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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
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1

Total Natural Gas Underground Storage Capacity  

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

Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of Aquifers Working Gas Capacity of Depleted Fields Total Number of Existing Fields Number of Existing Salt...

2

Total Natural Gas Underground Storage Capacity  

Annual Energy Outlook 2012 (EIA)

Gas Capacity Total Number of Existing Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

3

Total Atmospheric Crude Oil Distillation Capacity Former ...  

U.S. Energy Information Administration (EIA)

Former Corporation/Refiner Total Atmospheric Crude Oil Distillation Capacity (bbl/cd)a New Corporation/Refiner Date of Sale Table 14. Refinery Sales During 2005

4

Lower 48 States Total Natural Gas Underground Storage Capacity...  

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

data. Release Date: 9302013 Next Release Date: 10312013 Referring Pages: Total Natural Gas Underground Storage Capacity Lower 48 States Underground Natural Gas Storage Capacity...

5

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

6

Global nuclear generation capacity totaled more than 370 gigawatts ...  

U.S. Energy Information Administration (EIA)

China—where plans for large increases in nuclear capacity had been announced—instituted a temporary moratorium on new approvals for nuclear power ...

7

Cogeneration Plant is Designed for Total Energy  

E-Print Network (OSTI)

This paper describes application considerations, design criteria, design features, operating characteristics and performance of a 200 MW combined cycle cogeneration plant located at Occidental Chemical Corporation's Battleground chlorine-caustic plant at La Porte, Texas. This successful application of a total energy management concept utilizing combined cycle cogeneration in an energy intensive electrochemical manufacturing process has resulted in an efficient reliable energy supply that has significantly reduced energy cost and therefore manufacturing cost.

Howell, H. D.; Vera, R. L.

1987-09-01T23:59:59.000Z

8

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

9

,"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"

10

U.S. Total Natural Gas Underground Storage Capacity (Million Cubic ...  

U.S. Energy Information Administration (EIA)

U.S. Total Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1989: 8,119,368: 8,119,368: 8,119,368 ...

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

Toward an Ideal Polymer Binder Design for High-Capacity Battery...  

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

Toward an Ideal Polymer Binder Design for High-Capacity Battery Anodes Title Toward an Ideal Polymer Binder Design for High-Capacity Battery Anodes Publication Type Journal Article...

13

New EIA data show total grid-connected photovoltaic solar capacity ...  

U.S. Energy Information Administration (EIA)

Using new information, EIA combines data on utility-scale solar photovoltaic (PV) capacity with customer-sited PV capacity, as reported in the graphic.

14

A Benders decomposition approach for a distribution network design problem with consolidation and capacity considerations  

Science Conference Proceedings (OSTI)

We develop a model for a strategic freight-forwarding network design problem in which the design decisions involve the locations and capacities of consolidation and deconsolidation centers, and capacities on linehaul linkages as well as the shipment ... Keywords: Benders decomposition, Consolidation, Network design

Halit íSter; Homarjun Agrahari

2011-03-01T23:59:59.000Z

15

Designing Rules for the Capacity Market Hlne Le Cadre Michal Soubra  

E-Print Network (OSTI)

In this article, the energy market is a modeled as a Stackelberg game involving three categories of agents per unit of demand. Finally, coupling the energy and the capacity markets, we design rules for the ca the liberalization of the energy market and imposes the creation of a capacity market in 2015 which long term goal

16

U.S. Electric Net Summer Capacity, 2004 - 2008 Provides total...  

Open Energy Info (EERE)

the nonrenewable total. 2010-11-19T21:48:42Z 2010-12-07T21:38:03Z www.eia.doe.govcneafsolar.renewablespagetrendstable19.xls I accessed this data set from a public site....

17

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

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

18

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

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

19

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

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

20

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

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

22

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

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

23

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

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

24

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

25

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

26

Totally green: evaluating and designing servers for lifecycle environmental impact  

Science Conference Proceedings (OSTI)

The environmental impact of servers and datacenters is an important future challenge. System architects have traditionally focused on operational energy as a proxy for designing green servers, but this ignores important environmental implications from ... Keywords: datacenter design, dematerialization, disaggregation, environmental sustainability, exergy, green computing, lifecycle impact, server architecture

Jichuan Chang; Justin Meza; Parthasarathy Ranganathan; Amip Shah; Rocky Shih; Cullen Bash

2012-04-01T23:59:59.000Z

27

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

28

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

29

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.....................................................

30

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.....................................................

31

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.....................................................

32

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.....................................................

33

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.....................................................

34

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......................................

35

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

36

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.....................................................

37

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.....................................................

38

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

39

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

40

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...............................

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

Design of indoor communication infrastructure for ultra-high capacity next generation wireless services  

E-Print Network (OSTI)

identification (RFID) tags to wirelessly track all manner of things. In 2009 alone over 2.4 billion RFID tags were produced [4]. The growth in the use of mobile devices, wireless internet devices and RFID tags is summarised in Figure 1.1. The increasing size... . Finally, the design of DAS to support emerging wireless protocols, such as 802.11ac, that have large numbers of MIMO streams (4-8) is considered. In such cases, capacity is best enhanced by sending multiple MIMO streams to single remote locations...

Gordon, George S. D.

2013-11-12T23:59:59.000Z

42

Natural Gas Underground Storage Capacity (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of...

43

Fail-Safe Design for Large Capacity Lithium-Ion Battery Systems  

Science Conference Proceedings (OSTI)

A fault leading to a thermal runaway in a lithium-ion battery is believed to grow over time from a latent defect. Significant efforts have been made to detect lithium-ion battery safety faults to proactively facilitate actions minimizing subsequent losses. Scaling up a battery greatly changes the thermal and electrical signals of a system developing a defect and its consequent behaviors during fault evolution. In a large-capacity system such as a battery for an electric vehicle, detecting a fault signal and confining the fault locally in the system are extremely challenging. This paper introduces a fail-safe design methodology for large-capacity lithium-ion battery systems. Analysis using an internal short circuit response model for multi-cell packs is presented that demonstrates the viability of the proposed concept for various design parameters and operating conditions. Locating a faulty cell in a multiple-cell module and determining the status of the fault's evolution can be achieved using signals easily measured from the electric terminals of the module. A methodology is introduced for electrical isolation of a faulty cell from the healthy cells in a system to prevent further electrical energy feed into the fault. Experimental demonstration is presented supporting the model results.

Kim, G. H.; Smith, K.; Ireland, J.; Pesaran, A.

2012-07-15T23:59:59.000Z

44

Army Solid State Laser Program: Design, Operation, and Mission Analysis for a Heat-Capacity Laser  

DOE Green Energy (OSTI)

Solid-state lasers have held great promise for the generation of high-average-power, high-quality output beams for a number of decades. However, the inherent difficulty of scaling the active solid-state gain media while continuing to provide efficient cooling has limited demonstrated powers to <5kW. Even at the maximum demonstrated average powers, the output is most often delivered as continuous wave (CW) or as small energy pulses at high pulse repetition frequency (PRF) and the beam divergence is typically >10X the diffraction limit. Challenges posed by optical distortions and depolarization arising from internal temperature gradients in the gain medium of a continuously cooled system are only increased for laser designs that would attempt to deliver the high average power in the form of high energy pulses (>25J) from a single coherent optical aperture. Although demonstrated phase-locking of multiple laser apertures may hold significant promise for the future scaling of solid-state laser systems,1 the continuing need for additional technical development and innovation coupled with the anticipated complexity of these systems effectively limits this approach for near-term multi-kW laser operation outside of a laboratory setting. We have developed and demonstrated a new operational mode for solid-state laser systems in which the cooling of the gain medium is separated in time from the lasing cycle. In ''heat-capacity'' operation, no cooling takes place during lasing. The gain medium is pumped very uniformly and the waste heat from the excitation process is stored in the solid-state gain medium. By depositing the heat on time scales that are short compared to thermal diffusion across the optical aperture, very high average power operation is possible while maintaining low optical distortions. After a lasing cycle, aggressive cooling can then take place in the absence of lasing, limited only by the fracture limit of the solid-state medium. This mode of operation is ideally suited for applications that require 1-30s engagements at very high average power. If necessary, multiple laser apertures can provide continuous operation. Land Combat mission analysis of a stressing air defense scenario including a dense attack of rockets, mortars, and artillery has indicated that multiple HEL weapon systems, based on the solid state, heat capacity laser concept, can provide significantly improved protection of high value battlefield assets. We will present EADSIM results for two government-supplied scenarios, one with temporally high threat density over a fairly large defended area, and one with fewer threats concentrating on a single defended asset. Implications for weapon system requirements will be presented. In order to demonstrate the operation of a high average power heat-capacity laser system, we have developed a flashlamp-pumped Nd:glass laser with output energies in the range of 500-1000J/pulse in a 10 x 10cm{sup 2} beam. With a repetition frequency of 20Hz, an average power of 13kW has been demonstrated for operational periods of up to 10s using a stable optical resonator (see enclosed figure). Using an M=1.4 unstable resonator, a beam divergence of 5X diffraction-limited has been measured with no active wavefront correction. An adaptively corrected unstable resonator that incorporates an intracavity deformable mirror controlled by feedback from an external wavefront sensor will provide <2X diffraction-limited output integrated over an entire 10s run at an average power of 10kW. A very similar laser architecture in which the Nd:glass is replaced by Nd:GGG and the flashlamps are replaced by large diode-laser arrays will enable the scaling of the output average power from the demonstrated 10kW to 100kW (500J/pulse at 200Hz). Risk reduction experiments for diode-pumped Nd:GGG, the fabrication of large Nd:GGG amplifier slabs, as well as the progress toward a sub-scale amplifier testbed pumped by diode arrays with total of 1MW peak power will also be presented.

Dane, C B; Flath, L; Rotter, M; Fochs, S; Brase, J; Bretney, K

2001-05-18T23:59:59.000Z

45

Fort Hood Solar Total Energy Project. Volume II. Preliminary design. Part 1. System criteria and design description. Final report  

DOE Green Energy (OSTI)

This volume documents the preliminary design developed for the Solar Total Energy System to be installed at Fort Hood, Texas. Current system, subsystem, and component designs are described and additional studies which support selection among significant design alternatives are presented. Overall system requirements which form the system design basis are presented. These include program objectives; performance and output load requirements; industrial, statutory, and regulatory standards; and site interface requirements. Material in this section will continue to be issued separately in the Systems Requirements Document and maintained current through revision throughout future phases of the project. Overall system design and detailed subsystem design descriptions are provided. Consideration of operation and maintenance is reflected in discussion of each subsystem design as well as in an integrated overall discussion. Included are the solar collector subsystem; the thermal storage subsystem, the power conversion sybsystem (including electrical generation and distribution); the heating/cooling and domestic hot water subsystems; overall instrumentation and control; and the STES building and physical plant. The design of several subsystems has progressed beyond the preliminary stage; descriptions for such subsystems are therefore provided in more detail than others to provide complete documentation of the work performed. In some cases, preliminary design parameters require specific verificaton in the definitive design phase and are identified in the text. Subsystem descriptions will continue to be issued and revised separately to maintain accuracy during future phases of the project. (WHK)

None,

1979-01-01T23:59:59.000Z

46

"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"

47

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,jaein,culler}@cs.berkeley.edu Abstract This paper describes a systematic approach to building micro-solar power subsystems for wireless of engineering, sizing, and analyzing the power subsystem. Many tools and calculators are available for macro-solar

Culler, David E.

48

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

E-Print Network (OSTI)

The purpose of this research is to present the design and development of a routing system, custom developed for a fence manufacturing company in the continental US. The objective of the routing module of the system is to generate least cost routes from the home-center of the company to a set of delivery locations. Routes are evolved for a set of customer locations based on the sales order information and are frequently modified to include rush orders. These routes are such that each delivery is made within a given time window. Further, total truckload of all delivery locations over any particular route is not allowed to exceed the weight and volume capacities of the truck. The basic system modules such as user interface functions and database are designed using MS Access 2000. An interface module to retrieve data from existing ERP system of the company is developed to import pick-ticket information. A customer inter-distance maintenance module is designed with the abilities of a learning tool to reduce information retrieval time between the routing system and the GIS server. The Graphical User Interface with various screen forms and printable reports is developed along with the routing module to achieve complete system functionality and to provide an efficient logistics solution. This problem, formulated as a mixed-integer program, is of particular interest due to its generality to model problem scenarios in the production shop such as job-shop scheduling, material handling, etc. This problem is coded and solved for instances with different input parameters using AMPL/CPLEX. Results of test runs for the company data show that the solution time increases exponentially with the number of customers. Hence, a heuristic approach is developed and implemented. Sample runs with small instances are solved for optimality using AMPL/CPLEX and are used to compare the performance of the heuristics. However, test runs solved using the heuristics for larger instances are compared with the manual routing costs. The comparison shows a considerable cost savings for heuristic solutions. Further, a what-if analysis module is implemented to aid the dispatcher in choosing input parameters based on sensitivity analysis. In conclusion, further improvement of the routing system and future research directions are proposed.

Easwaran, Gopalakrishnan

2003-08-01T23:59:59.000Z

49

Survivable IP topology design with re-use of backup wavelength capacity in optical backbone networks  

Science Conference Proceedings (OSTI)

In IP-over-WDM networks, wavelength circuits are often protected by dedicated backup circuits. Especially with future deployment of 100 G transmission systems, this will induce huge under-utilization of backup resources. Network utilization can be boosted ... Keywords: Backup capacity, IP-over-WDM networks, Packet services, Survivable IP topology, Wavelength services

Chaitanya S. K. Vadrevu; Massimo Tornatore

2010-12-01T23:59:59.000Z

50

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?

51

A Solution Algorithm for Long Haul Freight Network Design Using Shipper-Carrier Freight Flow Prediction with Explicit Capacity Constraints  

E-Print Network (OSTI)

PREDICTION WITH EXPLICIT CAPACITY CONSTRAINTS Pruttipong “Additionally, an explicit capacity constraint is used toAdditionally, an explicit capacity constraint is used to

Apivatanagul, Pruttipong “Palm”; Regan, A C

2008-01-01T23:59:59.000Z

52

Tradeoffs among Free-flow Speed, Capacity, Cost, and Environmental Footprint in Highway Design  

E-Print Network (OSTI)

in Highway Design Chen Feng Ng, California State University,in Highway Design Chen Feng Ng and Kenneth A. Small May 17,R42 Contacts: Chen Feng Ng (corresponding author) Department

Ng, Chen Feng; Small, Kenneth

2011-01-01T23:59:59.000Z

53

Conceptual design of a 5x CPC for solar total energy systems  

DOE Green Energy (OSTI)

The results of a conceptual design of a nontracking collector for a solar total energy system are described. Sandia Laboratories has responsibility for the evaluation of concentrating collectors in a total energy test bed. A Rankine cycle turbine, generator, controls, thermal storage, and air conditioning equipment have been installed and checked out. The thermal energy for the facility is to be provided by a large (approximately 800 m/sup 2/) concentrating collector field. At present a portion of the area is installed as E-W oriented linear parabolic troughs. Three additional concepts for the remaining area have been selected--a fixed mirror-moving receiver system, fixed receiver-moving reflector slats, and a two-axis tracking parabolic dish. All four systems use diurnal tracking and have the reflecting surfaces exposed to the elements. Argonne National Laboratory has been working on the development of non-tracking concentrators for high temperature operation. The recent experimental results indicate that a 5x CPC collector with only 12 adjustments per year could effectively compete with the systems presently being considered. These collectors would be enclosed under a protective cover glass, eliminating many of the problems with dirt, etc. A conceptual design of a CPC collector system is presented.

Cole, R; Schertz, W W; Teagan, W P

1977-01-01T23:59:59.000Z

54

DESIGN STUDY OF A NUCLEAR POWER PLANT FOR 100-KW ELECTRIC AND 400-KW HEAT CAPACITY  

SciTech Connect

A conceptional design study was made of a lowpower ''package'' reactor plant for the production of 100 kw of electrical power and 400 kw of heat at remote Arctic installations. The power plant steam generator is proposed to be an unmanned, heterogeneous, boilingtype reactor capable of continuous operation for extended periods. The design is based on data derived from experiments with boiling-type reactors conducted by Argorne at the Reactor Testing Station, Arco, Idaho.

Treshow, M.; Snider, A.R.; Shaftman, D.H.

1955-05-01T23:59:59.000Z

55

Fail-Safe Design for Large Capacity Li-Ion Battery Systems  

candidate for energy storage of electric drive vehicles due to their high power and energy density. The total electric vehicle LIB market shipped 2,400 units in 2008 generating over $28 million in revenue and is predicted to be greater than $10 ...

