast peak demand for power in the area served by each project), cost (e.g., operations, maintenance, and centralized power generation costs), and financial (e.g., cost of capital, insurance premiums, depreciations, and tax rates) data. Though there are roughly 3,000 projects in the database, the vast majority were not included in this analysis because they either did not clearly enhance capacity or more information was needed, and not available, to adequately conduct the cost analyses. For the 130 projects identified for this analysis, capital cost frequency distributions were constructed, and expressed in terms of dollars per kVA of additional capacity. The capital cost frequency distributions identify how the projects contained within the database are distributed across a broad cost spectrum. Furthermore, the PNNL Energy Cost Analysis Model (ECAM) was used to determine the full costs (e.g., capital, operations and maintenance, property tax, income tax, depreciation, centralized power generation costs, insurance premiums and capital financing) associated with delivering electricity to customers, once again expressed in terms of costs per kVA of additional capacity. The projects were sorted into eight categories (capacitors, load transfer, new feeder, new line, new substation, new transformer, reconductoring, and substation capacity increase) and descriptive statistics (e.g., mean, total cost, number of observations, and standard deviation) were constructed for each project type. Furthermore, statistical analysis has been performed using ordinary least squares regression analysis to identify how various project variables (e.g., project location, the primary customer served by the project, the type of project, the reason for the upgrade, size of the upgrade) impact the unit cost of the project.

Balducci, Patrick J.; Schienbein, Lawrence A.; Nguyen, Tony B.; Brown, Daryl R.; Fathelrahman, Eihab M.

2004-06-01T23:59:59.000Z

458

Total Synthesis of Irciniastatin A (Psymberin)  

E-Print Network [OSTI]

Total Synthesis of Irciniastatin A (Psymberin) Michael T. Crimmins,* Jason M. Stevens, and Gregory, North Carolina 27599 crimmins@email.unc.edu Received July 21, 2009 ABSTRACT The total synthesis of a hemiaminal and acid chloride to complete the synthesis. In 2004, Pettit and Crews independently reported

459

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION  

E-Print Network [OSTI]

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION BERND WITTGENS, RAJAB LITTO, EVA S RENSEN a generalization of previously proposed batch distillation schemes. A simple feedback control strategy for total re verify the simulations. INTRODUCTION Although batch distillation generally is less energy e cient than

Skogestad, Sigurd

460

The expedition of expertise : designing an expert system for design  

E-Print Network [OSTI]

Principal assumptions are made during the early stage of the design process, fixing 70% to 80% of total building costs and most of a building's architectural and environmental qualities. The demands of any one constraint ...

Isenstadt, Samuel M. (Samuel Marc)

1985-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total design capacity" 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

Dynamic Long-Term Modelling of Generation Capacity Investment and Capacity Margins  

E-Print Network [OSTI]

is the capital expenditure vector for the project with ??x?1i=0 Mxi = 1. For simplicity, the expenditure schedule uses a lagged 3Which in the case of natural gas match quite well with available future prices from ICE Futures Europe (out to 2017) but are arguably... capacity I(t), which is a parallel cascade of the four technology categories. Each single category is defined by a Delay Differential Equation (DDE): dIx dt = ? (?j ,?j)??x ?j?(t? ?j ? ?x)? ? (?j ,?j)??x ?j?(t? ?j ? ?x ? ?x), (1) where ?(t) is the Dirac...

Eager, Dan; Hobbs, Benjamin; Bialek, Janusz

2012-04-25T23:59:59.000Z

462

Capacity of a UMTS system for aeronautical communications  

Science Journals Connector (OSTI)

Current Air Traffic Management and Air Traffic Control systems will experience a demand increase in the following years due to the large number of operating aircrafts. As a consequence, new solution must be studied to overcome this capacity limitation ... Keywords: ATC, ATM, ENR, SDR, TMA, UMTS, W-CDMA, air traffic, capacity

Miguel Calvo Ramn; Ramn Martnez Rodrguez-Osorio; Bazil Taha Ahmed; Juan Jos Iglesias Jimnez

2007-07-01T23:59:59.000Z

463

Prediction methods for capacity of drag anchors in clayey soils  

E-Print Network [OSTI]

A drag anchor is a marine foundation element, which is penetrated into the seabed by dragging in order to generate a required capacity. The holding capacity of a drag anchor in a particular soil condition is developed by soil resistance acting...

