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


1

,"Colorado Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Consumption by End Use",6,"Monthly","112014","1151989" ,"Release...

2

,"New Mexico Natural Gas Consumption by End Use"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Consumption by End Use",6,"Monthly","12015","1151989" ,"Release...

3

,"New York Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Consumption by End Use",6,"Monthly","102014","1151989" ,"Release...

4

End use energy consumption data base: transportation sector  

SciTech Connect (OSTI)

The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

Hooker, J.N.; Rose, A.B.; Greene, D.L.

1980-02-01T23:59:59.000Z

5

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network [OSTI]

4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use

Konopacki, S.J.

2010-01-01T23:59:59.000Z

6

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.134 End Uses of Fuel

7

Table 5.5 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.134 End Uses of Fuel5 End

8

Table 5.6 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.134 End Uses of Fuel5 End6

9

Table 5.7 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.134 End Uses of Fuel5

10

Table 5.8 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.134 End Uses of Fuel58 End

11

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates  

SciTech Connect (OSTI)

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01T23:59:59.000Z

12

Estimates of energy consumption by building type and end use at U.S. Army installations  

SciTech Connect (OSTI)

This report discusses the use of LBNL`s End-use Disaggregation Alogrithm (EDA) to 12 US Army installations nationwide in order to obtain annual estimates of electricity use for all major building types and end uses. The building types include barrack, dining hall, gymnasium, administration, vehicle maintenance, hospital, residential, warehouse, and misc. Up to 8 electric end uses for each type were considered: space cooling, ventilation (air handling units, fans, chilled and hot water pumps), cooking, misc./plugs, refrigeration, exterior and interior lighting, and process loads. Through building simulations, we also obtained estimates of natural gas space heating energy use. Average electricity use for these 12 installations and Fort Hood are: HVAC, misc., and indoor lighting end uses consumed the most electricity (28, 27, and 26% of total[3.8, 3.5, and 3.3 kWh/ft{sup 2}]). Refrigeration, street lighting, exterior lighting, and cooking consumed 7, 7, 3, and 2% of total (0.9, 0.9, 0.4, and 0.3 kWh/ft{sup 2})

Konopacki, S.J.; Akbari, H.

1996-08-01T23:59:59.000Z

13

,"U.S. Natural Gas Consumption by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars perReserves (BillionCanadaNorwayQatarYemenAnnual

14

Residential Behavioral Savings: An Analysis of Principal Electricity End Uses in British Columbia  

E-Print Network [OSTI]

of residential end use electricity consumption for Britishresidential electricity consumption by end use Apply theresidential end use electricity consumption using a

Tiedemann, Kenneth Mr.

2013-01-01T23:59:59.000Z

15

The CO2 Content of Consumption Across US Regions: A Multi-Regional  

E-Print Network [OSTI]

, when attributed on a consumption basis, California's per capita emissions are over 25 percent higherThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

16

Colorado Natural Gas Consumption by End Use  

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

504,783 523,726 501,350 466,680 443,750 468,221 1997-2013 Lease and Plant Fuel 1967-1998 Lease Fuel 44,231 64,873 66,083 78,800 76,462 71,105 1983-2013 Plant Fuel 18,613 21,288...

17

Wisconsin Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008 2009 2010from2009 2010 2011

18

Wyoming Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion2008Sep-14 Oct-14 Nov-14 Dec-14Year Jan

19

Ohio Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0YearSales (Billion

20

Oklahoma Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade (MillionThousandFeet)44Year Jan

Note: This page contains sample records for the topic "regional end-use consumption" 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

Oregon Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecadeFeet)Decade

22

Pennsylvania Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996)Decade Year-0Sales (Billion CubicDecade Year-03,660

23

Alabama Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) Base Gas)1,727 1,342Increases4 16

24

Alaska Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet) BaseSep-14Extensions

25

Arizona Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan FebForeignDecade Year-0

26

Arkansas Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion CubicCubic Feet)Year Jan(MillionSales (BillionYear Jan

27

Tennessee Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2 10,037.24. U.S.Year Jan FebYear Jan

28

Texas Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic4,630.2perSep-14 Oct-14 Nov-14 Dec-14Year

29

Iowa Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0 0Year Jan Feb3,151,8872009Year JanNA

30

Kansas Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0Extensions (Billion2009 20106 5

31

Kentucky Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0MonthIncreases (Billion Cubic200941,712

32

Louisiana Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342 3289 0 0 0 0Feet)2009Year

33

Maine Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-14 Oct-14 Nov-14

34

Maryland Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0Sep-14Year Jan

35

Massachusetts Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343Decade81 170 115 89Sep-1423,448 28,360

36

Michigan Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 04 19 15 15 15 3 1979-2013 Adjustments -1 04,261

37

Minnesota Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 04 19 15 15 15continues, with theMay65 70320,847

38

Mississippi Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 04 19 15Year Jan Feb Mar Apr May Jun Jul Aug

39

Missouri Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 04 19 15Year JanThousand Cubic0 0 012,199 16,950

40

Montana Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 04 19343 369 384 388 413NewSep-14 Oct-14Year

Note: This page contains sample records for the topic "regional end-use consumption" 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

Colorado Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 46 47ExtensionsYear Jan Feb Mar Apr

42

Connecticut Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42 180Number ofFuel2009Year

43

Delaware Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar1320097,930

44

Florida Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0 0 0 1979-2013 Adjustments 0 1 -1 0109,108

45

Georgia Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0 058.5 57.1 54.8 49.4Year Jan Feb Mar

46

Hawaii Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0 058.588,219 719,4351998 19992009Year

47

Idaho Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1ThousandSep-14Year

48

Illinois Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade (MillionSep-14 Oct-1444,805 63,652

49

Indiana Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14 15 0 0 0 0 1996-2005. 61,707Year Jan

50

California Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002;5,,"I",86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0000,7,00000,"WAT","HY"5YearIncreases1 -5 2 7

51

Utah Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand28 198Separation 321 601 631New2009 201011,172

52

Vermont Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand28 198Separation 321Working40 2352009470 609 994

53

Virginia Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand28Decreases (Billion Cubic Feet) Virginia58 81Year

54

Washington Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand28Decreases349,980 267,227Thousand-657 532 0

55

Nebraska Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) Year Jan Feb Marthrough Monthly2. Average8 2009 2010Decade9,141

56

Nevada Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) Year Jan Feb MarthroughYear Jan Feb MarDry NaturalYear Jan

57

End Use and Fuel Certification  

Broader source: Energy.gov [DOE]

Breakout Session 2: Frontiers and Horizons Session 2–B: End Use and Fuel Certification John Eichberger, Vice President of Government Relations, National Association for Convenience Stores

58

End-Use Load and Consumer Assessment Program: Analysis of residential refrigerator/freezer performance  

SciTech Connect (OSTI)

The Bonneville Power Administration (Bonneville) is conducting a large end-use data acquisition program in an effort to understand how energy is utilized in buildings with permanent electric space heating equipment in the Pacific Northwest. The initial portion of effort, known as the End-Use Load and Consumer Assessment Program (ELCAP), was conducted for Bonneville by the Pacific Northwest Laboratory (PNL). The collection of detailed end-use data provided an opportunity to analyze the amount of energy consumed by both refrigerators and separate freezers units located in residential buildings. By obtaining this information, the uncertainty of long- term regional end-use forecasting can be improved and potential utility marketing programs for new appliances with a reduced overall energy demand can be identified. It was found that standby loads derived from hourly averages between 4 a.m. and 5 a.m. reflected the minimum consumption needed to maintain interior refrigerator temperatures at a steady-state condition. Next, an average 24-hour consumption that included cooling loads from door openings and cooling food items was also determined. Later, analyses were conducted to develop a model capable of predicting refrigerator standby loads and 24-hour consumption for comparison with national refrigerator label ratings. Data for 140 residential sites with a refrigeration end-use were screened to develop a sample of 119 residences with pure refrigeration for use in this analysis. To identify those refrigerators that were considered to be pure (having no other devices present on the circuit) in terms of their end-use classification, the screening procedure used a statistical clustering technique that was based on standby loads with 24-hour consumption. 5 refs., 18 figs., 4 tabs.

Ross, B.A.

1991-09-01T23:59:59.000Z

59

The CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach  

E-Print Network [OSTI]

We improve on existing estimates of the carbon dioxide (CO2) content of consumption across regions of the United States. Using a multi-regional input-output (MRIO) framework, we estimate the direct and indirect CO2 emissions ...

Caron, J.

60

Ris Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end-use  

E-Print Network [OSTI]

of the wholesale power markets has intro- duced market-based pricing for the marginal electricity supply. PricesRisø Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end and consumption is a market issue, in the sense that the market balance is set some time before the physical

Note: This page contains sample records for the topic "regional end-use consumption" 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

New Mexico Natural Gas Consumption by End Use  

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

41,194 241,137 246,418 243,961 245,678 1997-2013 Lease and Plant Fuel 1967-1998 Lease Fuel 49,655 49,070 47,556 47,696 47,018 1983-2013 Plant Fuel 36,827 35,289 38,331 37,195...

62

West Virginia Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions (Billion CubicCubic39,287Sales

63

New Hampshire Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYear Jan Feb Mar AprDecade,474

64

New Jersey Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear Jan FebYearDecadeYear Jan Feb Mar Apr

65

New Mexico Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYear JanDecadeExtensions41 1,039Decade9,290

66

New York Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) in KansasYearDecadeYear JanDecreases264 21 327Year

67

North Carolina Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18 2.415 - - -Cubic8Decade1,839

68

North Dakota Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecade Year-0 Year-18Feet) New123DecadeNA 3,540

69

South Carolina Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,741 476,85520 40 6015,008 16,112

70

South Dakota Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,7416.18 5.69per4,175 4,992 7,530

71

U.S. Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinter 2013-14 WellsDecadeCubic Feet)Gulf of Mexico

72

U.S. Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,Coal Stocks atYear Jan Feb Mar

73

Rhode Island Natural Gas Consumption by End Use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998Hampshire"RhodeWest Virginia" "Emission Type",.7Decade,735

74

District of Columbia Natural Gas Consumption by End Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623and Commercial ConsumersYear

75

Energy Information Administration - Table 2. End Uses of Fuel Consumption,  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003of Energy for allExpenditures1998 and

76

Table 5.1 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.13 Offsite-ProducedPer5.1

77

Table 5.2 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.13 Offsite-ProducedPer5.12

78

Table 5.3 End Uses of Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import Costs for Selected CountriesU.S.13

79

Residential Lighting End-Use Consumption | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research |Regulation Services System:Affairs,How toDOE partnersAdvance

80

End-use taxes: Current EIA practices  

SciTech Connect (OSTI)

There are inconsistencies in the EIA published end-use price data with respect to Federal, state, and local government sales and excise taxes; some publications include end-use taxes and others do not. The reason for including these taxes in end-use energy prices is to provide consistent and accurate information on the total cost of energy purchased by the final consumer. Preliminary estimates are made of the effect on prices (bias) reported in SEPER (State Energy Price and Expenditure Report) resulting from the inconsistent treatment of taxes. EIA has undertaken several actions to enhance the reporting of end-use energy prices.

Not Available

1994-08-17T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Synthesis of Seafood Catch, Distribution, and Consumption Patterns in the Gulf of Mexico Region  

SciTech Connect (OSTI)

The purpose of this task was to gather and assemble information that will provide a synthesis of seafood catch, distribution and consumption patterns for the Gulf of Mexico (GOM) region. This task was part of a U.S. Department of Energy (DOE)-sponsored project entitled ''Environmental and Economic Assessment of Discharges from Gulf of Mexico Region Oil and Gas Operations.'' Personal interviews were conducted with a total of 905 recreational fishermen and 218 commercial fishermen (inclusive of shrimpers, crabbers, oystermen and finfishermen) in Louisiana and Texas using survey questionnaires developed for the study. Results of these interviews detail the species and quantities caught, location of catch, mode of fishing, distribution of catch, family consumption patterns and demographics of the fishermen.

Steimle and Associates, Inc.

1999-08-16T23:59:59.000Z

82

Biomass Resource Allocation among Competing End Uses  

SciTech Connect (OSTI)

The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

2012-05-01T23:59:59.000Z

83

Commercial equipment loads: End-Use Load and Consumer Assessment Program (ELCAP)  

SciTech Connect (OSTI)

The Office of Energy Resources of the Bonneville Power Administration is generally responsible for the agency's power and conservation resource planning. As associated responsibility which supports a variety of office functions is the analysis of historical trends in and determinants of energy consumption. The Office of Energy Resources' End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side planning, load forecasting, and demand-side program development and delivery. Part of this on-going program is known as the End-Use Load and Consumer Assessment Program (ELCAP), an effort designed to collect electricity usage data through direct monitoring of end-use loads in buildings. This program is conducted for Bonneville by the Pacific Northwest Laboratory. This report provides detailed information on electricity consumption of miscellaneous equipment from the commercial portion of ELCAP. Miscellaneous equipment includes all commercial end-uses except heating, ventilating, air conditioning, and central lighting systems. Some examples of end-uses covered in this report are office equipment, computers, task lighting, refrigeration, and food preparation. Electricity consumption estimates, in kilowatt-hours per square food per year, are provided for each end-use by building type. The following types of buildings are covered: office, retail, restaurant, grocery, warehouse, school, university, and hotel/motel. 6 refs., 35 figs., 12 tabs.

Pratt, R.G.; Williamson, M.A.; Richman, E.E.; Miller, N.E.

1990-07-01T23:59:59.000Z

84

Healthcare Energy End-Use Monitoring  

SciTech Connect (OSTI)

NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers, and engineers in the healthcare sector will be able to use these results to more effectively prioritize and refine the scope of investments in new metering and energy audits.

Sheppy, M.; Pless, S.; Kung, F.

2014-08-01T23:59:59.000Z

85

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End43.

86

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3

87

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End

88

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End7

89

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End78

90

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38

91

" Row: End Uses;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel388 End

92

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

Efficiency in Electricity Consumption", HWWA Discussionconsumption. Even electricity consumption, which isData Adjustment Electricity consumption from farmers is un-

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

93

End-Use Load and Consumer Assessment Program: Characterizing residential thermal performance from high resolution end-use data  

SciTech Connect (OSTI)

This document is part of a two-volume set describing a series of thermal analyses of the residential buildings monitored under the End-Use Load and Consumer Assessment Program. Volume 1 describes in detail the thermal analysis methodology employed. Volume 2 presents the results of applying the methodology in a series of four distinct analyses: (1) an analysis of the first monitored heating season, 1985--1986; (2) an analysis of the second monitored heating season, (3) a comparison of first- and second-year analyses showing changes in residential consumption with changes in weather and evaluating the ability of the analytical technique to discriminate those changes; and (4) a continuation of the previous analyses evaluating the effects of foundation type and heating system type on the results.

Miller, N.E.; Williamson, M.A.; Bailey, S.A.; Pratt, R.G.; Stokes, G.M.; Sandusky, W.F.; Pearson, E.W.; Roberts, J.S.

1991-06-01T23:59:59.000Z

94

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network [OSTI]

affect appliance energy consumption. For example, differentStates, 2005 Residential Energy Consumption Survey: HousingModeling of End-Use Energy Consumption in the Residential

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

95

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

end-use Residential primary energy consumption was 6.6 EJ inof primary energy. Primary energy consumption includes final14 Residential Primary Energy Consumption by Fuel (with

Zhou, Nan

2010-01-01T23:59:59.000Z

96

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

18 Figure 6 Primary Energy Consumption by End-Use in24 Figure 7 Primary Energy Consumption by Fuel in Commercialbased on total primary energy consumption (source energy),

Fridley, David G.

2008-01-01T23:59:59.000Z

97

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

liters Figure 7 Primary Energy Consumption (EJ) Refrigeratorby Efficiency Class Primary Energy Consumption (EJ) Figure 8by Fuel Figure 1 Primary Energy Consumption by End-use)

Zhou, Nan

2010-01-01T23:59:59.000Z

98

Analysis of PG E's residential end-use metered data to improve electricity demand forecasts  

SciTech Connect (OSTI)

It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

Eto, J.H.; Moezzi, M.M.

1992-06-01T23:59:59.000Z

99

Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach  

SciTech Connect (OSTI)

This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.

Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

2015-01-01T23:59:59.000Z

100

How El Nino affects energy consumption: a study at national and regional levels  

E-Print Network [OSTI]

for home heating purposes. Hydroelectricity may also be affected by ENSO in the southeastern US but the results at this time are inconclusive. At the national level, ENSO influences the consumption of nuclear electricity....

Collins, Kathleen Jo

2009-06-02T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

10. Final and Primary Energy Consumption in the Industry35 Figure 16. Primary Energy Consumption byby end users while primary energy consumption includes final

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

102

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

or fewer than 20 buildings were sampled. NNo responding cases in sample. Notes: Statistics for the "Energy End Uses" category represent total consumption in buildings that...

103

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

104

India Energy Outlook: End Use Demand in India to 2020  

SciTech Connect (OSTI)

Integrated economic models have been used to project both baseline and mitigation greenhouse gas emissions scenarios at the country and the global level. Results of these scenarios are typically presented at the sectoral level such as industry, transport, and buildings without further disaggregation. Recently, a keen interest has emerged on constructing bottom up scenarios where technical energy saving potentials can be displayed in detail (IEA, 2006b; IPCC, 2007; McKinsey, 2007). Analysts interested in particular technologies and policies, require detailed information to understand specific mitigation options in relation to business-as-usual trends. However, the limit of information available for developing countries often poses a problem. In this report, we have focus on analyzing energy use in India in greater detail. Results shown for the residential and transport sectors are taken from a previous report (de la Rue du Can, 2008). A complete picture of energy use with disaggregated levels is drawn to understand how energy is used in India and to offer the possibility to put in perspective the different sources of end use energy consumption. For each sector, drivers of energy and technology are indentified. Trends are then analyzed and used to project future growth. Results of this report provide valuable inputs to the elaboration of realistic energy efficiency scenarios.

de la Rue du Can, Stephane; McNeil, Michael; Sathaye, Jayant

2009-03-30T23:59:59.000Z

105

GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0  

SciTech Connect (OSTI)

1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: • Water heater • Lights • Dishwasher • Range • Microwave • Refrigerator • Internal gains (plug loads) • House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

2008-07-31T23:59:59.000Z

106

Regional overview of Latin American and Caribbean energy production, consumption, and future growth. Report series No. 1  

SciTech Connect (OSTI)

The Latin American and Caribbean region - comprising Mexico, Central and South America, and the Caribbean - is relatively well endowed with energy resources, although the distribution of these resources is uneven across countries. The region produces more energy than it consumes, and the surplus energy, which amounts to 3.6 million barrels of oil equivalent per day (boe/d), is mostly oil. While the region`s total oil (crude and products) exports decreased from 4.4 million barrels per day (b/d) in 1981 to 3.8 million b/d in 1992, its net oil exports increased from about 1.6 million b/d in 1981 to 2.8 million b/d in 1992. In 1993, the surplus oil in Latin America and the Caribbean remained at 2.8 million b/d. This report analyzes the key issues of the Latin American and Caribbean energy industry and presents the future outlook for oil, gas, coal, hydroelectricity, and nuclear power developments in the region. In addition, the status of biomass energy, geothermal, and other noncommercial energy in the region will be briefly discussed in the context of overall energy development. The rest of the report is organized as follows: Section II assesses the current situation of Latin American and Caribbean energy production and consumption, covering primary energy supply, primary energy consumption, downstream petroleum sector development, and natural gas utilization. Section III presents the results of our study of future energy growth in Latin America. Important hydrocarbons policy issues in the region are discussed in Section IV, and a summary and concluding remarks are provided in Section V.

Wu, K.

1994-07-01T23:59:59.000Z

107

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

Not Available

1994-12-01T23:59:59.000Z

108

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

an estimated total energy consumption of 19 GWh (0.07PJ),to 28% in 2005. Total energy consumption in 2020 in thecan have similar total energy consumption but produce very

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

109

Monitoring of Electrical End-Use Loads in Commercial Buildings  

E-Print Network [OSTI]

Southern California Edison is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing...

Martinez, M.; Alereza, T.; Mort, D.

1988-01-01T23:59:59.000Z

110

Canadian Industrial Energy End-use Data and Analysis  

E-Print Network [OSTI]

CIEEDAC Canadian Industrial Energy End-use Data and Analysis Centre Prospectus and Business Plan as part clearinghouse, part depository, and part analysis centre for energy data on the Canadian EXECUTIVE SUMMARY CIEEDAC ii Executive Summary 1. Background The Canadian Industrial Energy End-use Data

111

Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1  

SciTech Connect (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

1994-05-01T23:59:59.000Z

112

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts  

SciTech Connect (OSTI)

It is generally acknowledged that improvements to end-use load shape and peak demand forecasts for electricity are limited primarily by the absence of reliable end-use data. In this report we analyze recent end-use metered data collected by the Pacific Gas and Electric Company from more than 700 residential customers to develop new inputs for the load shape and peak demand electricity forecasting models used by the Pacific Gas and Electric Company and the California Energy Commission. Hourly load shapes are normalized to facilitate separate accounting (by the models) of annual energy use and the distribution of that energy use over the hours of the day. Cooling electricity consumption by central air-conditioning is represented analytically as a function of climate. Limited analysis of annual energy use, including unit energy consumption (UEC), and of the allocation of energy use to seasons and system peak days, is also presented.

Eto, J.H.; Moezzi, M.M.

1992-06-01T23:59:59.000Z

113

Energy End-Use Intensities in Commercial Buildings1992 -- Overview/End-Use  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand1995

114

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network [OSTI]

Irwin Fort Sill Yuma Pg Fort Bliss Fort Sam Houston FortEstimated H V A C EUIs at Fort Bliss Table 5-12. Annual DOE-Estimated Electricity Use at Fort Bliss [GWh/yr] Table 5-24.

Konopacki, S.J.

2010-01-01T23:59:59.000Z

115

Distribution Category UC-98 Consumption End-Use A Comparison of Measures  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesDataTranslocation oftheAmperometricEnergyDISTRIBUTED

116

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor U.S.6:6.

117

Table C4. Total End-Use Energy Consumption Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.C4.

118

Manufacturing Consumption of Energy 1994 - Derived measures of end-use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2 Macro-Industrial WorkingYear Jan Feb(MECS)

119

,"U.S. Natural Gas Consumption by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative2.

120

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

122

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network [OSTI]

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping...

Waterland, A. F.

1983-01-01T23:59:59.000Z

123

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect (OSTI)

Graphical presentations of energy flows are widely used within the industrial sector to depict energy production and use. PNNL developed two energy flow maps, one each for the residential and commercial buildings sectors, in response to a need for a clear, concise, graphical depiction of the flows of energy from source to end-use in the building sector.

Belzer, David B.

2006-12-04T23:59:59.000Z

124

Energy Information Administration - Commercial Energy Consumption...  

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

sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

125

REFINING AND END USE STUDY OF COAL LIQUIDS  

SciTech Connect (OSTI)

This document summarizes all of the work conducted as part of the Refining and End Use Study of Coal Liquids. There were several distinct objectives set, as the study developed over time: (1) Demonstration of a Refinery Accepting Coal Liquids; (2) Emissions Screening of Indirect Diesel; (3) Biomass Gasification F-T Modeling; and (4) Updated Gas to Liquids (GTL) Baseline Design/Economic Study.

Unknown

2002-01-01T23:59:59.000Z

126

1999 Commercial Buildings Characteristics--End-Use Equipment  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment Topics: Energy

127

1999 Commercial Buildings Characteristics--Energy Sources and End Uses  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment Topics:

128

Realizing Building End-Use Efficiency with Ermerging Technologies |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L dDepartment ofList?Department of Energy Realizing Building End-Use

129

" Row: End Uses within NAICS Codes;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel

130

" Row: End Uses within NAICS Codes;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End

131

" Row: End Uses within NAICS Codes;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End4

132

Energy End-Use Intensities in Commercial Buildings 1995 - Index Page  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand1995 End-Use

133

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

2007-01-01T23:59:59.000Z

134

End-use energy characterization and conservation potentials at DoD Facilities: An analysis of electricity use at Fort Hood, Texas  

SciTech Connect (OSTI)

This report discusses the application of the LBL`s End-use Disaggregation Algorithm (EDA) to a DoD installation and presents hourly reconciled end-use data for all major building types and end uses. The project initially focused on achieving these objectives and pilot-testing the methodology at Fort Hood, Texas. Fort Hood, with over 5000 buildings was determined to have representative samples of nearly all of the major building types in use on DoD installations. These building types at Fort Hood include: office, administration, vehicle maintenance, shop, hospital, grocery store, retail store, car wash, church, restaurant, single-family detached housing, two and four-plex housings, and apartment building. Up to 11 end uses were developed for each prototype, consisting of 9 electric and 2 gas; however, only electric end uses were reconciled against known data and weather conditions. The electric end uses are space cooling, ventilation, cooking, miscellaneous/plugs, refrigeration, exterior lighting, interior lighting, process loads, and street lighting. The gas end uses are space heating and hot water heating. Space heating energy-use intensities were simulated only. The EDA was applied to 10 separate feeders from the three substations at Fort Hood. The results from the analyses of these ten feeders were extrapolated to estimate energy use by end use for the entire installation. The results show that administration, residential, and the bar-rack buildings are the largest consumers of electricity for a total of 250GWh per year (74% of annual consumption). By end use, cooling, ventilation, miscellaneous, and indoor lighting consume almost 84% of total electricity use. The contribution to the peak power demand is highest by residential sector (35%, 24 MW), followed by administration buildings (30%), and barrack (14%). For the entire Fort Hood installation, cooling is 54% of the peak demand (38 MW), followed by interior lighting at 18%, and miscellaneous end uses by 12%.

Akbari, H.; Konopacki, S.

1995-05-01T23:59:59.000Z

135

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

136

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

137

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nation’s renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

2012-01-01T23:59:59.000Z

138

Rare Earth Elements--End Use and Recyclability Scientific Investigations Report 20115094  

E-Print Network [OSTI]

Rare Earth Elements--End Use and Recyclability Scientific Investigations Report 2011­5094 U outside of China. Photograph by Dan Cordier, U.S. Geological Survey. #12;Rare Earth Elements--End Use materials contained within this report. Suggested citation: Goonan, T.G., 2011, Rare earth elements--End use

139

Measured electric hot water standby and demand loads from Pacific Northwest homes. End-Use Load and Consumer Assessment Program  

SciTech Connect (OSTI)

The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

Pratt, R.G.; Ross, B.A.

1991-11-01T23:59:59.000Z

140

The Value of End-Use Energy Efficiency in Mitigation of U.S. Carbon Emissions  

SciTech Connect (OSTI)

This report documents a scenario analysis exploring the value of advanced technologies in the U.S. buildings, industrial, and transportation sectors in stabilizing atmospheric greenhouse gas concentrations. The analysis was conducted by staff members of Pacific Northwest National Laboratory (PNNL), working at the Joint Global Change Research Institute (JGCRI) in support of the strategic planning process of the U.S. Department of Energy (U.S. DOE) Office of Energy Efficiency and Renewable Energy (EERE). The conceptual framework for the analysis is an integration of detailed buildings, industrial, and transportation modules into MiniCAM, a global integrated assessment model. The analysis is based on three technology scenarios, which differ in their assumed rates of deployment of new or presently available energy-saving technologies in the end-use sectors. These technology scenarios are explored with no carbon policy, and under two CO2 stabilization policies, in which an economic price on carbon is applied such that emissions follow prescribed trajectories leading to long-term stabilization of CO2 at roughly 450 and 550 parts per million by volume (ppmv). The costs of meeting the emissions targets prescribed by these policies are examined, and compared between technology scenarios. Relative to the reference technology scenario, advanced technologies in all three sectors reduce costs by 50% and 85% for the 450 and 550 ppmv policies, respectively. The 450 ppmv policy is more stringent and imposes higher costs than the 550 ppmv policy; as a result, the magnitude of the economic value of energy efficiency is four times greater for the 450 ppmv policy than the 550 ppmv policy. While they substantially reduce the costs of meeting emissions requirements, advanced end-use technologies do not lead to greenhouse gas stabilization without a carbon policy. This is due mostly to the effects of increasing service demands over time, the high consumption of fossil fuels in the electricity sector, and the use of unconventional feedstocks in the liquid fuel refining sector. Of the three end-use sectors, advanced transportation technologies have the greatest potential to reduce costs of meeting carbon policy requirements. Services in the buildings and industrial sectors can often be supplied by technologies that consume low-emissions fuels such as biomass or, in policy cases, electricity. Passenger transportation, in contrast, is especially unresponsive to climate policies, as the fuel costs are small compared to the time value of transportation and vehicle capital and operating costs. Delaying the transition from reference to advanced technologies by 15 years increases the costs of meeting 450 ppmv stabilization emissions requirements by 21%, but the costs are still 39% lower than the costs assuming reference technology. The report provides a detailed description of the end-use technology scenarios and provides a thorough analysis of the results. Assumptions are documented in the Appendix.

Kyle, G. Page; Smith, Steven J.; Clarke, Leon E.; Kim, Son H.; Wise, Marshall A.

2007-11-27T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Data on energy end-use patterns and energy efficiencies in major CO sub 2 emitting countries  

SciTech Connect (OSTI)

This is a report of the basic data regarding energy end-uses and efficiencies in major CO{sub 2} emitting countries. The task is part of the multi-lab carbon dioxide energy system research program. Fossil energy production and use are the largest anthropogenic source of CO{sub 2} emissions. To gain an insight into the relationship between CO{sub 2} emission and energy use, the global energy consumption patterns and the changing energy efficiencies must be better analyzed and understood. This work attempts to collect and organize the data on energy use and energy efficiency for the ten major CO{sub 2} emitting countries: USA, USSR, the People's Republic of China, Japan, the Federal Republic of Germany, the United Kingdom, France, Canada, Italy, and Australia. A wide variety of information sources have been examined. The data base is presented in tabular format. It is documented by three main parts, the first shows the total final energy consumption by fuel type and end-use sector for each nation. The second shows the detailed energy use by fuel type and function for each end-use sector: residential, commercial, transportation and industrial. The third part shows the country-specific energy balances for electricity generation and use. The data base is a living document and will be updated as additional information becomes available. The data base is to be used to accomplish the ultimate objective of improving the reliability of future CO{sub 2}-emissions estimates. 7 refs., 12 tabs.

Cheng, Hsing C.

1990-08-01T23:59:59.000Z

142

Energy End-Use Intensities in Commercial Buildings 1989 -- Executive  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesale

143

Energy End-Use Intensities in Commercial Buildings 1992  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand

144

A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets  

E-Print Network [OSTI]

A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy consumption plays an important role in the total energy consumption of end use. Energy efficiency in building

Paris-Sud XI, Université de

145

Estimates of US biomass energy consumption 1992  

SciTech Connect (OSTI)

This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

Not Available

1994-05-06T23:59:59.000Z

146

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

147

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7 End

148

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7 End

149

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7 End5

150

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7

151

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network [OSTI]

4.50 Foreign LBL 7896 ENERGY CONSERVATION: POLICY ISSUES ANDBarriers to Industrial Energy Conservation 2) The Process ofs·------------- 6. END-USE ENERGY CONSERVATION DATA BASE AND

Authors, Various

2011-01-01T23:59:59.000Z

152

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

NONE

1995-10-05T23:59:59.000Z

153

A functional analysis of electrical load curve modelling for some households specific electricity end-uses  

E-Print Network [OSTI]

domestic end-uses, the development of plug-in hybrid and electric vehicles, the increase of heat pumps heating systems such as heat pumps in new building or which will replace old installed fossil fuels based systems; · integration of new end-uses such as Plug-in Electric Vehicles and an always growing number

Paris-Sud XI, Université de

154

Energy Information Administration - Commercial Energy Consumption...  

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

A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

155

Energy Information Administration - Commercial Energy Consumption...  

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

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

156

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect (OSTI)

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1993-12-01T23:59:59.000Z

157

Estimation of food consumption  

SciTech Connect (OSTI)

The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.

Callaway, J.M. Jr.