56

Criticality safety and shielding design issues in the development of a high-capacity cask for truck transport  

SciTech Connect

General Atomics (GA) will be submitting an application for certification to the US Nuclear Regulatory Commission (NRC) for the GA-4 and GA-9 Casks In 1992. The GA-4 and GA-9 Casks are high-capacity legal weight truck casks designed to transport light water reactor spent fuel assemblies. To maintain a capacity of four pressurized-water-reactor (PWR) spent fuel assemblies, the GA-4 Cask uses burnup credit as part of the criticality control for initial enrichments over 3.0 wt% U-235. Using the US Department of Energy (DOE) Burnup Credit Program as a basis, GA has performed burnup credit analysis which is included in the Safety Analysis Report for Packaging (SARP). The GA-9 Cask can meet the criticality safety requirements using the ``fresh fuel`` assumption. Our approach to shielding design is to optimize the GA-4 and GA-9 Cask shielding configurations for minimum weights and maximum payloads. This optimization involves the use of the most effective shielding material, square cross-section geometry with rounded corners and tapered neutron shielding sections in the non-fuel regions.

Boshoven, J.K.

1992-08-01T23:59:59.000Z

57

Criticality safety and shielding design issues in the development of a high-capacity cask for truck transport  

Science Conference Proceedings (OSTI)

General Atomics (GA) will be submitting an application for certification to the US Nuclear Regulatory Commission (NRC) for the GA-4 and GA-9 Casks In 1992. The GA-4 and GA-9 Casks are high-capacity legal weight truck casks designed to transport light water reactor spent fuel assemblies. To maintain a capacity of four pressurized-water-reactor (PWR) spent fuel assemblies, the GA-4 Cask uses burnup credit as part of the criticality control for initial enrichments over 3.0 wt% U-235. Using the US Department of Energy (DOE) Burnup Credit Program as a basis, GA has performed burnup credit analysis which is included in the Safety Analysis Report for Packaging (SARP). The GA-9 Cask can meet the criticality safety requirements using the fresh fuel'' assumption. Our approach to shielding design is to optimize the GA-4 and GA-9 Cask shielding configurations for minimum weights and maximum payloads. This optimization involves the use of the most effective shielding material, square cross-section geometry with rounded corners and tapered neutron shielding sections in the non-fuel regions.

Boshoven, J.K.

1992-01-01T23:59:59.000Z

58

Design of a real time switching control scheme for capacity compensation of distribution feeders  

SciTech Connect

A new control scheme for multilevel control of capacitors on radial distribution feeders is developed for implementation by an on-line, substation-based computer. The control objectives are the minimization of radial feeder losses of energy and power. Control is exercised through multilevel switching of existing shunt-connected static capacitors. It is shown how time-varying load data on existing feeders obtained through measurements at the substation can be taken into account. When reactive-load duration curves can be constructed for existing feeders, it is also shown how to optimally design the control scheme to include fixed and non-simultaneously switched capacitors.

Grainger, J.J.; El-Kib, A.A.; Lee, S.H.

1982-08-01T23:59:59.000Z

59

GENERATING CAPACITY  

E-Print Network (OSTI)

Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating capacity consistent with mandatory reliability criteria. A large part of the problem can be associated with the failure of wholesale spot market prices for energy and operating reserves to rise to high enough levels during periods when generating capacity is fully utilized. Reforms to wholesale energy markets, the introduction of well-design forward capacity markets, and symmetrical treatment of demand response and generating capacity resources to respond to market and institutional imperfections are discussed. This policy reform program is compatible with improving the efficiency of spot wholesale electricity markets, the continued evolution of competitive retail markets, and restores incentives for efficient investment in generating capacity consistent with operating reliability criteria applied by system operators. It also responds to investment disincentives that have been associated with volatility in wholesale energy prices, limited hedging opportunities and to concerns about regulatory opportunism. 1

Paul L. Joskow; Paul L. Joskow; Paul L. Joskow

2006-01-01T23:59:59.000Z

60

Capacity Markets for Electricity  

E-Print Network (OSTI)

Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market”, Power WorkingFelder (1996), “Should Electricity Markets Have a Capacity

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

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.


61

Conceptual design study on incorporating a 25-ton/day pyrolysis unit into an operating total energy system. Final report  

DOE Green Energy (OSTI)

The results of a conceptual design study on incorporating a pyrolysis unit into an existing total energy plant are presented. The objectives of this study were to examine the institutional, technical and economic factors affecting the incorporation of a 25-ton/day pyrolysis unit into the Indian Creek Total Energy Plant. The Indian Creek total energy plant is described. Results of the conceptual design are presented. A survey of the availability of waste materials and a review of health and safety ordinances are included. The technical aspects of the pyrolysis system are discussed, including the results of the review of facilities requirements for the pyrolysis unit, the analysis of necessary system modification, and an estimate of the useful energy contribution by the pyrolysis unit. Results of the life-cycle cost analysis of the pyrolysis unit are presented. The major conclusions are that: there appears to be no institutional or technical barriers to constructing a waste pyrolysis unit at the Indian Creek Total Energy Plant; pyrolysis gas can be consumed in the engines and the boilers by utilizing venturi mixing devices; the engines can consume only 5% of the output of the 25-ton/day pyrolysis unit; Therefore, consumption of pyrolysis gas will be controlled by boiler energy demand patterns; a waste pyrolysis unit is not cost effective at the current natural gas price of $0.90/10/sup 6/ Btu; and pyrolysis is economically attractive at natural gas prices above $3.00/10/sup 6/ Btu.

None

1976-12-13T23:59:59.000Z

62

Fort Hood Solar Total Energy Project. Volume II. Preliminary design. Part 2. System performance and supporting studies. Final report  

DOE Green Energy (OSTI)

The preliminary design developed for the Solar Total Energy System to be installed at Fort Hood, Texas, is presented. System performance analysis and evaluation are described. Feedback of completed performance analyses on current system design and operating philosophy is discussed. The basic computer simulation techniques and assumptions are described and the resulting energy displacement analysis is presented. Supporting technical studies are presented. These include health and safety and reliability assessments; solar collector component evaluation; weather analysis; and a review of selected trade studies which address significant design alternatives. Additional supporting studies which are generally specific to the installation site are reported. These include solar availability analysis; energy load measurements; environmental impact assessment; life cycle cost and economic analysis; heat transfer fluid testing; meteorological/solar station planning; and information dissemination. (WHK)

None,

1979-01-01T23:59:59.000Z

63

Application analysis of solar total energy systems to the residential sector. Volume III, conceptual design. Final report  

DOE Green Energy (OSTI)

The objective of the work described in this volume was to conceptualize suitable designs for solar total energy systems for the following residential market segments: single-family detached homes, single-family attached units (townhouses), low-rise apartments, and high-rise apartments. Conceptual designs for the total energy systems are based on parabolic trough collectors in conjunction with a 100 kWe organic Rankine cycle heat engine or a flat-plate, water-cooled photovoltaic array. The ORC-based systems are designed to operate as either independent (stand alone) systems that burn fossil fuel for backup electricity or as systems that purchase electricity from a utility grid for electrical backup. The ORC designs are classified as (1) a high temperature system designed to operate at 600/sup 0/F and (2) a low temperature system designed to operate at 300/sup 0/F. The 600/sup 0/F ORC system that purchases grid electricity as backup utilizes the thermal tracking principle and the 300/sup 0/F ORC system tracks the combined thermal and electrical loads. Reject heat from the condenser supplies thermal energy for heating and cooling. All of the ORC systems utilize fossil fuel boilers to supply backup thermal energy to both the primary (electrical generating) cycle and the secondary (thermal) cycle. Space heating is supplied by a central hot water (hydronic) system and a central absorption chiller supplies the space cooling loads. A central hot water system supplies domestic hot water. The photovoltaic system uses a central electrical vapor compression air conditioning system for space cooling, with space heating and domestic hot water provided by reject heat from the water-cooled array. All of the systems incorporate low temperature thermal storage (based on water as the storage medium) and lead--acid battery storage for electricity; in addition, the 600/sup 0/F ORC system uses a therminol-rock high temperature storage for the primary cycle. (WHK)

Not Available

1979-07-01T23:59:59.000Z

64

The convergence of market designs for adequate generating capacity with special attention to the CAISO's resource adequacy problem  

E-Print Network (OSTI)

This paper compares market designs intended to solve the resource adequacy (RA) problem, and finds that, in spite of rivalrous claims, the most advanced designs have nearly converged. The original dichotomy between approaches ...

Cramton, Peter C.

2006-01-01T23:59:59.000Z

65

Modeling Capacity Reservation Contract  

E-Print Network (OSTI)

In this paper we model a scenario where a chip designer (buyer) buys capacity from chip manufacturers (suppliers) in the presence of demand uncertainty faced by the buyer. We assume that the buyer knows the probability distribution of his demand. The supplier offers the buyer to reserve capacity in advance at a price that is lower than the historical average of the spot price. The supplier’s price (if the buyer reserves capacity in advance) is function of her capacity, demand for her capacity, unit production cost, the average spot market price and the amount of capacity reserved by the buyer. Based on these parameters we derive the price the suppliers will charge. We formulate the problem from the buyer’s perspective. The buyer’s decisions are how much capacity to reserve and from how many suppliers. The optimal solution is obtained numerically. Our model addresses the following issues that are not covered in the current literature on capacity reservation models. In the existing literature the supplier’s price is an exogenous parameter. We model the supplier’s price from relevant parameters mentioned above. This makes our model richer. For example, if the expected capacity utilization for the supplier is likely to be low then the supplier will charge a lower price for capacity reservation. In reality, the buyer sources from multiple suppliers. Most mathematical models on capacity reservation, we are aware of, assumes a single buyer and a single supplier. We generalize this to a single buyer and multiple suppliers.

Jishnu Hazra; B. Mahadevan; Sudhi Seshadri

2002-01-01T23:59:59.000Z

66

Total Natural Gas Underground Storage Capacity  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Existing fields ...

67

Total Working Gas Capacity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Existing fields ...

68

? Capacity-based design [Preliminary for Part 2] 2. Energy Harvesting Networks Transmission Completion Time Minimization for single link  

E-Print Network (OSTI)

Transmission Completion Time Minimization for single link w / finite battery Extension to fading channels Transmission policies with inefficient energy storage IEEE ICC 2013, Budapest, Hungary 6/9/2013 Goals ? Energy Efficiency (EE): What it meant last decade; what it means today ? From a communication network design perspective what should we care about for energy efficient design of cellular/conventional wireless networks? (greenish) rechargeable/energy harvesting networks? (green) ? Communication with energy harvesting nodes Green, self-sufficient nodes with extended network lifetime Relatively new field with increasing interest IEEE ICC 2013, Budapest, Hungary 6/9/2013 Prerequisites for the Tutorial

Aylin Yener; Short Term; Throughput Maximization

2013-01-01T23:59:59.000Z

69

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:

70

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......................................

71

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

72

Forward capacity market CONEfusion  

Science Conference Proceedings (OSTI)

In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

Wilson, James F.

2010-11-15T23:59:59.000Z

73

"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"

74

"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"

75

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:

76

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets”, Papers andand Steven Stoft, “Installed Capacity and Price Caps: Oil onElectricity Markets Have a Capacity requirement? If So, How

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

77

2. Gas Productive Capacity  

U.S. Energy Information Administration (EIA)

2. Gas Productive Capacity Gas Capacity to Meet Lower 48 States Requirements The United States has sufficient dry gas productive capacity at the wellhead to meet ...

78

Gulf Coast (PADD 3) Shell Storage Capacity at Operable Refineries  

U.S. Energy Information Administration (EIA)

Propane/Propylene: 4,376: 3,520: 3,565-----1982-2013: ... Notes: Shell storage capacity is the design capacity of the tank. See Definitions, Sources, ...

79

Engineering guidelines for total energy are even more vital during fuel shortage  

SciTech Connect

Large total-energy facilities, from 3 to 20 MW in capacity, are studied, but the guidelines are applicable to small units also. Heat-balance analysis, fuel costs, load factor, load-profile match, and control-system design are engineering parameters for total-energy systems that will improve fuel economy. (MCW)

Kauffmann, W.M.

1974-04-01T23:59:59.000Z

80

Table 40. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Table 40. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2005 Companies with Capacity Over 100,000 bbl/cd

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

Table 5. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Table 5. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2006 Companies with Capacity Over 100,000 bbl/cd

82

Capacity Markets and Market Stability  

Science Conference Proceedings (OSTI)

The good news is that market stability can be achieved through a combination of longer-term contracts, auctions for far enough in the future to permit new entry, a capacity management system, and a demand curve. The bad news is that if and when stable capacity markets are designed, the markets may seem to be relatively close to where we started - with integrated resource planning. Market ideologues will find this anathema. (author)

Stauffer, Hoff

2006-04-15T23:59:59.000Z

83

Shannon capacity of nonlinear regenerative channels  

E-Print Network (OSTI)

We compute Shannon capacity of nonlinear channels with regenerative elements. Conditions are found under which capacity of such nonlinear channels is higher than the Shannon capacity of the classical linear additive white Gaussian noise channel. We develop a general scheme for designing the proposed channels and apply it to the particular nonlinear sine-mapping. The upper bound for regeneration efficiency is found and the asymptotic behavior of the capacity in the saturation regime is derived.

Sorokina, M A

2013-01-01T23:59:59.000Z

84

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

85

Comparison of Productive Capacity  

U.S. Energy Information Administration (EIA)

Appendix B Comparison of Productive Capacity Comparisons of base case productive capacities for this and all previous studies were made (Figure B1).

86

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

87

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

88

Solar total energy: large scale experimental at Shenandoah, Georgia. Phase III. Preliminary design. Final report, October 1, 1977-July 31, 1978  

DOE Green Energy (OSTI)

The basic function of the STES at Shenandoah is to supply the electric power, process steam, and space heating and cooling demands of the expanded 3900 square meters (42,000 ft/sup 2/) Bleyle Plant and for the STES Mechanical Building. The Bleyle factory, initially equipped with its own independent (conventional) energy source, will derive at least 60% of its annual energy needs from the sun when the solar energy system becomes operational in the first quarter of 1981. The design and systems analysis of the STES are detailed. The Solar Collection Substation consists of an array of 192 seven meter diameter, parabolic dish collectors which provide a temperature rise to a flow of Syltherm 800 fluid through each collector in a parallel closed, hydraulic circuit. The receiver is a cavity type with the incident concentrated solar flux impinging upon an absorptive surface enclosed within an insulated cylindrical shell. The trickle oil/dual media concept was selected for the high temperature storage system. The Power Conversion Subsystem consists of a three piece pool-type boiler with preheater, boiler, and superheater, a GFE steam turbine-generator set rated at 400kWe supplied by Mechanical Technology, Inc., a condenser and condensate storage tank, make-up demineralizer, deaerating heater, and boiler feed pump. In normal operation, steam at 655/sup 0/K (720/sup 0/F) and 4.8 x 10/sup 6/ N/m/sup 2/ (700 psig) is generated in the boiler-super-heater, heated by Syltherm 800, and delivered to the turbine inlet. The Thermal Utilization Subsystem major components include a 2.1 x 10/sup 10/ Joule (20 MBtu) capacity, sensible heat water, low temperature storage (LTS) subsystem, a 1.25 x 10/sup 6/ Joules/second (354 ton) absorption chiller derated to provide 6.09 x 10/sup 5/ Joules/second (173 tons) with inlet hot water at 372/sup 0/K (210/sup 0/F), and two separate cooling towers for heat rejection from both the absorption chiller and the PCS condenser. (WHK)

Not Available

1978-09-01T23:59:59.000Z

89

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

90

Estimates of Maximum Underground Working Gas Storage Capacity in ...  

U.S. Energy Information Administration (EIA)

report presents three alternative ... All facilities have a design ... • Some facilities are not operated at design capacity because of operational guidelines ...

91

Table 5. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

CORPORATION / Refiner / Location Table 5. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2011 Calendar Day

92

Table 5. Refiners' Total Operable Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

CORPORATION / Refiner / Location Table 5. Refiners' Total Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2009 Calendar Day

93

Network Routing Capacity  

E-Print Network (OSTI)

We define the routing capacity of a network to be the supremum of all possible fractional message throughputs achievable by routing. We prove that the routing capacity of every network is achievable and rational, we present an algorithm for its computation, and we prove that every non-negative rational number is the routing capacity of some network. We also determine the routing capacity for various example networks. Finally, we discuss the extension of routing capacity to fractional coding solutions and show that the coding capacity of a network is independent of the alphabet used.