Yoon, Yeo Hoon

2002-01-01T23:59:59.000Z

464

THE MAXIMUM CAPACITY OF A LINE PLAN IS INAPPROXIMABLE  

E-Print Network [OSTI]

THE MAXIMUM CAPACITY OF A LINE PLAN IS INAPPROXIMABLE CHRISTINA PUHL AND SEBASTIAN STILLER Abstract a network, upper arc-capacities and a line pool. E-mail: puhl@math.tu-berlin.de, stiller of the European Commission under contract no. FP6-021235-2. 1 #12;2 CHRISTINA PUHL AND SEBASTIAN STILLER We

Nabben, Reinhard

465

Optimal Demand Response Capacity of Automatic Lighting Control  

E-Print Network [OSTI]

1 Optimal Demand Response Capacity of Automatic Lighting Control Seyed Ataollah Raziei and Hamed-mails: razieis1@udayton.edu and hamed@ee.ucr.edu Abstract--Demand response programs seek to ad- just the normal prior studies have extensively studied the capacity of offering demand response in buildings

Mohsenian-Rad, Hamed

466

A dynamic programming approach for the airport capacity allocation problem  

Science Journals Connector (OSTI)

......between air traffic demand and system capacity...IMA Journal of Management Mathematics 14...traffic flow management model. In this...considered traffic demand and capacity...the left-hand side are the number...traffic flow management. ADYNAMIC PROGRAMMING...and the current demand. The state of......

Paolo Dell'Olmo; Guglielmo Lulli

2003-07-01T23:59:59.000Z

467

Software-Defined Networking Based Capacity Sharing in Hybrid Networks  

E-Print Network [OSTI]

Software-Defined Networking Based Capacity Sharing in Hybrid Networks Mateus A. S. Santos and Bruno proposes a novel approach to capacity sharing in hybrid networked environments, i.e., environments that consist of infrastructure-based as well as infrastructure- less networks. The proposed framework is based

Turletti, Thierry

468

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network [OSTI]

and EC2 spot market. Furthermore, we formulate the optimal capacity segmentation strategy as a MarkovTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three

Li, Baochun

469

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network [OSTI]

between periodic auctions and EC2 spot market. Furthermore, we formulate the optimal capacity segmentationTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual

Li, Baochun

470

Capacity expansion analysis in a chemical plant using linear programming  

Science Journals Connector (OSTI)

An analysis of the fuel additive production process of a US mid-western chemical manufacturer is described. Material balance constraints for each potential bottleneck of the manufacturing process are included as part of a linear programming model. Several capacity expansion scenarios are evaluated. The optimal way of modifying and expanding manufacturing capacity to meet forecast demand is determined.

Kenneth H. Myers; Reuven R. Levary

1996-01-01T23:59:59.000Z

471

Table 1. U.S. Biodiesel Production Capacity and Production  

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

Biodiesel Production Capacity and Production Biodiesel Production Capacity and Production (million gallons) Period 2011 January 2,114 35 February 2,104 40 March 2,081 60 April 2,101 71 May 2,064 77 June 2,069 81

472

Assess public and private sector capacity to support initiatives | Open  

Open Energy Info (EERE)

public and private sector capacity to support initiatives public and private sector capacity to support initiatives Jump to: navigation, search Stage 2 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other

473

Building MRV Standards and Capacity in Key Countries | Open Energy  

Open Energy Info (EERE)

MRV Standards and Capacity in Key Countries MRV Standards and Capacity in Key Countries Jump to: navigation, search Name Building MRV Standards and Capacity in Key Countries Agency/Company /Organization World Resources Institute (WRI) Sector Climate Focus Area Renewable Energy Topics Implementation Website http://www.wri.org/topics/mrv Program Start 2011 Program End 2014 Country Brazil, Colombia, Ethiopia, India, South Africa, Thailand South America, South America, Eastern Africa, Southern Asia, Southern Africa, South-Eastern Asia References World Resources Institute (WRI)[1] Program Overview Developing countries will be required to measure, report, and verify (MRV) mitigation actions according to international guidelines, but few have the capacity to do so. The goal of this project is to build the capacity of a

474

Property:GrossProdCapacity | Open Energy Information  

Open Energy Info (EERE)

GrossProdCapacity GrossProdCapacity Jump to: navigation, search Property Name GrossProdCapacity Property Type Quantity Description Sum of the property AvgAnnlGrossOpCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

475

Assess current country plans, policies, practices, and capacities | Open  

Open Energy Info (EERE)