1992-04-01T23:59:59.000Z

158

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

SciTech Connect (OSTI)

This study assesses for California how increasing end-use electrical energy efficiency from installing residential insulation impacts exposures and disease burden from power-plant pollutant emissions. Installation of fiberglass attic insulation in the nearly 3 million electricity-heated homes throughout California is used as a case study. The pollutants nitrous oxides (NO{sub x}), sulfur dioxide (SO{sub 2}), fine particulate matter (PM2.5), benzo(a)pyrene, benzene, and naphthalene are selected for the assessment. Exposure is characterized separately for rural and urban environments using the CalTOX model, which is a key input to the US Environmental Protection Agency (EPA) Tool for the Reduction and Assessment of Chemicals and other environmental Impacts (TRACI). The output of CalTOX provides for urban and rural populations emissions-to-intake factors, which are expressed as an individual intake fraction (iFi). The typical iFi from power plant emissions are on the order of 10{sup -13} (g intake per g emitted) in urban and rural regions. The cumulative (rural and urban) product of emissions, population, and iFi is combined with toxic effects factors to determine human damage factors (HDFs). HDF are expressed as disability adjusted life years (DALYs) per kilogram pollutant emitted. The HDF approach is applied to the insulation case study. Upgrading existing residential insulation to US Department of Energy (DOE) recommended levels eliminates over the assmned 50-year lifetime of the insulation an estimated 1000 DALYs from power-plant emissions per million tonne (Mt) of insulation installed, mostly from the elimination of PM2.5 emissions. In comparison, the estimated burden from the manufacture of this insulation in DALYs per Mt is roughly four orders of magnitude lower than that avoided.

McKone, Thomas E.; Lobscheid, A.B.

2006-06-01T23:59:59.000Z

159

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

End-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyEnd-Use Forecasting with EPRI-REEPS 2.1. Lawrence BerkeleyPower Research Institute. EPRI Research Project Meier, Alan

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

160

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End Uses of

Note: This page contains sample records for the topic "regional end-use consumption" 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

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of5 End Uses

162

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

LPG is a major energy source, while coal and electricity arethe total residential energy and coal is the dominant fuel.1 Residential Energy consumption by End-use Coal Renewables

Zhou, Nan

2010-01-01T23:59:59.000Z

163

Electricity end-use efficiency: Experience with technologies, markets, and policies throughout the world  

SciTech Connect (OSTI)

In its August meeting in Geneva, the Energy and Industry Subcommittee (EIS) of the Policy Response Panel of the Intergovernmental Panel on Climate Change (IPCC) identified a series of reports to be produced. One of these reports was to be a synthesis of available information on global electricity end-use efficiency, with emphasis on developing nations. The report will be reviewed by the IPCC and approved prior to the UN Conference on Environment and Development (UNCED), Brazil, June 1992. A draft outline for the report was submitted for review at the November 1991 meeting of the EIS. This outline, which was accepted by the EIS, identified three main topics to be addressed in the report: status of available technologies for increasing electricity end-use efficiency; review of factors currently limiting application of end-use efficiency technologies; and review of policies available to increase electricity end-use efficiency. The United States delegation to the EIS agreed to make arrangements for the writing of the report.

Levine, M.D.; Koomey, J.; Price, L. [Lawrence Berkeley Lab., CA (United States); Geller, H.; Nadel, S. [American Council for an Energy-Efficient Economy, Washington, DC (United States)

1992-03-01T23:59:59.000Z

164

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of

165

End-use electrification in the residential sector : a general equilibrium analysis of technology advancements  

E-Print Network [OSTI]

The residential sector in the U.S. is responsible for about 20% of the country's primary energy use (EIA, 2011). Studies estimate that efficiency improvements in this sector can reduce household energy consumption by over ...

Madan, Tanvir Singh

2012-01-01T23:59:59.000Z

166

Factors of material consumption  

E-Print Network [OSTI]

Historic consumption trends for materials have been studied by many researchers, and, in order to identify the main drivers of consumption, special attention has been given to material intensity, which is the consumption ...

Silva Díaz, Pamela Cristina

2012-01-01T23:59:59.000Z

167

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

and the size of refrigerators and freezers; for all otherwhile water heating, refrigerator, and freezer end-uses showas projected by REEPS. Refrigerator and freezer percentage

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

168

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

Administration. April. EPRI. 1982. Residential End-UseInstitute. EA-2512. July. EPRI. 1990. REEPS 2.0 HVAC ModelInstitute. October 11. EPRI, Electric Power Research

Johnson, F.X.

2010-01-01T23:59:59.000Z

169

Understanding energy consumption: Beyond technology and economics  

SciTech Connect (OSTI)

This paper summarizes two years of efforts among a cross-disciplinary group of senior researchers to bring social and cultural perspectives to modeling of household energy consumption. The work has been organized by the Center for Energy Studies of the University of Geneva. The researchers represent both the physical and social sciences, several institutions and a number of countries. The initiative was based on an acknowledgement of the failure of technical and economic models to explain consumption or more importantly, how consumption patterns change. Technical and economic models most often either ignore social and cultural issues or reduce them to parameters of other variables. An important objective for the Geneva Group has been to engage modelers and social scientists in a dialogue which brings social and cultural context to the fore. The process reveals interesting insights into the frictions of cross-disciplinary interaction and the emergence of new perspectives. Various classical modeling approaches have been discussed and rejected. Gradually, a framework has emerged which says something about the appropriate institutions and actors which contribute to consumption patterns; about how they are related; and finally about how the interinstitutional relationships and the consumption patterns themselves change. A key point of convergence is that a complete understanding of energy end-use will not be possible from an analysis directed at the point of end use alone. The analysis must incorporate what happens inside institutions like manufacturers, retailers, and public policy organizations as well as how those organizations interact with consumers, including media and advertising. Progress towards a better understanding of energy consumption requires a greater engagement of social scientists with these heretofore little explored actors an relationships.

Wilhite, H.; Shove, E.

1998-07-01T23:59:59.000Z

170

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

Consumption and Expenditures 1992. Energy Information Administration, U.S.92). April. US DOE. 1995c. Residential Energy ConsumptionConsumption and Expenditures 1993. EIA, Energy Information Administration, U.S.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

171

Table E9. Total End-Use Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy Expenditure

172

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel388

173

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3882.

174

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3882.5

175

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3882.56

176

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3882.565

177

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network [OSTI]

2004) Survey on Electricity Consumption Characteristics ofof residential electricity consumption in rapidly developingbusiness as usual’ electricity consumption by country/region

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

178

Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting-use forecasting of appliance energy use in the U.S. residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

179

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

30% of electricity consumption, 70% of natural gas consumption and 90% of oil consumption in the U by the Electric Power Research Institute (McMenamin et al. 1992). This modeling framework treats space consumption in residences (EIA 1993). This report is primarily methodological in nature, taking the reader

180

July 11 Public Meeting: Physical Characterization of Grid-Connected Commercial And Residential Building End-Use Equipment And Appliances  

Broader source: Energy.gov [DOE]

These documents contain the three slide decks presented at the public meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances, held on July 11, 2014 in Washington, DC.

Note: This page contains sample records for the topic "regional end-use consumption" 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

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm  

SciTech Connect (OSTI)

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings' EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

182

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network [OSTI]

Richard E. Brown, James W. Hanford, Alan H . Sanstad, andFrancis X . , James W. Hanford, Richard E. Brown, Alan H.place for these end-uses (Hanford et al. 1994, Hwang et al.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

183

Global warming and end-use efficiency implications of replacing CFCs  

SciTech Connect (OSTI)

The direct contribution of CFCs to calculated global warming has been recognized for some time. As a result of the international agreement to phase out CFCs due to stratospheric ozone and the ensuing search for suitable alternatives, there has recently been increased attention on the DIRECT global warming potential (GWP) of the fluorocarbon alternatives as greenhouse gases. However, to date there has been little focus on the INDIRECT global warming effect arising from end-use efficiency changes and associated CO{sub 2} emissions. A study being conducted at Oak Ridge National Laboratory (ORNL) addresses this combined or total global warming impact of viable options to replace CFCs in their major energy-related applications. This paper reviews selected results for air-conditioning, refrigeration, and heat pump applications. The analysis indicates that the CFC user industries have made substantial progress in approaching near-equal energy efficiency with the HCFC/HFC alternative refrigerants. The findings also bring into question the relative importance of the DIRECT (chemical-related) effect in many applications. Replacing CFCs is an important step in reducing the total global warming impact, and at present the HCFC and HFCS appear to offer the best efficiency and lowest total impact of options available in the relatively short time period required for the transition away from CFCs.

Fairchild, P.D.; Fischer, S.K.

1991-12-31T23:59:59.000Z

184

Development of an Energy Savings Benchmark for All Residential End-Uses: Preprint  

SciTech Connect (OSTI)

To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in 2003. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines, with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a''standard'' set of occupants, was created for use in conjunction with the Benchmark. Finally, a set of tools was developed by NREL and other Building America partners to help analysts compare whole-house energy use for a Prototype house to the Benchmark in a fair and consistent manner.

Hendron, R.; Anderson, R.; Christensen, C.; Eastment, M.; Reeves, P.

2004-08-01T23:59:59.000Z

185

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network [OSTI]

location, whether or not cogeneration technologies are used,in rural regions use cogeneration technologies and thisof coal- powered cogeneration plants are not provided by the

McKone, Thomas E.

2011-01-01T23:59:59.000Z

186

World energy consumption  

SciTech Connect (OSTI)

Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

NONE

1995-12-01T23:59:59.000Z

187

Solar Adoption and Energy Consumption in the Residential Sector.  

E-Print Network [OSTI]

??This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region… (more)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

188

2005 Residential Energy Consumption Survey  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference

189

Significant ELCAP analysis results: Summary report. [End-use Load and Consumer Assessment Program  

SciTech Connect (OSTI)

The evolution of the End-Use Load and Consumer Assessment Program (ELCAP) since 1983 at Bonneville Power Administration (Bonneville) has been eventful and somewhat tortuous. The birth pangs of a data set so large and encompassing as this have been overwhelming at times. The early adolescent stage of data set development and use has now been reached and preliminary results of early analyses of the data are becoming well known. However, the full maturity of the data set and the corresponding wealth of analytic insights are not fully realized. This document is in some sense a milestone in the brief history of the program. It is a summary of the results of the first five years of the program, principally containing excerpts from a number of previous reports. It is meant to highlight significant accomplishments and analytical results, with a focus on the principal results. Many of the results have a broad application in the utility load research community in general, although the real breadth of the data set remains largely unexplored. The first section of the document introduces the data set: how the buildings were selected, how the metering equipment was installed, and how the data set has been prepared for analysis. Each of the sections that follow the introduction summarize a particular analytic result. A large majority of the analyses to date involve the residential samples, as these were installed first and had highest priority on the analytic agenda. Two exploratory analyses using commercial data are included as an introduction to the commercial analyses that are currently underway. Most of the sections reference more complete technical reports which the reader should refer to for details of the methodology and for more complete discussion of the results. Sections have been processed separately for inclusion on the data base.

Pratt, R.G.; Conner, C.C.; Drost, M.K.; Miller, N.E.; Cooke, B.A.; Halverson, M.A.; Lebaron, B.A.; Lucas, R.G.; Jo, J.; Richman, E.E.; Sandusky, W.F. (Pacific Northwest Lab., Richland, WA (USA)); Ritland, K.G. (Ritland Associates, Seattle, WA (USA)); Taylor, M.E. (USDOE Bonneville Power Administration, Portland, OR (USA)); Hauser, S.G. (Solar Energy Research Inst., Golden, CO (USA))

1991-02-01T23:59:59.000Z

190

Modeling energy consumption of residential furnaces and boilers in U.S. homes  

E-Print Network [OSTI]

ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . .28 ENERGY CONSUMPTION

Lutz, James; Dunham-Whitehead, Camilla; Lekov, Alex; McMahon, James

2004-01-01T23:59:59.000Z

191

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

SciTech Connect (OSTI)

While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

Zhou, Nan; Lin, Jiang

2007-08-01T23:59:59.000Z

192

Changing patterns of world energy consumption  

SciTech Connect (OSTI)

The substantial increases in oil prices since 1973 have had tremendous impacts on world energy, and particularly on oil consumption. These impacts have varied across regions and energy types. As shown in a table, from 1960 through 1973 the real price of internationally traded crude oil, as measured in constant US dollars, changed very little. In this stable oil price environment, Free World energy consumption grew at 5.3% per year and oil use rose at 7.5% per year, increasing its share of Free World energy consumption from 43 to 56%. 6 tables.

Todd, S.H.

1983-08-01T23:59:59.000Z

193

Reduces electric energy consumption  

E-Print Network [OSTI]

BENEFITS · Reduces electric energy consumption · Reduces peak electric demand · Reduces natural gas consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings products for the automotive industry, electrical equipment, and miscellaneous other uses nationwide. ALCOA

194

Energy Consumption of Transponders  

E-Print Network [OSTI]

Energy Consumption of Transponders Lei Shi Apr. 26, 2011 #12;Contents · Energy Efficient Ethernet · Energy Efficient EPON · Core Network ­ MLR: Reach and Energy Cost #12;Ethernet Energy Consumption is usually over 5 W · Energy Efficient Ethernet (EEE), uses a Low Power Idle mode to reduce energy

California at Davis, University of

195

2 Large CO2 reductions via offshore wind power matched to inherent 3 storage in energy end-uses  

E-Print Network [OSTI]

2 Large CO2 reductions via offshore wind power matched to inherent 3 storage in energy end-uses 4 by matching the winds of the 14 Middle-Atlantic Bight (MAB) to energy demand in the 15 adjacent states] We develop methods for assessing offshore wind 9 resources, using a model of the vertical structure

Firestone, Jeremy

196

Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks  

E-Print Network [OSTI]

Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora was tested on the set of speech corpora used for the "Aurora" evaluation. Using the feature stream generated and server side ASR processing, a standartization initiative called "Aurora" was initiated within European

Dupont, Stéphane

197

Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0  

SciTech Connect (OSTI)

End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

1994-05-01T23:59:59.000Z

198

Control Policy: End-User and End-Use Based Part 744--page 1 Export Administration Regulations October 1, 2001  

E-Print Network [OSTI]

of items subject to the EAR to defined nuclear, missile, chemical and biological weapons, and nuclear nuclear, missile, chemical, or biological end- uses regardless of whether that support involves the export items for certain aircraft and vessels. In addition, these sections include license review standards

Bernstein, Daniel

199

IMPACTS OF GREENHOUSE GAS AND PARTICULATE EMISSIONS FROM WOODFUEL PRODUCTION AND END-USE IN SUB-SAHARAN AFRICA  

E-Print Network [OSTI]

the pollution associated with production, distribution and end-use of common household fuels and assess. At the household level, energy is derived primarily from solid biomass fuels burned in simple stoves with poor & African Center for Technology Studies, Nairobi, Kenya ABSTRACT: Household energy in sub-Saharan Africa

Kammen, Daniel M.

200

Energy End-Use Intensities in Commercial Buildings 1989 data -- Publication  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand Tables

Note: This page contains sample records for the topic "regional end-use consumption" 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

,"U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDryCoalbedCrude OilShale Proved

202

,"U.S. Adjusted Sales of Distillate Fuel Oil by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDryCoalbedCrude OilShale

203

,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDryCoalbedCrude OilShaleResidual Fuel

204

,"U.S. Distillate Fuel Oil and Kerosene Sales by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars perReserves (Billion Cubic Feet)"+ LeaseDistillate

205

,"U.S. Total Sales of Residual Fuel Oil by End Use"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in Nonproducing Reservoirs (MillionNatural GasRefinerSales

206

CBECS 1989 - Energy End-use Intensities in Commercial Buildings -- Detailed  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84 8711757

207

Energy-consumption modelling  

SciTech Connect (OSTI)

A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

Reiter, E.R.

1980-01-01T23:59:59.000Z

208

2005 Residential Energy Consumption Survey  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference case,A5.On-HighwayDAD

209

2005 Residential Energy Consumption Survey  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference case,A5.On-HighwayDADE

210

2005 Residential Energy Consumption Survey  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, ReferenceG (2005) - Household

211

Reduction of Water Consumption  

E-Print Network [OSTI]

Cooling systems using water evaporation to dissipate waste heat, will require one pound of water per 1,000 Btu. To reduce water consumption, a combination of "DRY" and "WET" cooling elements is the only practical answer. This paper reviews...