Jillian Cannons; Randall Dougherty; Christopher Freiling; Kenneth Zeger

2005-01-01T23:59:59.000Z

94

Illinois Underground Natural Gas Storage Capacity  

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

Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2006 2007 2008 2009 2010 2011 View History Total Storage Capacity 984,768 980,691...

95

California Interstate Natural Gas Pipeline Capacity Levels ...  

U.S. Energy Information Administration (EIA)

PG&E Gas Transmission - NW Tuscarora Pipeline (Malin OR) 110 Mmcf/d 2,080 Mmcf/d Total Interstate Pipeline Capacity into California 7,435 Mmcf/d Net Natural Gas ...

96

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.

97

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......................................

98

ORISE: Capacity Building  

NLE Websites -- All DOE Office Websites (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

99

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

100

U.S. Natural Gas Total Underground Storage Capacity (Million ...  

U.S. Energy Information Administration (EIA)

Home > Natural Gas > Navigator Energy Glossary: View History: Annual : Download Data (XLS File) ... Contact Us · Feedback · Privacy/Security · Careers · About EIA.

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

Availability-Aware Spare Capacity Allocation with Partially Protected Rings.  

E-Print Network (OSTI)

??This thesis work focuses on designing a survivable IP-core network with the minimal investment of spare capacity. A span-oriented spare capacity allocation (SCA) scheme is… (more)

Zulhasnine, Mohammad

2008-01-01T23:59:59.000Z

102

Recent mix of electric generating capacity additions more diverse ...  

U.S. Energy Information Administration (EIA)

Natural gas combined-cycle plants accounted for about 68% of the total natural gas-fired capacity added between 1999 and 2010.

103

Increasing State Capacity Through Clans  

E-Print Network (OSTI)

their role in increasing state capacity With the decline ofhere focus on state capacity and the associated discussionselements of state capacity during the transition from one

Doyle, Jr, Thomas Martin

2009-01-01T23:59:59.000Z

104

Utah Underground Natural Gas Storage Capacity  

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

124,465 124,465 124,465 124,465 124,465 124,465 2002-2013 Total Working Gas Capacity 54,898 54,898 54,898 54,898 54,898 54,898 2012-2013 Total Number of Existing Fields 3 3 3 3 3...

105

Ohio Underground Natural Gas Storage Capacity  

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

577,944 577,944 577,944 577,944 577,944 577,944 2002-2013 Total Working Gas Capacity 230,350 228,030 228,030 228,030 228,030 230,828 2012-2013 Total Number of Existing Fields 24 24...

106

Michigan Underground Natural Gas Storage Capacity  

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

1,078,979 1,078,979 1,078,979 1,079,424 1,079,424 1,079,424 2002-2013 Total Working Gas Capacity 673,200 673,200 674,010 674,455 674,455 674,967 2012-2013 Total Number of Existing...

107

Pennsylvania Underground Natural Gas Storage Capacity  

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

774,309 774,309 774,309 774,309 774,309 774,309 2002-2013 Total Working Gas Capacity 434,174 433,084 433,084 433,084 433,084 433,214 2012-2013 Total Number of Existing Fields 51 51...

108

Oregon Underground Natural Gas Storage Capacity  

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

29,565 29,565 29,565 29,565 29,565 29,565 2002-2013 Total Working Gas Capacity 15,935 15,935 15,935 15,935 15,935 15,935 2012-2013 Total Number of Existing Fields 7 7 7 7 7 7...

109

Colorado Underground Natural Gas Storage Capacity  

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

122,086 122,086 122,086 122,086 122,086 122,086 2002-2013 Total Working Gas Capacity 60,582 60,582 60,582 60,582 60,582 60,582 2012-2013 Total Number of Existing Fields 10 10 10 10...

110

Iowa Underground Natural Gas Storage Capacity  

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

288,210 288,210 288,210 288,210 288,210 288,210 2002-2013 Total Working Gas Capacity 90,313 90,313 90,313 90,313 90,313 90,313 2012-2013 Total Number of Existing Fields 4 4 4 4 4 4...

111

Arkansas Underground Natural Gas Storage Capacity  

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

21,853 21,853 21,853 21,853 21,853 21,853 2002-2013 Total Working Gas Capacity 12,178 12,178 12,178 12,178 12,178 12,178 2012-2013 Total Number of Existing Fields 2 2 2 2 2 2...

112

Virginia Underground Natural Gas Storage Capacity  

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

9,500 9,500 9,500 9,500 9,500 9,500 2002-2013 Total Working Gas Capacity 5,400 5,400 5,400 5,400 5,400 5,400 2012-2013 Total Number of Existing Fields 2 2 2 2 2 2...

113

California Underground Natural Gas Storage Capacity  

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

592,711 592,711 592,711 592,711 592,711 599,711 2002-2013 Total Working Gas Capacity 349,296 349,296 349,296 349,296 349,296 374,296 2012-2013 Total Number of Existing Fields 14 14...

114

Montana Underground Natural Gas Storage Capacity  

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

376,301 376,301 376,301 376,301 376,301 376,301 2002-2013 Total Working Gas Capacity 197,501 197,501 197,501 197,501 197,501 197,501 2012-2013 Total Number of Existing Fields 5 5 5...

115

Maryland Underground Natural Gas Storage Capacity  

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

4,000 64,000 64,000 64,000 64,000 64,000 2002-2013 Total Working Gas Capacity 18,300 18,300 18,300 18,300 18,300 18,300 2012-2013 Total Number of Existing Fields 1 1 1 1 1 1...

116

Indiana Underground Natural Gas Storage Capacity  

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

110,749 110,749 110,749 110,749 110,749 110,749 2002-2013 Total Working Gas Capacity 33,024 33,024 33,024 33,024 33,024 33,024 2012-2013 Total Number of Existing Fields 22 22 22 22...

117

West Virginia Underground Natural Gas Storage Capacity  

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

524,332 524,337 524,337 524,337 524,337 524,337 2002-2013 Total Working Gas Capacity 256,454 257,322 257,319 257,315 257,311 258,072 2012-2013 Total Number of Existing Fields 30 30...

118

Illinois Underground Natural Gas Storage Capacity  

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

999,931 999,931 999,931 999,931 999,931 1,000,281 2002-2013 Total Working Gas Capacity 302,962 302,962 302,962 302,962 302,962 303,312 2012-2013 Total Number of Existing Fields 28...

119

Oklahoma Underground Natural Gas Storage Capacity  

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

370,838 370,838 370,838 370,838 370,838 370,838 2002-2013 Total Working Gas Capacity 180,358 180,358 180,358 180,358 180,358 180,358 2012-2013 Total Number of Existing Fields 13 13...

120

New York Underground Natural Gas Storage Capacity  

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

245,579 245,579 245,779 245,779 245,779 245,779 2002-2013 Total Working Gas Capacity 129,026 129,026 129,221 129,221 129,221 129,551 2012-2013 Total Number of Existing Fields 26 26...

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

Louisiana Underground Natural Gas Storage Capacity  

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

74,940 674,940 708,440 708,303 715,203 714,443 2002-2013 Total Working Gas Capacity 399,572 399,572 424,021 423,472 428,072 428,482 2012-2013 Total Number of Existing Fields 17 17...

122

Wyoming Underground Natural Gas Storage Capacity  

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

124,937 124,937 124,937 157,985 157,985 157,985 2002-2013 Total Working Gas Capacity 48,705 48,705 48,705 73,705 73,705 73,705 2012-2013 Total Number of Existing Fields 9 9 9 9 9 9...

123

Kentucky Underground Natural Gas Storage Capacity  

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

21,723 221,723 221,723 221,723 221,723 221,723 2002-2013 Total Working Gas Capacity 107,600 107,600 107,600 107,600 107,600 107,600 2012-2013 Total Number of Existing Fields 23 23...

124

ORISE: Capacity Building  

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

Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute...

125

Design  

NLE Websites -- All DOE Office Websites (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

126

Capacity on Finsler Spaces  

E-Print Network (OSTI)

Here, the concept of electric capacity on Finsler spaces is introduced and the fundamental conformal invariant property is proved, i.e. the capacity of a compact set on a connected non-compact Finsler manifold is conformal invariant. This work enables mathematicians and theoretical physicists to become more familiar with the global Finsler geometry and one of its new applications.

Bidabad, B

2009-01-01T23:59:59.000Z

127

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

128

Battery capacity indicator  

SciTech Connect

This patent describes a battery capacity indicator for providing a continuous indication of battery capacity for a battery powered device. It comprises means for periodically effecting a first and a second positive discharge rate of the battery; voltage measurement means, for measuring the battery terminal voltage at the first and second positive discharge rates during the operation of the device, and for generating a differential battery voltage value in response thereto; memory means for storing a set of predetermined differential battery voltage values and a set of predetermined battery capacity values, each of the set of predetermined differential battery voltage values defining one of the set of predetermined battery capacity values; comparison means, coupled to the memory means and to the voltage measurement means, for comparing the measured differential battery voltage values with the set of predetermined differential battery voltage values, and for selecting the predetermined battery capacity value corresponding thereto.

Kunznicki, W.J.

1991-07-16T23:59:59.000Z

129

Enhancement of the Refrigerant Capacity in Partially Crystallized Gd ...  

Science Conference Proceedings (OSTI)

Consequently, the magnetic refrigerant capacity of the partially crystallized alloys is ... Alloy Design and Powder Processing of Mn-Al Based Materials for Rare ...

130

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.

131

Lateral Capacity Exchange and Its Impact on Capacity Investment Decisions  

E-Print Network (OSTI)

We study the problem of capacity exchange between two …rms in anticipation of the mismatch between demand and capacity and its impact on …rm’s capacity investment decisions. For given capacity investment levels of the two …rms, we demonstrate how capacity price may be determined and how much capacity should be exchanged when either manufacturer acts as a Stackelberg leader in the capacity exchange game. By benchmarking against the centralized system, we show that a side payment may be used to coordinate the capacity exchange decisions. We then study the …rms’capacity investment decisions using a biform game framework in which capacity investment decisions are made individually and exchange decisions are made as in a centralized system. We demonstrate the existence and uniqueness of the Nash equilibrium capacity investment levels and study the impact of …rms’share of the capacity exchange surplus on their capacity investment levels.

Amiya K. Chakravartyz; Jun Zhangy

2005-01-01T23:59:59.000Z

132

Capacity Markets for Electricity  

E-Print Network (OSTI)

Global Agenda, August 15. [6] FERC, Docket No. EL01-63-003,at http://www.pjm.com. [7] FERC, Docket No. ER01-1440-capacity of the others” (FERC, 2001). Therefore, if an LSE

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

133

Refinery Capacity Report 2007  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage 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.

Information Center

2007-06-29T23:59:59.000Z

134

Refinery Capacity Report 2009  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage 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.

Information Center

2009-06-25T23:59:59.000Z

135

Refinery Capacity Report 2008  

Reports and Publications (EIA)

Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; current and projected capacities for atmospheric crude oil distillation, downstream charge, production, and storage 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.

Information Center

2008-06-20T23:59:59.000Z

136

Total System Performance Assessment-License Application Design Selection (LADS) Phase 1 Analysis of Surface Modification Consisting of Addition of Alluvium (Feature 23a)  

Science Conference Proceedings (OSTI)

The objective of this report is to document the analysis that was conducted to evaluate the effect of a potential change to the TSPA-VA base case design that could improve long-term repository performance. The design feature evaluated in this report is a modification of the topographic surface of Yucca Mountain. The modification consists of covering the land surface immediately above the repository foot-print with a thick layer of unconsolidated material utilizing rip-rap and plants to mitigate erosion. This surface modification is designated as Feature 23a or simply abbreviated as F23a. The fundamental aim of F23a is to reduce the net infiltration into the unsaturated zone by enhancing the potential for evapotranspiratiration at the surface; such a change would, in turn, reduce the seepage flux and the rate of radionuclide releases from the repository. Field and modeling studies of water movement in the unsaturated zone have indicated that shallow infiltration at the surface is almost negligible in locations where the bedrock is covered by a sufficiently thick soil layer. In addition to providing storage for meteoric water, a thick soil layer would slow the downward movement of soil moisture to such an extent that evaporation and transpiration could easily transfer most of the soil-water back to the atmosphere. Generic requirements for the effectiveness of this design feature are two-fold. First, the soil layer above the repository foot-print must be thick enough to provide sufficient storage of meteoric water (from episodic precipitation events) and accommodate plant roots. Second, the added soil layer must be engineered so as to mitigate thinning by erosional processes and have sufficient thickness to accommodate the roots of common desert plants. Under these two conditions, it is reasonable to expect that modification would be effective for a significant time period and the net infiltration and deep percolation flux would be reduced by orders of magnitude lower than the present levels. Conceptually, the topographic surface above the repository foot-print would be re-contoured to make it more suitable for placement of unconsolidated materials (e.g., alluvium). Figure 1 shows the region of the surface modification in relation to the location of the repository foot-print. The surface contours in this region after modification are shown in the plot presented in Figure 2. Basically, the surface modification would be accomplished by applying cuts to the ridges slopes on the east flank of Yucca Mountain to produce a relatively uniform slope of about 10%. The alluvium would be covered with rock fragments (to imitate the desert pavement) to reduce erosion. This report documents the modeling assumptions and performance analysis conducted to estimate the long-term performance for Feature 23a. The performance measure for this evaluation is dose-rate. Results are presented that compare the dose-rate time histories for the new design feature to those of the TSPA-VA base case calculation (CRWMS M&O 1998a).

N. Erb

1999-06-11T23:59:59.000Z

137

Capacity and Capacity Utilization in Fishing Industries  

E-Print Network (OSTI)

help design vessel decommissioning schemes such as a vesselof capital to reduce in decommissioning schemes, although it15 3.2. DEA and Vessel Decommissioning The need for vessel

Kirkley, James E; Squires, Dale

1999-01-01T23:59:59.000Z

138

Simplicity in interaction design  

Science Conference Proceedings (OSTI)

Attaining simplicity is a key challenge in interaction design. Our approach relies on a minimalist design exercise to explore the communication capacity for interaction components. This approach results in expressive design solutions, useful perspectives ... Keywords: expressiveness, interface design, simplicity, usability

Angela Chang; James Gouldstone; Jamie Zigelbaum; Hiroshi Ishii

2007-02-01T23:59:59.000Z

139

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.

140

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.

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

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.

142

ATU/Fort Hood Solar Total Energy Military Large-Scale Experiment (LSE-1): system design and support activities. Final report, November 23, 1976-November 30, 1977  

SciTech Connect

The ATU/Fort Hood Solar Total Energy System will include a concentrating solar collector field of several acres. During periods of direct insolation, a heat-transfer fluid will be circulated through the collector field and thus heated to 500 to 600/sup 0/F. Some of the fluid will be circulated through a steam generator to drive a turbine-generator set; additional fluid will be stored in insulated tanks for use when solar energy is not available. The electrical output will satisfy a portion of the electrical load at Fort Hood's 87,000 Troop Housing Complex. Heat extracted from the turbine exhaust in the form of hot water will be used for space heating, absorption air conditioning, and domestic water heating at the 87,000 Complex. Storage tanks for the hot water are also included. The systems analysis and program support activities include studies of solar availability and energy requirements at Fort Hood, investigation of interfacing LSE-1 with existing energy systems at the 87,000 Complex, and preliminary studies of environmental, health, and safety considerations. An extensive survey of available concentrating solar collectors and modifications to a computerized system simulation model for LSE-1 use are also reported. Important program support activities are military liaison and information dissemination. The engineering test program reported involved completion of the Solar Engineering Test Module (SETM) and extensive performance testing of a single module of the linear-focusing collector.

1977-01-01T23:59:59.000Z

143

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.

144

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

145

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

146

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

147

Maryland Underground Natural Gas Storage Capacity  

Annual Energy Outlook 2012 (EIA)

64,000 64,000 64,000 64,000 64,000 64,000 1988-2011 Salt Caverns 0 1999-2011 Depleted Fields 64,000 64,000 64,000 64,000 64,000 64,000 1999-2011 Total Working Gas Capacity 17,300...

148

Tennessee Underground Natural Gas Storage Capacity  

Annual Energy Outlook 2012 (EIA)

1,200 1,200 1,200 1,200 0 1998-2011 Salt Caverns 0 1999-2011 Aquifers 0 1999-2011 Depleted Fields 1,200 1,200 1,200 1,200 0 1999-2011 Total Working Gas Capacity 860 860 0 2008-2011...

