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Note: This page contains sample records for the topic "average household energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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1

Table 5.18. U.S. Average Household and Vehicle Energy Expenditures,  

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. Vehicle Fuel7. U.S.8.

2

EIA - Household Transportation report: Household Vehicles Energy  

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 Import96 4.87CBECS Public Use Data03. U.S. EIA4.Consumption

3

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

4

Competition Helps Kids Learn About Energy and Save Their Households...  

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

Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm...

5

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

Neighborhood Program GETS – Green Energy Training ServicesGJGEI – Green Jobs, Green Energy Initiative CEWO – Cleanincome households. The Green Energy Training Services (GETS)

Zimring, Mark

2012-01-01T23:59:59.000Z

6

Household Vehicles Energy Consumption 1991  

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-1 Appendix A How the

7

Household Vehicles Energy Consumption 1991  

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-1 Appendix A How

8

Household Vehicles Energy Consumption 1991  

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-1 Appendix A How.

9

Household Vehicles Energy Consumption 1991  

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-1 Appendix A

10

Household Vehicles Energy Consumption 1991  

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-1 Appendix A. Vehicle

11

Household Vehicles Energy Consumption 1991  

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-1 Appendix A. Vehicle

12

Household Vehicles Energy Consumption 1991  

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-1 Appendix A. Vehicle

13

Household Vehicles Energy Consumption 1991  

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-1 Appendix A.

14

Household Vehicles Energy Consumption 1991  

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-1 Appendix A.Detailed

15

Household Vehicles Energy Consumption 1994  

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-1 Appendix A.DetailedW

16

Concentration Averaging | Department of Energy  

Office of Environmental Management (EM)

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) "of Energy Power Systems EngineeringDepartmentSmart Grid RFI:Fresno U.S.Energy Order issuedConcentration

17

EIA - Household Transportation report: Household Vehicles Energy 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 AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data03. U.S. EIA4.ConsumptionLatest

18

Average U.S. household to spend $710 less on gasoline during 2015  

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 by9 U.S. EnergyDecade Year-0Average U.S.

19

Average U.S. household to spend $710 less on gasoline during 2015  

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 by9 U.S. EnergyDecade Year-0Average

20

Laser Fusion Energy The High Average Power  

E-Print Network [OSTI]

Laser Fusion Energy and The High Average Power Program John Sethian Naval Research Laboratory Dec for Inertial Fusion Energy with lasers, direct drive targets and solid wall chambers Lasers DPPSL (LLNL) Kr posters Snead Payne #12;Laser(s) Goals 1. Develop technologies that can meet the fusion energy

Note: This page contains sample records for the topic "average household energy" 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

Is dark energy an effect of averaging?  

E-Print Network [OSTI]

The present standard model of cosmology states that the known particles carry only a tiny fraction of total mass and energy of the Universe. Rather, unknown dark matter and dark energy are the dominant contributions to the cosmic energy budget. We review the logic that leads to the postulated dark energy and present an alternative point of view, in which the puzzle may be solved by properly taking into account the influence of cosmic structures on global observables. We illustrate the effect of averaging on the measurement of the Hubble constant.

Nan Li; Marina Seikel; Dominik J. Schwarz

2008-01-22T23:59:59.000Z

22

Survey of Household Energy Use (SHEU)  

E-Print Network [OSTI]

to number of dwellings, dwelling area, energy consumption and energy intensity. The target population. The number of dwellings is expressed in units; energy consumption, in gigajoules (GJ); heated area, in square on the number of dwellings, surface area and energy consumption are rounded to the nearest integer. Consequently

23

Microsoft Word - Household Energy Use CA  

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,InformationU.S. Crude Oil3 1 Short-TermJuly8 1 0 20 40 60

24

Household Vehicles Energy Consumption 1994 - Appendix C  

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-1 Appendix A.DetailedW

25

Household Vehicles Energy Use Cover 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 6330 0 1 0Decade Year-0 Year-1 Appendix

26

Next Generation Household Refrigerator | Department of Energy  

Energy Savers [EERE]

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 Office of Inspector General Office0-72.pdfGeorgeDoesn't32DepartmentWells |ofDepartment of Energy NextAttics andNext

27

Table 5.12. U.S. Average Vehicle-Miles Traveled by Household Composition,  

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 10,037.2 9,758.63,846.302.8Effective0.2.

28

Fact #614: March 15, 2010 Average Age of Household Vehicles | Department of  

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 Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 2011 Report1:Energy 2: March 1, 2010

29

Average U.S. household to spend $710 less on gasoline during 2015  

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 by9 U.S. EnergyDecade Year-0

30

Average U.S. household to spend $710 less on gasoline during 2015  

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 by9 U.S. EnergyDecade Year-0Averagenatural

31

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o0 Average

32

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o0 Average1

33

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o0 Average12

34

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o04 Average

35

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o04 Average5

36

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o049 Average

37

Energy Policy 30 (2002) 815826 Evaluating the health benefits of transitions in household energy  

E-Print Network [OSTI]

Energy Policy 30 (2002) 815­826 Evaluating the health benefits of transitions in household energy School of Public Policy and Energy and Resources Group (ERG), 310 Barrows Hall, University of California in disease from a range of interventions, including changes in energy technology (stove or fuel) and cooking

Kammen, Daniel M.

2002-01-01T23:59:59.000Z

38

average kinetic energy: Topics by E-print Network  

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

energy by kinetic averaging Pierre-Emmanuel Jabin Ecole Normale Sup-Landau energy for two dimensional divergence free fields ap- pearing in the gradient theory of...

39

Using Circuit-Level Power Measurements in Household Energy Management Systems  

E-Print Network [OSTI]

Using Circuit-Level Power Measurements in Household Energy Management Systems Alan Marchiori and Qi,qhan}@mines.edu Abstract The first requirement for any intelligent household energy management system is to be able energy consumption, but re- quires a lot of additional hardware­one meter per device in the home

Han, Qi "Chee"

40

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

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 Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFYID6/OrganizationID8/WebsiteSalinityAverage Jump

Note: This page contains sample records for the topic "average household energy" 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

UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE  

E-Print Network [OSTI]

UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE By © 2013 IBRAHIMA DIALLO Submitted to the graduate degree program in Economics and the Graduate Faculty of the University of Kansas... version of the following dissertation: UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE ________________________________ (Chairperson) William A. Barnett Date...

Diallo, Ibrahima

2013-05-31T23:59:59.000Z

42

averaged energy minimization: Topics by E-print Network  

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

averaged energy minimization First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Averaged Energy...

43

Strategies for Collecting Household Energy Data | 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) "ofEarlyEnergyDepartment of Energy U.S.Improve Emitter4-014 Volume 1, Number 3 In This Issue1Data and

44

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

45

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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,

46

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o0

47

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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. World9, 2014 International PetroleumFuelAnnual Energy* j o04

48

NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households  

SciTech Connect (OSTI)

The New York legislature passed the Green Jobs-Green New York (GJGNY) Act in 2009. Administered by the New York State Energy Research and Development Authority (NYSERDA), GJGNY programs provide New Yorkers with access to free or low-cost energy assessments,1 energy upgrade services,2 low-cost financing, and training for various 'green-collar' careers. Launched in November 2010, GJGNY's residential initiative is notable for its use of novel underwriting criteria to expand access to energy efficiency financing for households seeking to participate in New York's Home Performance with Energy Star (HPwES) program.3 The GJGNY financing program is a valuable test of whether alternatives to credit scores can be used to responsibly expand credit opportunities for households that do not qualify for traditional lending products and, in doing so, enable more households to make energy efficiency upgrades.

Zimring, Mark; Fuller, Merrian

2011-01-24T23:59:59.000Z

49

average energy losses: Topics by E-print Network  

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

average energy losses First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Comparing energy loss...

50

A holographic proof of the averaged null energy condition  

E-Print Network [OSTI]

The averaged null energy conditions (ANEC) states that, along a complete null curve, the negative energy fluctuations of a quantum field must be balanced by positive energy fluctuations. We use the AdS/CFT correspondence to prove the ANEC for a class of strongly coupled conformal field theories in flat spacetime. A violation of the ANEC in the field theory would lead to acausal propagation of signals in the bulk.

William R. Kelly; Aron C. Wall

2014-11-03T23:59:59.000Z

51

Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price  

E-Print Network [OSTI]

final energy prices (though those of monopoly inputs such as transmission and distribution remainReforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams Price Centre for Competition and Regulation and School of Management University of East Anglia, UK

Feigon, Brooke

52

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

Clean Energy Works Oregon Bill Payment History as a ProxyEnergy and Clean Energy Works Oregon (CEWO), also use utility bill repayment history

Zimring, Mark

2012-01-01T23:59:59.000Z

53

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_s residential energy efficiency loan program November 2010-

Zimring, Mark

2012-01-01T23:59:59.000Z

54

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

the residential energy efficiency market is a potentialinstitutions (CDFIs) to market energy improvements. Solve aapproach to energy efficiency market development is

Zimring, Mark

2012-01-01T23:59:59.000Z

55

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

the residential energy efficiency market is a potentialinstitutions (CDFIs) to market energy improvements. Solve acan open significant markets for energy improvements among

Zimring, Mark

2014-01-01T23:59:59.000Z

56

E-Print Network 3.0 - average high energy Sample Search Results  

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

g Energy and power are time averaged and normally spatially... averaged g Relate energy (density) to power (intensity) The Energy Source Simulation Method 12;g... ms...

57

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

NASCSP). 2009. Weatherization Assistance Program Fundingof Energy’s Weatherization Assistance Program with State-2009. National Weatherization Assistance Program Training

Zimring, Mark

2012-01-01T23:59:59.000Z

58

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

Vermont Energy Investment Corporation NYSERDA – New Yorkfor a case study on New York’s energy efficiency programNew York, the New York State Energy Research and Development

Zimring, Mark

2012-01-01T23:59:59.000Z

59

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

energy assessments, title searches, and lien recordings. Theassessments, title searches, and lien recordings. Once INHP

Zimring, Mark

2012-01-01T23:59:59.000Z

60

Wood, energy and households: Perspectives on rural Kenya  

SciTech Connect (OSTI)

This book presents papers on the use of wood fuels in Kenya. Topics considered include domestic energy consumption, historical aspects, the Kenyan economy, ecology, supply and demand, forests, aspects of energy consumption in a pastoral ecosystem, estimation of present and future demand for wood fuels, and energy source development.

Barnes, C.; Ensminger, J.; O'Keefe, P.

1984-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Kingston Creek Hydro Project Powers 100 Households | Department of Energy  

Office of Environmental Management (EM)

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) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7JanuaryWASTE-TO-ENERGY:AboutKimberly

62

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

Cohen (DOE), Todd Conkey (WECC), Neely Crane-Smit (MNCEE),Diamond (LBNL), George Edgar (WECC), Lara Ettenson & team (Assistance Program WECC – Wisconsin Energy Conservation

Zimring, Mark

2012-01-01T23:59:59.000Z

63

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network [OSTI]

HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

64

Special Topics on Energy Use in Household Transportation  

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 Cubic Feet) Decade Year-0DecadeThousand3 0.3Home

65

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis page left

66

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis page

67

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis pageE : C

68

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis pageE :

69

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis pageE :

70

Household Vehicles Energy Use: Latest Data & Trends  

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-1 AppendixThis pageE

71

Appliance Standby Power and Energy Consumption in South African Households  

Open Energy Info (EERE)

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 Office of InspectorConcentrating SolarElectricEnergyCT Biomass Facility JumpvolcanicPhase 1 Jump to:Virginia(West| Open

72

EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

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 Import96 4.87CBECS Public Use Data03. U.S. uraniumForms

73

HOUSEHOLD SOLAR POWER SYSTEM.  

E-Print Network [OSTI]

?? Photovoltaic power has become one of the most popular research area in new energy field. In this report, the case of household solar power… (more)

Jiang, He

2014-01-01T23:59:59.000Z

74

A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption  

SciTech Connect (OSTI)

This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

2014-01-01T23:59:59.000Z

75

Changing Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages and Tobacco  

E-Print Network [OSTI]

in energy consumption. Patterns of Consumption--Historic Trends Electricity & Gas We'll start with historicChanging Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages analysis of consumption patterns of different commodities in the U.S. shed light on the consumption

76

Simulation of household in-home and transportation energy use : an integrated behavioral model for estimating energy consumption at the neighborhood scale  

E-Print Network [OSTI]

Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident ...

Yu, Feifei, S.M. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

77

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM GUILLAUME BAL  

E-Print Network [OSTI]

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM MEDIA GUILLAUME BAL Abstract. We consider the stabilization (self-averaging) and destabilization of the energy of waves propagating in random media transport equations for arbitrary statistical moments of the wave field is used to show that wave energy

Bal, Guillaume

78

Electric Sales, Revenue, and Average Price 2011 - Energy Information  

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 > Voluntary

79

THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD  

E-Print Network [OSTI]

energy-using devices in the average U.S. household that used over 4,700 kWh of electricity, natural gas.46]. The cost of these devices was also statistically significant. Keywords: electricity use; energy efficiency the Canadian Industrial Energy End Use Data and Analysis (CIEEDAC) for their financial support made possible

80

Development of the household sample for furnace and boilerlife-cycle cost analysis  

SciTech Connect (OSTI)

Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

Whitehead, Camilla Dunham; Franco, Victor; Lekov, Alex; Lutz, Jim

2005-05-31T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Energy Efficient Design in MIMO Multicell Systems with Time Average QoS Constraints  

E-Print Network [OSTI]

1 Energy Efficient Design in MIMO Multicell Systems with Time Average QoS Constraints Subhash Abstract--In this work, we address the issue of energy efficient design in a MIMO multi-cell network. Energy efficient design in cellular networks addresses the concerns of ICT related carbon emissions [1

Boyer, Edmond

82

The impact of rising energy prices on household energy consumption and expenditure patterns: The Persian Gulf crisis as a case example  

SciTech Connect (OSTI)

The Iraqi invasion of Kuwait and the subsequent war between Iraq and an international alliance led by the United States triggered immediate increases in world oil prices. Increases in world petroleum prices and in US petroleum imports resulted in higher petroleum prices for US customers. In this report, the effects of the Persian Gulf War and its aftermath are used to demonstrate the potential impacts of petroleum price changes on majority, black, and Hispanic households, as well as on poor and nonpoor households. The analysis is done by using the Minority Energy Assessment Model developed by Argonne National Laboratory for the US Department of Energy (DOE). The differential impacts of these price increases and fluctuations on poor and minority households raise significant issues for a variety of government agencies, including DOE. Although the Persian Gulf crisis is now over and world oil prices have returned to their prewar levels, the differential impacts of rising energy prices on poor and minority households as a result of any future crisis in the world oil market remains a significant long-term issue.

Henderson, L.J. (Baltimore Univ., MD (United States)); Poyer, D.A.; Teotia, A.P.S. (Argonne National Lab., IL (United States). Energy Systems Div.)

1992-09-01T23:59:59.000Z

83

Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance  

E-Print Network [OSTI]

Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance By: David Sellers, Senior Engineer, Portland Energy Conservation Inc, Portland, Oregon ABSTRACT This paper discusses using basic... by contacting the author at: Dsellers@peci.org www.peci.org Phone: - 503-248-4636 extension 224 Mailing address through August 3, 2001 Portland Energy Conservation, Inc. 921 SW Washington Street Suite 312 Portland, Oregon 97205 Mailing address after August 3...

Sellers, D.

2001-01-01T23:59:59.000Z

84

First waste-to-energy power station put into operation in Vietnam has successfully produced electricity from household and industrial waste as a  

E-Print Network [OSTI]

, its average cost per watt would be about half the price of electricity produced by other plants electricity from household and industrial waste as a newly-generated power supply has come online with the national electricity grid. On Wednesday, August 3, the Ho Chi Minh City Urban Environment Management

Columbia University

85

Drivers of U.S. Household Energy Consumption, 1980-2009 - Energy  

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, 2015Year109 AppendixCostsDistributedSep-1410.9

86

Average balance equations, scale dependence, and energy cascade for granular materials  

E-Print Network [OSTI]

A new averaging method linking discrete to continuum variables of granular materials is developed and used to derive average balance equations. Its novelty lies in the choice of the decomposition between mean values and fluctuations of properties which takes into account the effect of gradients. Thanks to a local homogeneity hypothesis, whose validity is discussed, simplified balance equations are obtained. This original approach solves the problem of dependence of some variables on the size of the averaging domain obtained in previous approaches which can lead to huge relative errors (several hundred percentages). It also clearly separates affine and nonaffine fields in the balance equations. The resulting energy cascade picture is discussed, with a particular focus on unidirectional steady and fully developed flows for which it appears that the contact terms are dissipated locally unlike the kinetic terms which contribute to a nonlocal balance. Application of the method is demonstrated in the determination of the macroscopic properties such as volume fraction, velocity, stress, and energy of a simple shear flow, where the discrete results are generated by means of discrete particle simulation.

Riccardo Artoni; Patrick Richard

2015-03-09T23:59:59.000Z

87

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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. Relative Standard Errors for7. Average Prices1.5. Energy9.2.1.

88

NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households  

E-Print Network [OSTI]

Financing Home Energy Upgrades in New York Since 2001, New2009. Administered by the New York State Energy Research andA Diverse Energy Upgrade Platform in New York The new GJGNY

Zimring, Mark

2011-01-01T23:59:59.000Z

89

Energy use of US residential refrigerators and freezers: function derivation based on household and climate characteristics  

E-Print Network [OSTI]

Residential Energy Consumption Survey (RECS), U.S. Energyod for estimating field energy consumption of US residentialconsumption survey—detailed tables. Residential Energy Con- sumption Survey (RECS), U.S.

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

90

Statistical Model Analysis of (n,p) Cross Sections and Average Energy For Fission Neutron Spectrum  

SciTech Connect (OSTI)

Investigation of charged particle emission reaction cross sections for fast neutrons is important to both nuclear reactor technology and the understanding of nuclear reaction mechanisms. In particular, the study of (n,p) cross sections is necessary to estimate radiation damage due to hydrogen production, nuclear heating and transmutations in the structural materials of fission and fusion reactors. On the other hand, it is often necessary in practice to evaluate the neutron cross sections of the nuclides for which no experimental data are available.Because of this, we carried out the systematical analysis of known experimental (n,p) and (n,a) cross sections for fast neutrons and observed a systematical regularity in the wide energy interval of 6-20 MeV and for broad mass range of target nuclei. To explain this effect using the compound, pre-equilibrium and direct reaction mechanisms some formulae were deduced. In this paper, in the framework of the statistical model known experimental (n,p) cross sections averaged over the thermal fission neutron spectrum of U-235 are analyzed. It was shown that the experimental data are satisfactorily described by the statistical model. Also, in the case of (n,p) cross sections the effective average neutron energy for fission spectrum of U-235 was found to be around 3 MeV.

Odsuren, M.; Khuukhenkhuu, G. [Nuclear Research Center, National University of Mongolia, Ulaanbaatar (Mongolia)

2011-06-28T23:59:59.000Z

91

E-Print Network 3.0 - acute household accidental Sample Search...  

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

Evaluating the health benefits of transitions in household energy Summary: ; Household energy; Indoor air pollution; Intervention assessment; Kenya 1. Introduction Acute...