Adler, J.

212

Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results  

SciTech Connect (OSTI)

This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

Koomey, J.G.; Brown, R.E.; Richey, R. [and others

1995-12-01T23:59:59.000Z

213

TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN  

E-Print Network [OSTI]

PWP-085 TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN CALIFORNIA, California 94720-5180 www.ucei.org #12;TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING** Abstract This study analyzes state and regional electricity supply and demand trends for the eleven states

California at Berkeley. University of

214

& CONSUMPTION US HYDROPOWER PRODUCTION  

E-Print Network [OSTI]

ENERGY PRODUCTION & CONSUMPTION US HYDROPOWER PRODUCTION In the United States hydropower supplies 12% of the nation's electricity. Hydropower produces more than 90,000 megawatts of electricity, which is enough to meet the needs of 28.3 million consumers. Hydropower accounts for over 90% of all electricity

215

Future Air Conditioning Energy Consumption in Developing Countriesand what can be done about it: The Potential of Efficiency in theResidential Sector  

SciTech Connect (OSTI)

The dynamics of air conditioning are of particular interestto energy analysts, both because of the high energy consumption of thisproduct, but also its disproportionate impact on peak load. This paperaddresses the special role of this end use as a driver of residentialelectricity consumption in rapidly developing economies. Recent historyhas shown that air conditioner ownership can grow grows more rapidly thaneconomic growth in warm-climate countries. In 1990, less than a percentof urban Chinese households owned an air conditioner; by 2003 this numberrose to 62 percent. The evidence suggests a similar explosion of airconditioner use in many other countries is not far behind. Room airconditioner purchases in India are currently growing at 20 percent peryear, with about half of these purchases attributed to the residentialsector. This paper draws on two distinct methodological elements toassess future residential air conditioner 'business as usual' electricityconsumption by country/region and to consider specific alternative 'highefficiency' scenarios. The first component is an econometric ownershipand use model based on household income, climate and demographicparameters. The second combines ownership forecasts and stock accountingwith geographically specific efficiency scenarios within a uniqueanalysis framework (BUENAS) developed by LBNL. The efficiency scenariomodule considers current efficiency baselines, available technologies,and achievable timelines for development of market transformationprograms, such as minimum efficiency performance standards (MEPS) andlabeling programs. The result is a detailed set of consumption andemissions scenarios for residential air conditioning.

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

216

Rice consumption in China  

E-Print Network [OSTI]

of Agricultural Economics. products has shifted away from staple grains and toward meat, dairy products, eggs, and other secondary foods. Rapid growth of animal production and the government's present target for increased production of specific non-grain crops... could lead to a, large shortage of the coarse grain needed for development of animal husbandry. If per capita. rice consumption grows slowly, there is the potential for excess capacity in rice production if the annual rice production growth rate...

Lan, Jin

1989-01-01T23:59:59.000Z

217

REGIONAL TECHNICAL FORUM STATEMENT OF WORK  

E-Print Network [OSTI]

and distribution systems, Smart-Grid applications and other activities such as system operations that would benefit Program (ELCAP) and Regional End-use #12;2 Metering Program (REMP) in the 1980's and early 1990's

218

Characterization of changes in commercial building structure, equipment, and occupants: End-Use Load and Consumer Assessment Program  

SciTech Connect (OSTI)

Changes in commercial building structure, equipment, and occupants result in changes in building energy use. The frequency and magnitude of those changes have substantial implications for conservation programs and resource planning. For example, changes may shorten the useful lifetime of a conservation measure as well as impact the savings from that measure. This report summarizes the frequency of changes in a commercial building sample that was end-use metered under the End-Use Load and Consumer Assessment Program (ELCAP). The sample includes offices, dry good retails, groceries, restaurants, warehouses, schools, and hotels. Two years of metered data, site visit records, and audit data were examined for evidence of building changes. The observed changes were then classified into 12 categories, which included business type, equipment, remodel, vacancy, and operating schedule. The analysis characterized changes in terms of frequency of types of change; relationship to building vintage and floor area; and variation by building type. The analysis also examined the energy impacts of various changes. The analysis determined that the rate of change in commercial buildings is high--50% of the buildings experienced one type of change during the 2 years for which monitoring data were examined. Equipment changes were found to be most frequent in offices and retail stores. Larger, older office buildings tend to experience a wider variety of changes more frequently than the smaller, newer buildings. Key findings and observations are presented in Section 2. Section 3 provides the underlying motivation and objectives. In Section 4, the methodology used is documented, including the commercial building sample and the data sources used. Included are the definitions of change events and the overall approach taken. Results are analyzed in Section 5, with additional technical details in Appendixes. 2 refs., 46 figs., 22 tabs. (JF)

Lucas, R.G.; Taylor, Z.T.; Miller, N.E.; Pratt, R.G.

1990-12-01T23:59:59.000Z

219

Margins up; consumption down  

SciTech Connect (OSTI)

The results of a survey of dealers in the domestic fuel oil industry are reported. Wholesale prices, reacting to oversupply, decreased as did retail prices; retail prices decreased at a slower rate so profit margins were larger. This trend produced competitive markets as price-cutting became the method for increasing a dealer's share of the profits. Losses to other fuels decreased, when the figures were compared to earlier y; and cash flow was very good for most dealers. In summary, profits per gallon of oil delivered increased, while the consumption of gasoline per customer decreased. 22 tables.

Mantho, M.

1983-09-01T23:59:59.000Z

220

Transportation Energy Consumption Surveys  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26, 2008Product:7.1Energy Consumption (RTECS)

Note: This page contains sample records for the topic "regional end-use consumption" 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

Analysis of Michigan's demand-side electricity resources in the residential sector: Volume 3, End-use studies: Revised final report  

SciTech Connect (OSTI)

This volume of the ''Analysis of Michigan's Demand-Side Electricity Resources in the Residential Sector'' contains end-use studies on various household appliances including: refrigerators, freezers, lighting systems, water heaters, air conditioners, space heaters, and heat pumps. (JEF)

Krause, F.; Brown, J.; Connell, D.; DuPont, P.; Greely, K.; Meal, M.; Meier, A.; Mills, E.; Nordman, B.

1988-04-01T23:59:59.000Z

222

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm. Final report  

SciTech Connect (OSTI)

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings` EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

223

2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances  

Broader source: Energy.gov [DOE]

These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

224

Financing end-use solar technologies in a restructured electricity industry: Comparing the cost of public policies  

SciTech Connect (OSTI)

Renewable energy technologies are capital intensive. Successful public policies for promoting renewable energy must address the significant resources needed to finance them. Public policies to support financing for renewable energy technologies must pay special attention to interactions with federal, state, and local taxes. These interactions are important because they can dramatically increase or decrease the effectiveness of a policy, and they determine the total cost of a policy to society as a whole. This report describes a comparative analysis of the cost of public policies to support financing for two end-use solar technologies: residential solar domestic hot water heating (SDHW) and residential rooftop photovoltaic (PV) systems. The analysis focuses on the cost of the technologies under five different ownership and financing scenarios. Four scenarios involve leasing the technologies to homeowners in return for a payment that is determined by the financing requirements of each form of ownership. For each scenario, the authors examine nine public policies that might be used to lower the cost of these technologies: investment tax credits (federal and state), production tax credits (federal and state), production incentives, low-interest loans, grants (taxable and two types of nontaxable), direct customer payments, property and sales tax reductions, and accelerated depreciation.

Jones, E.; Eto, J.

1997-09-01T23:59:59.000Z

225

Methodology for reconstruction of historical food consumption estimates  

SciTech Connect (OSTI)

This report was written to provide the food consumption methodology to be used in the Hanford Environmental Dose Reconstruction (HDER) Project beyond Phase I (which ended in July 1990). In Phase I (Callaway 1992), baseline food consumption estimates (grams per day) for 10 primary food types in the original 10-county study region were derived from the 1977--1978 National Food Consumption Survey (USDA 1983). The baseline estimates were multiplied by the 1945:1977 ratios to produce consumption estimates for 1945. This ratio backcasting method used in Phase I to project consumption estimates from 1977 back to 1945 will be refined using additional USDA data to improve and document the acceptability of the ratios for deriving backcast consumption estimates. The number of food types and population groups will be expanded to provide more disaggregated estimates of food consumption. Food consumption estimates will be developed for 1945, 1951, and 1957. A database of individual diets will be created from which daily diets will be randomly selected for use in the dose model to calculate doses for reference individuals.

Anderson, D.M.

1992-05-01T23:59:59.000Z

226

Exceeding Energy Consumption Design Expectations  

E-Print Network [OSTI]

) the building consumed 208.7 kWh m-2 yr-1, 83% of the expected energy consumption (250 kWh m-2 yr-1). This dropped further to 176.1 kWh m-2 yr-1 in 2012 (70% below expected). Factors affecting building energy consumption have been discussed and appraised...

Castleton, H. F.; Beck, S. B. M.; Hathwat, E. A.; Murphy, E.

2013-01-01T23:59:59.000Z

227

Paraho environmental data. Part IV. Land reclamation and revegetation. Part V. Biological effects. Part VI. Occupational health and safety. Part VII. End use  

SciTech Connect (OSTI)

Characteristics of the environment and ecosystems at Anvil Points, reclamation of retorted shale, revegetation of retorted shale, and ecological effects of retorted shale are reported in the first section of this report. Methods used in screening shale oil and retort water for mutagens and carcinogens as well as toxicity studies are reported in the second section of this report. The third section contains information concerning the industrial hygiene and medical studies made at Anvil Points during Paraho research operations. The last section discusses the end uses of shale crude oil and possible health effects associated with end use. (DMC)

Limbach, L.K.

1982-06-01T23:59:59.000Z

228

Large CO2 reductions via offshore wind power matched to inherent storage in energy end-uses  

E-Print Network [OSTI]

of the Middle-Atlantic Bight (MAB) to energy demand in the adjacent states (Massachusetts through North Carolina exceeding the region's current summed demand for 73 GW of electricity, 29 GW of light vehicle fuels (now; Gregory et al., 2004; Thomas et al., 2004] increasingly appear to require a response faster than

Jacobson, Mark

229

Energy consumption of building 39  

E-Print Network [OSTI]

The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

230

The Wealth-Consumption Ratio  

E-Print Network [OSTI]

We derive new estimates of total wealth, the returns on total wealth, and the wealth effect on consumption. We estimate the prices of aggregate risk from bond yields and stock returns using a no-arbitrage model. Using these ...

Verdelhan, Adrien Frederic

231

US WSC TX Site Consumption  

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

an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but...

232

US ESC TN Site Consumption  

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

an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33% higher than the national average...

233

Energy Consumption Profile for Energy  

E-Print Network [OSTI]

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

234

Progressive consumption : strategic sustainable excess  

E-Print Network [OSTI]

Trends in the marketplace show that urban dwellers are increasingly supporting locally produced foods. This thesis argues for an architecture that responds to our cultures consumptive behaviors. Addressing the effects of ...

Bonham, Daniel J. (Daniel Joseph MacLeod)

2007-01-01T23:59:59.000Z

235

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh)...

236

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

3A. Total Electricity Consumption and Expenditures for All Buildings, 2003 All Buildings Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings...

237

Energy Information Administration - Commercial Energy Consumption...  

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

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

238

Energy Information Administration - Commercial Energy Consumption...  

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

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

239

Energy Information Administration - Commercial Energy Consumption...  

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

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

240

Energy Information Administration - Commercial Energy Consumption...  

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

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

Note: This page contains sample records for the topic "regional end-use consumption" 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

Energy Information Administration - Commercial Energy Consumption...  

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

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

242

Energy Information Administration - Commercial Energy Consumption...  

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

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

243

Energy Information Administration - Commercial Energy Consumption...  

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

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

244

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

245

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

246

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

247

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

248

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

249

Energy Information Administration - Commercial Energy Consumption...  

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

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

250

Energy Information Administration - Commercial Energy Consumption...  

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

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

251

Demonstrating Fuel Consumption and Emissions Reductions with...  

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

Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control Demonstrating Fuel Consumption and Emissions Reductions with Next Generation...

252

April 30 Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances  

Broader source: Energy.gov [DOE]

These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014. The first document includes the first presentation from the meeting: DOE Vision and Objectives. The second document includes all other presentations from the meeting: Terminology and Definitions; End-User and Grid Services; Physical Characterization Framework; Value, Benefits & Metrics.

253

Today in Energy - commercial consumption & efficiency  

Reports and Publications (EIA)

Short, timely articles with graphs about recent commercial consumption and efficiency issues and trends.

2028-01-01T23:59:59.000Z

254

Fuel consumption model for FREFLO  

E-Print Network [OSTI]

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

255

Analyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM  

E-Print Network [OSTI]

regions and we present an energy model to determine the maximum energy savings that could potentially memory in the past three decades has been DRAM due to its low cost per bit and low energy consumptionAnalyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM Main

Zhang, Youtao

256

Analysis of the Effects of the Application of Solar Water Heater in Building Energy Consumption  

E-Print Network [OSTI]

With the development of the economy, civilian construction in the Changjiang River delta region is rapidly expanding. The boom in the construction industry definitely results in that the proportion of building energy consumption to whole energy...

Wang, J.; Li, Z.

2006-01-01T23:59:59.000Z

257

1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report  

SciTech Connect (OSTI)

The results of the 1980 survey of electric utility-sponsored energy conservation, load management, and end-use solar energy conversion projects are described. The work is an expansion of a previous survey and evaluation and has been jointly sponsored by EPRI and DOE through the Oak Ridge National Laboratory. There are three volumes and a summary document. Each volume presents the results of an extensive survey to determine electric utility involvement in customer-side projects related to the particular technology (i.e., conservation, solar, or load management), selected descriptions of utility projects and results, and first-level technical and economic evaluations.

Not Available

1982-01-01T23:59:59.000Z

258

Manufacturing consumption of energy 1994  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

NONE

1997-12-01T23:59:59.000Z

259

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand)...

260

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

Note: This page contains sample records for the topic "regional end-use consumption" 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

Energy Information Administration - Commercial Energy Consumption...  

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

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace...

262

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

263

Energy Information Administration - Commercial Energy Consumption...  

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

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

264

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace...

265

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total...

266

Essays on aggregate and individual consumption fluctuations  

E-Print Network [OSTI]

This thesis consists of three essays on aggregate and individual consumption fluctuations. Chapter 1 develops a quantitative model to explore aggregate and individual consumption dynamics when the income process exhibits ...

Hwang, Youngjin

2006-01-01T23:59:59.000Z

267

State energy data report 1992: Consumption estimates  

SciTech Connect (OSTI)

This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

Not Available

1994-05-01T23:59:59.000Z

268

Monitoring Energy Consumption In Wireless Sensor Networks  

E-Print Network [OSTI]

Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

Turau, Volker

269

Energy Consumption of Personal Computing Including Portable  

E-Print Network [OSTI]

Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

Namboodiri, Vinod

270

Ethanol Consumption by Rat Dams During Gestation,  

E-Print Network [OSTI]

Ethanol Consumption by Rat Dams During Gestation, Lactation and Weaning Increases Ethanol examined effects of ethanol consumption in rat dams during gestation, lactation, and weaning on voluntary ethanol consumption by their adolescent young. We found that exposure to an ethanol-ingesting dam

Galef Jr., Bennett G.

271

Mathematical models of natural gas consumption  

E-Print Network [OSTI]

Mathematical models of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan Vazler , Marijana Zeki-Susac ksabo of natural gas consumption hourly fore- cast on the basis of hourly movement of temperature and natural gas

Scitovski, Rudolf

272

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources a significant effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 15

273

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.0 pounds

274

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.5 pounds

275

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

276

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 84 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

277

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

a forecast for total energy consumption in network standbyconsiderable impact on total energy consumption from TVs.factors affecting total energy consumption. Although further

Park, Won Young

2011-01-01T23:59:59.000Z

278

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

strategies impact on energy consumption in residentialBEHAVIOUR ON HEAT ENERGY CONSUMPTION Nicola Combe 1 ,2 ,nearly 60% of domestic energy consumption and 27% of total

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

279

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

and Low Power Mode Energy Consumption”, Energy Efficiency inEnergy Consumption ..26 3.1.3. 3D TV Energy Consumption and Efficiency

Park, Won Young

2011-01-01T23:59:59.000Z

280

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

49 3.3.3. Pre-installation electricity consumption of CSIE. Kahn (2011). Electricity Consumption and Durable Housing:on Electricity Consumption .