149

Iowa Underground Natural Gas Storage Capacity  

Annual Energy Outlook 2012 (EIA)

275,200 278,238 284,747 284,811 288,010 288,210 1988-2011 Aquifers 275,200 278,238 284,747 284,811 288,010 288,210 1999-2011 Depleted Fields 0 1999-2011 Total Working Gas Capacity...

150

Washington Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

43,316 39,341 39,287 39,210 41,309 43,673 1988-2011 Aquifers 43,316 39,341 39,287 39,210 41,309 43,673 1999-2011 Depleted Fields 0 1999-2011 Total Working Gas Capacity 23,033...

151

Nebraska Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

39,469 34,850 34,850 34,850 34,850 34,850 1988-2011 Salt Caverns 0 1999-2011 Depleted Fields 39,469 34,850 34,850 34,850 34,850 34,850 1999-2011 Total Working Gas Capacity 13,619...

152

Missouri Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

32,505 32,940 32,876 10,889 11,502 13,845 1988-2011 Aquifers 32,505 32,940 32,876 10,889 11,502 13,845 1999-2011 Total Working Gas Capacity 11,276 3,040 3,656 6,000 2008-2011...

153

Missouri Underground Natural Gas Storage Capacity  

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

13,845 13,845 13,845 13,845 13,845 13,845 2002-2013 Total Working Gas Capacity 6,000 6,000 6,000 6,000 6,000 6...

154

Minnesota Underground Natural Gas Storage Capacity  

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

7,000 7,000 7,000 7,000 7,000 7,000 2002-2013 Total Working Gas Capacity 2,000 2,000 2,000 2,000 2,000 2...

155

Quantum Zero-error Capacity  

E-Print Network (OSTI)

We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Rex A. C. Medeiros; Francisco M. De Assis

2006-11-08T23:59:59.000Z

156

Refinery Operating Capacity  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

157

Load Capacity of Bodies  

E-Print Network (OSTI)

For the stress analysis in a plastic body $\\Omega$, we prove that there exists a maximal positive number $C$, the \\emph{load capacity ratio,} such that the body will not collapse under any external traction field $t$ bounded by $Y_{0}C$, where $Y_0$ is the elastic limit. The load capacity ratio depends only on the geometry of the body and is given by $$ \\frac{1}{C}=\\sup_{w\\in LD(\\Omega)_D} \\frac{\\int_{\\partial\\Omega}|w|dA} {\\int_{\\Omega}|\\epsilon(w)|dV}=\\left\\|\\gamma_D\\right\\|. $$ Here, $LD(\\Omega)_D$ is the space of isochoric vector fields $w$ for which the corresponding stretchings $\\epsilon(w)$ are assumed to be integrable and $\\gamma_D$ is the trace mapping assigning the boundary value $\\gamma_D(w)$ to any $w\\in LD(\\Omega)_D$.

Reuven Segev

2005-11-01T23:59:59.000Z

158

Capacity Value of Solar Power  

Science Conference Proceedings (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

159

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

160

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

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

Pushing Capacity Payments Forward: Agent-Based Simulation of Available Capacity Markets  

Science Conference Proceedings (OSTI)

This study demonstrates that agent-based simulation is a useful tool for analyzing existing and proposed design features of electricity markets. The study documents not only how this technology functions, but how it can be used. Experiments using computer-based agents were used to simulate the effects of capacity markets on energy markets, and the project takes a particularly close look at the proposed Available Capacity (ACAP) market of the California independent system operator (CA-ISO). These agents p...

2003-11-07T23:59:59.000Z

162

Examining transmission power in minimum capacity underwater acoustic networks  

E-Print Network (OSTI)

This paper explores the prospect of reducing the transmission power required to operate links within an underwater acoustic network by minimizing the total capacity of the network while maintaining certain data flow ...

Stanchak, Kathryn E

2010-01-01T23:59:59.000Z

163

Capacities associated with scalar signed Riesz kernels, and analytic capacity  

E-Print Network (OSTI)

The real and imaginari parts of the Cauchy kernel in the plane are scalar Riesz kernels of homogeneity -1. One can associate with each of them a natural notion of capacity related to bounded potentials. The main result of the paper asserts that these capacities are comparable to classical analytic capacity, thus stressing the real variables nature of analytic capacity. Higher dimensional versions of this result are also considered.

Mateu, Joan; Verdera, Joan

2010-01-01T23:59:59.000Z

164

Impurity Capacities of Slags  

Science Conference Proceedings (OSTI)

Decomposition of Methane during Oxide Reduction Using Natural gas · Delivering a National Process Design Unit with Industry Support · Development of a ...

165

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

166

Capacity with energy constraint in coherent state channel  

E-Print Network (OSTI)

We consider two kind of energy constraints when the output state is a coherent state. One is a constraint on the total energy during a fixed period; the other is a constraint on the total energy for a single code. The first setting can be easily dealt with by using the conventional capacity formula. The second setting requires the general capacity formula for a classical-quantum channel.

Masahito Hayashi

2009-04-02T23:59:59.000Z

167

Multipath Channels of Unbounded Capacity  

E-Print Network (OSTI)

The capacity of discrete-time, noncoherent, multipath fading channels is considered. It is shown that if the variances of the path gains decay faster than exponentially, then capacity is unbounded in the transmit power.

Koch, Tobias

2008-01-01T23:59:59.000Z

168

Heat capacities of elastic solids  

E-Print Network (OSTI)

The work function is embedded in the equation describing the relationship between the constant volume and constant pressure heat capacities. The modification of the work function results that the relationship between these quantities must be changed accordingly. Using the newly derived work functions of elastic solids the description of the heat capacities and the relationship between the heat capacities are given for solid phase.

Garai, J

2005-01-01T23:59:59.000Z

169

Symmetrical Symplectic Capacity with Applications  

E-Print Network (OSTI)

In this paper, we first introduce the concept of symmetrical symplectic capacity for symmetrical symplectic manifolds, and by using this symmetrical symplectic capacity theory we prove that there exists at least one symmetric closed characteristic (brake orbit and $S$-invariant brake orbit are two examples) on prescribed symmetric energy surface which has a compact neighborhood with finite symmetrical symplectic capacity.

Liu, Chungen

2010-01-01T23:59:59.000Z

170

Minnesota Underground Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

7,000 7,000 7,000 7,000 7,000 7,000 1988-2011 Aquifers 7,000 7,000 7,000 7,000 7,000 7,000 1999-2011 Total Working Gas Capacity 2,000 2,000 2,000 2,000 2008-2011 Aquifers 2,000...

171

An Assessment of Railway Capacity  

E-Print Network (OSTI)

In this paper, we review the main concepts and methods to perform capacity analyses, and we present an automated tool that is able to perform several capacity analyses. Capacity is extremely dependent on infrastructure, traffic, and operating parameters. Therefore, an in-depth study of the main factors that influence railway capacity is performed on several Spanish railway infrastructures. The results show how the capacity varies according to factors such as train speed, commercial stops, train heterogeneity, distance between railway signals, and timetable robustness.

M. Abril; F. Barber; A L. Ingolotti; A M. A. Salido; P. Tormos; B A. Lova

2007-01-01T23:59:59.000Z

172

Can Bounded Rationality Explain Excess Capacity? ?  

E-Print Network (OSTI)

Excess capacity is observed in many markets especially those where a substantial initial investment is required. The theoretical literature often explains this feature by strategic attempts to deter entry or to limit new entrants ’ market shares but the empirical evidence for such a rationale is mixed. Moreover, excess capacity has also been observed in experimental studies on capacityconstrained games where there is no entry (and therefore no entry-deterrence motive). This paper explores experimentally another rationale for excess capacity: rather than (in addition to) being a threat to (potential) entrants, excess capacity held by incumbents may constitute a valuable option to reap extra gains from competition with an inexperienced entrant, if he turns out to makes a mistake. In our experimental design we used the level of experience (the number of periods played) as a proxy for the level of rationality and matched subjects with different levels of experience. We find evidence of excess capacity decreasing with opponent’s experience. ? This paper is a sustantially revised version of a chapter of Le Coq and Sturluson’s 2003 Stockholm School of Economics Ph.D. thesis. It was before circulated as "Does Opponent’s experience matter?". The authors would like to thank Tore Ellingsen for his insightful comments in the project’s infancy, Urs Fischbacher for allowig us tousethez-TreesoftwareandHans-TheoNorman for technical help. We thank also seminar participants at the IIOC 2004 (Chicago), EARIE 2003 (Lausanne), SAET 2003 (Rhodos) for helpful comments. We gratefully acknowledge financial

Chloélecoq Jon; Thor Sturluson

2006-01-01T23:59:59.000Z

173

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"

174

Entangling capacity with local ancilla  

E-Print Network (OSTI)

We investigate the entangling capacity of a dynamical operation with access to local ancilla. A comparison is made between the entangling capacity with and without the assistance of prior entanglement. An analytic solution is found for the log-negativity entangling capacity of two-qubit gates, which equals the entanglement of the Choi matrix isomorphic to the unitary operator. Surprisingly, the availability of prior entanglement does not affect this result; a property we call resource independence of the entangling capacity. We prove several useful upper-bounds on the entangling capacity that hold for general qudit dynamical operations, and for a whole family of entanglement measures including log-negativity and log-robustness. The log-robustness entangling capacity is shown to be resource independent for general dynamics. We provide numerical results supporting a conjecture that the log-negativity entangling capacity is resource independence for all two-qudit unitaries.

Campbell, Earl T

2010-01-01T23:59:59.000Z

175

Wind industry installs almost 5,300 MW of capacity in December ...  

U.S. Energy Information Administration (EIA)

Approximately 40% of the total 2012 wind capacity additions (12,620 MW) came online in December, just before the scheduled expiration of the wind production tax ...

176

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

DOE Green Energy (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

177

Decentralized capacity management and internal pricing  

E-Print Network (OSTI)

Press. Goex, R. (2002). Capacity planning and pricing undermanufacturing on innovation, capacity and pro?tability.Mieghem, V. J. (2003). Capacity management, investment and

Dutta, Sunil; Reichelstein, Stefan

2010-01-01T23:59:59.000Z

178

Capacity consideration of wireless ad hoc networks  

E-Print Network (OSTI)

Capacity ProblemCurrent Research on Capacity of Wireless Ad HocChapter 3 Upper Bound on the Capacity of Wireless Ad Hoc

Tan, Yusong

2008-01-01T23:59:59.000Z

179

Are there capacity limitations in symmetry perception?  

E-Print Network (OSTI)

1980). The demonstration of capacity limitation. Cognitive1972). Visual processing capacity and attentional control.J. (1996). Goodness of CAPACITY LIMIT OF SYMMETRY PERCEPTION

Huang, L Q; Pashler, Harold; Junge, J A

2004-01-01T23:59:59.000Z

180

The Ergodic Capacity of Interference Networks  

E-Print Network (OSTI)

A. Jafar, “The ergodic capacity of interference networks,”Gupta and P. R. Kumar, “The capacity of wireless networks,”cooperation achieves optimal capacity scaling in ad hoc

Jafar, Syed A

2010-01-01T23:59:59.000Z

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.


181

Mapping Individual Variations in Learning Capacity  

E-Print Network (OSTI)

in working memory capacity. Integrative Physiological andVariations in Learning Capacity Eduardo Mercado IIIdifferences in learning capacity are evident in humans and

Mercado III, Eduardo

2011-01-01T23:59:59.000Z

182

Definition: Capacity Emergency | Open Energy Information  

Open Energy Info (EERE)

Emergency Jump to: navigation, search Dictionary.png Capacity Emergency A capacity emergency exists when a Balancing Authority Area's operating capacity, plus firm purchases from...

183

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

184

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

185

Adaptive capacity and its assessment  

SciTech Connect

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

186

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)

187

Battery Capacity Measurement And Analysis  

E-Print Network (OSTI)

In this paper, we look at different battery capacity models that have been introduced in the literatures. These models describe the battery capacity utilization based on how the battery is discharged by the circuits that consume power. In an attempt to validate these models, we characterize a commercially available lithium coin cell battery through careful measurements of the current and the voltage output of the battery under different load profile applied by a micro sensor node. In the result, we show how the capacity of the battery is affected by the different load profile and provide analysis on whether the conventional battery models are applicable in the real world. One of the most significant finding of our work will show that DC/DC converter plays a significant role in determining the battery capacity, and that the true capacity of the battery may only be found by careful measurements.

Using Lithium Coin; Sung Park; Andreas Savvides; Mani B. Srivastava

2001-01-01T23:59:59.000Z

188

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

189

Measuring wind plant capacity value  

DOE Green Energy (OSTI)

Electric utility planners and wind energy researchers pose a common question: What is the capacity value of a wind plant? Tentative answers, which can be phrased in a variety of ways, are based on widely varying definitions and methods of calculation. From the utility`s point of view, a resource that has no capacity value also has a reduced economic value. Utility planners must be able to quantify the capacity value of a wind plant so that investment in conventional generating capacity can be potentially offset by the capacity value of the wind plant. Utility operations personnel must schedule its conventional resources to ensure adequate generation to meet load. Given a choice between two resources, one that can be counted on and the other that can`t, the utility will avoid the risky resource. This choice will be reflected in the price that the utility will pay for the capacity: higher capacity credits result in higher payments. This issue is therefore also important to the other side of the power purchase transaction -- the wind plant developer. Both the utility and the developer must accurately assess the capacity value of wind. This article summarizes and evaluates some common methods of evaluating capacity credit. During the new era of utility deregulation in the United States, it is clear that many changes will occur in both utility planning and operations. However, it is my judgement that the evaluation of capacity credit for wind plants will continue to play an important part in renewable energy development in the future.

Milligan, M.R.

1996-01-01T23:59:59.000Z

190

Quantum Capacity Approaching Codes for the Detected-Jump Channel  

E-Print Network (OSTI)

The quantum channel capacity gives the ultimate limit for the rate at which quantum data can be reliably transmitted through a noisy quantum channel. Degradable quantum channels are among the few channels whose quantum capacities are known. Given the quantum capacity of a degradable channel, it remains challenging to find a practical coding scheme which approaches capacity. Here we discuss code designs for the detected-jump channel, a degradable channel with practical relevance describing the physics of spontaneous decay of atoms with detected photon emission. We show that this channel can be used to simulate a binary classical channel with both erasures and bit-flips. The capacity of the simulated classical channel gives a lower bound on the quantum capacity of the detected-jump channel. When the jump probability is small, it almost equals the quantum capacity. Hence using a classical capacity approaching code for the simulated classical channel yields a quantum code which approaches the quantum capacity of the detected-jump channel.

Markus Grassl; Zhengfeng Ji; Zhaohui Wei; Bei Zeng

2010-08-19T23:59:59.000Z

191

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

192

COMMUNITY CAPACITY BUILDING THROUGH TECHNOLOGY  

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

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

193

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

194

Solar total energy project Shenandoah  

DOE Green Energy (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

195

High Capacity Immobilized Amine Sorbents  

NLE Websites -- All DOE Office Websites (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

196

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

197

Building Regulatory Capacity for Change  

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

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...

198

Capacity Value of Wind Power  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to overall system adequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America are highlighted with a description of open research questions also given.

Keane, Andrew; Milligan, Michael; Dent, Chris; Hasche, Bernhard; DAnnunzio, Claudine; Dragoon, Ken; Holttinen, Hannele; Samaan, Nader A.; Soder, Lennart; O'Malley, Mark J.

2011-05-04T23:59:59.000Z

199

Quantum Confinement and Negative Heat Capacity  

E-Print Network (OSTI)

Thermodynamics dictates that the specific heat of a system is strictly non-negative. However, in finite classical systems there are well known theoretical and experimental cases where this rule is violated, in particular finite atomic clusters. Here, we show for the first time that negative heat capacity can also occur in finite quantum systems. The physical scenario on which this effect might be experimentally observed is discussed. Observing such an effect might lead to the design of new light harvesting nano devices, in particular a solar nano refrigerator.