92

Household operational energy consumption in urban China : a multilevel analysis on Jinan  

E-Print Network [OSTI]

With decades of economic growth and socio-economic transformation, China's residential sector has seen rapid expansion in energy consumption, and is now the second largest energy consuming sector in the country. Faced with ...

Wang, Dong, M.C.P. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

93

Accurate Component Model Based Optimal Control for Energy Storage Systems in Households with Photovoltaic Modules  

E-Print Network [OSTI]

a particularly interesting problem with the introduction of dynamic electricity energy pricing models since, comprised of both the energy price component and the demand price component. Due to the characteristics of the realistic electricity price function and the energy storage capacity limitation, the residential storage

Pedram, Massoud

94

Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid  

E-Print Network [OSTI]

Energy Demand in Urban China: Accounting for regional prices and rapid income change Article Type and changing demographics. We estimate income and price elasticities for these energy types using a two effects into account, we find that total energy is price-inelastic for all income groups. For individual

95

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network [OSTI]

Energy Efficiency Potential Study.  Technical Report Energy Efficiency  Potential Study.  Technical Report Energy Efficiency   Renewable Energy Technologies   Transportation   Assessment of Household Carbon Footprint Reduction Potentials is the final report 

Masanet, Eric

2010-01-01T23:59:59.000Z

96

Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements  

SciTech Connect (OSTI)

Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

Derrien, H

2004-05-27T23:59:59.000Z

97

Understanding and Improving Household Energy Consumption and Carbon Emissions Policies - A System Dynamics Approach  

E-Print Network [OSTI]

? scale?. This covers any energy generation that is decentralized. Micro-generation technologies may take the form of solar photovoltaic (PV), micro-wind turbines, micro-hydro or even micro-combined heat and power (CHP). Micro-generation provides energy...

Oladokun, M.; Motawa, I.; Banfill, P.

2012-01-01T23:59:59.000Z

98

Linear Relationship Between Weighted-Average Madelung and Density Functional Theory Energies for MgO Nanotubes  

E-Print Network [OSTI]

Energies for MgO Nanotubes Journal: The Journal of Physical Chemistry Manuscript ID: jp-2012-08041d.R1 Constants and Density Functional Theory Energies for MgO Nanotubes Mark D. Baker,*1 A. David Baker2 , Jane-average Madelung constants of MgO nanotubes correlate in an essentially perfectly linear way with cohesive energies

Hanusa, Christopher

99

Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo-  

E-Print Network [OSTI]

35 Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo- ratory for testing one particularly promising alternative to fossil fuels: solar energy. In contrast to fossil fuels as much energy strikes the earth in the form of solar radiation as is used in a whole year throughout

Maoz, Shahar

100

Control of household refrigerators. Part 2: Alternate control approaches for improving temperature performance and reducing energy use  

SciTech Connect (OSTI)

In Part 1 it was shown that conventional control of household refrigerators is achieved by regulating the distribution of air in the freezer compartment to all other parts of the plant. In Part 2 three alternative approaches to the conventional control of a top-mount refrigerator are presented: variable temperature bandwidths, uncoupled compressor and evaporator fan, and the combination of these two. These allowed the plant to achieve near-ideal control with respect to improved temperature performance in each compartment. Automatic airflow dampers were used with the dual controllers to independently regulate refrigerator compartment temperature. Plant performance was simulated using a model that computes the refrigerant and airflow systems behavior. Together, these alternate configurations and approaches define new control algorithms that reveal the plant's optimal control model for improving performance and energy usage relative to conventional controllers. Results based on model simulations are dependent upon the model's accuracy and validity. However, the model validation studies cited here, though limited in scope, do show agreement between simulation and experimental data for the ambient temperatures and thermal load conditions considered. This suggests that these model results are reasonable, and representative of actual plant behavior under these conditions and configurations for a top-mount style refrigerator plant.

Graviss, K.J.; Collins, R.L.

1999-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Retrofitting the domestic built environment: investigating household perspectives towards energy efficiency technologies and behaviour  

E-Print Network [OSTI]

]. Retrofitting homes is a complex task con- flated by multiple factors, ranging from pure economics to subjective psychology [Dixon & Eames, 2013; Institution of Mechanical Engineers, 2009; Kelly, 2009; Lior, 2010; Stafford et al., 2012]. Such complexity invites... cultural heritage research, and geo-technical soil surveying. Therefore, in order to delimit a more focused scope 3 1. Introduction of research, this thesis specifically investigated improving the uptake of energy ef- ficiency retrofits in the domestic...

Pelenur, Marcos

2014-03-04T23:59:59.000Z

102

Drivers of U.S. Household Energy Consumption, 1980-2009  

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 phasesDataTranslocationDiurnalCommittee Draft Advice9DrillingDriveDrivers

103

Cover Page of Household Vehicles Energy Use: Latest Data & Trends  

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 Mar

104

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

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 ProposedUsingFun withconfinement plasmas inPortalAll NERSCResearchInstitute /HouseA1. U.S.

105

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

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 ProposedUsingFun withconfinement plasmas inPortalAll NERSCResearchInstitute /HouseA1.

106

Household Vehicles Energy Use: Latest Data and Trends - Table A04  

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 ProposedUsingFun withconfinement plasmas inPortalAll NERSCResearchInstitute /HouseA1.A4.

107

Dynamical interpretation of average fission-fragment kinetic energy systematics and nuclear scission  

SciTech Connect (OSTI)

A dynamical interpretation of the well-known systematics for average total kinetic energy of fission fragments over a wide range of the Coulomb parameter (600 on the Coulomb parameter. The results of dynamical calculations of within three-dimensional Langevin dynamics show that the mean distance between the centers of mass of nascent fragments at the scission configuration increases linearly with the parameter Z{sup 2}/A{sup 1/3}. This distance changes approximately from 2.35R{sub 0} for {sup 119}Xe to 2.6R{sub 0} for {sup 256}Fm. In spite of this increase in mean distance between future fragments at scission, the linear dependence of on the parameter Z{sup 2}/A{sup 1/3} remains approximately valid over a wide range of the Coulomb parameter Z{sup 2}/A{sup 1/3}.

Nadtochy, P.N. [GSI, Plankstrasse 1, D-64291 Darmstadt (Germany); Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation); Adeev, G.D. [Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation)

2005-11-01T23:59:59.000Z

108

Abstract--Numerous studies have shown that households' consumption is an important part of the total energy consumed  

E-Print Network [OSTI]

consumption and for about 50% of the total electricity consumption [1]. Therefore it is important to explore one of them. The interviewees preferred receiving electricity consumption feedback from a bill, a web1 Abstract--Numerous studies have shown that households' consumption is an important part

Beigl, Michael

109

E-Print Network 3.0 - average beta energy Sample Search Results  

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

Project Summary: part High-energy part Existing (P. Delahaye) 12;Beta Beams in Beam Intensity and Magnet Cycle... dependent energy change (C. Omet) 12;Beta Beams in...

110

Household magnets  

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 ProposedUsingFun withconfinement plasmas inPortalAll NERSCResearchInstitute

111

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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. Relative Standard Errors for7. Average Prices1.5.

112

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

SciTech Connect (OSTI)

The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

2009-04-15T23:59:59.000Z

113

E-Print Network 3.0 - averaged null energy Sample Search Results  

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

, high density integrated circuits with low energy consumption and low electromagnetic interference (EMI... . In this paper, we propose the use of the NULL Convention Logic...

114

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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 FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.6 54,346.75.1202 Average

115

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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 FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.6 54,346.75.12024 Average5

116

Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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 FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.51 "1. Consumption1.2. Average

117

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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. Relative Standard Errors for Table N8.3;"0. Average Prices

118

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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. Relative Standard Errors for Table N8.3;"0. Average

119

Table 7.1 Average Prices of Purchased Energy Sources, 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: Crude

120

Table 7.2 Average Prices of Purchased Energy Sources, 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: Crude0

Note: This page contains sample records for the topic "average household energy" 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

Table 7.4 Average Prices of Selected Purchased Energy Sources, 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: Crude034

122

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a. Household

123

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a. Household2a.

124

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a. Household2a.3a.

125

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a. Household2a.3a.5a.

126

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a. Household2a.3a.5a.6a.

127

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a.8a. Household

128

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a.8a. Household9a.

129

Household batteries: Evaluation of collection methods  

SciTech Connect (OSTI)

While it is difficult to prove that a specific material is causing contamination in a landfill, tests have been conducted at waste-to-energy facilities that indicate that household batteries contribute significant amounts of heavy metals to both air emissions and ash residue. Hennepin County, MN, used a dual approach for developing and implementing a special household battery collection. Alternative collection methods were examined; test collections were conducted. The second phase examined operating and disposal policy issues. This report describes the results of the grant project, moving from a broad examination of the construction and content of batteries, to a description of the pilot collection programs, and ending with a discussion of variables affecting the cost and operation of a comprehensive battery collection program. Three out-of-state companies (PA, NY) were found that accept spent batteries; difficulties in reclaiming household batteries are discussed.

Seeberger, D.A.

1992-01-01T23:59:59.000Z

130

Household batteries: Evaluation of collection methods  

SciTech Connect (OSTI)

While it is difficult to prove that a specific material is causing contamination in a landfill, tests have been conducted at waste-to-energy facilities that indicate that household batteries contribute significant amounts of heavy metals to both air emissions and ash residue. Hennepin County, MN, used a dual approach for developing and implementing a special household battery collection. Alternative collection methods were examined; test collections were conducted. The second phase examined operating and disposal policy issues. This report describes the results of the grant project, moving from a broad examination of the construction and content of batteries, to a description of the pilot collection programs, and ending with a discussion of variables affecting the cost and operation of a comprehensive battery collection program. Three out-of-state companies (PA, NY) were found that accept spent batteries; difficulties in reclaiming household batteries are discussed.

Seeberger, D.A.

1992-12-31T23:59:59.000Z

131

Non-CFC vacuum alternatives for the energy-efficient insulation of household refrigerators: Design and use  

SciTech Connect (OSTI)

Energy efficiency, environmental issues, and market incentives all encourage government and industry to continue work on thin-profile vacuum insulations for domestic refrigerators and freezers (R/Fs). Vacuum insulations promise significant improvement in thermal savings over current insulations; the technical objective of one design is an R-value of better than 10 (hr-ft{sup 2}-F/Btu) in 0.1 in. thickness. If performance is improved by a factor of 10 over that of CFC-blown insulating foams, the new insulations (made without CFCs or other potentially troublesome fill gases) will change the design and improve the efficiency of refrigerators. Such changes will meet the conservation, regulatory, and market drivers now strong in developed countries and likely to increase in developing countries. Prototypes of various designs have been tested in the laboratory and in factories, and results to date confirm the good thermal performance of these thin-profile alternatives. The next step is to resolve issues of reliability and cost effectiveness. 34 refs., 4 figs.

Potter, T.F.; Benson, D.K.

1991-01-01T23:59:59.000Z

132

Entracker: Energy Tracker for Homes Sunil Mallya  

E-Print Network [OSTI]

. The stats from Office of Energy Efficiency and Renewable Energy indicate that an average household in the US by identifying both individual and aggregate energy usage patterns. Even a 10% reduction in electricity usageEntracker: Energy Tracker for Homes Sunil Mallya Department of Computer Science Brown University

Fonseca, Rodrigo

133

Deep cuts in household greenhouse gas emissions Andrew Blakers  

E-Print Network [OSTI]

Deep cuts in household greenhouse gas emissions Andrew Blakers Director, Centre for Sustainable Energy Systems Australian National University Ph 61 2 6125 5905 Andrew.blakers@anu.edu.au Web: http

134

Household Vehicles Energy Consumption 1991  

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 Review W ith prices reachingThisHistorical1

135

Household Vehicles Energy Consumption 1991  

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 Review W ith prices reachingThisHistorical1B

136

Household Vehicles Energy Consumption 1991  

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 Review W ith prices reachingThisHistorical1B1.

137

Taming the Energy Hog in Cloud Infrastructure  

E-Print Network [OSTI]

energy consumption consumed 61 Billion kWh in 2006, enough to power 5.8 Million average US households constrained #12;Energy Expenditure of The Cloud The IT industry is on fire! constitutes about 2% of total USTaming the Energy Hog in Cloud Infrastructure Jie Liu Microsoft Research liuj@microsoft.com RTSS

Hunt, Galen

138

Effect of Income on Appliances in U.S. Households, The  

Reports and Publications (EIA)

Entails how people live, the factors that cause the most differences in home lifestyle, including energy use in geographic location, socioeconomics and household income.

2004-01-01T23:59:59.000Z

139

Prediction of average. beta. and. gamma. energies and probabilities of. beta. -delayed neutron emission in the region of fission products  

SciTech Connect (OSTI)

Mean {beta} and {gamma} energies and probabilities of {beta}-delayed neutron emission (P{sub n}) in the region of fission products are calculated using a proton-neutron quasiparticle random-phase approximation nuclear model. {beta}-decay properties of these nuclides are essential input parameters for decay heat calculations for nuclear reactors. The results are compared with recent measurements. Mean energies and the P{sub n} values of {approximately}150 experimentally unknown short-lived isotopes are predicted.

Hirsch, M.; Staudt, A.; Klapdor-Kleingrothaus, H.V. (Max-Planck-Inst. fuer Kernphysik, Heidelberg (Germany))

1992-07-01T23:59:59.000Z

140

Changing household behaviors to curb climate change: How hard can it be? Shahzeen Z. Attaria,1  

E-Print Network [OSTI]

efforts to reduce household energy consumption. As part of a recent national survey on public perceptions: E-mail: shahzeen.attari@gmail.com #12;The residential sector contributes over 20% of energy reduce household energy consumption by nearly 30%. Examples include tuning up the car twice a year

Attari, Shahzeen Z.

Note: This page contains sample records for the topic "average household energy" 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

Geometrical Scaling and the Dependence of the Average Transverse Momentum on the Multiplicity and Energy for the ALICE Experiment  

E-Print Network [OSTI]

We review the recent ALICE data on charged particle multiplicity in p-p collisions, and show that it exhibits Geometrical Scaling (GS) with energy dependence given with characteristic exponent $\\lambda=0.22$. Next, starting from the GS hypothesis and using results of the Color Glass Condensate effective theory, we calculate $$ as a function $N_{\\rm ch}$ including dependence on the scattering energy $W$. We show that $$ both in p-p and p-Pb collisions scales in terms of scaling variable $(W/W_{0})^{\\lambda/(2+\\lambda)}% \\sqrt{N_{\\mathrm{ch}}/S_{\\bot}}$ where $S_{\\bot}$ is multiplicity dependent interaction area in the transverse plane. Furthermore, we discuss how the behavior of the interaction radius $R$ at large multiplicities affects the mean $p_{\\mathrm{T}}$ dependence on $N_{\\rm ch}$, and make a prediction that $$ at high multiplicity should reach an energy independent limit.

Larry McLerran; Michal Praszalowicz

2014-12-22T23:59:59.000Z

142

homeoffice_household2001.pdf  

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

2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

143

Energy Information Administration - Energy Efficiency, energy...  

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

Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and...

144

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

145

Predicting household occupancy for smart heating control: A comparative performance analysis of  

E-Print Network [OSTI]

, occupancy prediction, smart heating, energy management, smart home, energy efficiency Corresponding author.e. the household having too low a temperature when the residents come back home ­ triggering the heatingPredicting household occupancy for smart heating control: A comparative performance analysis

146

Improving Device-level Electricity Consumption Breakdowns in Private Households Using ON/OFF Events  

E-Print Network [OSTI]

recommen- dations on how to reduce the overall energy consumption of the household. In this paper, we build Descriptors H.4 [Information Systems Applications]: Miscellaneous 1. INTRODUCTION The energy sectorImproving Device-level Electricity Consumption Breakdowns in Private Households Using ON/OFF Events

147

Household equipment of Canadians -- features of the 1993 stock and the 1994 and 1995 purchases: Analysis report  

SciTech Connect (OSTI)

This report reviews the results of three surveys that collected information on household equipment: The 1994 and 1995 Household Equipment Surveys and the 1993 Survey of Household Energy Use. The goal of the report is to highlight the features of energy-consuming equipment bought by Canadian households in 1994 and 1995 in comparison to those owned by households in 1993. Results are presented by type of equipment: Refrigerators, stoves, dishwashers, freezers, automatic washers, automatic dryers, air conditioning systems, heating systems, and water heaters. Appendices include information on survey methodology and a copy of the survey questionnaire.

Not Available

1997-01-01T23:59:59.000Z

148

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect (OSTI)

A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

149

Sectoral trends in global energy use and greenhouse gas emissions  

E-Print Network [OSTI]

and rural homes exhibit very different energy intensitieshigher demand for energy services than do rural households.that rural households will have a useful energy demand for

2006-01-01T23:59:59.000Z

150

Survey of Canadian new household equipment purchases, 1994 and 1995: Statistical report  

SciTech Connect (OSTI)

This report reviews results of two surveys that collected information on household equipment: The 1994 and 1995 Household Equipment Surveys. The goal of this report is to present the features of energy-consuming equipment bought by Canadian households in 1994 and 1995. Data on equipment features are presented by type of equipment: Refrigerators, ranges, dishwashers, freezers, washers, dryers, air conditioners, heating systems, and water heaters. The appendix contains information on survey methodology and a copy of the survey questionnaire.

Not Available

1997-01-01T23:59:59.000Z

151

Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines Greenhouse Gas Benefits of Urban  

E-Print Network [OSTI]

Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines that were used to derive average household carbon footprints (HCF) for U.S. zip codes, cities, counties, and metropolitan areas. We find consistently lower HCF in urban core cities (40 tCO2e) and higher carbon footprints

Kammen, Daniel M.

152

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

E-Print Network [OSTI]

$/household 10e3 Site Energy Prices Electricity ElectricityAverage electricity price Average household disposableAverage price of electricity Average household disposable

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

153

www.postersession.com In recent years, energy efficiency has become one of the  

E-Print Network [OSTI]

, the R-21 Polyisocyanurate insulation produced the least amount of energy consumption with a total of energy consumption with a total of $4892.18, consuming a total of 45.16 kWh/year. Even though the weather can have a great impact in the energy consumption of the average household, the extra investment

Hutcheon, James M.

154

Who Is Buying PEVS in California? Exploring Household and Usage  

E-Print Network [OSTI]

in single family House · 96% own their house ­ 1% rent in SD ­ 5% rent in other areas · 42% have solar% Lease it · 60% Lease a Volt but N=25 · 9.1% of LEAF owner have another Nissan #12;8/3/2012 7 Household% of the vehicles are used by single driver. 17 Using the Vehicle · 72% buy the LEAF and 28% Lease it · Average

California at Davis, University of

155

Try This: Household Magnets  

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 May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatusButlerTransportation

156

The effects of cash cropping on household expediture patterns in rural Kenya  

E-Print Network [OSTI]

of the hypotheses tested from the general problem statement is in order. The first hypothesis tested was that the average total expenditure for both commercial and send. -subsistence households are the same. Given that total expenditures are regarded as a proxy.... , University of Zambia at Lusaka Chairman of Advisory Committee: Dr. Carl E. Shafer The aims of the study are to determine significant differences in the patterns and levels of expenditure by semi-subsistence and commercial farm households in rural Kenya...

George, Fred Ken

1986-01-01T23:59:59.000Z

157

Abrahamse, W., L. Steg, et al. (2005). "A review of intervention studies aimed at household energy conservation." Journal of Environmental Psychology 25(3): 273-291.  