Assess current country plans, policies, practices, and capacities Assess current country plans, policies, practices, and capacities Jump to: navigation, search Stage 2 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other

476

NREL: Energy Analysis - Utility-Scale Energy Technology Capacity Factors  

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

Utility-Scale Energy Technology Capacity Factors Utility-Scale Energy Technology Capacity Factors This chart indicates the range of recent capacity factor estimates for utility-scale renewable energy technologies. The dots indicate the average, and the vertical lines represent the range: Average +1 standard deviation and average -1 standard deviation. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost (September 2013 Update) Operations & Maintenance (September 2013 Update) Utility-Scale Capacity Factors Useful Life Land Use by System Technology LCOE Calculator Capacity factor for energy technologies. For more information, please download supporting data for energy technology costs.

477

Property:Plants with Unknown Planned Capacity | Open Energy Information  

Open Energy Info (EERE)

Plants with Unknown Planned Capacity Plants with Unknown Planned Capacity Jump to: navigation, search Property Name Plants with Unknown Planned Capacity Property Type String Description Number of plants with unknown planned capacity per GEA Pages using the property "Plants with Unknown Planned Capacity" Showing 21 pages using this property. A Alaska Geothermal Region + 1 + C Cascades Geothermal Region + 2 + Central Nevada Seismic Zone Geothermal Region + 9 + G Gulf of California Rift Zone Geothermal Region + 4 + H Hawaii Geothermal Region + 0 + Holocene Magmatic Geothermal Region + 0 + I Idaho Batholith Geothermal Region + 1 + N Northern Basin and Range Geothermal Region + 11 + Northern Rockies Geothermal Region + 0 + Northwest Basin and Range Geothermal Region + 9 + R Rio Grande Rift Geothermal Region + 1 +

478

India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate  

Open Energy Info (EERE)

Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Jump to: navigation, search Name India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Agency/Company /Organization Swiss Agency for Development and Cooperation Sector Energy, Land, Water Focus Area Agriculture Topics Co-benefits assessment, Background analysis Resource Type Lessons learned/best practices Website http://www.intercooperation.or Country India Southern Asia References India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change[1] India-Vulnerability Assessment and Enhancing Adaptive Capacities to Climate Change Screenshot Contents 1 Introduction [1] 2 Community-based Institutions [2] 3 Pasture Land Development [3]

479

Property:Device Nameplate Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Nameplate Capacity (MW) Nameplate Capacity (MW) Jump to: navigation, search Property Name Device Nameplate Capacity (MW) Property Type String Pages using the property "Device Nameplate Capacity (MW)" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/40MW Lewis project + 0 8MW 1MW Farms of multiple machines will be deployed with installed capacity of circa 20MW + MHK Projects/Algiers Light Project + 40 kW + MHK Projects/Anconia Point Project + 40 kW + MHK Projects/Ashley Point Project + 40 kW + MHK Projects/Avondale Bend Project + 40 kW + MHK Projects/Bar Field Bend + 40 kW + MHK Projects/Barfield Point + 40 kW + MHK Projects/Bayou Latenache + 40 kW + MHK Projects/BioSTREAM Pilot Plant + 250kW pilot 1MW commercial scale + MHK Projects/Bondurant Chute + 40 kW +

480

Property:NetProdCapacity | Open Energy Information  

Open Energy Info (EERE)

NetProdCapacity NetProdCapacity Jump to: navigation, search Property Name NetProdCapacity Property Type Quantity Description Sum of the property SummerPeakNetCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

Note: This page contains sample records for the topic "total design capacity" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
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481

Procyanidin and Catechin Contents and Antioxidant Capacity of Cocoa and Chocolate Products  

Science Journals Connector (OSTI)

Cocoa and chocolate products from major brands were analyzed blind for total antioxidant capacity (AOC) (lipophilic and hydrophilic ORACFL), catechins, and procyanidins (monomer through polymers). ... The natural cocoa powders (average 87% of NFCS) contained the highest levels of AOC (826 103 ?mol of TE/g) and PCs (40.8 8.3 mg/g). ... Alkalized cocoa (Dutched powders, average 80% NFCS) contained lower AOC (402 6 ?mol of TE /g) and PCs (8.9 2.7 mg/g). ...