Pablo Serra; Marcelo Carignano; Fahhad Alharbi; Sabre Kais

2013-05-09T23:59:59.000Z

200

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

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

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

202

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

203

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

204

A kinematic wave theory of capacity drop  

E-Print Network (OSTI)

Capacity drop at active bottlenecks is one of the most puzzling traffic phenomena, but a thorough understanding is practically important for designing variable speed limit and ramp metering strategies. In this study, we attempt to develop a simple model of capacity drop within the framework of kinematic wave theory based on the observation that capacity drop occurs when an upstream queue forms at an active bottleneck. In addition, we assume that the fundamental diagrams are continuous in steady states. This assumption is consistent with observations and can avoid unrealistic infinite characteristic wave speeds in discontinuous fundamental diagrams. A core component of the new model is an entropy condition defined by a discontinuous boundary flux function. For a lane-drop area, we demonstrate that the model is well-defined, and its Riemann problem can be uniquely solved. We theoretically discuss traffic stability with this model subject to perturbations in density, upstream demand, and downstream supply. We clarify that discontinuous flow-density relations, or so-called "discontinuous" fundamental diagrams, are caused by incomplete observations of traffic states. Theoretical results are consistent with observations in the literature and are verified by numerical simulations and empirical observations. We finally discuss potential applications and future studies.

Wen-Long Jin; Qi-Jian Gan; Jean-Patrick Lebacque

2013-10-09T23:59:59.000Z

205

The WIPP is the nation's first geologic facility designed for permanent disposal of transuranic  

E-Print Network (OSTI)

The WIPP is the nation's first geologic facility designed for permanent disposal of transuranic, New Mexico to dispose of this waste. The TRU waste being disposed at the WIPP is packaged into drums-level waste and spent nuclear fuel. The WIPP has a total capacity of 6.2 million cubic feet of TRU waste

206

Optimal Capacity Adjustments for Supply Chain Control  

E-Print Network (OSTI)

Decisions on capacity are often treated separately from those of production and inventory. In most situations, capacity issues are longer-term, so capacity-related decisions are considered strategic and thus not part of ...

Budiman, Benny

207

Competition under Capacitated Dynamic Lot Sizing with Capacity Acquisition  

E-Print Network (OSTI)

Lot-sizing and capacity planning are important supply chain decisions, and competition and cooperation affect the performance of these decisions. In this paper, we look into the dynamic lot sizing and resource competition problem of an industry consisting of multiple firms. A capacity competition model combining the complexity of time-varying demand with cost functions and economies os scale arising from dynamic lot-sizing costs is developed. Each firm can replenish inventory at the beginning of each period in a finite planning horizon. Fixed as well as variable production costs incur for each production setup, along with inventory carrying costs. The individual production lots of each firm are limited by a constant capacity restriction, which is purchased up front for the planning horizon. The capacity can be purchased from a spot market, and the capacity acquisition cost fluctuates with the total capacity demand of all the competing firms. We solve the competition model and establish the existence of a capacity equilibrium over the firms and the associated optimal dynamic lot-sizing plan for each firm under mild conditions.

Hongyan Li; Joern Meissner

2010-01-01T23:59:59.000Z

208

Building Regulatory Capacity for Change  

NLE Websites -- All DOE Office Websites (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:

209

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.

210

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

211

A New Ventilation System Integrates Total Energy Recovery, Conventional Cooling and a Novel 'Passive' Dehumidification Wheel to Mitigate the Energy, Humidity Control and First Cost Concerns Often Raised when Designing for ASHRAE Standard 62-1999 Compliance  

E-Print Network (OSTI)

This paper introduces a novel, ''passive" desiccant based outdoor air preconditioning system (PDH) that is shown to be significantly more energy-efficient than all known alternatives, and has the unique ability to dehumidify outdoor air streams to very low dewpoints unattainable with conventional cooling approaches. The system allows for precise control of the indoor space humidity while delivering high quantities of outdoor air, at both peak and part load conditions, and during both occupied and unoccupied modes. Low operating cost, reasonable first cost and a significant reduction in cooling plant capacity requirements provide a life cycle cost that is substantially less than that of more conventional system approaches.

Fischer, J. C.

2000-01-01T23:59:59.000Z

212

Worldwide Energy Efficiency Action through Capacity Building...  

Open Energy Info (EERE)

Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and...

213

Working and Net Available Shell Storage Capacity  

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

and tank farms. Excludes storage capacity of refineries, fuel ethanol plants, and pipelines. 2 Percent exclusive use is that portion of capacity in operation that is for the...

214

High Capacity Hydrogen Storage Nanocomposite - Energy ...  

Energy Storage Advanced Materials High Capacity Hydrogen Storage Nanocomposite Processes to add metal hydrideds to nanocarbon structures to yield high capacity ...

215

Property:Cooling Capacity | Open Energy Information  

Open Energy Info (EERE)

Capacity Jump to: navigation, search This is a property of type Number. Pages using the property "Cooling Capacity" Showing 2 pages using this property. D Distributed Generation...

216

Economic Dispatch of Electric Generation Capacity | Department...  

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

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...

217

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...

218

Resource Adequacy Capacity - Power Marketing - Sierra Nevada...  

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

Resource Adequacy Capacity Resource Adequacy Capacity Resource Adequacy Plan - Current Local Resource Adequacy Plan (Word - 175K) - Notice of Proposed Final Resource Adequacy Plan...

219

Washington Natural Gas Underground Storage Acquifers Capacity...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Washington Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

220

Missouri Natural Gas Underground Storage Acquifers Capacity ...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Missouri Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

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

Mississippi Working Natural Gas Underground Storage Capacity...  

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

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

222

Minnesota Natural Gas Underground Storage Acquifers Capacity...  

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

Underground Storage Acquifers Capacity (Million Cubic Feet) Minnesota Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

223

Pennsylvania Working Natural Gas Underground Storage Capacity...  

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

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

224

Washington Working Natural Gas Underground Storage Capacity ...  

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

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

225

EIA Crude Oil Distillation Capacity (Table 36)  

U.S. Energy Information Administration (EIA)

(Important Note on Sources of Crude Oil Distillation Capacity Estimates) Table 3.6 World Crude Oil Distillation Capacity, January 1, 1970 - January 1, 2009

226

Electrical Generating Capacities of Geothermal Slim Holes  

DOE Green Energy (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

227

Improvement of terminal area capacity in the New York airspace  

E-Print Network (OSTI)

The New York airspace is the most congested in the U.S. air transportation network. Increasing capacity in this area is critical to ensure the balanced growth of traffic across the U.S. This study compares the total measured ...

Donaldson, Alexander David

2011-01-01T23:59:59.000Z

228

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

229

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 +

230

Commissioning : The Total Process  

E-Print Network (OSTI)

In recent years, most new buildings have been equipped with increasingly sophisticated heating, ventilating, and air-conditioning (HVAC) systems, energy conservation equipment, lighting systems, security systems, and environmental control devices 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, and increased liability for building owners, operators, employers, and design professionals. Building commissioning was developed in response to these concerns. Commissioning involves the examining and testing of building systems to verify aspects of the building design, ensure that the building is constructed in accordance with the contract documents, and verify that the building and its systems function according to the design intent documents. The process helps to integrate and organize the design, construction, operations, and maintenance of a building's systems to produce a healthy, comfortable, and efficient facility.

Kettler, G. J.

1998-01-01T23:59:59.000Z

231

1992 Annual Capacity Report. Revision 1  

SciTech Connect

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

232

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

233

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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...

234

Entangling and disentangling capacities of nonlocal maps  

E-Print Network (OSTI)

Entangling and disentangling capacities are the key manifestation of the nonlocal content of a quantum operation. A lot of effort has been put recently into investigating (dis)entangling capacities of unitary operations, but very little is known about capacities of non-unitary operations. Here we investigate (dis)entangling capacities of unital CPTP maps acting on two qubits.

Berry Groisman

2007-04-08T23:59:59.000Z

235

Louisiana Refinery Catalytic Reforming Downstream Charge Capacity ...  

U.S. Energy Information Administration (EIA)

Louisiana Refinery Catalytic Reforming Downstream Charge Capacity as of January 1 (Barrels per Stream Day)

236

Oklahoma Refinery Vacuum Distillation Downstream Charge Capacity ...  

U.S. Energy Information Administration (EIA)

Oklahoma Refinery Vacuum Distillation Downstream Charge Capacity as of January 1 (Barrels per Stream Day)

237

Georgia Refinery Marketable Petroleum Coke Production Capacity ...  

U.S. Energy Information Administration (EIA)

Georgia Refinery Marketable Petroleum Coke Production Capacity as of January 1 (Barrels per Stream Day)

238

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

239

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

240

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

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

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

242

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

243

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

244

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

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

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

253

21 briefing pages total  

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

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

254

Evaluating the role of uncertainty in electric utility capacity planning  

SciTech Connect

This final report on Evaluating the Role of Uncertainty in Electric Utility Capacity Planning is divided into separate sections addressing demand, supply and the simultaneous consideration of both and describes several mathematical characterizations of the effects of uncertainty on the capacity expansion decision. The basic objective is to develop more robust models which can appropriately include the fundamental uncertainties associated with capacity expansion planning in the electric utility industry. Much of what has been developed in this project has been incorporated into a long-term, computer model for capacity expansion planning. A review is provided of certain deterministic capacity expansion methodologies. The effect of load curve uncertainty on capacity planning is considered and the use of a certain expected load curve to account for uncertainty in demand is proposed. How uncertainty influences the allocation of capital costs among the various load curve realizations is also discussed. The supply side uncertainties of fuel prices and random availability of generating units are considered. In certain cases it is shown that the use of the expected fuel costs will furnish a solution which minimizes the total expected costs. The effect of derating units to account for their random availability is also characterized. A stochastic linear program formulated to examine the simultaneous consideration of fuel cost and demand uncertainties is analyzed. This volume includes the report text one appendix with information on linear programming-based analysis of marginal cost pricing in the electric utility industry.

Soyster, A.L.

1981-08-31T23:59:59.000Z

255

Solar Total Energy System, Large Scale Experiment, Shenandoah, Georgia. Final technical progress report. Volume II, Section 3. Facility concept design. [1. 72 MW thermal and 383. 6 kW electric power for 42,000 ft/sup 2/ knitwear plant  

DOE Green Energy (OSTI)

The Stearns-Roger Engineering Company conceptual design of ERDA's Large Scale Experiment No. 2 (LSE No. 2) is presented. The various LSEs are part of ERDA's Solar Total Energy Program (STES) and a separate activity of the National Solar Thermal Power Systems Program. The object of this LSE is to design, construct, test, evaluate and operate a STES for the purpose of obtaining experience with large scale hardware systems and to establish engineering capability for subsequent demonstration projects. This particular LSE is to be located at Shenandoah, Georgia, and will provide power to the Bleyle knitwear factory. The Solar Total Energy system is sized to supply 1.720 MW thermal power and 383.6 KW electrical power. The STES is sized for the extended knitwear plant of 3902 M/sup 2/ (42,000 sq-ft) which will eventually employ 300 people. The details of studies conducted for Phase II of the Solar Total Energy System (STES) for the conceptual design requirements of the facility are presented. Included in this section are the detailed descriptions and analyses of the following subtasks: facility concept design, system concept design, performance analysis, operation plan, component and subsystem development, procurement plan, cost estimating and scheduling, and technical and management plans. (WHK)

None,

1977-10-17T23:59:59.000Z

256

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

257

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

258

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

259

Summary Max Total Units  

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

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

260

Building Energy Software Tools Directory : CHP Capacity Optimizer  

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

CHP Capacity Optimizer Back to Tool CHP Capacity Optimizer data entry screen CHP Capacity Optimizer results screen CHP Capacity Optimizer restult map...

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

Vapor--liquid equilibria of nitrogen, methane, ethane, and propane binary mixtures at LNG temperatures from total pressure measurements. [For use in design of equipment for storage and handling of LNG  

SciTech Connect

Vapor-liquid equilibrium data have been measured on four binary mixtures relative to the calculation of phase equilibria at temperatures of liquid natural gas. Measurements at -260/sup 0/F were made by a total pressure method for mixtures of nitrogen-methane, nitrogen-ethane, methane-ethane, and methane-propane. Interaction coefficients were derived for the P-V-T, Inc. Mark V computer program. Good agreement is found with literature data where comparisons can be made.

Wilson, G.M.

1975-01-01T23:59:59.000Z

262

Fail Safe Design for Large Capacity Lithium-ion Batteries  

NATIONAL RENEWABLE ENERGY LABORATORY! Challenges for Large LIB Systems 2 • Li-ion batteries are flammable, require expensive manufacturing to reduce defects

263

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)

264

Improved taguchi method based contracted capacity optimization for power consumer with self-owned generating units  

Science Conference Proceedings (OSTI)

The paper proposes an improved Taguchi method to determine the best capacity contracts and dispatch the power output of the self-owned generating units from almost infinite combinations. To be achieved are savings of total power expenses of the consumers ... Keywords: capacity contracts, improved Taguchi method, self-owned generating units

Hong-Tzer Yang; Pai-Chun Peng; Chung-His Huang

2007-05-01T23:59:59.000Z

265

Tri-Laboratory Linux Capacity Cluster 2007 SOW  

SciTech Connect

The Advanced Simulation and Computing (ASC) Program (formerly know as Accelerated Strategic Computing Initiative, ASCI) has led the world in capability computing for the last ten years. Capability computing is defined as a world-class platform (in the Top10 of the Top500.org list) with scientific simulations running at scale on the platform. Example systems are ASCI Red, Blue-Pacific, Blue-Mountain, White, Q, RedStorm, and Purple. ASC applications have scaled to multiple thousands of CPUs and accomplished a long list of mission milestones on these ASC capability platforms. However, the computing demands of the ASC and Stockpile Stewardship programs also include a vast number of smaller scale runs for day-to-day simulations. Indeed, every 'hero' capability run requires many hundreds to thousands of much smaller runs in preparation and post processing activities. In addition, there are many aspects of the Stockpile Stewardship Program (SSP) that can be directly accomplished with these so-called 'capacity' calculations. The need for capacity is now so great within the program that it is increasingly difficult to allocate the computer resources required by the larger capability runs. To rectify the current 'capacity' computing resource shortfall, the ASC program has allocated a large portion of the overall ASC platforms budget to 'capacity' systems. In addition, within the next five to ten years the Life Extension Programs (LEPs) for major nuclear weapons systems must be accomplished. These LEPs and other SSP programmatic elements will further drive the need for capacity calculations and hence 'capacity' systems as well as future ASC capability calculations on 'capability' systems. To respond to this new workload analysis, the ASC program will be making a large sustained strategic investment in these capacity systems over the next ten years, starting with the United States Government Fiscal Year 2007 (GFY07). However, given the growing need for 'capability' systems as well, the budget demands are extreme and new, more cost effective ways of fielding these systems must be developed. This Tri-Laboratory Linux Capacity Cluster (TLCC) procurement represents the ASC first investment vehicle in these capacity systems. It also represents a new strategy for quickly building, fielding and integrating many Linux clusters of various sizes into classified and unclassified production service through a concept of Scalable Units (SU). The programmatic objective is to dramatically reduce the overall Total Cost of Ownership (TCO) of these 'capacity' systems relative to the best practices in Linux Cluster deployments today. This objective only makes sense in the context of these systems quickly becoming very robust and useful production clusters under the crushing load that will be inflicted on them by the ASC and SSP scientific simulation capacity workload.

Seager, M

2007-03-22T23:59:59.000Z

266

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

267

The Effect of Technological Improvement on Capacity  

E-Print Network (OSTI)

We formulate a model of capacity expansion that is relevant to a service provider for whom the cost of capacity shortages would be considerable but difficult to quantify exactly. Due to demand uncertainty and a lead time for adding capacity, not all shortages are avoidable. In addition, technological innovations will reduce the cost of adding capacity but may not be completely predictable. Analytical expressions for the infinite horizon expansion cost and shortages are optimized numerically. Sensitivity analyses allow us to determine the impact of technological change on the optimal timing and sizes of capacity expansions to account for economies of scale, the time value of money and penalties for insufficient capacity.

Expansion For Uncertain; Dohyun Pak; Nattapol Pornsalnuwat; Sarah M. Ryan

2004-01-01T23:59:59.000Z

268

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

269

U.S. Refining Capacity Utilization  

Reports and Publications (EIA)

This article briefly reviews recent trends in domestic refining capacity utilization and examines in detail the differences in reported crude oil distillation capacities and utilization rates among different classes of refineries.

Tancred Lidderdale

1995-10-01T23:59:59.000Z

270

Capacity Factor Risk At Nuclear Power Plants  

E-Print Network (OSTI)

We develop a model of the dynamic structure of capacity factor risk. It incorporates the risk that the capacity factor may vary widely from year-to-year, and also the risk that the reactor may be permanently shutdown prior ...