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents [OSTI]

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

2008-09-02T23:59:59.000Z

282

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents [OSTI]

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

Donnelly, Matthew K. (Kennewick, WA); Chassin, David P. (Pasco, WA); Dagle, Jeffery E. (Richland, WA); Kintner-Meyer, Michael (Richland, WA); Winiarski, David W. (Kennewick, WA); Pratt, Robert G. (Kennewick, WA); Boberly-Bartis, Anne Marie (Alexandria, VA)

2006-03-07T23:59:59.000Z

283

US ENC IL Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,CoalThousandIL Site Consumption million

284

US ENC MI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,CoalThousandIL Site Consumption

285

US ENC WI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,CoalThousandIL Site Consumption120 US

286

US ESC TN Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,CoalThousandIL Site Consumption120 USESC

287

Adapting state and national electricity consumption forecasting methods to utility service areas. Final report  

SciTech Connect (OSTI)

This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

Swift, M.A.

1984-07-01T23:59:59.000Z

288

Consumption-based accounting of CO2 emissions  

E-Print Network [OSTI]

gross world product, E is global energy consumption, Authorworld GDP, f = F/E is carbon intensity of energy consumption,

Davis, S. J; Caldeira, K.

2010-01-01T23:59:59.000Z

289

Flow shop scheduling with peak power consumption constraints  

E-Print Network [OSTI]

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer ...

K. Fang

2012-03-29T23:59:59.000Z

290

Oregon State University Sun Grant Western Regional Center  

E-Print Network [OSTI]

Oregon State University Sun Grant Western Regional Center Hybrid Poplar as a Regional Ethanol is to couple hybrid poplar production with end-use ethanol production. Dr. Swanson, working in collaboration with industrial partners, will analyze feedstock taken from selected hybrid poplar clones to develop ethanol yield

Tullos, Desiree

291

Energy consumption in thermomechanical pulping  

SciTech Connect (OSTI)

Various components of refining energy were determined experimentally and compared with those calculated on the basis of the dimensions of morphological elements of wood. The experimentally determined fiberization energy of spruce was 6 to 60 times larger than the calculated value and that of birch 3 to 15 times larger. The energy consumed in reducing the Canadian standard freeness of isolated fibers from 500 to 150 ml was found to be approximately 1/3 of the total fiber development energy for both spruce and birch TMP. Chip size affected the refining energy consumption; the total energy dropped by approximately 30% when chip size was reduced from 16 mm to 3 mm in the case of spruce and approximately 40% for birch. 6 refs.

Marton, R.; Tsujimoto, N.; Eskelinen, E.

1981-08-01T23:59:59.000Z

292

,"New Mexico Natural Gas Total Consumption (MMcf)"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","331...

293

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

294

Resource Consumption of Additive Manufacturing Technology.  

E-Print Network [OSTI]

??The degradation of natural resources as a result of consumption to support the economic growth of humans society represents one of the greatest sustainability challenges.… (more)

Nopparat, Nanond

2012-01-01T23:59:59.000Z

295

Pricing Conspicuous Consumption Products in Recession Periods ...  

E-Print Network [OSTI]

Conspicuous consumptions products as luxury cars, designer brands, and fancy hotel rooms .... mand D is driven by the brand image and the pricing strategy p.

2012-09-26T23:59:59.000Z

296

Heavy Oil Consumption Reduction Program (Quebec, Canada)  

Broader source: Energy.gov [DOE]

This program helps heavy oil consumers move toward sustainable development while improving their competitive position by reducing their consumption. Financial assistance is offered to carry out...

297

Permitting of Consumptive Uses of Water (Florida)  

Broader source: Energy.gov [DOE]

Local water management districts are required to establish programs and regulations to provide for the permitting of consumptive uses of water. Such permitting programs are subject to the...

298

A work bibliography on native food consumption, demography and lifestyle  

SciTech Connect (OSTI)

The purpose of this report is to provide a bibliography for the Native American tribe participants in the Hanford Environmental Dose Reconstruction (HEDR) Project to use. The HEDR Project's primary objective is to estimate the radiation dose that individuals could have received as a result of emissions since 1944 from the US Department of Energy's Hanford Site near Richland, Washington. Eight Native American tribes are responsible for estimating daily and seasonal consumption of traditional foods, demography, and other lifestyle factors that could have affected the radiation dose received by tribal members. This report provides a bibliography of recorded accounts that tribal researchers may use to verify their estimates. The bibliographic citations include references to information on the specific tribes, Columbia River plateau ethnobotany, infant feeding practices and milk consumption, nutritional studies and radiation, tribal economic and demographic characteristics (1940--1970), research methods, primary sources from the National Archives, regional archives, libraries, and museums.

Murray, C.E.; Lee, W.J.

1992-12-01T23:59:59.000Z

299

Energy Consumption of Minimum Energy Coding in  

E-Print Network [OSTI]

Energy Consumption of Minimum Energy Coding in CDMA Wireless Sensor Networks Benigno Zurita Ares://www.ee.kth.se/control Abstract. A theoretical framework is proposed for accurate perfor- mance analysis of minimum energy coding energy consumption is analyzed for two coding schemes proposed in the literature: Minimum Energy coding

Johansson, Karl Henrik

300

DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic  

E-Print Network [OSTI]

of the system and decides when and how to force power state transitions. The power manager makes state transition decisions according to the power management policy. The choice of the policy that minimizes powerChapter 1 DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic HP Labs Abstract Power consumption

Simunic, Tajana

Note: This page contains sample records for the topic "regional end-use consumption" 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

Power consumption monitoring using additional monitoring device  

SciTech Connect (OSTI)

Today, emphasis is placed on reducing power consumption. Computers are large consumers; therefore it is important to know the total consumption of computing systems. Since their optimal functioning requires quite strict environmental conditions, without much variation in temperature and humidity, reducing energy consumption cannot be made without monitoring environmental parameters. Thus, the present work uses a multifunctional electric meter UPT 210 for power consumption monitoring. Two applications were developed: software which carries meter readings provided by electronic and programming facilitates remote device and a device for temperature monitoring and control. Following temperature variations that occur both in the cooling system, as well as the ambient, can reduce energy consumption. For this purpose, some air conditioning units or some computers are stopped in different time slots. These intervals were set so that the economy is high, but the work's Datacenter is not disturbed.

Tru?c?, M. R. C., E-mail: radu.trusca@itim-cj.ro; Albert, ?., E-mail: radu.trusca@itim-cj.ro; Tudoran, C., E-mail: radu.trusca@itim-cj.ro; Soran, M. L., E-mail: radu.trusca@itim-cj.ro; F?rca?, F., E-mail: radu.trusca@itim-cj.ro [National Institute for Research and Development of Isotopic and Molecular Technologies, 65-103 Donath, 400293 Cluj-Napoca (Romania); Abrudean, M. [Technical University of Cluj-Napoca, Cluj-Napoca (Romania)] [Technical University of Cluj-Napoca, Cluj-Napoca (Romania)

2013-11-13T23:59:59.000Z

302

Fuel consumption analyses for urban traffic management  

SciTech Connect (OSTI)

A primary output from the fuel consumption research conducted by the Australian Road Research Board (ARRB) is the ARRB Special Report, Guide to Fuel Consumption Analyses. This article briefly summarizes the background of the guide, describes its major features, and considers its relevance to urban traffic management decision. The guide was a result of a technical audit of studies relating to energy consumption in traffic and transport systems. A brief summary of the audit process and findings is given. The guide is intended primarily as an aid to effective use of fuel consumption models in the design of traffic management schemes. The forms of four interrelated fuel consumption models of the guide are described and their likely transferability to various situations is indicated. Each traffic and fuel consumption model is appropriate to a particular scale of traffic system. This link is shown for several selected traffic models. As an example, a discussion of the importance of accurate fuel consumption estimates for the case of priority control at a particular intersection is given.

Bowyer, D.P.; Akcelik, R.; Biggs, D.C.

1986-12-01T23:59:59.000Z

303

State energy data report 1993: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1995-07-01T23:59:59.000Z

304

State Energy Data Report, 1991: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1993-05-01T23:59:59.000Z

305

2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference case,A5.On-HighwayD

306

,"New Mexico Natural Gas Industrial Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"3292015 10:04:17 PM" "Back to Contents","Data 1: New Mexico Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035NM2" "Date","New...

307

,"New Mexico Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"3292015 10:01:29 PM" "Back to Contents","Data 1: New Mexico Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NM2" "Date","New...

308

,"New York Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:45:53 PM" "Back to Contents","Data 1: New York Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NY2" "Date","New...

309

,"New York Natural Gas Industrial Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:47:17 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035NY2" "Date","New York...

310

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

311

Continuous Improvement Energy Projects Reduce Energy Consumption  

E-Print Network [OSTI]

Continuous Improvement Energy Projects Reduce Energy Consumption Eric Niemeyer, Operations Superintendent Drilling Specialties Company A division of Chevron Phillips Chemical Company LP ESL-IE-14-05-31 Proceedings of the Thrity...

Niemeyer, E.

2014-01-01T23:59:59.000Z

312

US SoAtl VA Site Consumption  

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

an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national...

313

US MidAtl NY Site Consumption  

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

consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because...

314

US SoAtl GA Site Consumption  

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

household (2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to...

315

Energy consumption metrics of MIT buildings  

E-Print Network [OSTI]

With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energy consumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global ...

Schmidt, Justin David

2010-01-01T23:59:59.000Z

316

Essays on consumption cycles and corporate finance  

E-Print Network [OSTI]

consumption . . . . . 1.5.3 EIS and the timing of durablefor the CRRA case (? = 2, EIS = 0.5). The right and leftof intertemporal substitution (EIS). When the economy is

Issler, Paulo Floriano

2013-01-01T23:59:59.000Z

317

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

and Low Power Mode Energy Consumption”, Energy Efficiency inTV Shipments on Energy Consumption.. 22 Figure 3-1.Estimates of Annual Energy Consumption in 3D mode of 3D TVs

Park, Won Young

2011-01-01T23:59:59.000Z

318

Research on Building Energy Consumption Situation in Shanghai  

E-Print Network [OSTI]

This paper surveys the present situation of building energy consumption in Shanghai and points out the problems of insufficient energy consumption statistics based on the survey data. We analyze the relationships of energy consumption between...

Yang, X.; Tan, H.

2006-01-01T23:59:59.000Z

319

Uncertainties in Energy Consumption Introduced by Building Operations and  

E-Print Network [OSTI]

Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energy consumption can be attributed to uncertainties introduced in energy consumption due to actual weather and building operational practices, using a simulation

320

Using occupancy to reduce energy consumption of buildings  

E-Print Network [OSTI]

Meter allows us to study the energy consumption patterns onThis allows us to study the energy consumption of individualgives us a good framework to study the energy consumption

Balaji, Bharathan

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Increasing Underwater Vehicle Autonomy by Reducing Energy Consumption  

E-Print Network [OSTI]

: Autonomous Underwater Vehicle, Minimum Energy Consumption, Optimal Control, Experiments. 1 IntroductionIncreasing Underwater Vehicle Autonomy by Reducing Energy Consumption M. Chybaa , T. Haberkornd , S, we concern ourselves with finding a control strategy that minimizes energy consumption along

Chyba, Monique

322

Monitoring and Management of Refinery Energy Consumption  

E-Print Network [OSTI]

MONITORING AND MANAGEMENT OF REFINERY ENERGY CONSUMPTION Roger O. Pelham Richard D. Moriarty Patrie D. Hudgens Profimatics, Inc. Thousand Oaks, California ABSTRACT Since 1972, the u.s. refining industry has made much progress in reduci... ng energy consumption. Lately, falling energy prices have de-emphasized the need to appropriate new capital for additional energy conservation projects. One area neglected in most refineries is the need to monitor and man age the daily use...

Pelham, R. O.; Moriarty, R. D.; Hudgens, P. D.

323

Fact #705: December 12, 2011 Fuel Consumption Standards for Combinatio...  

Energy Savers [EERE]

5: December 12, 2011 Fuel Consumption Standards for Combination Tractors Fact 705: December 12, 2011 Fuel Consumption Standards for Combination Tractors The National Highway...

324

Comparison of Real World Energy Consumption to Models and DOE...  

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

Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates...

325

Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer ...  

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

Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Preliminary measured drying time of fabric sample using ultrasonic...

326

Fact #749: October 15, 2012 Petroleum and Natural Gas Consumption...  

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

9: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by State, 2010 Fact 749: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by...

327

Fact #861 February 23, 2015 Idle Fuel Consumption for Selected...  

Energy Savers [EERE]

1 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles Fact 861 February 23, 2015 Idle Fuel Consumption for Selected Gasoline and Diesel Vehicles...

328

The Impact of Oil Consumption Mechanisms on Diesel Exhaust Particle...  

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

Oil Consumption Mechanisms on Diesel Exhaust Particle Size Distributions and Detailed Exhaust Chemical Composition The Impact of Oil Consumption Mechanisms on Diesel Exhaust...

329

Fact #840: September 29, 2014 World Renewable Electricity Consumption...  

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

40: September 29, 2014 World Renewable Electricity Consumption is Growing Fact 840: September 29, 2014 World Renewable Electricity Consumption is Growing Electricity generated...

330

Power to the Plug: An Introduction to Energy, Electricity, Consumption...  

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

to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Below is...

331

New Water Booster Pump System Reduces Energy Consumption by 80...  

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

Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases...

332

Reducing fuel consumption on the field, by continuously measuring...  

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

fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines. Reducing fuel consumption on the field, by continuously measuring...

333

Fact #839: September 22, 2014 World Petroleum Consumption Continues...  

Energy Savers [EERE]

39: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe Fact 839: September 22, 2014 World Petroleum Consumption...

334

Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...  

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

Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and...

335

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies...  

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

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program 2012 DOE Hydrogen and Fuel Cells...

336

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network [OSTI]

consumption. Total energy consumption (in thousand BTUs) waselectricity and total energy consumption. Because all homesin gas, electric, and total energy consumption. Removing

Kelsven, Phillip

2013-01-01T23:59:59.000Z

337

Dynamic Simulation and Analysis of Heating Energy Consumption in a Residential Building  

E-Print Network [OSTI]

In winter, much of the building energy is used for heating in the north region of China. In this study, the heating energy consumption of a residential building in Tianjin during a heating period was simulated by using the EnergyPlus energy...

Liu, J.; Yang, M.; Zhao, X.; Zhu, N.

2006-01-01T23:59:59.000Z

338

State energy data report 1995 - consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1997-12-01T23:59:59.000Z

339

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

340

SUSTAINABLE DEVELOPMENT IN KAZAKHASTAN: USING OIL AND GAS PRODUCTION BY-PRODUCT SULFUR FOR COST-EFFECTIVE SECONDARY END-USE PRODUCTS.  