Liwei Gu; Suzanne E. House; Xianli Wu; Boxin Ou; Ronald L. Prior

2006-05-04T23:59:59.000Z

482

"Period","Annual Production Capacity",,"Monthly B100 Production"  

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

U.S. Biodiesel Production Capacity and Production" U.S. Biodiesel Production Capacity and Production" "(million gallons)" "Period","Annual Production Capacity",,"Monthly B100 Production" 2011 "January",2114.4475,,35.355469 "February",2103.5975,,40.342355 "March",2081.4975,,59.59017 "April",2101.3975,,71.0517 "May",2064.3975,,77.196652 "June",2068.9975,,81.39104 "July",1958.4975,,91.679738 "August",2007.6575,,95.484891 "September",2087.094651,,95.942151 "October",2118.938151,,105.342474 "November",2097.763151,,104.747315 "December",2089.938151,,109.357332 "Total","--",,967.481287 2012 "January",2203.278151,,73.545575 "February",2202.541,,79.23557

483

Design and laboratory testing of an unequal parallel multicompressor supermarket refrigeration system  

SciTech Connect (OSTI)

The Supermarket Refrigeration Systems Project was structured to investigate and develop new highly energy-efficient supermarket refrigeration systems. A supermarket refrigeration system that included unequal parallel compressors, a condenser with floating head-pressure control, and a microprocessor-based electronic control system was analyzed, designed, and tested. The total system capacity is 35 hp (26.10 kW), consisting of three compressors of 5, 10, and 20 hp (3.73, 7.46, and 14.91 kW), which were determined to be the optimum number and capacity distribution. A theoretical comparison to conventional supermarket refrigeration systems revealed that the three unequal parallel compressor system with R-12 exhibited a maximum annual energy savings of 29,100 kWh, or 26 percent and with R-502 exhibited a maximum annual energy savings of 20,100 kWh, or 15 percent. A compressor capacity control algorithm was designed to select the optimum compressor combination for each operating condition by matching compressor capacity to refrigeration load. A microprocessor system was selected for system control and data acquisition. The economic analysis revealed that for a payback period of three years or less, an added microprocessor-based electronic control system that costs between $500 and $1500, depending on the refrigerant used and the refrigeration load, is acceptable. Testing was performed on the unequal parallel compressor system over a refrigeration load range of 78,000 to 160,000 Btu/hr (22.86 to 46.88 kW). For refrigerant R-12, the increase in the energy efficiency ratio (EER) for the microprocessor-based electronic control system, as compared to the mechanical pressure control system, ranged from 9.8 to 14.4 percent.

Toscano, W.M.; Cooper, W.L.; Oven, M.J.; Vineyard, E.A.; Walker, D.H.

1982-01-01T23:59:59.000Z

484

Influence of Surface Structure on the Capacity and Irreversible Capacity Loss of Sn-Based Anodes for Lithium Ion Batteries  

Science Journals Connector (OSTI)

(1-5) Numerous solar and wind power energy plants have been invested in to exploit sustainable and renewable energy. ... These materials demonstrate discharge capacities on the order of 1000 mAh/(g Sn), which is consistent with the alloying capacity limit of 4.4 Li atoms per Sn atom, or 991 mAh/(g Sn). ...

Li Li; Xuan Liu; Shulan Wang; Wenzhi Zhao

2014-05-19T23:59:59.000Z

485

Social Logics in Development of Institutional Capacity The Case of Capacity Development for the Clean Development Mechanism in Uganda  

E-Print Network [OSTI]

for the Clean Development Mechanism in Uganda Karen Holm Olsen International Development Studies Department in Uganda 2002-2006. The study finds that the politics of institutional change processes are largely ignored of Institutional Capacity The case of Capacity Development for the CDM in Uganda The 15th International Climate

486

HT Combinatorial Screening of Novel Materials for High Capacity Hydrogen Storage  

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

FLORIDA SOLAR ENERGY CENTER FLORIDA SOLAR ENERGY CENTER Creating Energy Independence Since 1975 A Research Institute of the University of Central Florida HT Combinatorial Screening of HT Combinatorial Screening of Novel Materials for High Capacity Novel Materials for High Capacity Hydrogen Storage Hydrogen Storage Ali T Ali T - - Raissi Raissi Director, Hydrogen & Fuel Cell R&D Director, Hydrogen & Fuel Cell R&D Division Division High Throughput/Combinatorial Analysis of Hydrogen Storage High Throughput/Combinatorial Analysis of Hydrogen Storage Materials Workshop, Bethesda, MD Materials Workshop, Bethesda, MD 26 June 2007 26 June 2007 This presentation does not contain any proprietary or confidential information 2 Objectives Objectives Develop (i.e. design, build, test and verify) a high

487

How Much is Too Much ? Carrying capacity of National Parks and Protected Areas  

E-Print Network [OSTI]

Abstract: Increasing recreational use of national parks and protected areas can impact natural and cultural resources and the quality of the visitor experience. Determining how much recreational use can ultimately be accommodated in a park or protected area is often addressed through the concept of carrying capacity. Contemporary approaches to carrying capacity including the Visitor Experience and Resource Protection (VERP) framework developed by the U.S. National Park Service rely on formulation of indicators and standards of quality of natural/cultural resources and the visitor experience. This paper describes the VERP framework and its application in the U.S. national park system, including a program of research designed to help formulate indicators and standards of quality.