Du, Yangbo

271

Definition: Capacity Revenue | Open Energy Information  

Open Energy Info (EERE)

through the competitive capacity market for a capacity credit.1 References SmartGrid.gov 'Description of Benefits' An LikeLike UnlikeLike You like this.Sign Up to see...

272

Empirical Study of Ramp Metering and Capacity  

E-Print Network (OSTI)

Empirical Study of Ramp Metering and Capacity Michael J.EMPIRICAL STUDY OF RAMP METERING AND CAPACITY June 7, 2002Thus, the benefits of metering inflows at this on-ramp seem

Cassidy, Michael J.; Rudjanakanoknad, Jittichai

2002-01-01T23:59:59.000Z

273

On the capacity of bosonic channels  

E-Print Network (OSTI)

The capacity of the bosonic channel with additive Gaussian noise is unknown, but there is a known lower bound that is conjectured to be the capacity. We have quantified the gap that exists between this known achievable ...

Blake, Christopher Graham

2011-01-01T23:59:59.000Z

274

Capacity expansion in contemporary telecommunication networks  

E-Print Network (OSTI)

We study three capacity expansion problems in contemporary long distance telecommunication networks. The first two problems, motivated by a major long distance provider, address capacity expansion in national hybrid long ...

Sivaraman, Raghavendran

2007-01-01T23:59:59.000Z

275

Incorporating Demand Resources into ISO New England’s Forward Capacity Market  

E-Print Network (OSTI)

The Forward Capacity Market was developed by ISO New England, the six New England states, and industry stakeholders to promote investment in demand- and supply-side resources. Under the new FCM design, ISO New England will project the needs of the power system three years in advance and then hold an annual auction to purchase the power resources that will satisfy the future regional requirements. ISO New England submitted a filing with the Federal Energy Regulatory Commission (FERC) in November of 2007 that defined 6,102 megawatts (MW) of new demand- and supply-side resources now eligible to compete in the market. Approximately 40 percent—or 2,483 MW—of the new, qualified projects are demand-side resources such as demand response, energy efficiency, load management, and distributed generation. Energy efficiency projects make up over 590 MW of that total.

Winkler, E.

2008-01-01T23:59:59.000Z

276

On Working Memory: Its organization and capacity limits  

E-Print Network (OSTI)

64 iii 6.2 Working memory capacity10 1.4 Capacity limits of workingcapacity . . . . . . . . . . . . . . . . . . . . . . . . . .

Lara, Antonio Homero

2010-01-01T23:59:59.000Z

277

Loads, capacity, and failure rate modeling  

SciTech Connect

Both failure rate and load capacity (stress-strength) interferenece methodologies are employed in the reliability analysis at nuclear facilities. Both of the above have been utilized in a heuristic failure rate model in terms of load capacity inference. Analytical solutions are used to demonstrate that infant mortality and random aging failures may be expressed implicity in terms of capacity variability, load variability, and capacity deterioration, and that mode interactions play a role in the formation of the bathtub curve for failure rates.

Lewis, E.E.; Chen, Hsin-Chieh

1994-12-31T23:59:59.000Z

278

Peak Underground Working Natural Gas Storage Capacity  

U.S. Energy Information Administration (EIA)

Peak Working Natural Gas Capacity. Data and Analysis from the Energy Information Administration (U.S. Dept. of Energy)

279

Texas Number and Capacity of Petroleum Refineries  

U.S. Energy Information Administration (EIA)

Atmospheric Crude Oil Distillation Capacity : Operable ... Idle refineries represent refineries where distillation units were completely idle but not ...

280

Colorado Number and Capacity of Petroleum Refineries  

U.S. Energy Information Administration (EIA)

Atmospheric Crude Oil Distillation Capacity : Operable ... Idle refineries represent refineries where distillation units were completely idle but not ...

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

Optimization of the Refrigerant Capacity in Multiphase ...  

Science Conference Proceedings (OSTI)

Symposium, Magnetic Materials for Energy Applications. Presentation Title, Optimization of the Refrigerant Capacity in Multiphase Magnetocaloric Materials.

282

Regional Profiles: Pipeline Capacity and Service  

U.S. Energy Information Administration (EIA)

Regional Profiles: Pipeline Capacity ... large petrochemical and electric utility industries drawn there ... accounts for large electricity load ...

283

Robust Capacity Planning in Semiconductor Manufacturing  

E-Print Network (OSTI)

Oct 3, 2001 ... Abstract: We present a stochastic programming approach to capacity planning under demand uncertainty in semiconductor manufacturing.

284

Table 8.11a Electric Net Summer Capacity: Total (All Sectors ...  

U.S. Energy Information Administration (EIA)

P=Preliminary. NA=Not available. (s)=Less than 0.05 million kilowatts. 6 Wood and wood-derived fuels. Notes: - Data are at end of year.

285

What is the total working gas capacity in underground natural gas ...  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

286

Total quality management implementation guidelines  

SciTech Connect

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

287

Capacity of shrinking condensers in the plane  

E-Print Network (OSTI)

We show that the capacity of a class of plane condensers is comparable to the capacity of corresponding "dyadic condensers". As an application, we show that for plane condensers in that class the capacity blows up as the distance between the plates shrinks, but there can be no asymptotic estimate of the blow-up.

Arcozzi, N

2011-01-01T23:59:59.000Z

288

The Compound Capacity of Polar Codes  

E-Print Network (OSTI)

We consider the compound capacity of polar codes under successive cancellation decoding for a collection of binary-input memoryless output-symmetric channels. By deriving a sequence of upper and lower bounds, we show that in general the compound capacity under successive decoding is strictly smaller than the unrestricted compound capacity.

Hassani, S Hamed; Urbanke, Ruediger

2009-01-01T23:59:59.000Z

289

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 ........................................

290

Wind turbine cost of electricity and capacity factor  

Science Conference Proceedings (OSTI)

Wind turbines are currently designed to minimize the cost of electricity at the wind turbine (the busbar cost) in a given wind regime, ignoring constraints on the capacity factor (the ratio of the average power output to the maximum power output). The trade-off between these two quantities can be examined in a straightforward fashion; it is found that the capacity factor can be increased by a factor of 30 percent above its value at the cost minimum for a ten percent increase in the busbar cost of electricity. This has important implications for the large-scale integration of wind electricity on utility grids where the cost of transmission may be a significant fraction of the cost of delivered electricity, or where transmission line capacity may be limited.

Cavallo, A.J. [Cavallo (A.J.), Princeton, NJ (United States)

1997-11-01T23:59:59.000Z

291

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

292

High current capacity electrical connector  

DOE Patents (OSTI)

An electrical connector is provided for coupling high current capacity electrical conductors such as copper busses or the like. The connector is arranged in a "sandwiched" configuration in which a conductor plate contacts the busses along major surfaces thereof clamped between two stainless steel backing plates. The conductor plate is provided with a plurality of contact buttons affixed therein in a spaced array such that the caps of the buttons extend above the conductor plate surface to contact the busses. When clamping bolts provided through openings in the sandwiched arrangement are tightened, Belleville springs provided under the rim of each button cap are compressed and resiliently force the caps into contact with the busses' contacting surfaces to maintain a predetermined electrical contact area provided by the button cap tops. The contact area does not change with changing thermal or mechanical stresses applied to the coupled conductors.

Bettis, Edward S. (Oak Ridge, TN); Watts, Harry L. (Lake City, TN)

1976-01-13T23:59:59.000Z

293

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

294

DOE Transmission Capacity Report | Department of Energy  

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

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

295

Capacity withholding in the Electricity Pool.  

E-Print Network (OSTI)

Electricity generators can raise the price of power by withholding their plant from the market. We discuss two ways in which this could have affected prices in the England and Wales Pool. Withholding low-cost capacity which should be generating will raise energy prices but make the pattern of generation less efficient. This pattern improved significantly after privatisation. Withholding capacity that was not expected to generate would raise the Capacity Payments based on spare capacity. On a multi-year basis, these did not usually exceed “competitive ” levels, the cost of keeping stations open. The evidence for large-scale capacity withholding is weak. Keywords: JEL:

Richard Green; Richard Green

2004-01-01T23:59:59.000Z

296

Case Study 5: Replacement and Capacity Expansion Decisions at an Airplane Engine  

E-Print Network (OSTI)

a designed annual capacity of 1,300,000 compressor blades and 12,000 disks. The 700,000 square foot facility the machining and bu ng handling capacity to 600,000 airfoils per year. As this bottleneck problem remains. With this con guration the spindle/vibratory machinery can be used in a pure spindle mode at no additional cost

Colton, Jonathan S.

297

An analytical model for predicting the remaining battery capacity of lithium-ion batteries  

Science Conference Proceedings (OSTI)

Predicting the residual energy of the battery source that powers a portable electronic device is imperative in designing and applying an effective dynamic power management policy for the device. This paper starts up by showing that a 30% error in predicting ... Keywords: accelerated rate capacity, cycle aging and dynamic voltage scaling, remaining battery capacity, temperature

Peng Rong; Massoud Pedram

2006-05-01T23:59:59.000Z

298

Loading capacity of various filters for lithium fire generated aerosols  

Science Conference Proceedings (OSTI)

The lithium aerosol loading capacity of a prefilter, HEPA filters and a sand and gravel bed filter was determined. The test aerosol was characterized and was generated by burning lithium in an unlimited air atmosphere. Correlation to sodium aerosol loading capacities were made to relate existing data to lithium aerosol loadings under varying conditions. This work is being conducted in support of the fusion reactor safety program. The lithium aerosol was generated by burning lithium pools, up to 45 kgs, in a 340 m/sup 3/ low humidity air atmosphere to supply aerosol to recirculating filter test loops. The aerosol was sampled to determine particle size, mass concentrations and chemical species. The dew point and gas concentrations were monitored throughout the tests. Loop inlet aerosol mass concentrations ranged up to 5 gr/m/sup 3/. Chemical compounds analyzed to be present in the aerosol include Li/sub 2/O, LiOH, and Li/sub 2/CO/sub 3/. HEPA filters with and without separators and a prefilter and HEPA filter in series were loaded with 7.8 to 11.1 kg/m/sup 2/ of aerosol at a flow rate of 1.31 m/sec and 5 kPa pressure drop. The HEPA filter loading capacity was determined to be greater at a lower flow rate. The loading capacity increased from 0.4 to 2.8 kg by decreasing the flow rate from 1.31 to 0.26 m/sec for a pressure drop of 0.11 kPa due to aerosol buildup. The prefilter tested in series with a HEPA did not increase the total loading capacity significantly for the same total pressure drop. Separators in the HEPA had only minor effect on loading capacity. The sand and gravel bed filter loaded to 0.50 kg/m/sup 2/ at an aerosol flow rate of 0.069 m/sec and final pressure drop of 6.2 kPa. These loading capacities and their dependence on test variables are similar to those reported for sodium aerosols except for the lithium aerosol HEPA loading capacity dependence upon flow rate.

Jeppson, D.W.; Barreca, J.R.

1980-10-23T23:59:59.000Z

299

Capacity Value of Concentrating Solar Power Plants  

DOE Green Energy (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

300

Optimal entangling capacity of dynamical processes  

SciTech Connect

We investigate the entangling capacity of dynamical operations when provided with local ancilla. A comparison is made between the entangling capacity with and without the assistance of prior entanglement. An analytic solution is found for the log-negativity entangling capacity of two-qubit gates, which equals the entanglement of the Choi matrix isomorphic to the unitary operator. Surprisingly, the availability of prior entanglement does not affect this result, a property we call resource independence of the entangling capacity. We prove several useful upper bounds on the entangling capacity that hold for general qudit dynamical operations and for a whole family of entanglement monotones including log negativity and log robustness. The log-robustness entangling capacity is shown to be resource independent for general dynamics. We provide numerical results supporting a conjecture that the log-negativity entangling capacity is resource independent for all two-qudit unitary operators.

Campbell, Earl T. [Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT (United Kingdom)

2010-10-15T23:59:59.000Z

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

Optimal Entangling Capacity of Dynamical Processes  

E-Print Network (OSTI)

We investigate the entangling capacity of dynamical operations when provided with local ancilla. A comparison is made between the entangling capacity with and without the assistance of prior entanglement. An analytic solution is found for the log-negativity entangling capacity of two-qubit gates, which equals the entanglement of the Choi matrix isomorphic to the unitary operator. Surprisingly, the availability of prior entanglement does not affect this result; a property we call resource independence of the entangling capacity. We prove several useful upper-bounds on the entangling capacity that hold for general qudit dynamical operations, and for a whole family of entanglement monotones including log-negativity and log-robustness. The log-robustness entangling capacity is shown to be resource independent for general dynamics. We provide numerical results supporting a conjecture that the log-negativity entangling capacity is resource independence for all two-qudit unitaries.

Earl T. Campbell

2010-07-08T23:59:59.000Z

302

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

303

Capacity planning in a transitional economy: What issues? Which models?  

SciTech Connect

This paper is devoted to an exploration of the important issues facing the Russian power generation system and its evolution in the foreseeable future and the kinds of modeling approaches that capture those issues. These issues include, for example, (1) trade-offs between investments in upgrading and refurbishment of existing thermal (fossil-fired) capacity and safety enhancements in existing nuclear capacity versus investment in new capacity, (2) trade-offs between investment in completing unfinished (under construction) projects based on their original design versus investment in new capacity with improved design, (3) incorporation of demand-side management options (investments in enhancing end-use efficiency, for example) within the planning framework, (4) consideration of the spatial dimensions of system planning including investments in upgrading electric transmission networks or fuel shipment networks and incorporating hydroelectric generation, (5) incorporation of environmental constraints and (6) assessment of uncertainty and evaluation of downside risk. Models for exploring these issues include low power shutdown (LPS) which are computationally very efficient, though approximate, and can be used to perform extensive sensitivity analyses to more complex models which can provide more detailed answers but are computationally cumbersome and can only deal with limited issues. The paper discusses which models can usefully treat a wide range of issues within the priorities facing decision makers in the Russian power sector and integrate the results with investment decisions in the wider economy.

Mubayi, V.; Leigh, R.W. [Brookhaven National Lab., Upton, NY (United States); Bright, R.N. [Anylec Research, Inc., Bayport, NY (United States)

1996-03-01T23:59:59.000Z

304

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 ....................

305

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 ....................

306

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.

307

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

308

Total pressing Indonesian gas development, exports  

Science Conference Proceedings (OSTI)

Total is on track to become Indonesia's leading gas exporter by the turn of the century. Total's aggressive development of its Mahakam Delta acreage in East Kalimantan is intended to keep pace with growing liquefied natural gas demand, mainly from Japan but also increasingly from South Korea and Taiwan. A frantic scramble is under way among natural gas suppliers in the Pacific Rim region, particularly those with current LNG export facilities, to accommodate projections of soaring natural gas demand in the region. Accordingly, Total's Indonesian gas production goal is the centerpiece of a larger strategy to become a major player in the Far East Asia gas scene. Its goals also fall in line with Indonesia's. Facing flat or declining oil production while domestic oil demand continues to soar along with a rapidly growing economy, Indonesia is heeding some studies that project the country could become a net oil importer by the turn of the century. The paper describes Total's Far East strategy, the Mahakam acreage which it operates, the shift to gas development, added discoveries, future development, project spending levels, and LNG export capacity.

Not Available

1994-01-24T23:59:59.000Z

309

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

SciTech Connect

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

310

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

311

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

312

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

313

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"

314

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

315

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

316

The quantum capacity with symmetric side channels  

E-Print Network (OSTI)

We present an upper bound for the quantum channel capacity that is both additive and convex. Our bound can be interpreted as the capacity of a channel for high-fidelity quantum communication when assisted by a family of channels that have no capacity on their own. This family of assistance channels, which we call symmetric side channels, consists of all channels mapping symmetrically to their output and environment. The bound seems to be quite tight, and for degradable quantum channels it coincides with the unassisted channel capacity. Using this symmetric side channel capacity, we find new upper bounds on the capacity of the depolarizing channel. We also briefly indicate an analogous notion for distilling entanglement using the same class of (one-way) channels, yielding one of the few entanglement measures that is monotonic under local operations with one-way classical communication (1-LOCC), but not under the more general class of local operations with classical communication (LOCC).