SciTech Connect (OSTI)

The Republic of Kazakhstan is continuing to develop its extensive petroleum reserves in the Tengiz region of the northeastern part of the Caspian Sea. Large quantities of by-product sulfur are being produced as a result of the removal of hydrogen sulfide from the oil and gas produced in the region. Lack of local markets and economic considerations limit the traditional outlets for by-product sulfur and the buildup of excess sulfur is a becoming a potential economic and environmental liability. Thus, new applications for re-use of by-product sulfur that will benefit regional economies including construction, paving and waste treatment are being developed. One promising application involves the cleanup and treatment of mercury at a Kazakhstan chemical plant. During 19 years of operation at the Pavlodar Khimprom chlor-alkali production facility, over 900 tons of mercury was lost to the soil surrounding and beneath the buildings. The Institute of Metallurgy and Ore Benefication (Almaty) is leading a team to develop and demonstrate a vacuum-assisted thermal process to extract the mercury from the soil and concentrate it as pure, elemental mercury, which will then be treated using the Sulfur Polymer Stabilization/Solidification (SPSS) process. The use of locally produced sulfur will recycle a low-value industrial by-product to treat hazardous waste and render it safe for return to the environment, thereby helping to solve two problems at once. SPSS chemically stabilizes mercury to mercuric sulfide, which has a low vapor pressure and low solubility, and then physically encapsulates the material in a durable, monolithic solid sulfur polymer matrix. Thus, mercury is placed in a solid form very much like stable cinnabar, the form in which it is found in nature. Previous research and development has shown that the process can successfully encapsulate up to 33 wt% mercury in the solid form, while still meeting very strict regulatory standards for leachable mercury (0.025 mg/l in the Toxicity Characteristic Leaching Procedure). The research and development to deploy Kazakhstan recycled sulfur for secondary applications described in this paper is being conducted with support from the International Science and Technology Center (ISTC) and the U.S. Department of Energy Initiatives for Proliferation Prevention (DOE IPP).

KALB, P.D.; VAGIN, S.; BEALL, P.W.; LEVINTOV, B.L.

2004-09-25T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Public perceptions of energy consumption and savings  

E-Print Network [OSTI]

on Environmental Decisions, Columbia University, New York, NY 10027; b Department of Psychology, Ohio StatePublic perceptions of energy consumption and savings Shahzeen Z. Attaria,1 , Michael L. De February 12, 2010) In a national online survey, 505 participants reported their percep- tions of energy

Kammen, Daniel M.

342

Organotin intake through fish consumption in Finland  

SciTech Connect (OSTI)

Background: Organotin compounds (OTCs) are a large class of synthetic chemicals with widely varying properties. Due to their potential adverse health effects, their use has been restricted in many countries. Humans are exposed to OTCs mostly through fish consumption. Objectives: The aim of this study was to describe OTC exposure through fish consumption and to assess the associated potential health risks in a Finnish population. Methods: An extensive sampling of Finnish domestic fish was carried out in the Baltic Sea and freshwater areas in 2005-2007. In addition, samples of imported seafood were collected in 2008. The chemical analysis was performed in an accredited testing laboratory during 2005-2008. Average daily intake of the sum of dibutyltin (DBT), tributyltin (TBT), triphenyltin (TPhT) and dioctyltin (DOT) ({Sigma}OTCs) for the Finnish population was calculated on the basis of the measured concentrations and fish consumption rates. Results: The average daily intake of {Sigma}OTCs through fish consumption was 3.2 ng/kg bw day{sup -1}, which is 1.3% from the Tolerable Daily Intake (TDI) of 250 ng/kg bw day{sup -1} set by the European Food Safety Authority. In total, domestic wild fish accounted for 61% of the {Sigma}OTC intake, while the intake through domestic farmed fish was 4.0% and the intake through imported fish was 35%. The most important species were domestic perch and imported salmon and rainbow trout. Conclusions: The Finnish consumers are not likely to exceed the threshold level for adverse health effects due to OTC intake through fish consumption.

Airaksinen, Riikka, E-mail: Riikka.Airaksinen@thl.fi [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Rantakokko, Panu; Turunen, Anu W.; Vartiainen, Terttu [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Vuorinen, Pekka J.; Lappalainen, Antti; Vihervuori, Aune [Finnish Game and Fisheries Research Institute, Helsinki (Finland)] [Finnish Game and Fisheries Research Institute, Helsinki (Finland); Mannio, Jaakko [Finnish Environment Institute, Helsinki (Finland)] [Finnish Environment Institute, Helsinki (Finland); Hallikainen, Anja [Finnish Food Safety Authority Evira, Helsinki (Finland)] [Finnish Food Safety Authority Evira, Helsinki (Finland)

2010-08-15T23:59:59.000Z

343

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network [OSTI]

Solar Energy Center ABSTRACT Currently, total electricity consumption of furnacesFurnace Blower Electricity: National and Regional Savings Potential Victor Franco, James Lutz, Alex Lekov, and Lixing Gu (Florida Solar

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

344

Estimation of 1945 to 1957 food consumption  

SciTech Connect (OSTI)

This report details the methods used and the results of the study on the estimated historic levels of food consumption by individuals in the Hanford Environmental Dose Reconstruction (HEDR) study area from 1945--1957. This period includes the time of highest releases from Hanford and is the period for which data are being collected in the Hanford Thyroid Disease Study. These estimates provide the food-consumption inputs for the HEDR database of individual diets. This database will be an input file in the Hanford Environmental Dose Reconstruction Integrated Code (HEDRIC) computer model that will be used to calculate the radiation dose. The report focuses on fresh milk, eggs, lettuce, and spinach. These foods were chosen because they have been found to be significant contributors to radiation dose based on the Technical Steering Panel dose decision level.

Anderson, D.M.; Bates, D.J.; Marsh, T.L.

1993-03-01T23:59:59.000Z

345

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

346

Energy Consumption ESPRIMO E7935 E80+  

E-Print Network [OSTI]

joined the "Green Grid" and "Climate Savers Computing" initiatives and publishes SPECpower benchmark (WOL enabled) 4) 96.7 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 348.3 MJ/year Heat Consumption (WOL enabled) 4) 103.6 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 373.0 MJ

Ott, Albrecht

347

Study of Air Infiltration Energy Consumption  

E-Print Network [OSTI]

SYSTEMATIC ERROR DUE TO THE STEADY-STATE COMBINED MODELS 127 SIMULATION AND NUMERICAL RESULTS 141 APPLICATION 150 SUMMARy 157 METHODOLOGy 158 DIFFERENTIAL EQUATION 159 DISCRETIZATION OF THE DIFFERENTIAL EQUATION 161 EXTERNAL NODE EQUATIONS 164... temperature. Clearly, the room heater does not need to heat the air from the outside temperature to the room temperature because it has already captured part of the conduction heat flowing through the wall. To properly estimate house energy consumption...

Liu, Mingsheng

348

HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL...  

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

HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING IN LABORATORY CONDITIONS HEAVY-DUTY TRUCK EMISSIONS AND FUEL CONSUMPTION SIMULATING REAL-WORLD DRIVING...

349

Home, Habits, and Energy: Examining Domestic Interactions and Energy Consumption  

E-Print Network [OSTI]

, habitual, and irrational. Implications for the design of energy-conserving interactions with technology investigate the relationships among "normal" domestic interactions with technology, energy consumptionHome, Habits, and Energy: Examining Domestic Interactions and Energy Consumption James Pierce1

Paulos, Eric

350

Characterizing System Level Energy Consumption in Mobile Computing Platforms  

E-Print Network [OSTI]

1 Characterizing System Level Energy Consumption in Mobile Computing Platforms Cintia B. Margi 1156 High Street Santa Cruz, CA 95064 Abstract--- This paper approaches energy consumption charac­ terization in mobile computing platforms by assessing energy con­ sumption of ''basic'' application

Obraczka, Katia

351

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

real-world thermostat settings and heat energy consumptionto real-world behaviours. The actual energy consumption goesworld data indicates that the houses heated during the night had higher annual heat energy consumption.

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

352

The Analysis and Assessment on Heating Energy Consumption of SAT  

E-Print Network [OSTI]

The article introduced the fuel-energy consumption and outdoor temperatures of three heating terms from year 1999 to 2002 of SAT's fuel-boiler heating system. It demonstrated the relationship between the consumption and the temperatures by using...

Zhang, J.

2006-01-01T23:59:59.000Z

353

Evaluating Texas State University Energy Consumption According to Productivity  

E-Print Network [OSTI]

The Energy Utilization Index, energy consumption per square foot of floor area, is the most commonly used index of building energy consumption. However, a building or facility exists solely to support the activities of its occupants. Floor area...

Carnes, D.; Hunn, B. D.; Jones, J. W.

1998-01-01T23:59:59.000Z

354

The individual contribution of automotive components to vehicle fuel consumption  

E-Print Network [OSTI]

Fuel consumption has grown to become a major point of interest as oil reserves are depleted. The purpose of this study is to determine the key components that cause variation in the instantaneous fuel consumption of vehicles ...

Napier, Parhys L

2011-01-01T23:59:59.000Z

355

2008 Erik Hinterbichler DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR  

E-Print Network [OSTI]

in which HCI can contribute to energy conservation is in interfaces for residential energy consumption on the effects of energy consumption feedback in the home. From this analysis, we created a theoretical framework© 2008 Erik Hinterbichler #12;DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR INTERFACE

Karahalios, Karrie G.

356

FISHERY PRODUCTS SITUATION Consumption of fishery products is ex-  

E-Print Network [OSTI]

. Per -capita sales likely will be near 11.2 pounds--down from 11.4 pounds in 1970. Consumption had beenFISHERY PRODUCTS SITUATION Consumption of fishery products is ex- pected to be off a little in 1971 to attract more imports in 1971 . Since U.S. fish consumption is about 550/0-de- pendent on imports

357

Per Capita Annual Utilization and Consumption of Fish and Shellfish  

E-Print Network [OSTI]

Per Capita Annual Utilization and Consumption of Fish and Shellfish in Hawaii, 1970-77 Table I was 5.82 kg (12.8 pounds). It has been speculated that the per capita consumption of fishery prod- ucts is that the per capita consumption rate in Hawaii for 1977 was about 77 percent higher than the U.S. average

358

Effects of household dynamics on resource consumption and  

E-Print Network [OSTI]

influence per capita consumption7,8 and thus biodiversity through, for example, consumption of wood for fuel, and resultant higher per capita resource con- sumption in smaller households15­19 pose serious challenges on resource consumption and biodiversity Jianguo Liu*, Gretchen C. Daily, Paul R. Ehrlich & Gary W. Luck

Ehrlich, Paul R.

359

A Realistic Power Consumption Model for Wireless Sensor Network Devices  

E-Print Network [OSTI]

. Recent analyses of WSN energy efficiency have been widely based on a sensor node power consumption model1 A Realistic Power Consumption Model for Wireless Sensor Network Devices Qin Wang, Mark Hempstead}@eecs.harvard.edu Abstract-- A realistic power consumption model of wireless communication subsystems typically used in many

Hempstead, Mark

360

On the Interplay of Parallelization, Program Performance, and Energy Consumption  

E-Print Network [OSTI]

to either minimize the total energy consumption or minimize the energy-delay product. The impact of staticOn the Interplay of Parallelization, Program Performance, and Energy Consumption Sangyeun Cho through parallel execution of applications, suppressing the power and energy consumption remains an even

Marchal, Loris

Note: This page contains sample records for the topic "regional end-use consumption" 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

INCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS,  

E-Print Network [OSTI]

respectively. Fish accounted for 66.4% of food biomass (69.4% of total energy consumption); squidINCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS, CALWRHINUS URSINUS MICHAEL A on ter- restrial mammals have specifically shown increased energy consumption by lactating females

362

Energino: a Hardware and Software Solution for Energy Consumption Monitoring  

E-Print Network [OSTI]

Energino: a Hardware and Software Solution for Energy Consumption Monitoring Karina Gomez, Roberto.granelli@disi.unitn.it Abstract--Accurate measurement of energy consumption of practical wireless deployments is vital in the availability of affordable and scalable energy consumption monitoring tools for the research community

Paris-Sud XI, Université de

363

On the Energy Consumption and Performance of Systems Software  

E-Print Network [OSTI]

On the Energy Consumption and Performance of Systems Software Appears in the proceedings of the 4th,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption and performance are necessary to understand and identify system. This paper considers the energy consumption and performance of servers running a relatively simple file

Zadok, Erez

364

Energy Consumption Characteriation of Heterogeneous Servers School of Computer Science  

E-Print Network [OSTI]

Energy Consumption Characteriation of Heterogeneous Servers Xiao Zhang School of Computer Science Machine between servers to save energy. An accurate energy consumption model is the basic of energy management. Most past studies show that energy consumption has linear relation with resource utilization. We

Qin, Xiao

365

Reducing the Energy Consumption of Mobile Applications Behind the Scenes  

E-Print Network [OSTI]

Reducing the Energy Consumption of Mobile Applications Behind the Scenes Young-Woo Kwon and Eli, an increasing number of perfective maintenance tasks are concerned with optimizing energy consumption. However, optimizing a mobile application to reduce its energy consumption is non-trivial due to the highly volatile

Tilevich, Eli

366

Modeling energy consumption in cellular networks L. Decreusefond  

E-Print Network [OSTI]

Modeling energy consumption in cellular networks L. Decreusefond Telecom Paristech, LTCI Paris Abstract--In this paper we present a new analysis of energy consumption in cellular networks. We focus on the distribution of energy consumed by a base station for one isolated cell. We first define the energy consumption

Boyer, Edmond

367

GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS  

E-Print Network [OSTI]

GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS Maha IDRISSI AOUAD.loria.fr/zendra Keywords: Energy consumption reduction, Genetic heuristics, memory allocation management, optimizations on heuristic methods for SPMs careful management in order to reduce memory energy consumption. We propose

Schott, René - Institut de Mathématiques �lie Cartan, Université Henri Poincaré

368

Energy Consumption in Coded Queues for Wireless Information Exchange  

E-Print Network [OSTI]

Energy Consumption in Coded Queues for Wireless Information Exchange Jasper Goseling, Richard J customers. We use this relation to ob- tain bounds on the energy consumption in a wireless information, for example, from the observations in [3] that using network coding can reduce the energy consumption

Boucherie, Richard J.

369

The Impact of Distributed Programming Abstractions on Application Energy Consumption  

E-Print Network [OSTI]

The Impact of Distributed Programming Abstractions on Application Energy Consumption Young-Woo Kwon of their energy consumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energy consumption

Tilevich, Eli

370

Optimization of Energy and Water Consumption in Cornbased Ethanol Plants  

E-Print Network [OSTI]

1 Optimization of Energy and Water Consumption in Corn­based Ethanol Plants Elvis Ahmetovi). First, we review the major alternatives in the optimization of energy consumption and its impact for the water streams. We show that minimizing energy consumption leads to process water networks with minimum

Grossmann, Ignacio E.

371

Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks  

E-Print Network [OSTI]

Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks Shahram}@cs.odu.edu Abstract--This paper investigates the effect of various param- eters of energy consumption. Finding the optimum combination of parameters to minimize energy consumption while satisfying the Qo

Weigle, Michele

372

Automated Analysis of Performance and Energy Consumption for Cloud Applications  

E-Print Network [OSTI]

Automated Analysis of Performance and Energy Consumption for Cloud Applications Feifei Chen, John providers is thus to develop resource provisioning and management solutions at minimum energy consumption system performance and energy consumption patterns in complex cloud systems is imperative to achieve

Schneider, Jean-Guy

373

Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems  

E-Print Network [OSTI]

Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems Maha IDRISSI AOUAD1 , Ren to BEH). Keywords: Energy consumption reduction, Genetic algorithms, hybrid heuristics, memory allocation energy consumption of embedded systems is of great importance. To do so, numerous options to save energy

Schott, René - Institut de Mathématiques �lie Cartan, Université Henri Poincaré

374

On the Energy Consumption and Performance of Systems Software  

E-Print Network [OSTI]

On the Energy Consumption and Performance of Systems Software Zhichao Li, Radu Grosu, Priya Sehgal {zhicli,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption that can balance out performance and energy use. This paper considers the energy consumption

Stoller, Scott

375

Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization  

E-Print Network [OSTI]

Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization Sidharth Nabar energy consumption while limiting the latency in data transfer. In this paper, we focus on polling energy consumption and latency. We show that this problem can be posed as a geometric program, which

Poovendran, Radha

376

Classification of Energy Consumption in Buildings with Outlier Detection  

E-Print Network [OSTI]

. Then a canonical variate analysis is employed to describe latent variables of daily electricity consumption is used to predict the daily electricity consumption profiles. A case study, based on a mixed use consumption data within a buildings energy management system. Electrical peak load forecasting plays

Yao, Xin

377

Getting to Green: Understanding Resource Consumption in the Home  

E-Print Network [OSTI]

energy [19], increasing awareness of resource consumption in the workplace [20] and building homes manage their energy consumption. Next, we outline our methods and findings from a qualitative study of 15 households' current practices around resource consumption and management in a US metropolitan area. We find

Grinter, Rebecca Elizabeth

378

Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments  

E-Print Network [OSTI]

.2% of the overall electricity consumption in the U.S. More alarmingly, if current practices for the designProfiling, Prediction, and Capping of Power Consumption in Consolidated Environments Jeonghwan Choi be able to charac- terize the power consumption of groups of co-located ap- plications

Urgaonkar, Bhuvan

379

Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments  

E-Print Network [OSTI]

- puting platforms (or data centers) accounts for 1.2% of the overall electricity consumption in the UProfiling, Prediction, and Capping of Power Consumption in Consolidated Environments Jeonghwan Choi the power consumption of groups of co-located applications. Such characterization is crucial for effective

Urgaonkar, Bhuvan

380

Electrical energy consumption control apparatuses and electrical energy consumption control methods  

DOE Patents [OSTI]

Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

Hammerstrom, Donald J.