E-Print Network [OSTI]

. Frostell (2007). "Social sustainability and social acceptance in technology assessment: A case study of institutional and social conditions in realizing wind power projects." Renewable and Sustainable Energy Reviews

158

Madelung Fluid Model for The Most Likely Wave Function of a Single Free Particle in Two Dimensional Space with a Given Average Energy  

E-Print Network [OSTI]

We consider spatially two dimensional Madelung fluid whose irrotational motion reduces into the Schr\\"odinger equation for a single free particle. In this respect, we regard the former as a direct generalization of the latter, allowing a rotational quantum flow. We then ask for the most likely wave function possessing a given average energy by maximizing the Shannon information entropy over the quantum probability density. We show that there exists a class of solutions in which the wave function is self-trapped, rotationally symmetric, spatially localized with finite support, and spinning around its center, yet stationary. The stationarity comes from the balance between the attractive quantum force field of a trapping quantum potential generated by quantum probability density and the repulsive centrifugal force of a rotating velocity vector field. We further show that there is a limiting case where the wave function is non-spinning and yet still stationary. This special state turns out to be the lowest stationary state of the ordinary Schr\\"odinger equation for a particle in a cylindrical tube classical potential.

Agung Budiyono; Ken Umeno

2009-02-23T23:59:59.000Z

159

Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China  

E-Print Network [OSTI]

in the next 20-30 years as China builds large quantity ofof power generation in China from 0.230 in 2003 to 0.164 kgHousehold Appliances in China Jiang Lin Environmental Energy

Lin, Jiang

2006-01-01T23:59:59.000Z

160

Households  

E-Print Network [OSTI]

Families in early Ptolemaic Egypt. In The Hellenistic world:granary models, and domestic economy in ancient Egypt. InThe archaeology and art of ancient Egypt: Essays in Honor of

Moreno Garcia, Juan Carlos

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network [OSTI]

of  American household carbon footprint. ” Ecological and  limitations) of carbon footprint estimates toward of the art in carbon footprint analyses for California, 

Masanet, Eric

2010-01-01T23:59:59.000Z

162

Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012  

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 Rank EERE:YearRound-Up fromDepartmentTie Ltd: ScopeDepartment ofEnergyBeowawe7:forOFFICEFebruary9,19,

163

China Energy Group - Sustainable Growth Through Energy Efficiency  

E-Print Network [OSTI]

the health impacts of rural household energy use. Industry—Consumption Survey • Rural Household Energy • Commercial andrural residents and accounts for 5% of the national total. Public sector energy

2006-01-01T23:59:59.000Z

164

Social Norms and Energy Conservation  

E-Print Network [OSTI]

This paper evaluates a pilot program run by a company called OPOWER, previously known as Positive Energy, to mail home energy reports to residential utility consumers. The reports compare a household’s energy use to that ...

Allcott, Hunt

165

Household Response To Dynamic Pricing Of Electricity: A Survey...  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

166

DOE Average Results  

Office of Environmental Management (EM)

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) "of EnergyEnergy Cooperation |South42.2Consolidated Edison5 by ISAService Contracts, and More |Appoints Three

167

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

168

Household gasoline demand in the United States  

E-Print Network [OSTI]

Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

Schmalensee, Richard

1995-01-01T23:59:59.000Z

169

Nevada: Kingston Creek Hydro Project Powers 100 Households  

Broader source: Energy.gov [DOE]

Hydropower project produces enough electricity to annually power nearly 100 typical American households.

170

Average Commercial Price  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA (Barrels per9.40 8.95

171

Average Residential Price  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA (Barrels per9.40

172

Average Commercial Price  

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 CostsLiquidsYearReserves (Billion5: Oil and GasThis0.06

173

Average Commercial Price  

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 CostsLiquidsYearReserves (Billion5: Oil and

174

Average Commercial Price  

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 CostsLiquidsYearReserves (Billion5: Oil andCitygate Price

175

Average Residential Price  

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 CostsLiquidsYearReserves (Billion5: Oil andCitygate

176

Average Residential Price  

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 CostsLiquidsYearReserves (Billion5: Oil

177

Average Residential Price  

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 CostsLiquidsYearReserves (Billion5: OilCitygate Price

178

Average Residential Price  

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 CostsLiquidsYearReserves (Billion5: OilCitygate Price

179

Average Commercial Price  

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 (Million CubicDecadeBaseper1 A Look

180

Average Residential Price  

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 (Million CubicDecadeBaseper1 A Look7.56

Note: This page contains sample records for the topic "average household energy" 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

Average Commercial Price  

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 633 622 566 8021 1 2 22008662 564 1,146 1,338 1,131 A

182

As technology advances, the need for electricity increases, and as a result, more energy is being consumed on a daily basis. Consequently, the strain on energy and economic resources becomes more evident. Currently, the average energy consumer can see his  

E-Print Network [OSTI]

, Branton Horsley PowWow Energy Groups Users and companies will be able to create a sense of community amongOverview As technology advances, the need for electricity increases, and as a result, more energy is being consumed on a daily basis. Consequently, the strain on energy and economic resources becomes more

Liebling, Michael

183

Mitigating Carbon Emissions: the Potential of Improving Efficiencyof Household Appliances in China  

SciTech Connect (OSTI)

China is already the second's largest energy consumer in the world after the United States, and its demand for energy is expected to continue to grow rapidly in the foreseeable future, due to its fast economic growth and its low level of energy use per capita. From 2001 to 2005, the growth rate of energy consumption in China has exceeded the growth rate of its economy (NBS, 2006), raising serious concerns about the consequences of such energy use on local environment and global climate. It is widely expected that China is likely to overtake the US in energy consumption and greenhouse gas (GHG) emissions during the first half of the 21st century. Therefore, there is considerable interest in the international community in searching for options that may help China slow down its growth in energy consumption and GHG emissions through improving energy efficiency and adopting more environmentally friendly fuel supplies such as renewable energy. This study examines the energy saving potential of three major residential energy end uses: household refrigeration, air-conditioning, and water heating. China is already the largest consumer market in the world for household appliances, and increasingly the global production base for consumer appliances. Sales of household refrigerators, room air-conditioners, and water heaters are growing rapidly due to rising incomes and booming housing market. At the same time, the energy use of Chinese appliances is relatively inefficient compared to similar products in the developed economies. Therefore, the potential for energy savings through improving appliance efficiency is substantial. This study focuses particularly on the impact of more stringent energy efficiency standards for household appliances, given that such policies are found to be very effective in improving the efficiency of household appliances, and are well established both in China and around world (CLASP, 2006).

Lin, Jiang

2006-07-10T23:59:59.000Z

184

HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS  

E-Print Network [OSTI]

the dynamic variation in wholesale energy costs. This can be accomplished by letting retail prices varyHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS Ahmad Faruqui and Sanem Sergici1 November 13, 2008 Since the energy crisis disrupted markets

185

Journal: Ecological Applications1 Carbon, nitrogen, and phosphorus fluxes in household ecosystems in the3  

E-Print Network [OSTI]

with several29 components of household activities including air and motor vehicle travel, food consumption,30 home energy use, landscape, pets, and paper and plastic use for 360 owner-occupied, stand-alone31 vehicle transportation, together with home energy use, accounted for 85% of total C33 consumption

Minnesota, University of

186

Predicting household occupancy for smart heating control: A comparative performance analysis of  

E-Print Network [OSTI]

, energy management, smart home, energy efficiency, thermostat strategy, heating setback Corresponding, a heating control system may require some time to heat a home to a comfortable temperature after itsPredicting household occupancy for smart heating control: A comparative performance analysis

187

Energy Efficiency Indicators Methodology Booklet  

E-Print Network [OSTI]

have a direct impact on rural energy consumption. Evidently,of urbanization and energy use in rural and urban householdsa higher demand for energy services than rural households.

Sathaye, Jayant

2010-01-01T23:59:59.000Z

188

Enhanced naphthenic refrigeration oils for household refrigerator systems  

SciTech Connect (OSTI)

Due to industry concerns about the successful employment of hydrofluorocarbon-immiscible hydrocarbon oils in refrigeration systems, enhanced naphthenic refrigeration oils have been developed. These products have been designed to be more dispersible with hydrofluorocarbon (HFC) refrigerants, such as R-134a, in order to facilitate lubricant return to the compressor and to ensure proper energy efficiency of the system. Bench tests and system performance evaluations indicate the feasibility of these oils for use in household refrigeration applications. Results of these evaluations are compared with those obtained with polyol esters and typical naphthenic mineral oils employed in chlorofluorocarbon (CFC) and hydrochlorofluorocarbon (HCFC) refrigeration applications.

Reyes-Gavilan, J.L.; Flak, G.T.; Tritcak, T.R. [Witco Corp., Oakland, NJ (United States); Barbour, C.B. [Americold, Cullman, AL (United States)

1997-12-31T23:59:59.000Z

189

California Household Transportation Survey - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

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 Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais3: Crystalline RockCaldera2CaliforniaCalifornia Household

190

April, 27, 2010 Forms of Energy  

E-Print Network [OSTI]

. With a solar insolation of 1,700 kWh/m²/yr an average household needs 8 to 10 square meters of solar panels Coal Methane Nuclear Oil Renewable Wind Solar Hydro Ethanol?? #12;#12;Carbon Based Energy Coal.77 2.99 0.55 0.89 1.27 #12;R e n e w a b l e s Wind, Solar, Hydro, Geothermal #12;Wind Turbines Cradle

Toohey, Darin W.

191

Ris-R-1297 (DA) Fordelingsvirkninger af energi-og miljaf-  

E-Print Network [OSTI]

on households in Denmark in the form of taxes on energy use of all kinds, water consumption and waste production are illustrated using household consumption survey data and data covering household expenditures on energy on household consumption of energy and other polluting activities. Indirect effect is calculated to include

192

China Energy and Emissions Paths to 2030  

E-Print Network [OSTI]

to consume more energy than rural households, particularlym2) Residential: Rural Residential: Urban Macro-level EnergykWh per day. Rural household other end-use energy intensity

Fridley, David

2012-01-01T23:59:59.000Z

193

Transferring 2001 National Household Travel Survey  

SciTech Connect (OSTI)

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01T23:59:59.000Z

194

Essays on household decision making in developing countries  

E-Print Network [OSTI]

This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

Berry, James W. (James Wesley)

2009-01-01T23:59:59.000Z

195

Traits Affecting Household Livestock Marketing Decisions in Rural Kenya  

E-Print Network [OSTI]

Traits Affecting Household Livestock Marketing Decisions in Rural Kenya Katherine L. Baldwin community of Central Kenya, we regressed household offtake rate of both cattle and smallstock against in Kenya. Because pastoralist economies depend almost exclusively upon livestock production, most recent

196

Household Water Quality Home Water Quality Problems  

E-Print Network [OSTI]

in water heater. Scale buildup in pipes and re duced water flow. Hard water due to calcium and magnesiumHousehold Water Quality Home Water Quality Problems­ Causes and Treatments Blake Ross, Extension Many areas have water containing impurities from natural or artificial sources. These impurities may

Liskiewicz, Maciej

197

Characteristics RSE Column Factor: Households with Children Households Without Children  

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 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model1. U.S.

198

Control of household refrigerators. Part 1: Modeling temperature control performance  

SciTech Connect (OSTI)

Commercial household refrigerators use simple, cost-effective, temperature controllers to obtain acceptable control. A manually adjusted airflow damper regulates the freezer compartment temperature while a thermostat controls operation of the compressor and evaporator fan to regulate refrigerator compartment temperature. Dual compartment temperature control can be achieved with automatic airflow dampers that function independently of the compressor and evaporator fan thermostat, resulting in improved temperature control quality and energy consumption. Under dual control, freezer temperature is controlled by the thermostat while the damper controls refrigerator temperature by regulating airflow circulation. A simulation model is presented that analyzes a household refrigerator configured with a conventional thermostat and both manual and automatic dampers. The model provides a new paradigm for investigating refrigerator systems and temperature control performance relative to the extensive verification testing that is typically done by manufacturers. The effects of each type of control and damper configuration are compared with respect to energy usage, control quality, and ambient temperature shift criteria. The results indicate that the appropriate control configuration can have significant effects and can improve plant performance.

Graviss, K.J.; Collins, R.L.

1999-07-01T23:59:59.000Z

199

Design and Control of Household CHP Fuel Cell System  

E-Print Network [OSTI]

Design and Control of Household CHP Fuel Cell System PhD. project Dissertation Anders Risum and Control of Household CHP Fuel Cell System" Anders R. Korsgaard, M.Sc. Mechanical Engineering, e-mail: ark for micro combined heat and power (CHP) systems for local households. Several components in the PEM fuel

Berning, Torsten

200

Poverty and Productivity in Female-Headed Households in Zimbabwe  

E-Print Network [OSTI]

A household survey conducted in rural Zimbabwe in 2001 is used to compare the position of de facto and de jure female-headed households to those with a male head. These households are characterised by different forms of poverty that impinge...

Horrell, Sara; Krishnan, Pramila

Note: This page contains sample records for the topic "average household energy" 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

The changing character of household waste in the Czech Republic between 1999 and 2009 as a function of home heating methods  

SciTech Connect (OSTI)

Highlights: • The character of household waste in the three different types of households were assesed. • The quantity, density and composition of household waste were determined. • The physicochemical characteristics were determined. • The changing character of household waste during past 10 years was described. • The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories – urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in rural households. Because knowledge about the properties of household waste, as well as its physicochemical characteristics, is very important not only for future waste management, but also for the prediction of the behaviour and influence of the waste on the environment as the country continues to streamline its legislation to the European Union’s solid waste mandates, the results of these studies were employed by the Czech Ministry of Environment to optimise the national waste management strategy.

Doležalová, Markéta, E-mail: mdolezalova@email.cz [Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, 128 01 Prague 2 (Czech Republic); Benešová, Libuše [Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, 128 01 Prague 2 (Czech Republic); Závodská, Anita [School of Adult and Continuing Education, Barry University, 8001 SW 36th Street, Suite #1, Davie, FL 33328 (United States)

2013-09-15T23:59:59.000Z

202

Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program  

SciTech Connect (OSTI)

Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As one of HPwES's local sponsors, Austin Energy's HPwES program offers a complete home energy analysis and a list of recommendations for efficiency improvements, along with cost estimates. To determine the benefits of this program, the National Renewable Energy Laboratory (NREL) collaborated with the Pacific Northwest National Laboratory (PNNL) to conduct a statistical analysis using energy consumption data of HPwES homes provided by Austin Energy. This report provides preliminary estimates of average savings per home from the HPwES Loan Program for the period 1998 through 2006. The results from this preliminary analysis suggest that the HPwES program sponsored by Austin Energy had a very significant impact on reducing average cooling electricity for participating households. Overall, average savings were in the range of 25%-35%, and appear to be robust under various criteria for the number of households included in the analysis.

Belzer, D.; Mosey, G.; Plympton, P.; Dagher, L.

2007-07-01T23:59:59.000Z

203

Averaging Hypotheses in Newtonian Cosmology  

E-Print Network [OSTI]

Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

T. Buchert

1995-12-20T23:59:59.000Z

204

E-Print Network 3.0 - assessing household solid Sample Search...  

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

of Groundwater Contamination from Household Wastewater... 12;Glossary Household Wastewater Treatment These terms may help you make more accurate assessments......

205

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F Oc

206

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F Oc0a.

207

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F

208

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F2a. Air

209

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F2a.

210

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM F2a.2a.

211

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM

212

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM4a. Air

213

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM4a.

214

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14) MonthlyM4a.6a.

215

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)

216

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a. Air

217

ac_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a. Air9a. Air

218

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a. Air9a.

219

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a. Air9a.0a.

220

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a. Air9a.0a.1a.

Note: This page contains sample records for the topic "average household energy" 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

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.

222

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a. Appliances

223

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a.

224

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a.3a.

225

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a.3a.4a.

226

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a.3a.4a.5a.

227

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33 Table14)8a.a.3a.4a.5a.6a.

228

appl_household2001.pdf  

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 CostsLiquids Reserve Class No33

229

appl_household2001.pdf  

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 CostsLiquids Reserve Class No338a. Appliances by

230

appl_household2001.pdf  

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 CostsLiquids Reserve Class No338a. Appliances by9a.

231

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a. AppliancesAugust

232

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a. AppliancesAugust0a.

233

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a. AppliancesAugust0a.1a.

234

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.

235

char_household2001.pdf  

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 CostsLiquids Reserve Class No338a.a.

236

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980 Summary

237

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980 Summary0a. Home

238

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980 Summary0a.

239

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980 Summary0a.2a.

240

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980 Summary0a.2a.a.

Note: This page contains sample records for the topic "average household energy" 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

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage019980

242

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage0199803a. Home Office

243

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage0199803a. Home

244

homeoffice_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage0199803a. Home9a. Home

245

housingunit_household2001.pdf  

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 CostsLiquids Reserve Class3a. Usage0199803a. Home9a.

246

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988, TotalTotal( (

247

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988, TotalTotal( (1a.

248

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988, TotalTotal(

249

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988, TotalTotal(2a.

250

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988, TotalTotal(2a.3a.

251

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988,

252

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988,5a. Space Heating

253

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988,5a. Space

254

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988,5a. Space8a. Space

255

spaceheat_household2001.pdf  

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 CostsLiquids Reserve Class3a.86, 19988,5a. Space8a.

256

usage_household2001.pdf  

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 CostsLiquids Reserve Class3a.86,7 (ReleasedUsage

257

Electricity Prices for Households - EIA  

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 > Voluntary826

258

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.

259

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets  

E-Print Network [OSTI]

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets Meghan Busse pollution caused by the burning of fossil fuels. Argu- ments against energy taxes, and gasoline taxes more incidence of the tax. We study the effect of a gasoline tax using changes in vehicle values. We construct

Rothman, Daniel

260

LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION...  

Gasoline and Diesel Fuel Update (EIA)

ENERGY INFORMATION ADMINISTRATION LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION BARRELS) FILE UPDATED April 2004 Line Month Low High Number Product Name Geography...

Note: This page contains sample records for the topic "average household energy" 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

The Program Administrator Cost of Saved Energy for Utility Customer-Funded Energy Efficiency Programs  

E-Print Network [OSTI]

Residential programs designed around directly influencing household habits and decision-making on energy consumption through quantitative or graphical feedback

Billingsley, Megan A.

2014-01-01T23:59:59.000Z

262

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

E-Print Network [OSTI]

behavior patterns in which American households use energy causes wide variations in total residential energy consumption per home,

Kelsven, Phillip

2013-01-01T23:59:59.000Z

263

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network [OSTI]

by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

264

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

SciTech Connect (OSTI)

Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

Letschert, Virginie; McNeil, Michael A.

2009-03-23T23:59:59.000Z

265

Evaluations of average level spacings  

SciTech Connect (OSTI)

The average level spacing for highly excited nuclei is a key parameter in cross section formulas based on statistical nuclear models, and also plays an important role in determining many physics quantities. Various methods to evaluate average level spacings are reviewed. Because of the finite experimental resolution, to detect a complete sequence of levels without mixing other parities is extremely difficult, if not totally impossible. Most methods derive the average level spacings by applying a fit, with different degrees of generality, to the truncated Porter-Thomas distribution for reduced neutron widths. A method that tests both distributions of level widths and positions is discussed extensivey with an example of /sup 168/Er data. 19 figures, 2 tables.