Graeme Smith; John A. Smolin; Andreas Winter

2006-07-05T23:59:59.000Z

317

Channel capacities via $p$-summing norms  

E-Print Network (OSTI)

In this paper we show how \\emph{the metric theory of tensor products} developed by Grothendieck perfectly fits in the study of channel capacities, a central topic in \\emph{Shannon's information theory}. Furthermore, in the last years Shannon's theory has been generalized to the quantum setting to let the \\emph{quantum information theory} step in. In this paper we consider the classical capacity of quantum channels with restricted assisted entanglement. In particular these capacities include the classical capacity and the unlimited entanglement-assisted classical capacity of a quantum channel. To deal with the quantum case we will use the noncommutative version of $p$-summing maps. More precisely, we prove that the (product state) classical capacity of a quantum channel with restricted assisted entanglement can be expressed as the derivative of a completely $p$-summing norm.

Marius Junge; Carlos palazuelos

2013-05-05T23:59:59.000Z

318

Investigations in Pyranometer Design  

Science Conference Proceedings (OSTI)

Three approaches to the design of total (global) solar pyranometers that employ new technologies and materials of manufacture are described. The pyranometers are designed to meet or exceed the requirements for high quality instruments as ...

D. J. Beaubien; A. Bisberg; A. F. Beaubien

1998-06-01T23:59:59.000Z

319

Table 8. Capacity and Fresh Feed Input to Selected Downstream ...  

U.S. Energy Information Administration (EIA)

Capacity Inputs CapacityInputs Capacity Inputs Table 8. ... (EIA) Form EIA-820, "Annual Refinery Report." Inputs are from the form EIA-810, "Monthly Refinery Report."

320

Building Energy Software Tools Directory: CHP Capacity Optimizer  

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

Related Links CHP Capacity Optimizer CHP Capacity Optimizer logo Selecting the proper installed capacity for cooling, heating, and power (CHP) equipment is critical to the...

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

On the capacity of isolated, curbside bus stops  

E-Print Network (OSTI)

New Jersey. Kohler, U. , 1991. Capacity of transit lanes.Symposium on Highway Capacity, Karlsruhe, Germany. St.Paulo. TRB, 1985. Highway Capacity Manual. Transportation

Gu, Weihua; Li, Yuwei; Cassidy, Michael J.; Griswold, Julia B.

2010-01-01T23:59:59.000Z

322

Property:Installed Capacity (MW) | Open Energy Information  

Open Energy Info (EERE)

Capacity (MW) Jump to: navigation, search Property Name Installed Capacity (MW) Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:InstalledCapac...

323

Stochastic binary problems with simple penalties for capacity ...  

E-Print Network (OSTI)

capacity constraints, using simple penalties for capacities violations. In particular, we take a closer look at the knapsack problem with weights and capacity ...

324

Zero-rate feedback can achieve the empirical capacity  

E-Print Network (OSTI)

Achieving the empirical capacity using feedback: MemorylessGaussian feedback capacity,” IEEE Trans. Inf. Theory, vol.14] Y. -H. Kim, “Feedback capacity of stationary Gaussian

Eswaran, Krishnan; Sarwate, A D; Sahai, Anant; Gastpar, M

2010-01-01T23:59:59.000Z

325

Attention capacity and task difficulty in visual search  

E-Print Network (OSTI)

1980). The demonstration of capacity limitation. Cognitiveof automatic detection: Capacity and scanning in visualD. L. (1984). Central capacity limits in consistent mapping

Huang, L Q; Pashler, Harold

2005-01-01T23:59:59.000Z

326

Robust Dynamic Traffic Assignment under Demand and Capacity Uncertainty  

E-Print Network (OSTI)

Assignment under Demand and Capacity Uncertainty ? Giuseppeworst-case sce- nario of demand and capacity con?gurations.uncertain demands and capacities are modeled as unknown-but-

Calafiore, Giuseppe; El Ghaoui, Laurent

2008-01-01T23:59:59.000Z

327

End-to-end asymmetric link capacity estimation  

E-Print Network (OSTI)

A Simple and Accurate Capacity Estimation Technique. InGerla. Accuracy of Link Capacity Es- timates using Passiveto-end asymmetric link capacity estimation Ling-Jyh Chen,

Chen, Ling-Jyh; Sun, Tony; Yang, Guang; Sanadidi, Medy Y; Gerla, Mario

2005-01-01T23:59:59.000Z

328

EEI/DOE Transmission Capacity Report  

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

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 . . . . . . .

329

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

330

North Dakota Refining Capacity Study  

Science Conference Proceedings (OSTI)

According to a 2008 report issued by the United States Geological Survey, North Dakota and Montana have an estimated 3.0 to 4.3 billion barrels of undiscovered, technically recoverable oil in an area known as the Bakken Formation. With the size and remoteness of the discovery, the question became 'can a business case be made for increasing refining capacity in North Dakota?' And, if so what is the impact to existing players in the region. To answer the question, a study committee comprised of leaders in the region's petroleum industry were brought together to define the scope of the study, hire a consulting firm and oversee the study. The study committee met frequently to provide input on the findings and modify the course of the study, as needed. The study concluded that the Petroleum Area Defense District II (PADD II) has an oversupply of gasoline. With that in mind, a niche market, naphtha, was identified. Naphtha is used as a diluent used for pipelining the bitumen (heavy crude) from Canada to crude markets. The study predicted there will continue to be an increase in the demand for naphtha through 2030. The study estimated the optimal configuration for the refinery at 34,000 barrels per day (BPD) producing 15,000 BPD of naphtha and a 52 percent refinery charge for jet and diesel yield. The financial modeling assumed the sponsor of a refinery would invest its own capital to pay for construction costs. With this assumption, the internal rate of return is 9.2 percent which is not sufficient to attract traditional investment given the risk factor of the project. With that in mind, those interested in pursuing this niche market will need to identify incentives to improve the rate of return.

Dennis Hill; Kurt Swenson; Carl Tuura; Jim Simon; Robert Vermette; Gilberto Marcha; Steve Kelly; David Wells; Ed Palmer; Kuo Yu; Tram Nguyen; Juliam Migliavacca

2011-01-05T23:59:59.000Z

331

Quantum Capacities of Channels with small Environment  

E-Print Network (OSTI)

We investigate the quantum capacity of noisy quantum channels which can be represented by coupling a system to an effectively small environment. A capacity formula is derived for all cases where both system and environment are two-dimensional--including all extremal qubit channels. Similarly, for channels acting on higher dimensional systems we show that the capacity can be determined if the channel arises from a sufficiently small coupling to a qubit environment. Extensions to instances of channels with larger environment are provided and it is shown that bounds on the capacity with unconstrained environment can be obtained from decompositions into channels with small environment.

Michael M. Wolf; David Perez-Garcia

2006-07-11T23:59:59.000Z

332

Share of Conversion Capacity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

In the early to mid 1980’s, Atlantic Basin refiners rapidly expanded their conversion capacity as a consequence of the belief that world crude production would get ...

333

Natural gas, renewables dominate electric capacity additions ...  

U.S. Energy Information Administration (EIA)

These appear in a separate EIA survey collecting data on net metering and distributed generation. More capacity was added in the first half of 2012 than was retired.

334

Working and Net Available Shell Storage Capacity  

U.S. Energy Information Administration (EIA)

Containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell ...

335

When does noise increase the quantum capacity?  

E-Print Network (OSTI)

Superactivation is the property that two channels with zero quantum capacity can be used together to yield positive capacity. Here we demonstrate that this effect exists for a wide class of inequivalent channels, none of which can simulate each other. We also consider the case where one of two zero capacity channels are applied, but the sender is ignorant of which one is applied. We find examples where the greater the entropy of mixing of the channels, the greater the lower bound for the capacity. Finally, we show that the effect of superactivation is rather generic by providing example of superactivation using the depolarizing channel.

Fernando G. S. L. Brandão; Jonathan Oppenheim; Sergii Strelchuk

2011-07-21T23:59:59.000Z

336

,"Texas Underground Natural Gas Storage Capacity"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Underground Natural Gas Storage Capacity",11,"Annual",2011,"6301988" ,"Release...

337

An FPTAS for Capacity Constrained Assortment Optimization  

E-Print Network (OSTI)

May 13, 2013 ... In this paper, we consider the capacity constrained version of the assortment optimization problem where each item $i$ has weight $w_i$, and ...

338

,"Nebraska Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Underground Natural Gas...

339

,"Kentucky Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Underground Natural Gas...

340

,"Wyoming Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Underground Natural Gas...

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

,"Minnesota Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Underground Natural Gas...

342

,"Maryland Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Underground Natural Gas...

343

,"Indiana Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Underground Natural Gas...

344

,"West Virginia Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Underground Natural...

345

,"Michigan Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Underground Natural Gas...

346

,"California Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Underground Natural...

347

,"Natural Gas Depleted Fields Storage Capacity "  

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

Depleted Fields Storage Capacity " ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Natural...

348

,"Mississippi Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Underground Natural...

349

,"Arkansas Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Underground Natural Gas...

350

,"Alabama Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Underground Natural Gas...

351

,"Oregon Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Underground Natural Gas...

352

,"New York Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Underground Natural Gas...

353

,"Missouri Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Underground Natural Gas...

354

,"Oklahoma Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Underground Natural Gas...

355

,"Washington Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Underground Natural...

356

Refinery Capacity Report - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration (U.S. Dept. of Energy) ... Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of ...

357

,"Kansas Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Underground Natural Gas...

358

Quantum Communication With Zero-Capacity Channels  

E-Print Network (OSTI)

Communication over a noisy quantum channel introduces errors in the transmission that must be corrected. A fundamental bound on quantum error correction is the quantum capacity, which quantifies the amount of quantum data that can be protected. We show theoretically that two quantum channels, each with a transmission capacity of zero, can have a nonzero capacity when used together. This unveils a rich structure in the theory of quantum communications, implying that the quantum capacity does not uniquely specify a channel's ability for transmitting quantum information.

Graeme Smith; Jon Yard

2008-07-30T23:59:59.000Z

359

,"Natural Gas Salt Caverns Storage Capacity "  

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

Salt Caverns Storage Capacity " ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Natural Gas...

360

,"New Mexico Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Underground Natural...

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

Optimization of Storage vs. Compression Capacity  

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

Storage Volume vs. Compression Capacity Amgad Elgowainy Argonne National Laboratory Presentation at CSD Workshop Argonne National Laboratory March 21, 2013 0 5 10 15 20 25 0 100...

362

,"Montana Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Underground Natural Gas...

363

,"Virginia Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Underground Natural Gas...

364

,"Colorado Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Underground Natural Gas...

365

,"Utah Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Underground Natural Gas...

366

Increasing water holding capacity for irrigation  

NLE Websites -- All DOE Office Websites (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...

367

,"Tennessee Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Underground Natural Gas...

368

,"Louisiana Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Underground Natural Gas...

369

,"Ohio Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Underground Natural Gas...

370

,"Pennsylvania Underground Natural Gas Storage Capacity"  

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

Capacity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Underground Natural...

371

PAD District 4 Refinery Utilization and Capacity  

U.S. Energy Information Administration (EIA)

Gross Input to Atmospheric Crude Oil Distillation Units: 575: 577: 562: 542: 578: 587: 1985-2013: Operable Capacity (Calendar Day) 625: 625: 630: 630: 630: 630: 1985 ...

372

,"Illinois Natural Gas Underground Storage Capacity (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","52013" ,"Release...

373

Solar Energy and Capacity Value (Fact Sheet)  

SciTech Connect

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

374

Capacity of Byzantine Consensus with Capacity-Limited Point-to-Point Links  

E-Print Network (OSTI)

We consider the problem of maximizing the throughput of Byzantine consensus, when communication links have finite capacity. Byzantine consensus is a classical problem in distributed computing. In existing literature, the communication links are implicitly assumed to have infinite capacity. The problem changes significantly when the capacity of links is finite. We define the throughput and capacity of consensus, and identify upper bound of achievable consensus throughput. We propose an algorithm that achieves consensus capacity in complete four-node networks with at most 1 failure with arbitrary distribution of link capacities.

Liang, Guanfeng

2011-01-01T23:59:59.000Z

375

Ramp Metering and the Capacity of Active Freeway Bottlenecks  

E-Print Network (OSTI)

The objective of this study is to determine whether ramp meters increase the capacity of active freeway bottlenecks, and if they do, how. The traffic flow characteristics at twenty-seven active bottlenecks in the Twin Cities have been studied for seven weeks without ramp metering and seven weeks with ramp metering. A series of hypotheses regarding the relationships between ramp metering and the capacity of active bottlenecks are developed and tested against empirical traffic data. It is found that meters increase the bottleneck capacity by postponing and sometimes eliminating bottleneck activations (a 73 % increase in the duration of the pre-queue transition period), accommodating higher (2%) flows during the pre-queue transition period, and increasing queue discharge flow rates after breakdown (3%). The two-capacity hypothesis about flow drops after breakdown was also examined and results strongly suggest the percentage flow drops at various bottlenecks follow a normal distribution (mean 5.5%, standard deviation 2.3%). The implications of these findings on the design of efficient ramp control strategies are discussed, as well as future research directions.

Lei Zhang; David Levinson

2003-01-01T23:59:59.000Z

376

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

377

Dynamic Capacity Investment with Two Competing Technologies  

Science Conference Proceedings (OSTI)

With the recent focus on sustainability, firms making adjustments to their production or distribution capacity levels often have the option of investing in newer technologies with lower carbon footprints and/or energy consumption. These more sustainable ... Keywords: dynamic capacity investment, sustainable operations, technology choice

Wenbin Wang, Mark E. Ferguson, Shanshan Hu, Gilvan C. Souza

2013-10-01T23:59:59.000Z

378

Challenging Times for Making Refinery Capacity Decisions  

Reports and Publications (EIA)

This presentation was given at the National Petrochemical and Refiners Association's annual meeting in March 2004. The presentation covers a wide range of refining issues from near term to long term, and focuses on refining capacity and factors affecting decisions to alter that capacity.

Information Center

2004-03-01T23:59:59.000Z

379

Constrained capacity of MIMO Rayleigh fading channels  

E-Print Network (OSTI)

In this thesis channel capacity of a special type of multiple-input multiple-output (MIMO) Rayleigh fading channels is studied, where the transmitters are subject to a finite phase-shift keying (PSK) input alphabet. The constraint on the input alphabet makes an analytical solution for the capacity beyond reach. However we are able to simplify the final expression, which requires a single expectation and thus can be evaluated easily through simulation. To facilitate simulations, analytical expressions are derived for the eigenvalues and eigenvectors of a covariance matrix involved in the simplified capacity expression. The simplified expression is used to provide some good approximations to the capacity at low signal-to-noise ratios (SNRs). Involved in derivation of the capacity is the capacity-achieving input distribution. It is proved that a uniform prior distribution is capacity achieving. We also show that it is the only capacity-achieving distribution for our channel model. On top of that we generalize the uniqueness case for an input distribution to a broader range of channels.

He, Wenyan

2011-05-01T23:59:59.000Z

380

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

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

Capacity Bounded Grammars and Petri Nets  

E-Print Network (OSTI)

A capacity bounded grammar is a grammar whose derivations are restricted by assigning a bound to the number of every nonterminal symbol in the sentential forms. In the paper the generative power and closure properties of capacity bounded grammars and their Petri net controlled counterparts are investigated.

Stiebe, Ralf; 10.4204/EPTCS.3.18

2009-01-01T23:59:59.000Z

382

Table 6. Operable Crude Oil and Downstream Charge Capacity of ...  

U.S. Energy Information Administration (EIA)

Downstream Charge Capacity Table 6. ... (EIA), Form EIA-820, "Annual Refinery Report." Energy Information Administration, Refinery Capacity 2011 46. Title:

383

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

384

,"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)"

385

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

386

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

387

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

388

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

389

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

390

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..............................................................

391

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.....................................................

392

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.......................................................

393

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

394

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.................................

395

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...........................

396

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)

397

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

398

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.................................................................

399

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)...........................

400

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.........................................................

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

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

402

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.................................

403

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.......................................................

404

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.................................

405

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..........................

406

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.................................

407

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..........................

408

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..........................................................

409

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

410

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.......................................................................

411

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.....................................................................

412

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...................................................................

413

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.........................................................

414

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.....................................................................

415

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.................................

416

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....................................................

417

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.......................................................

418

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.................................

419

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.................................

420

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.................................................................

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

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

422

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.........................................................

423

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.................................

424

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.............................................................

425

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.......................................................

426

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......................................................................

427

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..........................................

428

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.........................................................

429

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

430

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.........................................................

431

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

432

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

433

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...................................................................

434

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......................................................................

435

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

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

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

436

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

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

437

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

438

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

439

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

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

440

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

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

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

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

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

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

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

442

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

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

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

443

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

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

444

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

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

445

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

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

446

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

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

447

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

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

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

448

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

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

449

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

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

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

450

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

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

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

451

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...

452

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...