2012-09-04T23:59:59.000Z

Note: This page contains sample records for the topic "regional end-use consumption" 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

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andcan be measured using energy consumption per capita values.

Zhou, Nan

2010-01-01T23:59:59.000Z

382

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network [OSTI]

2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Total Building Energy Consumption (Trillion BTU/yr) Area,

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

383

Cost and Energy Consumption Optimization of Product Manufacture in a Flexible Manufacturing System  

E-Print Network [OSTI]

Selection for Energy Consumption Reduction in Machining,Dornfeld, D. (2011): Energy Consumption Characterization and2011): Unit Process Energy Consumption Models for Material

Diaz, Nancy; Dornfeld, David

2012-01-01T23:59:59.000Z

384

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

ABORATORY Estimating Total Energy Consumption and Emissionscomponent of China’s total energy consumption mix. However,about 19% of China’s total energy consumption, while others

Fridley, David G.

2008-01-01T23:59:59.000Z

385

Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control  

E-Print Network [OSTI]

combination of the total energy consumption and the peakalso reduces the total energy consumption of the occupancyTotal and Peak Energy Consumption Minimization of Building

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

386

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network [OSTI]

the fraction of total energy consumption attributable toFraction of Total Energy Consumption Background Although thewindow fraction of total energy consumption. We believe that

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

387

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network [OSTI]

about half of the total energy consumption from Wii consolescan estimate total national energy consumption due to videoof on mode energy consumption to the total AEC. For most

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

388

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andfor Residential Energy Consumption in China Nan Zhou,

Zhou, Nan

2010-01-01T23:59:59.000Z

389

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network [OSTI]

2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Scale window-related energy consumption to account for new

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

390

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

Estimating Total Energy Consumption and Emissions of China’sof China’s total energy consumption mix. However, accuratelyof China’s total energy consumption, while others estimate

Fridley, David G.

2008-01-01T23:59:59.000Z

391

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

392

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

393

Energy Consumption Scheduling in Smart Grid:A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

394

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network [OSTI]

the total annual energy consumption. The behavior patternsin total residential energy consumption per home, even whenthe variability in energy consumption can vary by factors of

Kelsven, Phillip

2013-01-01T23:59:59.000Z

395

Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector  

E-Print Network [OSTI]

comparison o f energy consumption i n housing (1998) (Trends i n household energy consumption (Jyukankyo Research4) Average (N=2976) Energy consumption [GJ / household-year

2006-01-01T23:59:59.000Z

396

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

397

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

The China Residential Energy Consumption Survey, Human andof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

398

Household activities through various lenses: crossing surveys, diaries and electric consumption  

E-Print Network [OSTI]

comparison between electricity consumption and behavioralU.S. residential electricity consumption” Energy Policy, 42(of the residential electricity consumption. ” Energy Policy,

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

399

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network [OSTI]

estimates of gas and electricity consumption were preparedestimates the gas and electricity consumption in a typicalthat lacked electricity consumption data were discarded for

Kelsven, Phillip

2013-01-01T23:59:59.000Z

400

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7, 199930,ConsumptionSurvey (MECS)

Note: This page contains sample records for the topic "regional end-use consumption" 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

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7, 199930,ConsumptionSurvey

402

US MidAtl NJ Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26,8,CoalThousandIL Site Consumption120MidAtl

403

,"New Hampshire Natural Gas Residential Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbedShaleLNGResidential Consumption

404

Office Buildings - End-Use Equipment  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0Year Jan Feb Mar Apr

405

End-Use Taxes: Current EIA Practices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96Nebraska NuclearDecade Year-08/03)1 Eliminating MTBE in3

406

Biomass Resource Allocation among Competing End Uses  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScienceCareers Apply for aCouldBiofuelHelpBiologyB I I O O m m a a s

407

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

6A. Electricity Expenditures by Census Region for All Buildings, 2003 Total Electricity Expenditures (million dollars) Electricity Expenditures (dollars) per kWh per Square Foot...

408

FISH CONSUMPTION, METHYLMERCURY, AND HUMAN HEART DISEASE.  

SciTech Connect (OSTI)

Environmental mercury continues to be of concern to public health advocates, both in the U.S. and abroad, and new research continues to be published. A recent analysis of potential health benefits of reduced mercury emissions has opened a new area of public health concern: adverse effects on the cardiovascular system, which could account for the bulk of the potential economic benefits. The authors were careful to include caveats about the uncertainties of such impacts, but they cited only a fraction of the applicable health effects literature. That literature includes studies of the potentially harmful ingredient (methylmercury, MeHg) in fish, as well as of a beneficial ingredient, omega-3 fatty acids or ''fish oils''. The U.S. Food and Drug Administration (FDA) recently certified that some of these fat compounds that are primarily found in fish ''may be beneficial in reducing coronary heart disease''. This paper briefly summarizes and categorizes the extensive literature on both adverse and beneficial links between fish consumption and cardiovascular health, which are typically based on studies of selected groups of individuals (cohorts). Such studies tend to comprise the ''gold standard'' of epidemiology, but cohorts tend to exhibit a great deal of variability, in part because of the limited numbers of individuals involved and in part because of interactions with other dietary and lifestyle considerations. Note that eating fish will involve exposure to both the beneficial effects of fatty acids and the potentially harmful effects of contaminants like Hg or PCBs, all of which depend on the type of fish but tend to be correlated within a population. As a group, the cohort studies show that eating fish tends to reduce mortality, especially due to heart disease, for consumption rates up to about twice weekly, above which the benefits tend to level off. A Finnish cohort study showed increased mortality risks in the highest fish-consuming group ({approx}3 times/wk), which had mercury exposures (mean hair content of 3.9 ppm) much higher than those seen in the United States. As an adjunct to this cursory review, we also present some new ''ecological'' analyses based on international statistics on hair Hg, fish consumption, other dietary and lifestyle factors, and selected cardiovascular health endpoints. We searched for consistent differences between primarily fish-consuming nations, like Japan or the Seychelles, and others who traditionally eat much less fish , such as in central Europe, for example. We use data on cigarette sales, smoking prevalence surveys, and national lung cancer mortality rates to control for the effects of smoking on heart disease. These ecological analyses do not find significant adverse associations of either fish consumption or hair Hg with cardiovascular health; instead, there is a consistent trend towards beneficial effects, some of which are statistically significant. However, such ecological studies cannot distinguish differences due to variations in individual rates of fish consumption. We conclude that the extant epidemiological evidence does not support the existence of significant heart disease risks associated with mercury in fish, for the United States. The most prudent advice would continue to be that of maintaining a well-balanced diet, including fish or shellfish at least once per week. There may be additional benefits from fatty fish.

LIPFERT, F.W.; SULLIVAN, T.M.

2005-09-21T23:59:59.000Z

409

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

SciTech Connect (OSTI)

China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

Zhou, Nan; McNeil, Michael A.; Levine, Mark

2009-06-01T23:59:59.000Z

410

Rutgers Regional Report # Regional Report  

E-Print Network [OSTI]

, population, income, and building permits over a 32-year period from 1969 to 2001 for the 31-county Tri counties of the Tri-State (Connecticut, New Jersey, and New York) Region have been divided for analytical the nation and the Tri-State Region. What has not been fully documented, however, is the apparent shift

Garfunkel, Eric

411

Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress  

SciTech Connect (OSTI)

The Energy Policy Act of 2005 (Pub. L. No. 109-58; EPAct 2005) amended the Uniform Time Act of 1966 (Pub. L. No. 89-387) to increase the portion of the year that is subject to Daylight Saving Time. (15 U.S.C. 260a note) EPAct 2005 extended the duration of Daylight Saving Time in the spring by changing its start date from the first Sunday in April to the second Sunday in March, and in the fall by changing its end date from the last Sunday in October to the first Sunday in November. (15 U.S.C. 260a note) EPAct 2005 also called for the Department of Energy to evaluate the impact of Extended Daylight Saving Time on energy consumption in the United States and to submit a report to Congress. (15 U.S.C. 260a note) This report presents the results of impacts of Extended Daylight Saving Time on the national energy consumption in the United States. The key findings are: (1) The total electricity savings of Extended Daylight Saving Time were about 1.3 Tera Watt-hour (TWh). This corresponds to 0.5 percent per each day of Extended Daylight Saving Time, or 0.03 percent of electricity consumption over the year. In reference, the total 2007 electricity consumption in the United States was 3,900 TWh. (2) In terms of national primary energy consumption, the electricity savings translate to a reduction of 17 Trillion Btu (TBtu) over the spring and fall Extended Daylight Saving Time periods, or roughly 0.02 percent of total U.S. energy consumption during 2007 of 101,000 TBtu. (3) During Extended Daylight Saving Time, electricity savings generally occurred over a three- to five-hour period in the evening with small increases in usage during the early-morning hours. On a daily percentage basis, electricity savings were slightly greater during the March (spring) extension of Extended Daylight Saving Time than the November (fall) extension. On a regional basis, some southern portions of the United States exhibited slightly smaller impacts of Extended Daylight Saving Time on energy savings compared to the northern regions, a result possibly due to a small, offsetting increase in household air conditioning usage. (4) Changes in national traffic volume and motor gasoline consumption for passenger vehicles in 2007 were determined to be statistically insignificant and therefore, could not be attributed to Extended Daylight Saving Time.

Belzer, D. B.; Hadley, S. W.; Chin, S-M.

2008-10-01T23:59:59.000Z

412

New methodology for estimating biofuel consumption for cooking: Atmospheric emissions of black carbon and sulfur dioxide from India  

E-Print Network [OSTI]

New methodology for estimating biofuel consumption for cooking: Atmospheric emissions of black; accepted 8 June 2004; published 30 July 2004. [1] The dominance of biofuel combustion emissions in the Indian region, and the inherently large uncertainty in biofuel use estimates based on cooking energy

Dickerson, Russell R.

413

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

SciTech Connect (OSTI)

China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

Zhou, Nan; Nishida, Masaru; Gao, Weijun

2008-12-01T23:59:59.000Z

414

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

E-Print Network [OSTI]

the total primary energy consumption in 2000. Furthermore,The Commercial Primary Energy Consumption by Sector GDP

Zhou, Nan

2008-01-01T23:59:59.000Z

415

Addressing the lack of Baseball Consumption amongst African Americans  

E-Print Network [OSTI]

. This is particularly relevant to African American sport consumption, as Armstrong (2002b) suggests African Americans require a particular set of motivational factors to be present in a sport if they are to consider consumption. The current study will therefore..., it is also important to understand racial identity; for scholars suggest ?racial identification? to be an important factor influencing African American sport consumption (Armstrong 2002a; Armstrong, 2002b; Hanssen, 2001; Liu, Huand, & Minghua, 2007...

Brown, Brandon Leigh

2013-08-06T23:59:59.000Z

416

Strategies for Decreasing Petroleum Consumption in the Federal Fleet (Presentation)  

SciTech Connect (OSTI)

Presentation offers strategies federal agency fleets can use to reduce petroleum consumption and build or gain access to alternative fuel infrastructure.

Putsche, V.

2006-06-01T23:59:59.000Z

417

Fruit and Vegetable Consumption by Low-Income Americans  

E-Print Network [OSTI]

ML, Schillo BA. 5 A Day fruit and vegetable interventionof perceived barriers to fruit and vegetable consumptionKA, Potter JD. Vegetables, fruit, and cancer prevention: a

Sisson, Aimee

2002-01-01T23:59:59.000Z

418

Fossil Fuel-Generated Energy Consumption Reduction for New Federal...  

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

Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Fossil Fuel-Generated Energy...

419

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network [OSTI]

Apr 20, 2011 ... The problem that we focus on, is the minimization of the energy consumption of an electrical vehicle achievable on a given driving cycle.

Abdelkader Merakeb

2011-04-20T23:59:59.000Z

420

Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption...  

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

recently published final fuel consumption standards for heavy vehicles called "vocational" vehicles. A vocational vehicle is generally a single-unit work vehicle over 8,500 lbs...

Note: This page contains sample records for the topic "regional end-use consumption" 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

Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables  

Reports and Publications (EIA)

The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

2008-01-01T23:59:59.000Z

422

Pantex installs new meters to help to reduce energy consumption...  

National Nuclear Security Administration (NNSA)

installs new meters to help to reduce energy consumption | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile...

423

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

come from space heating within homes (Boardman, 2007). If weassociated with heating the home must be an imperative. Theheating and hot water energy consumption of the homes (Zack

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

424

,"New York Natural Gas Lease and Plant Fuel Consumption (MMcf...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Lease and Plant Fuel Consumption (MMcf)",1,"Annual",1998 ,"Release...

425

,"New York Natural Gas Lease Fuel Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Lease Fuel Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","2272015"...

426

Oxygen consumption of bovine granulosa cells in vitro.  

E-Print Network [OSTI]

??The oxygen consumption rate of granulosa cells is considered to be a key determinant of oocyte oxygenation in follicles. The oxygen status of the oocyte… (more)

Li, Dongxing

2012-01-01T23:59:59.000Z

427

Long-term energy consumptions of urban transportation: A prospective...  

Open Energy Info (EERE)

Bangalore can significantly curb the trajectories of energy consumption and the ensuing carbon dioxide emissions, if and only if they are implemented in the framework of...

428

Geothermal Water Use: Life Cycle Water Consumption, Water Resource Assessment, and Water Policy Framework  

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

This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geothermal power generation projects may face. Previous reports in this series quantified the life cycle freshwater requirements of geothermal power-generating systems, explored operational and environmental concerns related to the geochemical composition of geothermal fluids, and assessed future water demand by geothermal power plants according to growth projections for the industry. This report seeks to extend those analyses by including EGS flash, both as part of the life cycle analysis and water resource assessment. A regional water resource assessment based upon the life cycle results is also presented. Finally, the legal framework of water with respect to geothermal resources in the states with active geothermal development is also analyzed.

Schroeder, Jenna N.

429

Geothermal Water Use: Life Cycle Water Consumption, Water Resource Assessment, and Water Policy Framework  

SciTech Connect (OSTI)

This report examines life cycle water consumption for various geothermal technologies to better understand factors that affect water consumption across the life cycle (e.g., power plant cooling, belowground fluid losses) and to assess the potential water challenges that future geothermal power generation projects may face. Previous reports in this series quantified the life cycle freshwater requirements of geothermal power-generating systems, explored operational and environmental concerns related to the geochemical composition of geothermal fluids, and assessed future water demand by geothermal power plants according to growth projections for the industry. This report seeks to extend those analyses by including EGS flash, both as part of the life cycle analysis and water resource assessment. A regional water resource assessment based upon the life cycle results is also presented. Finally, the legal framework of water with respect to geothermal resources in the states with active geothermal development is also analyzed.

Schroeder, Jenna N.

2014-06-10T23:59:59.000Z

430

A work bibliography on native food consumption, demography and lifestyle. Hanford Environmental Dose Reconstruction Project  

SciTech Connect (OSTI)

The purpose of this report is to provide a bibliography for the Native American tribe participants in the Hanford Environmental Dose Reconstruction (HEDR) Project to use. The HEDR Project`s primary objective is to estimate the radiation dose that individuals could have received as a result of emissions since 1944 from the US Department of Energy`s Hanford Site near Richland, Washington. Eight Native American tribes are responsible for estimating daily and seasonal consumption of traditional foods, demography, and other lifestyle factors that could have affected the radiation dose received by tribal members. This report provides a bibliography of recorded accounts that tribal researchers may use to verify their estimates. The bibliographic citations include references to information on the specific tribes, Columbia River plateau ethnobotany, infant feeding practices and milk consumption, nutritional studies and radiation, tribal economic and demographic characteristics (1940--1970), research methods, primary sources from the National Archives, regional archives, libraries, and museums.