Liou, H.I.

1980-01-01T23:59:59.000Z

266

E-Print Network 3.0 - average body surface Sample Search Results  

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

averages. The chemical... to the en- semble averages for pressure and configurational energy are summarized in Table II. Three-body... Three-body interactions in fluids from...

267

achieve household waste: Topics by E-print Network  

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

system will help keep your water safe. For more information, visit the Virginia Household Water Quality Program website www.wellwater.bse.vt.edu. unknown authors 30 The...

268

Intra-Household Inequality in Transitional Russia Ekaterina Kalugina  

E-Print Network [OSTI]

1 Intra-Household Inequality in Transitional Russia Ekaterina Kalugina Natalia Radtchenko Catherine and satisfaction. Using two different subjective questions of the Russian data RLMS (Russia Longitudinal Monitoring and social changes in Russia, we investigate the dynamics of household behavior. Keywords: subjective data

Paris-Sud XI, Université de

269

Controlling Households' Drilling Fever in France: an economic modeling approach  

E-Print Network [OSTI]

to generate environmental benefits through reducing water use, has produced economic incentives for households; France; households; domestic boreholes; tube well; water pricing. Author-produced version Fourth World negative environmental impact of water price increase in the drinking water sector. Using primary data

Boyer, Edmond

270

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network [OSTI]

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL CEC-WS-2R (Revised 08/09) CALIFORNIA ENERGY COMMISSION Area Weighted Average Calculation Worksheet WS-2R Residential (Page 1 of 1) Site/Time: ____________________ HERS Provider: __________________ 2008 Residential Compliance Forms August 2009 This worksheet should

271

China Energy Primer  

E-Print Network [OSTI]

for the use of renewable energy in rural areas. The law alsoboth urban Chapter 2 Energy Production and rural areas, andwas the primary energy source for rural households, where it

Ni, Chun Chun

2010-01-01T23:59:59.000Z

272

Students Save Energy & Money through America's Home Energy Education...  

Office of Environmental Management (EM)

Competition Helps Kids Learn About Energy and Save Their Households Some Money An LBNL scientist explains the properties of liquid nitrogen to students on Bring Your Sons and...

273

Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China  

E-Print Network [OSTI]

of household refrigerators and freezers 2 . Therefore, thesales of the refrigerators and freezers are about 20.6for household refrigerators and freezers has been updated

Lin, Jiang

2006-01-01T23:59:59.000Z

274

average effective dose: Topics by E-print Network  

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

field theory, Chern-Simons theory is discussed in detail. M. Reuter 1996-02-04 2 Is dark energy an effect of averaging? CERN Preprints Summary: The present standard model of...

275

Abstract Interpretation for Worst and Average Case Analysis  

E-Print Network [OSTI]

energy usage whilst bounding the average number of requests waiting to be served. PRISM is used phase extracts a control flow graph ­ for some classes of language this may already involve an abstract

Di Pierro, Alessandra

276

White Paper on Energy Efficiency Status of Energy-Using Products in China (2011)  

E-Print Network [OSTI]

rural area household appliances subsidy program” and “energyof the “energy efficient products discount program,” “ruralas “energy efficient products discount program”, “rural area

Zhou, Nan

2013-01-01T23:59:59.000Z

277

Department of Energy Provides Nearly $88 Million to Low-Income...  

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

households the costs average 16 percent. These costs can include anything from heating and cooling their homes to running the lights, computers and other appliances. DOE...

278

Laboratory Testing of Demand-Response Enabled Household Appliances  

SciTech Connect (OSTI)

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

Sparn, B.; Jin, X.; Earle, L.

2013-10-01T23:59:59.000Z

279

Analysis of household refrigerators for different testing standards  

SciTech Connect (OSTI)

This study highlights the salient differences among various testing standards for household refrigerator-freezers and proposes a methodology for predicting the performance of a single evaporator-based vapor-compression refrigeration system (either refrigerator or freezer) from one test standard (where the test data are available-the reference case) to another (the alternative case). The standards studied during this investigation include the Australian-New Zealand Standard (ANZS), the International Standard (ISO), the American National Standard (ANSI), the Japanese Industrial Standard (JIS), and the Chinese National Standard (CNS). A simple analysis in conjunction with the BICYCLE model (Bansal and Rice 1993) is used to calculate the energy consumption of two refrigerator cabinets from the reference case to the alternative cases. The proposed analysis includes the effect of door openings (as required by the JIS) as well as defrost heaters. The analytical results are found to agree reasonably well with the experimental observations for translating energy consumption information from one standard to another.

Bansal, P.K. [Univ. of Auckland (New Zealand). Dept. of Mechanical Engineering; McGill, I. [Fischer and Paykel Ltd., Auckland (New Zealand)

1995-08-01T23:59:59.000Z

280

Field usage and its impact on energy consumption of refrigerator/freezers  

SciTech Connect (OSTI)

This study investigated the effect of door openings and kitchen environment on the energy consumption of nine household refrigerator/freezers (R/Fs) in the field. The factors under consideration include fresh food and freezer door openings, length of door openings, ambient kitchen temperature, and kitchen relative humidity (RH). Average daily energy consumption for the nine units ranged from 1.7 to 5.3 kWh/day. Energy consumption was found to correlate with kitchen temperature and the number of door openings. No dependence on kitchen relative humidity was found. In general, the magnitude of the door opening component of energy consumption was higher for the more efficient units.

Gage, C.L. [Environmental Protection Agency, Research Triangle Park, NC (United States). Air Pollution Prevention and Control Div.

1995-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012  

E-Print Network [OSTI]

local government home energy conservation (LGHEC) programs.Promoting household energy conservation. Energy policy 36 (knows about energy conservation. American Psychologist 47 (

Delmas, MA; Fischlein, M; Asensio, OI

2013-01-01T23:59:59.000Z

282

Variable Average Absolute Percent Differences  

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 SecurityTensile Strain Switched Ferromagnetism inS-4500II FieldVacancy-InducedCloudPoissonVampire Power1 -Variable

283

Seasonal Average Temperature - Hanford Site  

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 May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted forHighlights Nuclear PhysicsDo youTim MorrisDeptSearching for

284

Who counts? how the state (re)creates households  

E-Print Network [OSTI]

different data sources, I produce five different indices to determine settlement patterns of same-sex households in various geographic areas. Secondly, drawing on variables operationalized as cultural schema and resources, I identify characteristics...

Walther, Carol Sue

2009-05-15T23:59:59.000Z

285

Householder Symposium on Numerical Linear Algebra June 1721, 2002  

E-Print Network [OSTI]

for discussions. This year's symposium is held at Peebles Hotel Hydro in the small town of Peebles (populationHouseholder Symposium on Numerical Linear Algebra June 17­21, 2002 Peebles Hotel Hydro, Scotland

Higham, Nicholas J.

286

Smoothing consumption across households and time : essays in development economics  

E-Print Network [OSTI]

This thesis studies two strategies that households may use to keep their consumption smooth in the face of fluctuations in income and expenses: credit (borrowing and savings) and insurance (state contingent transfers between ...

Kinnan, Cynthia Georgia

2010-01-01T23:59:59.000Z

287

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network [OSTI]

efficiency measures applicable to home energy,  commercial sector electricity and natural gas, industrial 

Masanet, Eric

2010-01-01T23:59:59.000Z

288

Energy Efficiency Program Typology and Data Metrics: Enabling Multi-State Analyses Through the Use of Common Terminology  

E-Print Network [OSTI]

Residential programs designed around directly influencing household habits and decision-making on energy consumption through quantitative or graphical feedback

Hoffman, Ian M.

2014-01-01T23:59:59.000Z

289

Energy and Greenhouse Gas Emissions in China: Growth, Transition, and Institutional Change  

E-Print Network [OSTI]

was for 15% of total primary energy consumption to come fromis on domestic primary energy consumption, for most of thisdoes not include primary energy consumption by households

Kahrl, Fredrich James

2011-01-01T23:59:59.000Z

290

Report: An Updated Annual Energy Outlook 2009 Reference Case...  

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

666,1876.378052,1886.589233,1896.617065,1906.307617,1915.627686,1924.664062,1933.551636 " Energy Intensity" " (million Btu per household)" " Delivered Energy Consumption",95.737358...

291

Report: An Updated Annual Energy Outlook 2009 Reference Case...  

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

086,1876.765991,1887.016235,1897.062622,1906.736938,1916.007446,1924.966064,1933.756714 " Energy Intensity" " (million Btu per household)" " Delivered Energy Consumption",95.737365...

292

Energy Efficiency Indicators Methodology Booklet  

E-Print Network [OSTI]

Lighting Appliance Definition Energy use per householdE/employee Indicator E/m Definition Energy use per squarem 2 per building type Definition Energy per square meter for

Sathaye, Jayant

2010-01-01T23:59:59.000Z

293

Driving equitable demand : early lessons from the BetterBuildings Program to access 'hard-to-reach' communities for energy efficiency building improvements  

E-Print Network [OSTI]

Increasing the energy efficiency of low- to moderate-income and minority-occupied households could significantly reduce energy consumption in the United States. Strategies to access these 'hard to reach' households, however, ...

Crauderueff, Robert (Robert Joseph)

2011-01-01T23:59:59.000Z

294

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

EV,then we expect 13.3 to 15.2% of all light-duty vehicle sales,EV marketpotential for smaller and shorter range velucles represented by our sampleis about 7%of annual, newhght duty vehicle sales.EV body styles" EVs ICEVs Total PAGE 66 THE HOUSEHOLD MA RKET FOR ELECTRIC VEHICLES percent mandatein the year 2003will dependon sales

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

295

Lincoln Electric System (Residential)- Sustainable Energy Program  

Broader source: Energy.gov [DOE]

Lincoln Electric System (LES) offers several rebates to residential customers who are interested in upgrading to energy efficient household equipment. The program includes rebates for insulation...

296

Averaged dynamics of ultra-relativisitc charged particles beams  

E-Print Network [OSTI]

In this thesis, we consider the suitability of using the charged cold fluid model in the description of ultra-relativistic beams. The method that we have used is the following. Firstly, the necessary notions of kinetic theory and differential geometry of second order differential equations are explained. Then an averaging procedure is applied to a connection associated with the Lorentz force equation. The result of this averaging is an affine connection on the space-time manifold. The corresponding geodesic equation defines the averaged Lorentz force equation. We prove that for ultra-relativistic beams described by narrow distribution functions, the solutions of both equations are similar. This fact justifies the replacement of the Lorentz force equation by the simpler {\\it averaged Lorentz force equation}. After this, for each of these models we associate the corresponding kinetic model, which are based on the Vlasov equation and {\\it averaged Vlasov equation} respectively. The averaged Vlasov equation is simpler than the original Vlasov equation. This fact allows us to prove that the differential operation defining the averaged charged cold fluid equation is controlled by the {\\it diameter of the distribution function}, by powers of the {\\it energy of the beam} and by the time of evolution $t$. We show that the Vlasov equation and the averaged Vlasov equation have similar solutions, when the initial conditions are the same. Finally, as an application of the {\\it averaged Lorentz force equation} we re-derive the beam dynamics formalism used in accelerator physics from the Jacobi equation of the averaged Lorentz force equation.

Ricardo Gallego Torromé

2012-06-19T23:59:59.000Z

297

Measuring Pb bioavailability from household dusts using an in vitro model  

SciTech Connect (OSTI)

Despite an extensive cleanup program in the Port Pirie region, South Australia, the levels of lead (Pb) in blood of children have been found to exceed the level of concern (10 {micro}g/dL). The ingestion of household dust is a major pathway for elevated blood lead by children in the community. Significant differences in levels of Pb in blood in children were observed in various localities around the smelter. In this study an in vitro test was assessed as one method for determining the bioavailability of Pb in household dust and for predicting levels of Pb in blood of children. The solubility of Pb in the dust decreased significantly as pH of the in vitro mixture increased. Correlation studies with average blood Pb levels of children in the corresponding area and in vitro measures of Pb bioavailability found that the best relationship was with total dust Pb. A significant positive relationship was also found with Pb concentrations determined in the in vitro test at pH 3.0. This suggested that for these dust samples, which all had a similar environmental matrix, the use of the in vitro test was not a better indicator of blood Pb levels in children compared with a total Pb analysis.

Oliver, D.P.; McLaughlin, M.J.; Naidu, R.; Smith, L.H.; Maynard, E.J.; Calder, I.C.

1999-12-15T23:59:59.000Z

298

Modeling patterns of hot water use in households  

SciTech Connect (OSTI)

This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

1996-01-01T23:59:59.000Z

299

Modeling patterns of hot water use in households  

SciTech Connect (OSTI)

This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

1996-11-01T23:59:59.000Z

300

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

system CFL – Compact Fluorescent Light Bulb IAQ – Indoor Airdiscount compact fluorescent light bulbs (CFLs) or providediscount compact fluorescent light bulbs (CFLs) or provide

Zimring, Mark

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Household Vehicles Energy Use: Latest Data & Trends  

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 Review W ith prices reachingThisHistorical1B1.B

302

Household Vehicles Energy Use: Latest Data & Trends  

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 Review W ith prices

303

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

most non-Weatherization Assistance Program (WAP) energythe federal Weatherization Assistance Program may have thefrom the Weatherization Assistance Program (WAP) due to the

Zimring, Mark

2014-01-01T23:59:59.000Z

304

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

water heater replacement, air conditioner Assumptions behindreplacements (e.g. , furnace, water heater, air conditioner,

Zimring, Mark

2012-01-01T23:59:59.000Z

305

WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste  

SciTech Connect (OSTI)

Highlights: • We analyse 26.1 Mg of residual waste from 3129 Danish households. • We quantify and characterise misplaced WEEE and portable batteries. • We compare misplaced WEEE and batteries to collection through dedicated schemes. • Characterisation showed that primarily small WEEE and light sources are misplaced. • Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

Bigum, Marianne, E-mail: mkkb@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Petersen, Claus, E-mail: claus_petersen@econet.dk [Econet A/S, Strandboulevarden 122, 5, 2100 København Ø (Denmark); Christensen, Thomas H., E-mail: thho@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Scheutz, Charlotte, E-mail: chas@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark)

2013-11-15T23:59:59.000Z

306

Household solid waste characteristics and management in Chittagong, Bangladesh  

SciTech Connect (OSTI)

Solid waste management (SWM) is a multidimensional challenge faced by urban authorities, especially in developing countries like Bangladesh. We investigated per capita waste generation by residents, its composition, and the households' attitudes towards waste management at Rahman Nagar Residential Area, Chittagong, Bangladesh. The study involved a structured questionnaire and encompassed 75 households from five different socioeconomic groups (SEGs): low (LSEG), lower middle (LMSEG), middle (MSEG), upper middle (UMSEG) and high (HSEG). Wastes, collected from all of the groups of households, were segregated and weighed. Waste generation was 1.3 kg/household/day and 0.25 kg/person/day. Household solid waste (HSW) was comprised of nine categories of wastes with vegetable/food waste being the largest component (62%). Vegetable/food waste generation increased from the HSEG (47%) to the LSEG (88%). By weight, 66% of the waste was compostable in nature. The generation of HSW was positively correlated with family size (r{sub xy} = 0.236, p < 0.05), education level (r{sub xy} = 0.244, p < 0.05) and monthly income (r{sub xy} = 0.671, p < 0.01) of the households. Municipal authorities are usually the responsible agencies for solid waste collection and disposal, but the magnitude of the problem is well beyond the ability of any municipal government to tackle. Hence dwellers were found to take the service from the local waste management initiative. Of the respondents, an impressive 44% were willing to pay US$0.3 to US$0.4 per month to waste collectors and it is recommended that service charge be based on the volume of waste generated by households. Almost a quarter (22.7%) of the respondents preferred 12-1 pm as the time period for their waste to be collected. This study adequately shows that household solid waste can be converted from burden to resource through segregation at the source, since people are aware of their role in this direction provided a mechanism to assist them in this pursuit exists and the burden is distributed according to the amount of waste generated.

Sujauddin, Mohammad [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh)], E-mail: mohammad.sujauddin@gmail.com; Huda, S.M.S. [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Hoque, A.T.M. Rafiqul [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Laboratory of Ecology and Systematics (Plant Ecophysiology Section), Faculty of Science, Biology Division, University of the Ryukyus, Okinawa 903-0213 (Japan)

2008-07-01T23:59:59.000Z

307

New York Household Travel Patterns: A Comparison Analysis  

SciTech Connect (OSTI)

In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2007-05-01T23:59:59.000Z

308

Status of not-in-kind refrigeration technologies for household space conditioning, water heating and food refrigeration  

SciTech Connect (OSTI)

This paper presents a review of the next generation not-in-kind technologies to replace conventional vapor compression refrigeration technology for household applications. Such technologies are sought to provide energy savings or other environmental benefits for space conditioning, water heating and refrigeration for domestic use. These alternative technologies include: thermoacoustic refrigeration, thermoelectric refrigeration, thermotunneling, magnetic refrigeration, Stirling cycle refrigeration, pulse tube refrigeration, Malone cycle refrigeration, absorption refrigeration, adsorption refrigeration, and compressor driven metal hydride heat pumps. Furthermore, heat pump water heating and integrated heat pump systems are also discussed due to their significant energy saving potential for water heating and space conditioning in households. The paper provides a snapshot of the future R&D needs for each of the technologies along with the associated barriers. Both thermoelectric and magnetic technologies look relatively attractive due to recent developments in the materials and prototypes being manufactured.

Bansal, Pradeep [ORNL; Vineyard, Edward Allan [ORNL; Abdelaziz, Omar [ORNL

2012-01-01T23:59:59.000Z

309

Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

distribution; Numerical weather prediction; Skewed distribution; Truncated data; Wind energy. 1. INTRODUCTION- native. Purely statistical methods have been applied to short-range forecasts for wind speed only a fewProbabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging J. Mc

Raftery, Adrian

310

Estimate of average freeze-out volume in multifragmentation events  

E-Print Network [OSTI]

An estimate of the average freeze-out volume for multifragmentation events is presented. Values of volumes are obtained by means of a simulation using the experimental charged product partitions measured by the 4pi multidetector INDRA for 129Xe central collisions on Sn at 32 AMeV incident energy. The input parameters of the simulation are tuned by means of the comparison between the experimental and simulated velocity (or energy) spectra of particles and fragments.

Piantelli, S; Borderie, B; Bougault, R; Chbihi, A; Dayras, R; Durand, D; Frankland, J D; Galíchet, E; Guinet, D; Lanzalone, G; Lautesse, P; Le Neindre, N; López, O; Pârlog, M; Rivet, M F; Rosato, E; Tamain, B; Vient, E; Vigilante, M; Volant, C; Wieleczko, J P

2005-01-01T23:59:59.000Z

311

Household Segmentation in Food Insecurity and Soil Improving Practices in Ghana  

E-Print Network [OSTI]

secure household, and households farming medium quality soil increase the probability of adopting soil improving practices. Application of chemical fertilizers, commercial seeds, and pesticides, along with operating under a seasonal lease tenure...

Nata, Jifar T

2013-08-09T23:59:59.000Z

312

Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys  

E-Print Network [OSTI]

This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

313

Using Multiple Household Food Inventories to Measure Food Availability in the Home  

E-Print Network [OSTI]

The purpose of this study was to determine the feasibility of conducting multiple household food inventories over the course of 30 days to examine weekly food variability. Household food availability influences the foods individuals choose...