Robert E. Manning

2002-01-01T23:59:59.000Z

488

Million Cu. Feet Percent of National Total  

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

8 8 Illinois - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 45 51 50 40 40 Production (million cubic feet) Gross Withdrawals From Gas Wells E 1,188 E 1,438 E 1,697 2,114 2,125 From Oil Wells E 5 E 5 E 5 7 0 From Coalbed Wells E 0 E 0 0 0 0 From Shale Gas Wells 0

489

Million Cu. Feet Percent of National Total  

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

50 50 North Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 194 196 188 239 211 Production (million cubic feet) Gross Withdrawals From Gas Wells 13,738 11,263 10,501 14,287 22,261 From Oil Wells 54,896 45,776 38,306 27,739 17,434 From Coalbed Wells 0

490

Million Cu. Feet Percent of National Total  

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

0 0 Mississippi - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 2,343 2,320 1,979 5,732 1,669 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,673 337,168 387,026 429,829 404,457 From Oil Wells 7,542 8,934 8,714 8,159 43,421 From Coalbed Wells 7,250

491

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,735 6,426 7,303 7,470 7,903 Production (million cubic feet) Gross Withdrawals From Gas Wells R 6,681 R 7,419 R 16,046 R 23,086 20,375 From Oil Wells 0 0 0 0 0 From Coalbed Wells R 86,275 R 101,567

492

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Michigan - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 9,712 9,995 10,600 10,100 11,100 Production (million cubic feet) Gross Withdrawals From Gas Wells R 80,090 R 16,959 R 20,867 R 7,345 18,470 From Oil Wells 54,114 10,716 12,919 9,453 11,620 From Coalbed Wells 0

493

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Montana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,925 7,095 7,031 6,059 6,477 Production (million cubic feet) Gross Withdrawals From Gas Wells R 69,741 R 67,399 R 57,396 R 51,117 37,937 From Oil Wells 23,092 22,995 21,522 19,292 21,777 From Coalbed Wells

494

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Mississippi - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,315 2,343 2,320 1,979 5,732 Production (million cubic feet) Gross Withdrawals From Gas Wells R 259,001 R 331,673 R 337,168 R 387,026 429,829 From Oil Wells 6,203 7,542 8,934 8,714 8,159 From Coalbed Wells

495

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Indiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,350 525 563 620 914 Production (million cubic feet) Gross Withdrawals From Gas Wells 3,606 4,701 4,927 6,802 9,075 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

496

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 New York - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,680 6,675 6,628 6,736 6,157 Production (million cubic feet) Gross Withdrawals From Gas Wells 54,232 49,607 44,273 35,163 30,495 From Oil Wells 710 714 576 650 629 From Coalbed Wells 0

497

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Texas - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 76,436 87,556 93,507 95,014 100,966 Production (million cubic feet) Gross Withdrawals From Gas Wells R 4,992,042 R 5,285,458 R 4,860,377 R 4,441,188 3,794,952 From Oil Wells 704,092 745,587 774,821 849,560 1,073,301

498

Million Cu. Feet Percent of National Total  

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

2 2 Ohio - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 34,416 34,963 34,931 46,717 35,104 Production (million cubic feet) Gross Withdrawals From Gas Wells 79,769 83,511 73,459 30,655 65,025 From Oil Wells 5,072 5,301 4,651 45,663 6,684 From Coalbed Wells 0

499

Million Cu. Feet Percent of National Total  

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

0 0 Colorado - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 25,716 27,021 28,813 30,101 32,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 496,374 459,509 526,077 563,750 1,036,572 From Oil Wells 199,725 327,619 338,565

500

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 South Dakota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 71 71 89 102 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 422 R 1,098 R 1,561 1,300 933 From Oil Wells 11,458 10,909 11,366 11,240 11,516 From Coalbed Wells 0 0