Murray, C.E.; Lee, W.J.

1992-12-01T23:59:59.000Z

431

An Energy and Power Consumption Analysis of FPGA Routing Architectures  

E-Print Network [OSTI]

An Energy and Power Consumption Analysis of FPGA Routing Architectures Peter Jamieson, Elec of energy and power consumption using an updated power estimation framework compatible with VPR 5.0. The goal of this research is to help FPGA vendors find the best FPGA architectures. Initially, we make some

Wilton, Steve

432

On Achieving Balanced Power Consumption in Software Pipelined Loops #  

E-Print Network [OSTI]

. The benchmarks are executed on the Wattch power simulator. In comparison to the original (powerOn Achieving Balanced Power Consumption in Software Pipelined Loops # Hongbo Yang Dept of ECE Univ@capsl.udel.edu ABSTRACT While a significant body of work in compilers has been de­ voted to reducing energy consumption

Gao, Guang R.

433

Modular Exponentiation Algorithm Analysis for Energy Consumption and Performance  

E-Print Network [OSTI]

Modular Exponentiation Algorithm Analysis for Energy Consumption and Performance Lin Zhong lzhong of their complexity, parallelism and latency. Insights are found for tradeoff between energy consumption of a tree structure. For example, Figure 1.3 shows to add 5 k-bit integers together in a tree sequence. It

Zhong, Lin

434

Power Consumption Prediction and Power-Aware Packing in Consolidated  

E-Print Network [OSTI]

-term energy consumption within that level and 2) a sustained budget to capture any restrictions on sustainedPower Consumption Prediction and Power-Aware Packing in Consolidated Environments Jeonghwan Choi--Consolidation of workloads has emerged as a key mechanism to dampen the rapidly growing energy expenditure within enterprise

Urgaonkar, Bhuvan

435

Bounds on the Energy Consumption of Computational Andrew Gearhart  

E-Print Network [OSTI]

Bounds on the Energy Consumption of Computational Kernels Andrew Gearhart Electrical Engineering Fall 2014 #12;Bounds on the Energy Consumption of Computational Kernels Copyright 2014 by Andrew Scott, little consideration was given to the potential energy efficiency of algorithms them- selves. A dominant

California at Berkeley, University of

436

Balancing Image Quality and Energy Consumption in Visual Sensor Networks  

E-Print Network [OSTI]

Balancing Image Quality and Energy Consumption in Visual Sensor Networks Kit-Yee Chow, King by hop through the sensor network. To reduce the energy used in transmission, the size of the images studies the tradeoff between image quality and energy consumption. We study the scenario that a number

Tam, Vincent W. L.

437

Characterizing System Level Energy Consumption in Mobile Computing Platforms  

E-Print Network [OSTI]

1 Characterizing System Level Energy Consumption in Mobile Computing Platforms Cintia B. Margi 1156 High Street Santa Cruz, CA 95064 Abstract-- This paper approaches energy consumption charac- terization in mobile computing platforms by assessing energy con- sumption of "basic" application-level tasks

Obraczka, Katia

438

MA STER'S THESIS Optimisation of fresh water consumption  

E-Print Network [OSTI]

MA STER'S THESIS Optimisation of fresh water consumption for Doggy AB using simulation Maja Olsson Göteborg Sweden 2005 #12;Thesis for the Degree of Master of Science Optimisation of fresh water consumption Göteborg 2005 #12;Abstract Doggy AB is the only Swedish producer of tinned pet food. In the food process

Patriksson, Michael

439

Energy consumption testing of innovative refrigerator-freezers  

SciTech Connect (OSTI)

The high ambient temperature of the Canadian Standards Association (CSA) and the AHAM/DOE Refrigerator-Freezer Energy Consumption Standards is intended to compensate for the lack of door openings and other heat loads. Recently published results by Meier and Jansky (1993) indicate labeled consumption overpredicting typical field consumption by 15%. In-house field studies on conventional models showed labeled consumption overpredicting by about 22%. The Refrigerator-Freezer Technology Assessment (RFTA) test was developed to more accurately predict field consumption. This test has ambient temperature and humidity, door openings, and condensation control set at levels intended to typify Canadian household conditions. It also assesses consumption at exactly defined compartment rating temperatures. Ten conventional and energy-efficient production models were laboratory tested. The RFTA results were about 30% lower than labeled. Similarly, the four innovative refrigerator-freezer models, when field tested, also had an average of 30% lower consumption than labeled. Thus, the results of the limited testing suggest that the RFTA test may be a more accurate predictor of field use. Further testing with a larger sample is recommended. Experimental results also indicated that some innovative models could save up to 50% of the energy consumption compared with similar conventional units. The technologies that contributed to this performance included dual compressors, more efficient compressors and fan motors, off-state refrigerant control valve, fuzzy logic control, and thicker insulation. The larger savings were on limited production models, for which additional production engineering is required for full marketability.

Wong, M.T.; Howell, B.T.; Jones, W.R. [Ontario Hydro Technologies, Toronto, Ontario (Canada); Long, D.L. [Statistical Solutions, Mississauga, Ontario (Canada)

1995-12-31T23:59:59.000Z

440

Statistical Mechanics of Money, Income, Debt, and Energy Consumption  

E-Print Network [OSTI]

Statistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented in financial markets. Globally, data analysis of energy consumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

Hill, Wendell T.

Note: This page contains sample records for the topic "regional end-use consumption" 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

Reducing Occupant-Controlled Electricity Consumption in Campus Buildings  

E-Print Network [OSTI]

2010 Reducing Occupant-Controlled Electricity Consumption in Campus Buildings Kill­09 and is expected to spend more than $17.1 million in 2009­10. In an effort to reduce electricity consumption; 1 EXECUTIVE SUMMARY UC Berkeley spent $16.39 million on purchased electricity in 2008

Doudna, Jennifer A.

442

Exposing Datapath Elements to Reduce Microprocessor Energy Consumption  

E-Print Network [OSTI]

to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton Submitted to the Department of ElectricalExposing Datapath Elements to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton B Submitted to the Department of Electrical Engineering and Computer Science in partial ful llment

443

Tuning Fuzzy Logic Controllers for Energy Efficiency Consumption in Buildings  

E-Print Network [OSTI]

- tems 1 Introduction In EU countries, primary energy consumption in build- ings represents about 40Tuning Fuzzy Logic Controllers for Energy Efficiency Consumption in Buildings R. Alcal´a DECSAI 18071 ­ Granada, Spain e-mail: A.Gonzalez@decsai.ugr.es Abstract In EU countries, primary energy consump

Casillas Barranquero, Jorge

444

GreenSlot: Scheduling Energy Consumption in Green Datacenters  

E-Print Network [OSTI]

GreenSlot: Scheduling Energy Consumption in Green Datacenters Íñigo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs

445

Reducing Network Energy Consumption via Sleeping and Rate-Adaptation  

E-Print Network [OSTI]

Reducing Network Energy Consumption via Sleeping and Rate-Adaptation Sergiu Nedevschi Lucian Popa of two forms of power management schemes that reduce the energy consumption of networks. The first the energy consumed when actively processing packets. For real-world traffic workloads and topologies and us

California at Irvine, University of

446

Smoothing the Energy Consumption: Peak Demand Reduction in Smart Grid  

E-Print Network [OSTI]

for autonomous demand side management within one house. The DRS devices are able to sense and control the peak energy consumption or demand. We assume that several appliances within one building access to oneSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang

Li, Xiang-Yang

447

A Study of Individual Household Water Consumption Borg, Edwards, Kimpel A Study of Individual Household Water Consumption  

E-Print Network [OSTI]

's goal is to investigate the weekly per capita indoor water use of three households in Davis, CaliforniaA Study of Individual Household Water Consumption Borg, Edwards, Kimpel A Study of Individual Household Water Consumption Maisie Borg, Orion Edwards & Sarah Kimpel Abstract Over the past several decades

Pasternack, Gregory B.

448

Regional Purchasing  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST3 AÇORIANONews Media » 2014 Regional

449

Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7Table

450

Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS7Table

451

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468

452

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next22468 Next

453

A Glance at China’s Household Consumption  

SciTech Connect (OSTI)

Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide?range social marketing activities to promote energy conservation.

Shui, Bin

2009-10-22T23:59:59.000Z

454

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network [OSTI]

of Central Government Buildings. ” Available at: http://Energy Commission, PIER Building End-Use Energy Efficiencythe total lifecycle of a building such as petroleum and

Fridley, David G.

2008-01-01T23:59:59.000Z

455

,"New Mexico Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold to Electric PowerCoalbedConsumption (MMcf)"

456

,"New Mexico Natural Gas Residential Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold toResidential Consumption (MMcf)"

457

,"New York Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold toResidentialShaleConsumption (MMcf)"

458

,"North Dakota Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice Sold toAnnual",2013Consumption

459

,"Rhode Island Natural Gas Residential Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per Thousand CubicResidential Consumption (MMcf)"

460

,"South Carolina Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per Thousand CubicResidential ConsumptionDeliveries

Note: This page contains sample records for the topic "regional end-use consumption" 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

,"South Dakota Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per Thousand CubicResidentialPrice SoldConsumption

462

,"West Virginia Natural Gas Industrial Consumption (MMcf)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural Gas ExpectedConsumption (MMcf)"

463

RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION  

SciTech Connect (OSTI)

Abundance of energy can be improved both by developing new sources of fuel and by improving efficiency of energy utilization, although we really need to pursue both paths to improve energy accessibility in the future. Currently, 2.7 billion people or 38% of the world s population do not have access to modern cooking fuel and depend on wood or dung and 1.4 billion people or 20% do not have access to electricity. It is estimated that correcting these deficiencies will require an investment of $36 billion dollars annually through 2030. In growing economies, energy use and economic growth are strongly linked, but energy use generally grows at a lower rate due to increased access to modern fuels and adaptation of modern, more efficient technology. Reducing environmental impacts of increased energy consumption such as global warming or regional emissions will require improved technology, renewable fuels, and CO2 reuse or sequestration. The increase in energy utilization will probably result in increased transportation fuel diversity as fuels are shaped by availability of local resources, world trade, and governmental, environmental, and economic policies. The purpose of this paper is to outline some of the recently emerging trends, but not to suggest winners. This paper will focus on liquid transportation fuels, which provide the highest energy density and best match with existing vehicles and infrastructure. Data is taken from a variety of US, European, and other sources without an attempt to normalize or combine the various data sources. Liquid transportation fuels can be derived from conventional hydrocarbon resources (crude oil), unconventional hydrocarbon resources (oil sands or oil shale), and biological feedstocks through a variety of biochemical or thermo chemical processes, or by converting natural gas or coal to liquids.

Bunting, Bruce G [ORNL] [ORNL

2012-01-01T23:59:59.000Z

464

Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.  

SciTech Connect (OSTI)

Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

Wu, M.; Peng, J. (Energy Systems); ( NE)

2011-02-24T23:59:59.000Z

465

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand19952003

466

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand199520032003

467

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional

468

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed Tables A.

469

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed Tables

470

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed

471

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed2003 Detailed

472

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed2003

473

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed20032003

474

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed200320032003

475

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003

476

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed

477

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed2003

478

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed20032003

479

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003

480

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003 Detailed

Note: This page contains sample records for the topic "regional end-use consumption" 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003 Detailed2003

482

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003

483

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003200320032003 Detailed

484

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003200320032003

485

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003200320032003

486

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003200320032003

487

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84

488

Optimization of Water Consumption in Second Generation Bioethanol Plants  

E-Print Network [OSTI]

1 Optimization of Water Consumption in Second Generation Bioethanol Plants Mariano Martína optimization of second generation bioethanol production plants from lignocellulosic switchgrass when using/gal and with no or low water discharge. Keywords: Energy, Biofuels, Alternative fuels, Water, Ethanol

Grossmann, Ignacio E.

489

Reducing 3G energy consumption on mobile devices  

E-Print Network [OSTI]

The 3G wireless interface is a significant contributor to battery drain on mobile devices. This paper describes the design, implementation, and experimental evaluation of methods to reduce the energy consumption of the 3G ...

Deng, Shuo

2012-01-01T23:59:59.000Z

490

Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables  

Broader source: Energy.gov [DOE]

Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

491

Monitoring and optimization of energy consumption of base transceiver stations  

E-Print Network [OSTI]

The growth and development of the mobile phone network has led to an increased demand for energy by the telecommunications sector, with a noticeable impact on the environment. Monitoring of energy consumption is a great tool for understanding how to better manage this consumption and find the best strategy to adopt in order to maximize reduction of unnecessary usage of electricity. This paper reports on a monitoring campaign performed on six Base Transceiver Stations (BSs) located central Italy, with different technology, typology and technical characteristics. The study focuses on monitoring energy consumption and environmental parameters (temperature, noise, and global radiation), linking energy consumption with the load of telephone traffic and with the air conditioning functions used to cool the transmission equipment. Moreover, using experimental data collected, it is shown, with a Monte Carlo simulation based on power saving features, how the BS monitored could save energy.

Spagnuolo, Antonio; Vetromile, Carmela; Formosi, Roberto; Lubritto, Carmine

2015-01-01T23:59:59.000Z

492

Broad Initiatives/Sharp Focus- Cuts Electricity Consumption 15%  

E-Print Network [OSTI]

Analysis of electrical consumption can payout in reduced energy costs. Continuous monitoring of electrical usage coupled with improvements and optimization in system(s) operations can have a favorable impact on annual operating expenditures. Further...

Gialanella, V.

493

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

solar systems and energy efficiency and conservationEnergy Tax Act encouraged homeowners to invest in energy conservation and solarenergy consumption patterns: that some adopters of solar will thereafter become adopters of energy conservation

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

494

,"New York Natural Gas Vehicle Fuel Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"2262015 9:38:10 AM" "Back to Contents","Data 1: New York Natural Gas Vehicle Fuel Consumption (MMcf)" "Sourcekey","NA1570SNY2"...

495

,"New York Natural Gas Vehicle Fuel Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"2262015 9:38:09 AM" "Back to Contents","Data 1: New York Natural Gas Vehicle Fuel Consumption (MMcf)" "Sourcekey","NA1570SNY2"...

496

Smart Meters Help Balance Energy Consumption at Solar Decathlon  

Office of Energy Efficiency and Renewable Energy (EERE)

Clouds, rain, thunderstorms… at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's teams, thanks to smart grid technology that is helping them monitor their energy consumption.

497

Efficiency alone as a solution to increasing energy consumption  

E-Print Network [OSTI]

A statistical analysis was performed to determine the effect of efficiency on the total US energy consumption of automobiles and refrigerators. Review of literature shows that there are many different opinions regarding ...

Haidorfer, Luke

2005-01-01T23:59:59.000Z

498

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

global and country-specific estimates of total energyglobal and country-specific estimates of total energytotal global electricity consumption is about 5,000 TWh 68 , the energy

Park, Won Young

2011-01-01T23:59:59.000Z

499

November 2012 Key Performance Indicator (KPI): Energy Consumption  

E-Print Network [OSTI]

and district heating scheme* data. Year Energy Consumption (KWh) Percentage Change 2005/06 65,916,243 N/A 2006 buildings are connected to the Nottingham District Heating Scheme. This service meets all the heating

Evans, Paul

500

Power Consumption Characterization of a Graphics Processing Unit  

E-Print Network [OSTI]

.......................................................... 1 ENERGY AMBIGUITY OF MODERN GRAPHICS PROCESSORS ................. 2 POWER CONSUMPTIONPower Consumption Characterization of a Graphics Processing Unit A Thesis in STS 402 Presented.....................................................................................................................VI CHAPTER ONE: THE NEED FOR A POWER CHARACTERIZATION............... 1 HISTORY OF GRAPHICS PROCESSORS

Skadron, Kevin