Sisk, Cheree L.

2010-10-12T23:59:59.000Z

314

Household scale slow sand filtration in the Dominican Republic  

E-Print Network [OSTI]

Slow sand filtration is a method of water treatment that has been used for hundreds of years. In the past two decades, there has been resurgence in interest in slow sand filtration, particularly as a low-cost, household-scale ...

Donison, Kori S. (Kori Shay), 1981-

2004-01-01T23:59:59.000Z

315

Microcredit Program Participation and Household Food Security in Rural Bangladesh  

E-Print Network [OSTI]

and per capita calorie consumption, reduces the incidence of food poverty and the prevalence the impact of participation status on different measures of food insecurity -- household calorie consumption and consumption (Dercon and Krishnan, 2000; Dostie et al., 2002; Khandker et al., 2012). Income from non

Bandyopadhyay, Antar

316

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.

317

Frequency and longitudinal trends of household care product use Rebecca E. Moran a  

E-Print Network [OSTI]

SUPERB Indoor environment d-limonene a b s t r a c t The use of household cleaning products and air, frequencies of use of eight types of household cleaning products and air fresheners and the performance. Introduction Household care products, such as cleaning products and air fresheners, are frequently used

Leistikow, Bruce N.

318

The residential landscape: fluxes of elements and the role of household decisions  

E-Print Network [OSTI]

The residential landscape: fluxes of elements and the role of household decisions Cinzia Fissore biogeochemical cycling of elements through residential household landscapes to evaluate the importance of annual 55108, USA #12;Introduction The household landscape represents a key feature in the residential areas

Weiblen, George D

319

Selling Geothermal Systems The "Average" Contractor  

E-Print Network [OSTI]

Selling Geothermal Systems #12;The "Average" Contractor · History of sales procedures · Manufacturer Driven Procedures · What makes geothermal technology any harder to sell? #12;"It's difficult to sell a geothermal system." · It should

320

Alston S. Householder Fellowship | Careers | ORNL  

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)ProductssondeadjustsondeadjustAbout theOFFICE OF RESEARCHThermal SolarAllocatioBasics of RadiationIn

Note: This page contains sample records for the topic "average household energy" 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

U.S. Energy Information Administration (EIA) - Source  

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

Read full section Residential energy use per household declines for a range of technology assumptions.... Read full section Electricity use increases with number of...

322

ORNL signs agreement with Whirlpool Corp. to develop new energy...  

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

with current models. The goal of the cooperative research and development agreement, or CRADA, is to make a next-generation household refrigerator more energy efficient by using...

323

Energy-Efficiency-Related Conference Papers and Workshop Summarys  

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

Home > Households, Buildings & Industry > Energy Efficiency > Conference Papers Conference Papers Page Last Modified: September 2007 The Growth in Electricity Demand in U.S....

324

National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China  

E-Print Network [OSTI]

consuming more energy than rural households, especiallyeffort and energy. In addition, the rural population stillenergy demand growth. In addition, incomes are rising for both urban and rural

Zhou, Nan

2013-01-01T23:59:59.000Z

325

Recovery and separation of high-value plastics from discarded household appliances  

SciTech Connect (OSTI)

Argonne National Laboratory is conducting research to develop a cost- effective and environmentally acceptable process for the separation of high-value plastics from discarded household appliances. The process under development has separated individual high purity (greater than 99.5%) acrylonitrile-butadiene-styrene (ABS) and high- impact polystyrene (HIPS) from commingled plastics generated by appliance-shredding and metal-recovery operations. The process consists of size-reduction steps for the commingled plastics, followed by a series of gravity-separation techniques to separate plastic materials of different densities. Individual plastics of similar densities, such as ABS and HIPS, are further separated by using a chemical solution. By controlling the surface tension, the density, and the temperature of the chemical solution we are able to selectively float/separate plastics that have different surface energies. This separation technique has proven to be highly effective in recovering high-purity plastics materials from discarded household appliances. A conceptual design of a continuous process to recover high-value plastics from discarded appliances is also discussed. In addition to plastics separation research, Argonne National Laboratory is conducting research to develop cost-effective techniques for improving the mechanical properties of plastics recovered from appliances.

Karvelas, D.E.; Jody, B.J.; Poykala, J.A. Jr.; Daniels, E.J. [Argonne National Lab., IL (United States). Energy Systems Div.; Arman, B. [Argonne National Lab., IL (United States). Energy Systems Div.]|[Praxair, Inc., Tarrytown, NY (United States)

1996-03-01T23:59:59.000Z

326

Energy-Efficient Lighting The typical American family spends more  

E-Print Network [OSTI]

Energy-Efficient Lighting The typical American family spends more than $1,500 a year on household energy bills--and many households spend considerably more. Costs could climb even higher in the future, as electricity and natural gas prices continue to rise. Investing money in energy-saving products like compact

327

Yaw Afrane-Okese & Maxwell Mapako Energy & Development Research Centre  

E-Print Network [OSTI]

International Energy Conference Roskilde, Denmark, 19-21 May 2003 Solar PV Rural Electrification Lessons fromYaw Afrane-Okese & Maxwell Mapako Energy & Development Research Centre UNIVERSITY OF CAPE TOWN RisøDifferent ways solar PV provides means of meeting household priority energy needs.meeting household priority

328

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, Matthew [JLAB

2013-11-01T23:59:59.000Z

329

Small Town Energy Program (STEP) Final Report revised  

SciTech Connect (OSTI)

University Park, Maryland (“UP”) is a small town of 2,540 residents, 919 homes, 2 churches, 1 school, 1 town hall, and 1 breakthrough community energy efficiency initiative: the Small Town Energy Program (“STEP”). STEP was developed with a mission to “create a model community energy transformation program that serves as a roadmap for other small towns across the U.S.” STEP first launched in January 2011 in UP and expanded in July 2012 to the neighboring communities of Hyattsville, Riverdale Park, and College Heights Estates, MD. STEP, which concluded in July 2013, was generously supported by a grant from the U.S. Department of Energy (DOE). The STEP model was designed for replication in other resource-constrained small towns similar to University Park - a sector largely neglected to date in federal and state energy efficiency programs. STEP provided a full suite of activities for replication, including: energy audits and retrofits for residential buildings, financial incentives, a community-based social marketing backbone and local community delivery partners. STEP also included the highly innovative use of an “Energy Coach” who worked one-on-one with clients throughout the program. Please see www.smalltownenergy.org for more information. In less than three years, STEP achieved the following results in University Park: • 30% of community households participated voluntarily in STEP; • 25% of homes received a Home Performance with ENERGY STAR assessment; • 16% of households made energy efficiency improvements to their home; • 64% of households proceeded with an upgrade after their assessment; • 9 Full Time Equivalent jobs were created or retained, and 39 contractors worked on STEP over the course of the project. Estimated Energy Savings - Program Totals kWh Electricity 204,407 Therms Natural Gas 24,800 Gallons of Oil 2,581 Total Estimated MMBTU Saved (Source Energy) 5,474 Total Estimated Annual Energy Cost Savings $61,343 STEP clients who had a home energy upgrade invested on average $4,500, resulting in a 13% reduction in annual energy use and utility bill savings of $325. Rebates and incentives covered 40%-50% of retrofit cost, resulting in an average simple payback of about 7 years. STEP has created a handbook in which are assembled all the key elements that went into the design and delivery of STEP. The target audiences for the handbook include interested citizens, elected officials and municipal staff who want to establish and run their own efficiency program within a small community or neighborhood, using elements, materials and lessons from STEP.

Wilson, Charles (Chuck) T. [Chuck

2014-01-02T23:59:59.000Z

330

Extracting gluon condensate from the average plaquette  

E-Print Network [OSTI]

The perturbative contribution in the average plaquette is subtracted using Borel summation and the remnant of the plaquette is shown to scale as a dim-4 condensate. A critical review is presented of the renormalon subtraction scheme that claimed a dim-2 condensate. The extracted gluon condensate is compared with the latest result employing high order (35-loop) calculation in the stochastic perturbation theory.

Lee, Taekoon

2015-01-01T23:59:59.000Z

331

Average Rate Speed Scaling Nikhil Bansal1  

E-Print Network [OSTI]

energy. In this setting, the operating system must not only have a job selection policy to determine was deadline feasibility and the objective was to minimize the energy used. More precisely, each job i has of the speed to power function, this even spreading is energy optimal if the instance consists of only one job

Bunde, David

332

Average Rate Speed Scaling Nikhil Bansal  

E-Print Network [OSTI]

energy. In this setting, the operating system must not only have a job selection policy to determine was deadline feasibility and the objective was to minimize the energy used. More precisely, each job i has of the speed to power function, this even spreading is energy optimal if the instance consists of only one job

Bunde, David

333

Monthly energy review, September 1995  

SciTech Connect (OSTI)

An ``energy snapshot`` article is included on housing characteristics in 1993 (survey of 7,111 households). The rest of the document is divided into: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, international energy, and appendices (conversion factors, CO2 emission factors from coal, index, glossary).

NONE

1995-09-25T23:59:59.000Z

334

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today’s CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

2013-11-07T23:59:59.000Z

335

A life cycle approach to the management of household food waste - A Swedish full-scale case study  

SciTech Connect (OSTI)

Research Highlights: > The comparison of three different methods for management of household food waste show that anaerobic digestion provides greater environmental benefits in relation to global warming potential, acidification and ozone depilation compared to incineration and composting of food waste. Use of produced biogas as car fuel provides larger environmental benefits compared to a use of biogas for heat and power production. > The use of produced digestate from the anaerobic digestion as substitution for chemical fertilizer on farmland provides avoidance of environmental burdens in the same ratio as the substitution of fossil fuels with produced biogas. > Sensitivity analyses show that results are highly sensitive to assumptions regarding the environmental burdens connected to heat and energy supposedly substituted by the waste treatment. - Abstract: Environmental impacts from incineration, decentralised composting and centralised anaerobic digestion of solid organic household waste are compared using the EASEWASTE LCA-tool. The comparison is based on a full scale case study in southern Sweden and used input-data related to aspects such as source-separation behaviour, transport distances, etc. are site-specific. Results show that biological treatment methods - both anaerobic and aerobic, result in net avoidance of GHG-emissions, but give a larger contribution both to nutrient enrichment and acidification when compared to incineration. Results are to a high degree dependent on energy substitution and emissions during biological processes. It was seen that if it is assumed that produced biogas substitute electricity based on Danish coal power, this is preferable before use of biogas as car fuel. Use of biogas for Danish electricity substitution was also determined to be more beneficial compared to incineration of organic household waste. This is a result mainly of the use of plastic bags in the incineration alternative (compared to paper bags in the anaerobic) and the use of biofertiliser (digestate) from anaerobic treatment as substitution of chemical fertilisers used in an incineration alternative. Net impact related to GWP from the management chain varies from a contribution of 2.6 kg CO{sub 2}-eq/household and year if incineration is utilised, to an avoidance of 5.6 kg CO{sub 2}-eq/household and year if choosing anaerobic digestion and using produced biogas as car fuel. Impacts are often dependent on processes allocated far from the control of local decision-makers, indicating the importance of a holistic approach and extended collaboration between agents in the waste management chain.

Bernstad, A., E-mail: anna.bernstad@chemeng.lth.se [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden); Cour Jansen, J. la [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden)

2011-08-15T23:59:59.000Z

336

AMPERE AVERAGE CURRENT PHOTOINJECTOR AND ENERGY RECOVERY LINAC*  

E-Print Network [OSTI]

for an ERL based on these units. INTRODUCTION A frontier of very high power Free-Electron Lasers (FEL.) and Jefferson Laboratory to push the frontier of high-brightness ERLs. There are three main elements bunches. Second is a cathode capable of generating high charge electron bunches at the right repetition

Brookhaven National Laboratory

337

FY 2012 Federal Office Departmental Averages | Department of Energy  

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 Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 2011 Report to CongressMarch 4, 2014Federal

338

Rutland County, Vermont | Department of Energy  

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

Path to Community Engagement January 26, 2011 H.E.A.T. Squad Warms Homeowners up to Energy Efficiency With the goal of helping households become more comfortable and energy...

339

Pollak and Wachter on the Household Production Function Approach  

E-Print Network [OSTI]

of the ith commodity. As Pollak and Wachter have observed, much of the appeal of the commodity shadow-price approach lies in its ability to use functions having known neoclassical properties. However, Pollak and Wachter maintain that, if the constraint 7r(P...). But the commodity shadow prices 7r(P, Z) do depend upon Z whenever house- hold production exhibits jointness, which Pollak and Wachter maintain is inherently characteristic of household production processes. Hence 1 Pollack and Wachter have considered...

Barnett, William A.

1977-10-01T23:59:59.000Z

340

Trip rate comparison of workplace and household surveys  

E-Print Network [OSTI]

from the surveys was used to plan for the design of the future transportation systems (&). Evolution of Surveys In a report by David T. Hartgen, the travel surveys were said to have evolved from the 1960's to the 1990's. In the 1960's, travel...(Jl, :PP', N! 3. 16, 'gl, '9~74, l)'j~ Person Trips per Household Telephone Mail Mail Brownsville Sherman-Denison T ler 1990 1991 1991 1. 43 1. 60 4. 18 4. 08 3. 04::, ''):. I. :. "I-4)I''a 3. 01 8. 62 2. 81 8. 49 15 Table 2. Comparisons...

Endres, Stephen Michael

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy  

E-Print Network [OSTI]

Differences in 10 Household Automobile Ownership Rates:hauseltoldr lacking automobiles were mmit like! ) to be leftWithout 3 Access to an Automobile. Top Ten Metropolitan

Raphael, S; Berube, A; Deakin, Elizabeth

2006-01-01T23:59:59.000Z

342

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

343

E-Print Network 3.0 - assessing household electricity Sample...  

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

Sciences and Ecology 15 Journal of Environmental Economics and Management 53 (2007) 116 Private provision of environmental public goods Summary: public goods: Household...

344

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network [OSTI]

In contrast to a hybrid vehicle whichcombines multipleor 180 mile hybrid electric vehicle. Natural gas vehicles (1994) "Demand Electric Vehicles in Hybrid for Households:

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

345

Driving the transition to a low energy economy  

E-Print Network [OSTI]

require the rapid and widespread deployment of energy efficient technologies throughout all sectors; · broad-based: investigating low- energy innovations relevant to industry, households, public, University of Oxford Although reducing energy consumption in transport is notoriously difficult, efforts

Sussex, University of

346

Energy Department Awards $92.5 Million to 19 States to Weatherize...  

Office of Environmental Management (EM)

Secretary Alphonso Jackson, and Environmental Protection Agency Administrator Stephen Johnson kicked off the Partnership for Home Energy Efficiency, aimed at reducing household...

347

Burlington Electric Department- Multi-Family Rental Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Burlington Electric Department offers an innovative rebate program geared towards rental apartment owners. The program is designed to offer rebates on some of the most energy intensive household...

348

Yearly average performance of the principal solar collector types  

SciTech Connect (OSTI)

The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

Rabl, A.

1981-01-01T23:59:59.000Z

349

2/21/2014 Downsizing Wind Energyfor Your Phone | Glacial EnergyBlog -Commercial Electric Savings, Electric Provider, Electric Supplier http://blog.glacialenergy.com/2014/02/19/downsizing-wind-energy-for-your-phone/ 1/2  

E-Print Network [OSTI]

suppliers selling electricity and natural gas to residential, commercial, industrial, and institutional Energy Saving Tips Events General Electricity green roof Household Tips Life Tips Natural Gas New Announcements Community Electrical Safety Electricity Energy Energy Efficiency Energy Innovations Energy News

Chiao, Jung-Chih

350

Does energy follow urban form? : an examination of neighborhoods and transport energy use in Jinan, China  

E-Print Network [OSTI]

This thesis explores the impacts of neighborhood form and location on household transportation energy use in the context of Jinan, China. From a theoretical perspective, energy use is a derived outcome of activities, and ...

Jiang, Yang, M.C.P. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

351

Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards "Top-Runner Approach"  

E-Print Network [OSTI]

Total Energy Source Demand Coal, Oil, Gas, Heat, ElectricityEnergy Source Demand per Household Coal, Oil, Gas, Heat,ton of oil equivalent Considerable increases in demand for

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

352

Table 14b. Average Electricity Prices, Projected vs. Actual  

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 statistics for0b. Average

353

Historical Average Priority Firm Power Rates (rates/previous)  

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 ProposedUsingFun withconfinement plasmas in theinPlasticsreduction .HistoricHistorical Average

354

Table 17. Average Price of U.S. Coke Exports  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationReleaseMetallurgical Coal Exports byAverage

355

Table 22. Average Price of U.S. Coke Imports  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationReleaseMetallurgical Coal ExportsPriceAverage

356

Table 8. Average Price of U.S. Coal Exports  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationReleaseMetallurgical CoalAverage Price

357

Reynolds-Averaged Navier-Stokes  

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

Navier-Stokes simulation of the heave performance of a two-body floating-point absorber wave energy system Yi-Hsiang Yu, Ye Li National Wind Technology Center, National...

358

Average transverse momentum quantities approaching the lightfront  

E-Print Network [OSTI]

In this contribution to Light Cone 2014, three average transverse momentum quantities are discussed: the Sivers shift, the dijet imbalance, and the $p_T$ broadening. The definitions of these quantities involve integrals over all transverse momenta that are overly sensitive to the region of large transverse momenta, which conveys little information about the transverse momentum distributions of quarks and gluons inside hadrons. TMD factorization naturally suggests alternative definitions of such integrated quantities, using Bessel-weighting and rapidity cut-offs, with the conventional definitions as limiting cases. The regularized quantities are given in terms of integrals over the TMDs of interest that are well-defined and moreover have the advantage of being amenable to lattice evaluations.

Daniel Boer

2014-09-29T23:59:59.000Z

359

E-Print Network 3.0 - average current rf Sample Search Results  

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

management estimates the channel upon a frame recep- tion. MIMO... MHz bandwidth. 6.2 Simulation Results We compare the average energy per bit of RF chain management... measure...

360

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy  

E-Print Network [OSTI]

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation's aftermath concerned the size and composition of the area's populations that lacked access to an automobile for all U.S. metropolitan areas that reside in a household without access to an automobile. Finally, we

Sekhon, Jasjeet S.

Note: This page contains sample records for the topic "average household energy" 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

Dimethyl ether (DME) from coal as a household cooking fuel in China  

E-Print Network [OSTI]

be made from any carbonaceous feedstock, including natural gas, coal, or biomass, using establishedDimethyl ether (DME) from coal as a household cooking fuel in China Eric D. Larson Princeton gas (LPG) as a household cooking fuel. As such, DME is an attractive fuel for clean cooking. DME can

362

Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes  

E-Print Network [OSTI]

Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes decomposes recent deforestation in four study areas in the Brazilian Amazon into components associated deforestation with respect to the proximate causes of their farming systems, and the household drivers

Walker, Robert T.

363

Passive sampling methods to determine household and personal care product use  

E-Print Network [OSTI]

Passive sampling methods to determine household and personal care product use DEBORAH H. BENNETTa, cleaning products, passive sampling, SUPERB, longitudinal. Introduction Personal care and household care products, such as cleaning products and pesticides, are frequently used in most house- holds although

Leistikow, Bruce N.

364

Fact #835: August 25, Average Annual Gasoline Pump Price, 1929...  