453

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

Annual Energy Outlook 2012 (EIA)

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......

454

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

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

455

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

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

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

456

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

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

457

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

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

458

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

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

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

459

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

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

460

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

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

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

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

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

462

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

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

463

Quantum-capacity-approaching codes for the detected-jump channel  

SciTech Connect

The quantum-channel capacity gives the ultimate limit for the rate at which quantum data can be reliably transmitted through a noisy quantum channel. Degradable quantum channels are among the few channels whose quantum capacities are known. Given the quantum capacity of a degradable channel, it remains challenging to find a practical coding scheme which approaches capacity. Here we discuss code designs for the detected-jump channel, a degradable channel with practical relevance describing the physics of spontaneous decay of atoms with detected photon emission. We show that this channel can be used to simulate a binary classical channel with both erasures and bit flips. The capacity of the simulated classical channel gives a lower bound on the quantum capacity of the detected-jump channel. When the jump probability is small, it almost equals the quantum capacity. Hence using a classical capacity-approaching code for the simulated classical channel yields a quantum code which approaches the quantum capacity of the detected-jump channel.

Grassl, Markus; Wei Zhaohui [Centre for Quantum Technologies, National University of Singapore, Singapore 117543 (Singapore); Ji Zhengfeng [Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5 (Canada); State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190 (China); Zeng Bei [Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario N1G 2W1 (Canada); Institute for Quantum Computing and Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada)

2010-12-15T23:59:59.000Z

464

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)"

465

$?$-scaling and heat capacity in relativistic ion collisions  

E-Print Network (OSTI)

The $\\Delta$-scaling method has been applied to the total multiplicity distribution of the relativistic ion collisions of p+p, C+C and Pb+Pb which were simulated by a Monte Carlo package, LUCIAE 3.0. It is found that the $\\Delta$-scaling parameter decreases with the increasing of the system size. Moreover, the heat capacities of different mesons and baryons have been extracted from the event-by-event temperature fluctuation in the region of low transverse mass and they show the dropping trend with the increasing of impact parameter.

Y. G. Ma; G. L. Ma; X. Z. Cai; J. G. Chen; J. H. Chen; D. Q. Fang; W. Guo; Z. J. He; H. Z. Huang; J. L. Long; C. W. Ma; B. H. Sa; W. Q. Shen; Q. M. Su; K. Wang; Y. B. Wei; T. Z. Yan; C. Zhong; J. X. Zuo

2004-11-28T23:59:59.000Z

466

Biological Kraft Chemical Recycle for Augmentation of Recovery Furnace Capacity  

DOE Green Energy (OSTI)

The chemicals used in pulping of wood by the kraft process are recycled in the mill in the recovery furnace, which oxidizes organics while simultaneously reducing sulfate to sulfide. The recovery furnace is central to the economical operation of kraft pulp mills, but it also causes problems. The total pulp production of many mills is limited by the recovery furnace capacity, which cannot easily be increased. The furnace is one of the largest sources of air pollution (as reduced sulfur compounds) in the kraft pulp mill.

Stuart E. Strand

2001-12-06T23:59:59.000Z

467

Photovoltaics effective capacity: Interim final report 2  

DOE Green Energy (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

468

Evaluation of critical materials in five additional advance design photovoltaic cells  

DOE Green Energy (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

469

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

470

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+

471

Information Capacity of Energy Harvesting Sensor Nodes  

E-Print Network (OSTI)

Sensor nodes with energy harvesting sources are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supporting 'green communication'. We study such a sensor node with an energy harvesting source and compare various architectures by which the harvested energy is used. We find its Shannon capacity when it is transmitting its observations over an AWGN channel and show that the capacity achieving energy management policy is the same as the throughput optimal policy. We also obtain the capacity for the system with energy inefficiencies in storage and an achievable rate when energy conserving sleep-wake modes are supported.

Rajesh, R

2010-01-01T23:59:59.000Z

472

On channels with finite Holevo capacity  

E-Print Network (OSTI)

We consider a nontrivial class of infinite dimensional quantum channels characterized by finiteness of the Holevo capacity. Some general properties of channels of this class are described. In particular, a special sufficient condition of existence of an optimal measure is obtained and examples of channels with no optimal measure are constructed. It is shown that each channel with finite Holevo capacity has a natural extension to the set of all positive normalized functionals on the algebra of all bounded operators. General properties of such an extension are described. The class of infinite dimensional channels, for which the Holevo capacity can be explicitly determined, is considered.

M. E. Shirokov

2006-02-07T23:59:59.000Z

473

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

474

Electric utility capacity expansion and energy production models for energy policy analysis  

DOE Green Energy (OSTI)

This report describes electric utility capacity expansion and energy production models developed for energy policy analysis. The models use the same principles (life cycle cost minimization, least operating cost dispatching, and incorporation of outages and reserve margin) as comprehensive utility capacity planning tools, but are faster and simpler. The models were not designed for detailed utility capacity planning, but they can be used to accurately project trends on a regional level. Because they use the same principles as comprehensive utility capacity expansion planning tools, the models are more realistic than utility modules used in present policy analysis tools. They can be used to help forecast the effects energy policy options will have on future utility power generation capacity expansion trends and to help formulate a sound national energy strategy. The models make renewable energy source competition realistic by giving proper value to intermittent renewable and energy storage technologies, and by competing renewables against each other as well as against conventional technologies.

Aronson, E.; Edenburn, M.

1997-08-01T23:59:59.000Z

475

China Total Cloud Amount Trends  

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

Trends in Total Cloud Amount Over China DOI: 10.3334CDIACcli.008 data Data image Graphics Investigator Dale P. Kaiser Carbon Dioxide Information Analysis Center, Environmental...

476

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

477

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

478

U.S. Refinery Utilization and Capacity  

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

2007 2008 2009 2010 2011 2012 View History Gross Input to Atmospheric Crude Oil Distillation Units 15,450 15,027 14,659 15,177 15,289 15,362 1985-2012 Operable Capacity (Calendar...

479

Definition: Capacity factor | Open Energy Information  

Open Energy Info (EERE)

power)12 View on Wikipedia Wikipedia Definition The net capacity factor of a power plant is the ratio of its actual output over a period of time, to its potential output if...

480

,"California Natural Gas Underground Storage Capacity (MMcf)...  

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

,,"(202) 586-8800",,,"10312013 6:21:10 PM" "Back to Contents","Data 1: California Natural Gas Underground Storage Capacity (MMcf)" "Sourcekey","N5290CA2"...

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.


481

Peak Underground Working Natural Gas Storage Capacity  

Gasoline and Diesel Fuel Update (EIA)

Note: 1) 'Demonstrated Peak Working Gas Capacity' is the sum of the highest storage inventory level of working gas observed in each facility over the prior 5-year period as...

482

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

483

Optimal capacity adjustment for supply chain control  

E-Print Network (OSTI)

This research attempts to answer the questions involving the time and size of capacity adjustments for better supply chain management. The objective of this research is to analytically determine simple structures to adjust ...

Budiman, Benny S., 1969-

2004-01-01T23:59:59.000Z

484

Feedback Capacity of the Compound Channel  

E-Print Network (OSTI)

In this work, we find the capacity of a compound finite-state channel (FSC) with time-invariant deterministic feedback. We consider the use of fixed length block codes over the compound channel. Our achievability result ...

Shrader, Brooke E.

485

Capacity-Speed Relationships in Prefrontal Cortex  

E-Print Network (OSTI)

Working memory (WM) capacity and WM processing speed are simple cognitive measures that underlie human performance in complex processes such as reasoning and language comprehension. These cognitive measures have shown to ...

Prabhakaran, Vivek

486

Minimal capacity points and the Lowest eigenfunctions  

E-Print Network (OSTI)

We introduce the concept of the point of minimal capacity of the domain, and observe a connection between this point and the lowest eigenfunction of a Laplacian on this domain, in one special case.

Mark Levi; Jia Pan

2011-04-04T23:59:59.000Z

487

Lattice Heat Capacity of Mesoscopic Nanostructures  

E-Print Network (OSTI)

We present a rigorous full quantum mechanical model for the lattice heat capacity of mesoscopic nanostructures in various dimensions. Model can be applied to arbitrary nanostructures with known vibrational spectrum in zero, one, two, or three dimensions. The limiting case of infinitely sized multi-dimensional materials are also found, which are in agreement with well-known results. As examples, we obtain the heat capacity of fullerenes.

Gharekhanlou, B; Vafai, A

2010-01-01T23:59:59.000Z

488

Measuring the capacity impacts of demand response  

Science Conference Proceedings (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

489

Technical Assessment Guide -- Generation Capacity Addition Topics  

Science Conference Proceedings (OSTI)

This report discusses the challenges facing the power industry with regard to capacity addition. These challenges include technological and regulatory risks, life cycle management, and material and labor escalation forecast. The report also examines the market trends for CT and CTCC, as this technology has become a reliable technology for capacity addition, and provides the cost data for various switchyard configurations. These topics have been addressed in past TAG reports and the content in this ...

2013-03-06T23:59:59.000Z

490

Heat capacity in weakly correlated liquids  

Science Conference Proceedings (OSTI)

Previously unavailable numerical data related to the heat capacity in two- and three-dimensional liquid Yukawa systems are obtained by means of fluctuation theory. The relations between thermal conductivity and diffusion constants are numerically studied and discussed. New approximation for heat capacity dependence on non-ideality parameter for weakly correlated systems of particles is proposed. Comparison of the obtained results to the existing theoretical and numerical data is discussed.

Khrustalyov, Yu. V.; Vaulina, O. S. [Joint Institute for High Temperatures RAS, 125412, Izhorskaya St., 13 bld.2, Moscow (Russian Federation); Moscow Institute of Physics and Technology, 117303, Kerchenskaya St., 1A bld.1, Moscow (Russian Federation); Koss, X. G. [Joint Institute for High Temperatures RAS, 125412, Izhorskaya St., 13 bld.2, Moscow (Russian Federation)

2012-12-15T23:59:59.000Z

491

EPRI Increased Transmission Capacity Workshop Proceedings  

Science Conference Proceedings (OSTI)

This report documents the proceedings of EPRI's Increased Overhead Transmission Capacity Workshop. The workshop was held on September 20, 2011 at the offices of the American Transmission Company in Waukesha, Wisconsin. Participants included members of the EPRI Increased Overhead Transmission Capacity Task Force. The workshop was a joint effort of two EPRI research projects: (1) Increased Power Flow Guidebook and Ratings for Overhead Lines, and (2) Impact of High Temperature Operation on Conductor Systems...

2011-11-30T23:59:59.000Z

492

Capacity Value of Wind Power - Summary  

Science Conference Proceedings (OSTI)

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the planning and operation of power systems. A key metric for generation system adequacy is the capacity value of generation. The capacity value of a generator is the contribution that a given generator makes to generation system aequacy. The variable and stochastic nature of wind sets it apart from conventional energy sources. As a result, the modeling of wind generation in the same manner as conventional generation for capacity value calculations is inappropriate. In this paper a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given. Approximate methods for the calculation are also described with their limitations highlighted. The outcome of recent wind capacity value analyses in Europe and North America, along with some new analysis, are highlighted with a discussion of relevant issues also given.

O'Malley, M.; Milligan, M.; Holttinen, H.; Dent, C.; Keane, A.

2010-01-01T23:59:59.000Z

493

INVESTIGATION OF THE HEAT CAPACITIES OF PROTEINS BY STATISTICAL MECHANICAL METHODS  

E-Print Network (OSTI)

In this study, the additional heat capacity which appear during the water dissociation of the proteins that are one of the soft materials, have been considered by the statistical mechanical methods. For this purpose, taking the electric field E and total dipole moment M as the thermodynamical variables and starting with the first law of thermodynamics an equation which reveals the thermodynamical relation between the additional heat capacity in effective electric field ?CE and the additional heat capacity at the constant total dipole moment ?CM, has been obtained. It is found that, the difference between the heat capacities depends linearly on the temperature. To bring up the hydration effect during the folding and unfolding of the proteins the physical properties of the apolar dissociation have been used. In the model used for this purpose; the folding and unfolding of the proteins in the formed electric field medium have been established on this basis. In this study with the purpose of revealing the additional effect to the heat capacity, the partition functions for the proteins which have been calculated in single protein molecule approach by A. Bakk, J.S. Hoye and A. Hansen; Physica A, 304, (2002), 355-361 have been taken in order to obtain the free energy. In this way, the additional free energy has been related to the heat capacities. By calculating the heat capacity in the effective electric field ?CE theoretically and taking the heat capacity at constant total dipole moment ?CM from the experimental data, the outcomes of the performed calculations have been investigated for Myoglobin and other proteins.

G. Oylumluoglu; Fevzi Büyükk?l?ç; Dogan Demirhan

2004-01-01T23:59:59.000Z

494

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

495

Revel8or: Model Driven Capacity Planning Tool Suite  

SciTech Connect

Designing complex multi-tier applications that must meet strict performance requirements is a challenging software engineering problem. Ideally, the application architect could derive accurate performance predictions early in the project life-cycle, leveraging initial application design-level models and a description of the target software and hardware platforms. To this end, we have developed a capacity planning tool suite for component-based applications, called Revel8tor. The tool adheres to the model driven development paradigm and supports benchmarking and performance prediction for J2EE, .Net and Web services platforms. The suite is composed of three different tools: MDAPerf, MDABench and DSLBench. MDAPerf allows annotation of design diagrams and derives performance analysis models. MDABench allows a customized benchmark application to be modeled in the UML 2.0 Testing Profile and automatically generates a deployable application, with measurement automatically conducted. DSLBench allows the same benchmark modeling and generation to be conducted using a simple performance engineering Domain Specific Language (DSL) in Microsoft Visual Studio. DSLBench integrates with Visual Studio and reuses its load testing infrastructure. Together, the tool suite can assist capacity planning across platforms in an automated fashion.

Zhu, Liming; Liu, Yan; Bui, Ngoc B.; Gorton, Ian

2007-05-31T23:59:59.000Z

496

Heat capacity and compactness of denatured proteins  

E-Print Network (OSTI)

One of the striking results of protein thermodynamics is that the heat capacity change upon denaturation is large and positive. This change is generally ascribed to the exposure of non-polar groups to water on denaturation, in analogy to the large heat capacity change for the transfer of small non-polar molecules from hydrocarbons to water. Calculations of the heat capacity based on the exposed surface area of the completely unfolded denatured state give good agreement with experimental data. This result is difficult to reconcile with evidence that the heat denatured state in the absence of denaturants is reasonably compact. In this work, sample conformations for the denatured state of truncated CI2 are obtained by use of an effective energy function for proteins in solution. The energy function gives denatured conformations that are compact with radii of gyration that are slightly larger than that of the native state. The model is used to estimate the heat capacity, as well as that of the native state, at 300 and 350 K via finite enthalpy differences. The calculations show that the heat capacity of denaturation can have large positive contributions from non-covalent intraprotein interactions because these interactions change more with temperature in non-native conformations than in the native state. Including this contribution, which has been neglected in empirical surface area models, leads to heat capacities of unfolding for compact denatured states that are consistent with the experimental heat capacity data. Estimates of the stability curve of CI2 made with the effective energy function support the present model. # 1999 Elsevier Science B.V. All rights reserved.

Themis Lazaridis; Martin Karplus

1999-01-01T23:59:59.000Z

497

Cross-layer interaction between spatial and multi-user diversity in selective feedback systems: outage capacity analysis  

Science Conference Proceedings (OSTI)

In this paper, we explore spatial vs. multi-user diversity tradeoffs in terms of outage capacity for a non-homogeneous cellular system with selective feedback. More precisely, we analytically derive an upper bound of the outage capacity of both a SISO ... Keywords: cross-layer designs, multi-antenna schemes, multi-user diversity, selective scheduling, spatial diversity, wireless systems

José López Vicario; Carles Antón-Haro

2006-07-01T23:59:59.000Z

498

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

499

U.S. Fuel Ethanol Plant Production Capacity  

U.S. Energy Information Administration (EIA)

U.S. Nameplate Fuel Ethanol Plant Production Capacity as of January 1, 2013 PAD District: Number of Plants: 2013 Nameplate Capacity: 2012 Nameplate Capacity

500

On the capacity of network coding for random networks  

E-Print Network (OSTI)

d ) , the network NC coding capacity C s;t ; ;t > (1 0 )8, AUGUST 2005 On the Capacity of Network Coding for Randomthat the network coding capacity concentrates around the

Ramamoorthy, A; Shi, J; Wesel, R D

2005-01-01T23:59:59.000Z