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

5: August 25, Average Annual Gasoline Pump Price, 1929-2013 Fact 835: August 25, Average Annual Gasoline Pump Price, 1929-2013 When adjusted for inflation, the average annual...

365

Load Component Database of Household Appliances and Small Office Equipment  

SciTech Connect (OSTI)

This paper discusses the development of a load component database for household appliances and office equipment. To develop more accurate load models at both transmission and distribution level, a better understanding on the individual behaviors of home appliances and office equipment under power system voltage and frequency variations becomes more and more critical. Bonneville Power Administration (BPA) has begun a series of voltage and frequency tests against home appliances and office equipments since 2005. Since 2006, Researchers at Pacific Northwest National Laboratory has collaborated with BPA personnel and developed a load component database based on these appliance testing results to facilitate the load model validation work for the Western Electricity Coordinating Council (WECC). In this paper, the testing procedure and testing results are first presented. The load model parameters are then derived and grouped. Recommendations are given for aggregating the individual appliance models to feeder level, the models of which are used for distribution and transmission level studies.

Lu, Ning; Xie, YuLong; Huang, Zhenyu; Puyleart, Francis; Yang, Steve

2008-07-24T23:59:59.000Z

366

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

367

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia APRIL 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

368

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

369

"Certainly the Proper Business of Woman": Household and Estate Management Techniques of Eighteenth-Century French Noblewomen  

E-Print Network [OSTI]

This project explores the legal, economic, and social aspects of household and estate management in eighteenth-century France. It investigates two paradoxes surrounding noblewomen and household management. The first involves ...

Utech, Sally

2010-10-12T23:59:59.000Z

370

Fact #693: September 19, 2011 Average Vehicle Footprint for Cars...  

Energy Savers [EERE]

and the average track width of the vehicle. The upcoming Corporate Average Fuel Economy (CAFE) Standards have fuel economy targets based on the vehicle footprint. The...

371

average atom model: Topics by E-print Network  

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

(chemical potential, average ionic charge, free electron density, bound and continuum wave-functions and occupation numbers) are obtained from the average-atom model. The...

372

Separate collection of household food waste for anaerobic degradation - Comparison of different techniques from a systems perspective  

SciTech Connect (OSTI)

Highlight: Black-Right-Pointing-Pointer Four modern and innovative systems for household food waste collection are compared. Black-Right-Pointing-Pointer Direct emissions and resource use were based on full-scale data. Black-Right-Pointing-Pointer Conservation of nutrients/energy content over the system was considered. Black-Right-Pointing-Pointer Systems with high energy/nutrient recovery are most environmentally beneficial. - Abstract: Four systems for household food waste collection are compared in relation the environmental impact categories eutrophication potential, acidification potential, global warming potential as well as energy use. Also, a hotspot analysis is performed in order to suggest improvements in each of the compared collection systems. Separate collection of household food waste in paper bags (with and without drying prior to collection) with use of kitchen grinders and with use of vacuum system in kitchen sinks were compared. In all cases, food waste was used for anaerobic digestion with energy and nutrient recovery in all cases. Compared systems all resulted in net avoidance of assessed environmental impact categories; eutrophication potential (-0.1 to -2.4 kg NO{sub 3}{sup -}eq/ton food waste), acidification potential (-0.4 to -1.0 kg SO{sub 2}{sup -}eq/ton food waste), global warming potential (-790 to -960 kg CO{sub 2}{sup -}eq/ton food waste) and primary energy use (-1.7 to -3.6 GJ/ton food waste). Collection with vacuum system results in the largest net avoidance of primary energy use, while disposal of food waste in paper bags for decentralized drying before collection result in a larger net avoidance of global warming, eutrophication and acidification. However, both these systems not have been taken into use in large scale systems yet and further investigations are needed in order to confirm the outcomes from the comparison. Ranking of scenarios differ largely if considering only emissions in the foreground system, indicating the importance of taking also downstream emissions into consideration when comparing different collection systems. The hot spot identification shows that losses of organic matter in mechanical pretreatment as well as tank connected food waste disposal systems and energy in drying and vacuum systems reply to the largest impact on the results in each system respectively.

Bernstad, A., E-mail: Anna.bernstad@chemeng.lth.se [Water and Environmental Engineering, Department of Chemical Engineering, Lund University (Sweden); Cour Jansen, J. la [Water and Environmental Engineering, Department of Chemical Engineering, Lund University (Sweden)

2012-05-15T23:59:59.000Z

373

Patterns of Stove Usage after Introduction of an Advanced Cookstove: The Long-Term Application of Household Sensors  

E-Print Network [OSTI]

ABSTRACT: Household air pollution generated from solid fuel use for cooking is one of the leading risk% of households rely on solid fuelsincluding wood, dung, grass, coal, and crop residues for cooking.1 The 2010 of Household Sensors Ajay Pillarisetti,*, Mayur Vaswani, Darby Jack,§ Kalpana Balakrishnan, Michael N. Bates

374

Renewable Energy Issues Rangan Banerjee  

E-Print Network [OSTI]

in Energy Options 2005 at Mumbai, March 23, 2005 #12;Issues #1 Sustainability #2 Access to Rural Poor Energy Services & Quality of Life 56% rural households (78 million) 112,400 villages unelectrifiedRenewable Energy Issues Rangan Banerjee Energy Systems Engineering IIT Bombay Talk delivered

Banerjee, Rangan

375

Year Average Transportation Cost of Coal  

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)Wyoming (Million Cubic

376

STEO January 2013 - average gasoline prices  

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 May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORTSORNRecovery ActRSTEM SubscribeRise

377

Average Natural Gas Consumption per Commercial Consumer  

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 633 622 566 8021 1 2 22008662 564 1,146 1,338

378

Average Natural Gas Consumption per Industrial Consumer  

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 633 622 566 8021 1 2 22008662 564 1,146 1,33829,639

379

Neighborhood design and the energy efficiency of urban lifestyle in China : treating residence and mobility as lifestyle bundle  

E-Print Network [OSTI]

China and the rest of the world are facing the challenge of meeting energy demand sustainably. Household-level energy consumption is a large ultimate driving force of a nation's energy use. Realizing a sustainable energy ...

Chen, Yang, Ph. D. Massachusetts Institute of Technology. Dept. of Urban Studies and Planning

2012-01-01T23:59:59.000Z

380

Meeting Customers' Energy Efficiency Goals- In Concert with the Environment  

E-Print Network [OSTI]

This paper describes an exciting new environmental program called "In Concert With The Environment." This program was originally targeted at high school students who analyzed their household's energy usage and the potential energy and related...

Merchant, D. G.

Note: This page contains sample records for the topic "average household energy" 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

Platform Markets and Energy Services  

E-Print Network [OSTI]

2010). Residential and commercial end-users are starting to be informed of their real-time costs, consumption patterns, and of the origin of their electricity. The partial self-supply of household users from solar panels and combined heat and power... to the development of one or multiple platform markets. Household consumers are expected to take a more active role and become producers, such as through selling small-scale photovoltaic energy production or participating in demand response contracts (UK...

Weiller, Claire M.; Pollitt, Michael G.

2014-01-07T23:59:59.000Z

382

Energy Impacts of Effective Range Hood Use for all U.S. Residential Cooking  

SciTech Connect (OSTI)

Range hood use during residential cooking is essential to maintaining good indoor air quality. However, widespread use will impact the energy demand of the U.S. housing stock. This paper describes a modeling study to determine site energy, source energy, and consumer costs for comprehensive range hood use. To estimate the energy impacts for all 113 million homes in the U.S., we extrapolated from the simulation of a representative weighted sample of 50,000 virtual homes developed from the 2009 Residential Energy Consumption Survey database. A physics-based simulation model that considered fan energy, energy to condition additional incoming air, and the effect on home heating and cooling due to exhausting the heat from cooking was applied to each home. Hoods performing at a level common to hoods currently in U.S. homes would require 19?33 TWh [69?120 PJ] of site energy, 31?53 TWh [110-190 PJ] of source energy; and would cost consumers $1.2?2.1 billion (U.S.$2010) annually in the U.S. housing stock. The average household would spend less than $15 annually. Reducing required airflow, e.g. with designs that promote better pollutant capture has more energy saving potential, on average, than improving fan efficiency.

Logue, Jennifer M; Singer, Brett

2014-06-01T23:59:59.000Z

383

Assessment of Energy Impact of Window Technologies for Commercial Buildings  

E-Print Network [OSTI]

average commercial buildings site energy usage of 91 kBtu/commercial buildings, even though the average Energy Usage

Hong, Tianzhen

2014-01-01T23:59:59.000Z

384

Average System Cost Methodology : Administrator's Record of Decision.  

SciTech Connect (OSTI)

Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

United States. Bonneville Power Administration.

1984-06-01T23:59:59.000Z

385

Equitable economic energy efficiency : creating good jobs in low-income efficiency programming  

E-Print Network [OSTI]

Energy efficiency is an important consideration in energy policy-making. So, a federal program aimed at funding "energy efficiency retrofits" for low-income households could be an important step in increasing the overall ...

Sarin, Amit

2009-01-01T23:59:59.000Z

386

Negotiating reforms at home: Natural resources and the politics of energy access in urban Tanzania  

E-Print Network [OSTI]

conditions of urban energy in Dar es Salaam and the spacesconditions of urban energy in Dar es Salaam. It presents aof household energy conditions in Dar es Salaam, my research

Ghanadan, Rebecca

2004-01-01T23:59:59.000Z

387

Distributional Impacts of Carbon Pricing: A General Equilibrium Approach with Micro-Data for Households  

E-Print Network [OSTI]

Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor ...

Rausch, Sebastian

388

Monitoring effective use of household water treatment and safe storage technologies in Ethiopia and Ghana  

E-Print Network [OSTI]

Household water treatment and storage (HWTS) technologies dissemination is beginning to scale-up to reach the almost 900 million people without access to an improved water supply (WHO/UNICEF/JMP, 2008). Without well-informed ...

Stevenson, Matthew M

2009-01-01T23:59:59.000Z

389

Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own...  

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

with three or more vehicles grew from 2% in 1960 to nearly 20% in 2010. Before 1990, the most common number of vehicles per household was one, but since 1990, the most...

390

Household water treatment and safe storage options for Northern Region Ghana : consumer preference and relative cost  

E-Print Network [OSTI]

A range of household water treatment and safe storage (HWTS) products are available in Northern Region Ghana which have the potential to significantly improve local drinking water quality. However, to date, the region has ...

Green, Vanessa (Vanessa Layton)

2008-01-01T23:59:59.000Z

391

Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico  

E-Print Network [OSTI]

prices, and determinants of household food insecurity are discussed and presented in three separate essays. In the first essay, the dynamic information flows among prices of important agricultural commodities in the United States (U.S.) and Mexico...

Magana Lemus, David

2013-09-20T23:59:59.000Z

392

34 Pauline Kristiansen – life in the household, growing up in north-west Greenland  

E-Print Network [OSTI]

last updated on Monday, 4 April 2011 Accession Form for Individual Recordings: Collection / Collector Name Stephen Leonard Tape No. / Track / Item No. 34 Length of track 1 hour 12 minutes Title of track Pauline Kristiansen – life in the household...

Leonard, Stephen Pax

393

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles”, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

394

Fact #744: September 10, 2012 Average New Light Vehicle Price...  

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

Light Vehicle Price In 2011 the average used light vehicle price was 36% higher than in 1990, while the average new light vehicle price was 67% higher than it was in 1990. The...

395

Fact #835: August 25, Average Historical Annual Gasoline Pump...  

Energy Savers [EERE]

5: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 Fact 835: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 When adjusted for inflation,...

396

Fact #835: August 25, 2014 Average Annual Gasoline Pump Price...  

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

5: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Fact 835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Excel file with...

397

Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...  

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

9: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014 Fact 849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better...

398

Experimental results of a household automatic icemaker in a refrigerator/freezer  

SciTech Connect (OSTI)

This paper describes the performance test results of an automatic icemaker refrigerator under various modes of icemaker operation. The tests were conducted on a 20-ft{sup 3} (0.566-m{sup 3}) household refrigerator that had a single forced convection evaporator and was charged with R-12. The focus of the research was to ascertain the effect of icemaker operation on the refrigerator`s daily energy consumption. Thus, three different types of tests were conducted, depending upon the icemaker`s operating mode. In the first test type, the baseline, the automatic icemaker was turned off and no ice was made. In the second test type, the ice-making mode (test A), the icemaker was turned on and ice was continuously made. Compared to the baseline, additional power was intermittently consumed by a mold heater that melts the ice cubes` interface with the tray, a solenoid valve that supplies water to the icemaker tray, and a motor that rotates the ejector blades to press the crescent-shaped ice cubes out of the mold and unload them into an ice bin. In the third test type, the failure mode (test B), the water supply was manually disconnected but the icemaker was left turned on. Even though no ice was made, additional power was still consumed by the mold heater, the solenoid valve, and the motorized ejector. In tests A and B, the energy consumed by the icemaker`s components increases the cooling load, which raises the compressor power consumption. The present study shows that at the AHAM-specified test conditions, uninterrupted icemaking increased the daily energy consumption by 22.5% to 27.2%.

Haider, I.; Feng, H.; Radermacher, R. [Univ. of Maryland, College Park, MD (United States). Center for Environmental Energy Engineering

1996-12-31T23:59:59.000Z

399

Rapid energy savings in London's households to mitigate an energy crisis  

E-Print Network [OSTI]

Sea and global natural gas and oil reserve depletion, theof reducing natural gas and oil reserves in the North Sea

Julien, Aurore; Barrett, Mark; Croxford, Ben

2011-01-01T23:59:59.000Z

400

Rapid energy savings in London's households to mitigate an energy crisis  

E-Print Network [OSTI]

global natural gas and oil reserve depletion, the impendingreducing natural gas and oil reserves in the North Sea andconsequences of shrinking oil reserves, and finally the

Julien, Aurore; Barrett, Mark; Croxford, Ben

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

Overview of CFC replacement issues for household refrigeration  

SciTech Connect (OSTI)

In 1974, the famous ozone depletion theory of Rowland and Molina claimed that chlorofluorocarbons (CFCs) diffuse into the stratosphere where they are broken down by photolysis to release chlorine atoms that catalytically destroy ozone. Although the understanding of the science is still imperfect, there is little doubt that CFCs play a major role in the Antarctic ozone hole phenomenon and the decline in ozone observed in the rest of the world. Another issue that has become increasingly important is the potential of CFCs to change the earth`s temperature and to modify the climate. While the main impact in global warming is made by increased concentrations of carbon dioxide, CFCs and other trace gases also contribute to this effect. In an effort to respond to the global environmental threat, a CFC protocol was adopted during a diplomatic conference in Montreal. This document, known as the Montreal Protocol, was ratified in 1988 and put into effect on January 1, 1989. In accordance with Article 6 of the Montreal Protocol, the countries that signed the agreement shall periodically assess the control measures provided for in the Protocol. As part of that assessment process, household refrigeration was investigated to determine the status of CFC-12 replacements. The conclusion was that much progress has been made towards finding a suitable replacement. Compressors designed for HFC-134a have efficiencies comparable to those for CFC-12 and acceptable reliability tests have been obtained with ester lubricants. In addition, other replacements such as R-152a and refrigerant mixtures exist, but will require more study. Cycle options, such as the Stirling cycle, may be viable, but are further out in the future. The impact of new refrigerants is expected to result in elimination of CFC-12 consumption in developed countries by 1997 and in developing countries by 2005.

Vineyard, E.A. [Oak Ridge National Lab., TN (United States); Roke, L. [Fisher and Paykel, Auckland (New Zealand); Hallett, F. [Frigidaire, Washington, DC (United States)

1991-12-31T23:59:59.000Z

402

Energy Savings Assessment for Digital-to-Analog Converter Boxes  

SciTech Connect (OSTI)

The Digital Television (DTV) Converter Box Coupon Program was administered by the U.S. government to subsidize purchases of digital-to-analog converter boxes, with up to two $40 coupons for each eligible household. In order to qualify as Coupon Eligible Converter Boxes (CECBs), these devices had to meet a number of minimum performance specifications, including energy efficiency standards. The Energy Star Program also established voluntary energy efficiency specifications that are more stringent than the CECB requirements. In this study, we measured the power and energy consumptions for a sample of 12 CECBs (including 6 Energy Star labeled models) in-use in homes and estimated aggregate energy savings produced by the energy efficiency policies. Based on the 35 million coupons redeemed through the end of the program, our analysis indicates that between 2500 and 3700 GWh per year are saved as a result of the energy efficiency policies implemented on digital-to-analog converter boxes. The energy savings generated are equivalent to the annual electricity use of 280,000 average US homes.

Cheung, Hoi Ying Iris; Meier, Alan; Brown, Richard

2011-01-18T23:59:59.000Z

403

Monthly energy review, August 1995  

SciTech Connect (OSTI)

Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

NONE

1995-08-24T23:59:59.000Z

404

Opportunistic Sensing for Smart Heating Control in Private Households  

E-Print Network [OSTI]

. This is particularly relevant as the energy spent on heating may reach 70% of the total residential consumption devices. Since heating represents the major source of energy consumption in do- mestic environments, significant energy savings may be achieved. The system will opportunistically leverage smart devices

405

Women, Work and Household Electrification in Rural India  

E-Print Network [OSTI]

hand, to the extent that electricity would substitute for other rural energy sources, it would their chores. In addition, the principal end-use of energy in rural India is cook- r i 1 i i~ t \\, Women technologies and women in dev- elopment. For instance, a UNIDO working group on rural energy requirements

Kammen, Daniel M.

406

Energy and Economic Impacts of U.S. Federal Energy and Water Conservation Standards Adopted From 1987 Through 2013  

SciTech Connect (OSTI)

This paper presents estimates of the key impacts of Federal energy and water conservation standards adopted from 1987 through 2013. The standards for consumer products and commercial and industrial equipment include those set by legislation as well as standards adopted by DOE through rulemaking. In 2013, the standards saved an estimated 4.05 quads of primary energy, which is equivalent to 4% of total U.S. energy consumption. The savings in operating costs for households and businesses totaled $56 billion. The average household saved $361 in operating costs as a result of residential and plumbing product standards. The estimated reduction in CO{sub 2} emissions associated with the standards in 2013 was 218 million metric tons, which is equivalent to 4% of total U.S. CO{sub 2} emissions. The estimated cumulative energy savings over the period 1990-2090 amount to 181 quads. Accounting for the increased upfront costs of more-efficient products and the operating cost (energy and water) savings over the products’ lifetime, the standards have a past and projected cumulative net present value (NPV) of consumer benefit of between $1,271 billion and $1,487 billion, using 7 percent and 3 percent discount rates, respectively. The water conservation standards, together with energy conservation standards that also save water, reduced water use by 1.9 trillion gallons in 2013, and will achieve cumulative water savings by 2090 of 55 trillion gallons. The estimated consumer savings in 2013 from reduced water use amounted to $16 billon.

Meyers, Stephen; Williams, Alison; Chan, Peter

2014-06-30T23:59:59.000Z

407

Assessing recycling versus incineration of key materials in municipal waste: The importance of efficient energy recovery and transport distances  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer We model the environmental impact of recycling and incineration of household waste. Black-Right-Pointing-Pointer Recycling of paper, glass, steel and aluminium is better than incineration. Black-Right-Pointing-Pointer Recycling and incineration of cardboard and plastic can be equally good alternatives. Black-Right-Pointing-Pointer Recyclables can be transported long distances and still have environmental benefits. Black-Right-Pointing-Pointer Paper has a higher environmental benefit than recyclables found in smaller amounts. - Abstract: Recycling of materials from municipal solid waste is commonly considered to be superior to any other waste treatment alternative. For the material fractions with a significant energy content this might not be the case if the treatment alternative is a waste-to-energy plant with high energy recovery rates. The environmental impacts from recycling and from incineration of six material fractions in household waste have been compared through life cycle assessment assuming high-performance technologies for material recycling as well as for waste incineration. The results showed that there are environmental benefits when recycling paper, glass, steel and aluminium instead of incinerating it. For cardboard and plastic the results were more unclear, depending on the level of energy recovery at the incineration plant, the system boundaries chosen and which impact category was in focus. Further, the environmental impact potentials from collection, pre-treatment and transport was compared to the environmental benefit from recycling and this showed that with the right means of transport, recyclables can in most cases be transported long distances. However, the results also showed that recycling of some of the material fractions can only contribute marginally in improving the overall waste management system taking into consideration their limited content in average Danish household waste.

Merrild, Hanna [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark); Larsen, Anna W., E-mail: awla@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark)

2012-05-15T23:59:59.000Z

408

Long-term average performance benefits of parabolic trough improvements  

SciTech Connect (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

1980-03-01T23:59:59.000Z

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

average power high: Topics by E-print Network  

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

Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis Computer Technologies and Information Sciences Websites Summary: conversion 6....

411

Nevada: Kingston Creek Hydro Project Powers 100 Households |...  

Energy Savers [EERE]

in Nevada: Extracting Heat From the Earth to Generate Sustainable Power Geothermal Energy Growth Continues, Industry Survey Reports Project Overview Positive Impact...

412

California Households’ Willingness to Pay for “Green” Electronics  

E-Print Network [OSTI]

through contingent valuation method. Applied Energy, 78, pp.Economic Valuation and the Environment: Methods and Casepreference methods used in environmental valuation studies.

Saphores, Jean-Daniel M; Nixon, Hilary; Ogunseitan, Oladele; Shapiro, Andrew A

2007-01-01T23:59:59.000Z

413

Regional patterns of U.S. household carbon emissions  

E-Print Network [OSTI]

in energy use, carbon intensity of electricity generation,of electricity, where carbon intensity varies by location.well as differences in the carbon intensity of electricity

Pizer, William; Sanchirico, James N.; Batz, Michael

2010-01-01T23:59:59.000Z

414

Household Markets for Neighborhood Electric Vehicles in California  

E-Print Network [OSTI]

neighborhoodelecmc. Optional solar panels: offers 7 milesis just $500 Optional solar panels. Offers 7 mdesextra ofMinimal energy use. Optional Solar panels for roof and hood.

Kurani, Kenneth S.; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

2001-01-01T23:59:59.000Z

415

Making energy efficiency desirable : lessons from a cutting-edge program in Minneapolis  

E-Print Network [OSTI]

For the last 30 years, experts have claimed that energy efficiency upgrades in existing buildings can lead to significant reductions in energy use, yet efficiency programs, particularly those geared towards households, ...

Stern, Stephanie (Stephanie B.)

2011-01-01T23:59:59.000Z

416

Residential energy demand modeling and the NIECS data base : an evaluation  

E-Print Network [OSTI]

The purpose of this report is to evaluate the 1978-79 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance ...

Cowing, Thomas G.

1982-01-01T23:59:59.000Z

417

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

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.30NaturalThousandExtensions473.6 W 54,849.0 52,418.4520.7 W203,449.894 1993

418

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

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.30NaturalThousandExtensions473.6 W 54,849.0 52,418.4520.7 W203,449.894 1993

419

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

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.30NaturalThousandExtensions473.6 W 54,849.0 52,418.4520.7 W203,449.894 1993

420

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

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.30NaturalThousandExtensions473.6 W 54,849.0 52,418.4520.7 W203,449.894 1993

Note: This page contains sample records for the topic "average household energy" 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

Year Month U.S. Average PAD District I Average CT ME MA NH RI  

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.30NaturalThousandExtensions473.6 W 54,849.0 52,418.4520.7 W203,449.894 1993

422

ECEEE 2011 SUMMER STUDY EnERgY EffiCiEnCY fiRST: ThE foUnDaTion of a low-CaRbon SoCiETY 2037 The significance of difference  

E-Print Network [OSTI]

The significance of difference: Understanding variation in household energy consumption Janine Morley School@comp.lancs.ac.uk Keywords socio-technical, energy behaviour, interaction, consumption dynamics, demand patterns, domestic energy, electricity use, households, end-use consumption, practices, practice theory Abstract Studies

Hazas, Mike

423

Seasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements  

E-Print Network [OSTI]

of indoor air pollution sources. Concurrently, great efforts are made to make buildings energy efficient 1970s, while less attention has been paid to IAQ. Insufficient venting of indoor air pollutantsSeasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements Marie

Hansen, René Rydhof

424

City of Duluth- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

The City of Duluth offers an incentive program to residents upgrade household equipment or install energy efficiency measures. Contractor-installed improvements are eligible for a rebate worth 25%...

425

Survey of mercury, cadmium and lead content of household batteries  

SciTech Connect (OSTI)

Highlights: • A well selected sample of 146 batteries was analysed for its heavy metals content. • A comparison was made between heavy metals contents in batteries in 2006 and 2011. • No significant change after implementation of the new EU Batteries Directive. • Severe differences in heavy metal contents were found in different battery-types. - Abstract: The objective of this work was to provide updated information on the development of the potential impact of heavy metal containing batteries on municipal waste and battery recycling processes following transposition of the new EU Batteries Directive 2006/66/EC. A representative sample of 146 different types of commercially available dry and button cells as well as lithium-ion accumulators for mobile phones were analysed for their mercury (Hg)-, cadmium (Cd)- and lead (Pb)-contents. The methods used for preparing the cells and analysing the heavy metals Hg, Cd, and Pb were either developed during a former study or newly developed. Several batteries contained higher mass fractions of mercury or cadmium than the EU limits. Only half of the batteries with mercury and/or lead fractions above the marking thresholds were labelled. Alkaline–manganese mono-cells and Li-ion accumulators, on average, contained the lowest heavy metal concentrations, while zinc–carbon batteries, on average, contained the highest levels.

Recknagel, Sebastian, E-mail: sebastian.recknagel@bam.de [BAM Federal Institute for Materials Research and Testing, Department of Analytical Chemistry, Reference Materials, Richard-Willstätter-Straße 11, D-12489 Berlin (Germany); Radant, Hendrik [BAM Federal Institute for Materials Research and Testing, Department of Analytical Chemistry, Reference Materials, Richard-Willstätter-Straße 11, D-12489 Berlin (Germany); Kohlmeyer, Regina [German Federal Environment Agency (UBA), Section III 1.6 Extended Producer Responsibility, Wörlitzer Platz 1, D-06844 Dessau-Roßlau (Germany)

2014-01-15T23:59:59.000Z

426

On average sampling restoration of Piranashvilitype harmonizable processes  

E-Print Network [OSTI]

; time shifted sam- pling; Piranashvili­, Lo`eve­, Karhunen­ harmonizable stochastic process; weakly.olenko@latrobe.edu.au, poganj@pfri.hr Abstract: The harmonizable Piranashvili ­ type stochastic pro- cesses are approximated stationary stochastic process; local averages; average sampling reconstruction. 1. Introduction

Paris-Sud XI, Université de

427

The global warming signal is the average of  

E-Print Network [OSTI]

, uncertainty in the isopycnal diffusivity causes uncertainty of up to 50% in the global warming signalThe global warming signal is the average of years 70-80 in the increasing CO2 run minus the average represent significant uncertainty in the global warming signal (Fig. 5). The differences at high latitudes

Jones, Peter JS

428

Higher-order averaging, formal series and numerical integration II  

E-Print Network [OSTI]

systems of ordinary differential equations with d 1 non- resonant constant frequencies. Formal series frequency and four resonant fast frequencies. Keywords and sentences: Averaging, high-order averaging, quasi Schumann, 35170 Bruz, France. Email: Philippe.Chartier@inria.fr Konputazio Zientziak eta A. A. Saila

Murua, Ander

429

Average Rate Speed Scaling # Nikhil Bansal 1 , David P. Bunde 2 , HoLeung Chan 3 , and Kirk Pruhs 3  

E-Print Network [OSTI]

of such a processor to conserve energy. In this setting, the operating system must not only have a job selection to conserve energy and optimize some Quality of Service (QoS) measure of the resulting schedule. Yao, Demers is to minimize the energy used. They proposed an online speed scaling algorithm Average Rate (AVR) that runs each

Bunde, David

430

Fuelwood Use by Rural Households in the Brazilian Atlantic Forest  

E-Print Network [OSTI]

Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee...

Wilcox-Moore, Kellie J.

2010-07-14T23:59:59.000Z

431

Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger; BOUCQ, Elise; MADRE, Jean-Loup; HIVERT, Laurent.  

E-Print Network [OSTI]

Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger TERM DYNAMICS OF INEQUALITIES BETWEEN FRENCH HOUSEHOLDS CONCERNING AUTOMOBILE Roger Collet, INRETS of automobile. As the curves representing car ownership (number of cars per adult) and car use (annual mileage

Paris-Sud XI, Université de

432

The value of bushmeat and other wild foods to rural households living in extreme poverty in Democratic Republic  

E-Print Network [OSTI]

The value of bushmeat and other wild foods to rural households living in extreme poverty between poverty and the use of wild foods, namely bushmeat, fish and wild plants, within a Congolese and market sales of wild foods. Households varied in wealth but all could be considered subject to extreme

Langerhans, Brian

433

Renormalization, averaging, conservation laws and AdS (in)stability  

E-Print Network [OSTI]

We continue our analytic investigations of non-linear spherically symmetric perturbations around the anti-de Sitter background in gravity-scalar field systems, and focus on conservation laws restricting the (perturbatively) slow drift of energy between the different normal modes due to non-linearities. We discover two conservation laws in addition to the energy conservation previously discussed in relation to AdS instability. A similar set of three conservation laws was previously noted for a self-interacting scalar field in a non-dynamical AdS background, and we highlight the similarities of this system to the fully dynamical case of gravitational instability. The nature of these conservation laws is best understood through an appeal to averaging methods which allow one to derive an effective Lagrangian or Hamiltonian description of the slow energy transfer between the normal modes. The conservation laws in question then follow from explicit symmetries of this averaged effective theory.

Ben Craps; Oleg Evnin; Joris Vanhoof

2015-01-19T23:59:59.000Z

434

Averaging Spacetime: Where do we go from here?  

E-Print Network [OSTI]

The construction of an averaged theory of gravity based on Einstein's General Relativity is very difficult due to the non-linear nature of the gravitational field equations. This problem is further exacerbated by the difficulty in defining a mathematically precise covariant averaging procedure for tensor fields over differentiable manifolds. Together, these two ideas have been called the averaging problem for General Relativity. In the first part of the talk, an attempt to review some the various approaches to this problem will be given, highlighting strengths, weaknesses, and commonalities between them. In the second part of the talk, an argument will be made, that if one wishes to develop a well-defined averaging procedure, one may choose to parallel transport along geodesics with respect to the Levi-Cevita connection or, use the Weitzenb\\"ock connection and ensure the transportation is independent of path. The talk concludes with some open questions to generate further discussion.

R. J. van den Hoogen

2010-04-15T23:59:59.000Z

435

averaged cross sections: Topics by E-print Network  

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

14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

436

averaged cross section: Topics by E-print Network  

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

14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

437

THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE  

E-Print Network [OSTI]

THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE FY 2015 Allocation Cost or Classified.2% URI Budget & Financial Planning Office 9.17.14 Office:fringebenefits:office of sponsored projects: FY2015 Allocation #12;

Rhode Island, University of

438

Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

is to issue deterministic forecasts based on numerical weather prediction models. Uncertainty canProbabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging J. Mc discretization than is seen in other weather quantities. The prevailing paradigm in weather forecasting

Washington at Seattle, University of

439

Does anyone have access to 2012 average residential rates by...  

Open Energy Info (EERE)

Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

440

average glandular dose: Topics by E-print Network  

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

doses and cancer rates to the workers m the first Soviet atom-bomb facility, near 2 Chelyabinsk and 4,600 at the plutonium sep- aration plant. If we allow for an average work...

Note: This page contains sample records for the topic "average household energy" 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

areally averaged heat: Topics by E-print Network  

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

Chulwoo Jung; Christoph Lehner 2014-02-18 56 The Fallacy of Averages University of Kansas - KU ScholarWorks Summary: of component variables as well, we found that ignoring...

442

From average case complexity to improper learning [Extended Abstract  

E-Print Network [OSTI]

is that the standard reduc- tions from NP-hard problems do not seem to apply in this context. There is essentially only.1145/2591796.2591820. Keywords Hardness of improper learning, DNFs, Halfspaces, Average Case complexity, CSP problems, Resolution

Linial, Nathan "Nati"

443

average power optical: Topics by E-print Network  

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

systems, Multiple Subcarrier Strohmer, Thomas 3 June 1, 2000 Vol. 25, No. 11 OPTICS LETTERS 859 16.2-W average power from a diode-pumped Materials Science Websites...

444

Derived Willingness-to-Pay for Household Water Use with Price and Probabilistic Supply  

E-Print Network [OSTI]

a greater frequency of shortages in exchange for reduced water bills Howe and Smith 1994 . Relatively little, investments in water supply reliability enhancement can alter the frequency of all shortage levels soDerived Willingness-to-Pay for Household Water Use with Price and Probabilistic Supply Roberto

Pasternack, Gregory B.

445

Finding the creatures of habit; Clustering households based on their flexibility in using electricity  

E-Print Network [OSTI]

electricity Ian Dent, Uwe Aickelin and Tom Rodden School of Computer Science University of Nottingham, UK, AB15 8QH tony.craig@hutton.ac.uk ABSTRACT Changes in the UK electricity market, particularly to change households' electricity usage patterns for the benefit of the overall sys- tem. Users show

Aickelin, Uwe

446

Assessing the Interaction between Real Estate and Equity in Households Portfolio Choice  

E-Print Network [OSTI]

that households taking positions in one asset (home or stock) encounter a positive position in the other asset considering their stock market participation and home tenure choices. There is already a huge body of literature on housing status (own/rent) decisions and many contributions doc- umented the low stock market

Paris-Sud XI, Université de

447

Rice inventory credit in Madagascar : diversity of rural household strategies around an hybrid financial and  

E-Print Network [OSTI]

Rice inventory credit in Madagascar : diversity of rural household strategies around an hybrid been offering an innovative individual rice inventory credit to its members since 1993. Starting from the acknowledgement that the inventory credit is a hybrid product, which involves a mix of in kind and in cash flows

Paris-Sud XI, Université de

448

DETERMINANTS OF HOUSEHOLD PARTICIPATION IN WATER SOURCE MANAGEMENT: ACHEFER, AMHARA REGION, ETHIOPIA  

E-Print Network [OSTI]

, ETHIOPIA A Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial in Ethiopia are among the lowest in Sub-Saharan Africa. While governmental and non- governmental organizations out involving 16 water supply systems and 160 households within Achefer area, in Amhara, Ethiopia

Walter, M.Todd

449

EVOLUTION OF THE HOUSEHOLD VEHICLE FLEET: ANTICIPATING FLEET COMPOSITION, PHEV ADOPTION AND GHG  

E-Print Network [OSTI]

EVOLUTION OF THE HOUSEHOLD VEHICLE FLEET: ANTICIPATING FLEET COMPOSITION, PHEV ADOPTION AND GHG evolution, vehicle ownership, plug-in hybrid electric vehicles (PHEVs), climate change policy, stated preference, opinion survey, microsimulation ABSTRACT In todays world of volatile fuel prices and climate

Kockelman, Kara M.

450

ISDA 2010, Montpellier, June 28-30, 2010 1 HOUSEHOLDS' RISK MANAGEMENT STRAGIES  

E-Print Network [OSTI]

ISDA 2010, Montpellier, June 28-30, 2010 1 HOUSEHOLDS' RISK MANAGEMENT STRAGIES AND VULNERABILITY of ManagementXi'an Jiaotong University & School of Economic and Management ,Shanxi Normal University Mail Address : Gongyuan Road 1, Economic and Management School, Shanxi Normal University, Linfen city, Shanxi

Boyer, Edmond

451

Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)  

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

The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

452

Partial Averaging Near a Resonance in Planetary Dynamics  

E-Print Network [OSTI]

Following the general numerical analysis of Melita and Woolfson (1996), I showed in a recent paper that a restricted, planar, circular planetary system consisting of Sun, Jupiter and Saturn would be captured in a near (2:1) resonance when one would allow for frictional dissipation due to interplanetary medium (Haghighipour, 1998). In order to analytically explain this resonance phenomenon, the method of partial averaging near a resonance was utilized and the dynamics of the first-order partially averaged system at resonance was studied. Although in this manner, the finding that resonance lock occurs for all initial relative positions of Jupiter and Saturn was confirmed, the first-order partially averaged system at resonance did not provide a complete picture of the evolutionary dynamics of the system and the similarity between the dynamical behavior of the averaged system and the main planetary system held only for short time intervals. To overcome these limitations, the method of partial averaging near a resonance is extended to the second order of perturbation in this paper and a complete picture of dynamical behavior of the system at resonance is presented. I show in this study that the dynamics of the second-order partially averaged system at resonance resembles the dynamical evolution of the main system during the resonance lock in general, and I present analytical explanations for the evolution of the orbital elements of the main system while captured in resonance.

Nader Haghighipour

1999-02-03T23:59:59.000Z

453

Operational energy consumption and GHG emissions in residential sector in urban China : an empirical study in Jinan  

E-Print Network [OSTI]

Driven by rapid urbanization and increasing household incomes, residential energy consumption in urban China has been growing steadily in the past decade, posing critical energy and greenhouse gas emission challenges. ...

Zhang, Jiyang, M.C.P. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

454

Analysis of Potential Energy Saving and CO2 Emission Reduction of Home Appliances and Commercial Equipments in China  

E-Print Network [OSTI]

Energy Research Institute’s energy demand model (CERI, 2009): GDP growth, persons perenergy-environment modeling. 1 Major drivers are economic activity (household income, GDP growth and GDP per

Zhou, Nan

2010-01-01T23:59:59.000Z

455

Shared Solar Projects Powering Households Throughout America | Department  

Energy Savers [EERE]

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 Office of Inspector GeneralDepartment of Energyof the Americas |DOE Former Worker/EnergyFracture Fluids ShaleShannonof

456

Average Soil Water Retention Curves Measured by Neutron Radiography  

SciTech Connect (OSTI)

Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

2011-01-01T23:59:59.000Z

457

autoregressive moving average: Topics by E-print Network  

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

is important in many hydrological, agricultural and energy contexts. To assess solar energy potential, data Stone, J. V. 7 Probing turbulence intermittency via Auto-Regressive...

458

Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes: An Analysis of European Countries  

E-Print Network [OSTI]

1 Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes: An Analysis of European Countries Bradford Millsa * and Joachim Schleicha,b,c a Virginia Polytechnic Institute of measures of household energy use behavior are estimated using a unique dataset of approximately 5

Paris-Sud XI, Université de

459

Table 2. Percent of Households with Vehicles, Selected Survey Years  

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"RhodeWestThousand CubicYear Jan Feb92 207After LeaseLease0 0

460

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)Form EIA-3tM3)E

Note: This page contains sample records for the topic "average household energy" 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

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)Form

462

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)FormG (2001) --

463

Averaged equations for Josephson junction series arrays with LRC load  

E-Print Network [OSTI]

We derive the averaged equations describing a series array of Josephson junctions shunted by a parallel inductor-resistor-capacitor load. We assume that the junctions have negligable capacitance ($\\beta = 0$), and derive averaged equations which turn out to be completely tractable: in particular the stability of both in-phase and splay states depends on a single parameter, $\\del$. We find an explicit expression for $\\delta$ in terms of the load parameters and the bias current. We recover (and refine) a common claim found in the technical literature, that the in-phase state is stable for inductive loads and unstable for capacitive loads.

Kurt Wiesenfeld; James W. Swift

1994-08-26T23:59:59.000Z

464

Can migrogrids make a major contribution to UK energy supply ?  

E-Print Network [OSTI]

Working Paper No. 70 March 2005 Manuscript to appear in Renewable and Sustainable Energy Reviews #12;ii energy balance on a yearly basis if supplemented by energy storage of 2.7kWh per household. We findCan migrogrids make a major contribution to UK energy supply ? Suleiman Abu-Sharkh, Rachel Li, Tom

Watson, Andrew

465

The National Ignition Facility National Ignition Campaign Short Pulse Lasers High-Average-Power Laser  

E-Print Network [OSTI]

-Average-Power Laser NIF-1005-11471 07BEW/dj P9765 Agenda #12;P9516NIF-0805-11197 01EIM/dj Stockpile Stewardship #12;P9504NIF-0404-08345r2 27EIM/ld Basic Science and Cosmology #12;NIF-0702-05346rIFSA Fusion Energy Campaign and point design NIF-0305-10564 23MLS/cld P8719 The NIF Laser User Optics Physics Operations

466

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network [OSTI]

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

467

Disk-averaged Spectra & light-curves of Earth  

E-Print Network [OSTI]

We are using computer models to explore the observational sensitivity to changes in atmospheric and surface properties, and the detectability of biosignatures, in the globally averaged spectra and light-curves of the Earth. Using AIRS (Atmospheric Infrared Sounder) data, as input for atmospheric and surface properties, we have generated spatially resolved high-resolution synthetic spectra using the SMART radiative transfer model, for a variety of conditions, from the UV to the far-IR (beyond the range of current Earth-based satellite data). We have then averaged over the visible disk for a number of different viewing geometries to quantify the sensitivity to surface types and atmospheric features as a function of viewing geometry, and spatial and spectral resolution. These results have been processed with an instrument simulator to improve our understanding of the detectable characteristics of Earth-like planets as viewed by the first generation extrasolar terrestrial planet detection and characterization missions (Terrestrial Planet Finder/Darwin and Life finder). The wavelength range of our results are modelled over are applicable to both the proposed visible coronograph and mid-infrared interferometer TPF architectures. We have validated this model against disk-averaged observations by the Mars Global Surveyor Thermal Emission Spectrometer (MGS TES). This model was also used to analyze Earth-shine data for detectability of planetary characteristics and biosignatures in disk-averaged spectra.

G. Tinetti; V. S. Meadows; D. Crisp; W. Fong; N. Kiang; E. Fishbein; T. Velusamy; E. Bosc; M. Turnbull

2005-02-11T23:59:59.000Z

468

HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB  

SciTech Connect (OSTI)

Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

2012-07-01T23:59:59.000Z

469

averaged lorentz dynamics: Topics by E-print Network  

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

averaged lorentz dynamics First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Dynamics on Lorentz manifolds...

470

average specific absorption: Topics by E-print Network  

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

average specific absorption First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Original Research Specific...

471

IE 361 Module 15 The Average Run Length Concept  

E-Print Network [OSTI]

IE 361 Module 15 The Average Run Length Concept Reading: Section 3.5 of Statistical Quality Assurance Methods for Engineers Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman Electric set of alarm rules to a control charting scheme? The most e¤ective means known for making

Vardeman, Stephen B.

472

Proceedings of the 1991 Socioeconomic Energy Research and Analysis Conference  

SciTech Connect (OSTI)

These proceedings analyze US energy policy as it pertains to minority groups. Example topics include: Economic impacts of the National Energy Strategy on minority and majority households, Utility measures to assist payment-troubled customers, Equity impacts of controlling energy usage through market-based versus regulatory approaches, Technical and planning support for the DOE-HUD initiative for energy efficiency in housing, an analysis of residential energy consumption and expenditures by minority households by home type and housing vintage, and methodical issues in evaluating integrated least cost planning programs.

Not Available

1993-07-01T23:59:59.000Z

473

Record high-average current from a high-brightness photoinjector  

SciTech Connect (OSTI)

High-power, high-brightness electron beams are of interest for many applications, especially as drivers for free electron lasers and energy recovery linac light sources. For these particular applications, photoemission injectors are used in most cases, and the initial beam brightness from the injector sets a limit on the quality of the light generated at the end of the accelerator. At Cornell University, we have built such a high-power injector using a DC photoemission gun followed by a superconducting accelerating module. Recent results will be presented demonstrating record setting performance up to 65 mA average current with beam energies of 4-5 MeV.

Dunham, Bruce; Barley, John; Bartnik, Adam; Bazarov, Ivan; Cultrera, Luca; Dobbins, John; Hoffstaetter, Georg; Johnson, Brent; Kaplan, Roger; Karkare, Siddharth; Kostroun, Vaclav; Li Yulin; Liepe, Matthias; Liu Xianghong; Loehl, Florian; Maxson, Jared; Quigley, Peter; Reilly, John; Rice, David; Sabol, Daniel [Cornell Laboratory for Accelerator-Based Sciences and Education, Cornell University, Ithaca, New York 14853 (United States)] [Cornell Laboratory for Accelerator-Based Sciences and Education, Cornell University, Ithaca, New York 14853 (United States); and others

2013-01-21T23:59:59.000Z

474

Unmet Housing Rehabilitation and Household Goods Needs in Texas During Katrina-Rita, 2005  

E-Print Network [OSTI]

and household 7 goods. Differences in housing needs per confounding variables will be analyzed according to adjusted Census data by county for size. The data will be analyzed using SAS? and mapped using ARC GIS?. Hypothesis 1: Unmet housing renovation... of the variation in housing variables by geographical location overall and per disaster phase. The analyses were conducted using Excel and SAS. The mapping was done using ArcGIS and ArcInfo. 17 CHAPTER III RESULTS There were a...

Finley, Dayna

2012-07-11T23:59:59.000Z

475

TEX-A-SYST: Reducing the Risk of Ground Water Contamination by Improving Household Wastewater Treatment  

E-Print Network [OSTI]

. This publication covers the following topics: 1. Septic tanks/soil absorption systems 2. Quantity of wastewater 3. Quality of wastewater 4. Collection of wastewater 5. Treatment systems 6. Disposal system 7. Assistance with failing systems or new designs 8.... Evaluation table Septic Tanks/Soil Absorption Systems The most common form of on-site waste- water treatment is a septic tank/soil absorption system. In this system, wastewater flows from the household sewage lines into an under- ground septic tank...

Harris, Bill L.; Hoffman, D.; Mazac Jr., F. J.

1997-08-29T23:59:59.000Z

476

Energy and Society Week 2 Handout solution  

E-Print Network [OSTI]

40 liters of diesel provide power to a household? (Assume that 30% of the energy in diesel versus Power - Work refers to an activity involving a force and movement in the direction of the force energy to accomplish work - it is like the "currency" for performing work. - Power is the rate of doing

Kammen, Daniel M.

477

An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has  

E-Print Network [OSTI]

Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

478

Development of program implementation, evaluation, and selection tools for household water treatment and safe storage systems in developing countries  

E-Print Network [OSTI]

Over the past six years, the MIT Department of Civil and Environmental Engineering's Master of Engineering program has undertaken various projects involved with the design and implementation of a wide range of household ...

Baffrey, Robert Michael Nuval, 1977-

2005-01-01T23:59:59.000Z

479

An evaluation on the environmental consequences of residual CFCs from obsolete household refrigerators in China  

SciTech Connect (OSTI)

Chlorofluorocarbons (CFCs) contained in household refrigerators consist mainly of CFC-11 and CFC-12, which will be eventually released into the environment. Consequentially, environmental releases of these refrigerants will lead to ozone depletion and contribute significantly to the greenhouse effect, if waste refrigerators are not disposed of properly. In the present paper, the potential release of residual CFCs and their substitutes from obsolete household refrigerators in China is examined, and their contributions to ozone depletion and greenhouse effect are compared with those of other recognized ozone-depleting substances (ODS) and greenhouse gases (GHGs). The results imply that annual potential amounts of released residual CFC-11 and CFC-12 will reach their maximums at 4600 and 2300 tons, respectively in 2011, and then decrease gradually to zero until 2020. Meanwhile, the amounts of their most widely used substitutes HCFC-141b and HFC-134a will keep increasing. Subsequently, the contribution ratio of these CFCs and their substitutes to ozone depletion will remain at 25% through 2011, and reach its peak value of 34% by 2018. The contribution to greenhouse effect will reach its peak value of 0.57% by 2010. Moreover, the contribution ratio of these CFCs to the total global release of CFCs will steadily increase, reaching its peak of 15% by 2018. Thus, this period from 2010 to 2018 is a crucial time during which residual CFCs and their substitutes from obsolete household refrigerators in China will contribute significantly to ozone depletion.

Zhao Xiangyang; Duan Huabo [Department of Environmental Science and Engineering, Tsinghua University, Beijing (China); Li Jinhui, E-mail: jinhui@tsinghua.edu.cn [Department of Environmental Science and Engineering, Tsinghua University, Beijing (China)

2011-03-15T23:59:59.000Z

480

Human Capacity Building in Energy Efficiency and Renewable Energy System Maintenance for the Yurok Tribe  

SciTech Connect (OSTI)

From July 2005 to July 2007, the Schatz Energy Research Center (SERC) assisted the Yurok Tribe in the implementation of a program designed to build the Tribe’s own capacity to improve energy efficiency and maintain and repair renewable energy systems in Tribal homes on the Yurok Reservation. Funding for this effort was provided by the U.S. Department of Energy’s Tribal Program under First Steps grant award #DE-FG36-05GO15166. The program’s centerpiece was a house-by-house needs assessment, in which Tribal staff visited and conducted energy audits at over fifty homes. The visits included assessment of household energy efficiency and condition of existing renewable energy systems. Staff also provided energy education to residents, evaluated potential sites for new household renewable energy systems, and performed minor repairs as needed on renewable energy systems.

Engel, R. A.' Zoellick, J J.

2007-07-31T23:59:59.000Z

Note: This page contains sample records for the topic "average household energy" 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

NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households  

E-Print Network [OSTI]

Ho u s e h o ld s The New York legislature passed the GreenJobs-Green New York (GJGNY) Act in 2009. Administered by theand training for various ‘green- collar’ careers. Launched

Zimring, Mark

2011-01-01T23:59:59.000Z

482

Energy use of US residential refrigerators and freezers: function derivation based on household and climate characteristics  

E-Print Network [OSTI]

all units in our da- taset. (AHAM) (see Appendix 7-B in DOEownership provided by AHAM (2010, personal communication).in ownership provided by AHAM to weight the RECS ownership

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

483

Energy use of US residential refrigerators and freezers: function derivation based on household and climate characteristics  

E-Print Network [OSTI]

residential refrigerators and freezers: function derivationsecond most-used) refrigerators, and freezers, and residualfor more efficient refrigerators and freezers, as well as

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

484

Do Households Smooth Small Consumption Shocks? Evidence from Anticipated and Unanticipated Variation in Home Energy Costs  

E-Print Network [OSTI]

oil prices show a similar increase in the later years of the sample, but show a much less pronounced seasonal cycle

Cullen, Julie Berry; Friedberg, Leora; Wolfram, Catherine

2005-01-01T23:59:59.000Z

485

Competition Helps Kids Learn About Energy and Save Their Households Some  

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 Rank EERE:YearRound-Up fromDepartmentTieCelebrate Earth Codestheat TwoDepartment ofComparison

486

NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households  

E-Print Network [OSTI]

for the Weatherization Assistance Program. GJGNY Tier 2Programs Program Weatherization Assistance Program 11 (WAP)

Zimring, Mark

2011-01-01T23:59:59.000Z

487

Development of a high average current polarized electron source with long cathode operational lifetime  

SciTech Connect (OSTI)

Substantially more than half of the electromagnetic nuclear physics experiments conducted at the Continuous Electron Beam Accelerator Facility of the Thomas Jefferson National Accelerator Facility (Jefferson Laboratory) require highly polarized electron beams, often at high average current. Spin-polarized electrons are produced by photoemission from various GaAs-based semiconductor photocathodes, using circularly polarized laser light with photon energy slightly larger than the semiconductor band gap. The photocathodes are prepared by activation of the clean semiconductor surface to negative electron affinity using cesium and oxidation. Historically, in many laboratories worldwide, these photocathodes have had short operational lifetimes at high average current, and have often deteriorated fairly quickly in ultrahigh vacuum even without electron beam delivery. At Jefferson Lab, we have developed a polarized electron source in which the photocathodes degrade exceptionally slowly without electron emission, and in which ion back bombardment is the predominant mechanism limiting the operational lifetime of the cathodes during electron emission. We have reproducibly obtained cathode 1/e dark lifetimes over two years, and 1/e charge density and charge lifetimes during electron beam delivery of over 2?105???C/cm2 and 200 C, respectively. This source is able to support uninterrupted high average current polarized beam delivery to three experimental halls simultaneously for many months at a time. Many of the techniques we report here are directly applicable to the development of GaAs photoemission electron guns to deliver high average current, high brightness unpolarized beams.

C. K. Sinclair; P. A. Adderley; B. M. Dunham; J. C. Hansknecht; P. Hartmann; M. Poelker; J. S. Price; P. M. Rutt; W. J. Schneider; M. Steigerwald

2007-02-01T23:59:59.000Z

488

Performance Evaluation of A Household Refrigerator Using Cuo Nanoparticle Lubricant Mixture and Various Other Compressor Oils with Different Condenser Modes  

E-Print Network [OSTI]

Abstract:- The objective of this paper was to study the performance of household refrigerator having both air and water-cooled condenser, with 0.06 % mass fraction CuO nanoparticle-lubricant mixture and different types of compressor oils. The experiment was done using HFC134a as the refrigerant, CuO nanoparticles, Polyol-ester oil (POE) oil which is used as the conventional lubricant in the household refrigerator and SUNISO 3GS mineral oil as the lubricant alternatively. The result indicates that the refrigerator performance had improved while using CuO nanoparticle-lubricant mixture. The performance was also improved when HFC134a/SUNISO 3GS mineral oil system was used instead of HFC134a/POE oil system and there was also an enhancement when water-cooled condenser was used instead of the conventional air-cooled condenser on all load conditions. The HFC134a/CuO/SUNISO 3GS mineral oil system works normally and safely in the refrigerator. HFC134a/CuO/SUNISO 3GS mineral oil system reduced the energy consumption between 12 % and 19 % when compared with the HFC134a/POE oil system and between 9 % and 14 % while working with water-cooled condenser on various load conditions. There was also an enhancement in coefficient of performance (COP) when CuO nanoparticle-lubricant mixture was used instead of POE oil as the lubricant. The water cooled heat exchanger was designed and the system was modified by retrofitting it, along with the conventional air-cooled condenser by making a bypass line and thus the system can be utilized as a waste heat recovery unit. Experimental result shows that about 200 litres of hot water at a temperature of about 58ºC over a day can be generated. Techno economic analysis shows that the installation cost and running cost of the waste heat recovery system for a day is much lower than that of a conventional

Sreejith. K

489

Characterizing Walk Trips in communities by Using Data from 2009 National Household Travel Survey, American Community Survey, and Other Sources  

SciTech Connect (OSTI)

Non-motorized travel (i.e. walking and bicycling) are of increasing interest to the transportation profession, especially in context with energy consumption, reducing vehicular congestion, urban development patterns, and promotion of healthier life styles. This research project aimed to identify factors impacting the amount of travel for both walk and bike trips at the Census block group or tract level, using several public and private data sources. The key survey of travel behavior is the 2009 National Household Travel Survey (NHTS) which had over 87,000 walk trips for persons 16 and over, and over 6000 bike trips for persons 16 and over. The NHTS, in conjunction with the Census Bureau s American Community Survey, street density measures using Census Bureau TIGER, WalkScore , Nielsen Claritas employment estimates, and several other sources were used for this study. Stepwise Logistic Regression modeling techniques as well as Discriminant Analysis were applied using the integrated data set. While the models performed reasonably well for walk trips, travel by bike was abandoned due to sparseness of data. This paper discusses data sources utilized and modeling processes conducted under this study. It also presents a summary of findings and addresses data challenges and lesson-learned from this research effort.

Hwang, Ho-Ling [ORNL] [ORNL; Reuscher, Tim [Macrosys] [Macrosys; Wilson, Daniel W [ORNL] [ORNL; Murakami, Elaine [FHWA USDOT] [FHWA USDOT

2013-01-01T23:59:59.000Z

490

A Multivariate Moving Average Control Chart for Photovoltaic Processes  

E-Print Network [OSTI]

Abstract—For the electrical metrics that describe photovoltaic cell performance are inherently multivariate in nature, use of a univariate, or one variable, statistical process control chart can have important limitations. Development of a comprehensive process control strategy is known to be significantly beneficial to reducing process variability that ultimately drives up the manufacturing cost photovoltaic cells. The multivariate moving average or MMA chart, is applied to the electrical metrics of photovoltaic cells to illustrate the improved sensitivity on process variability this method of control charting offers. The result show the ability of the MMA chart to expand to as any variables as needed, suggests an application with multiple photovoltaic electrical metrics being used in concert to determine the processes state of control. Keywords—The multivariate moving average control chart, Photovoltaic processes control, Multivariate system. I.

Chunchom Pongchavalit

491

Better than Average? - Green Building Certification in International Projects  

E-Print Network [OSTI]

. An Enterprise of the Ebert-Consulting Group 1004 Pennsylvania Avenue, SE Washington, D.C. 20003, USA 00 12 02/ 6 08 - 13 34 o.baumann@eb-engineers.com Better than Average? - Green Building Certification in International Projects Green Building..., green building rating systems focus on sustainability for the entire life-cycle of buildings and therefore offer great opportunities for enhancing building operation, when applied and used appropriately. This presentation gives an overview...

Baumann, O.

2008-01-01T23:59:59.000Z

492

Average dynamics of a finite set of coupled phase oscillators  

SciTech Connect (OSTI)

We study the solutions of a dynamical system describing the average activity of an infinitely large set of driven coupled excitable units. We compared their topological organization with that reconstructed from the numerical integration of finite sets. In this way, we present a strategy to establish the pertinence of approximating the dynamics of finite sets of coupled nonlinear units by the dynamics of its infinitely large surrogate.

Dima, Germán C., E-mail: gdima@df.uba.ar; Mindlin, Gabriel B. [Laboratorio de Sistemas Dinámicos, IFIBA y Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 1, Ciudad Universitaria, Buenos Aires (Argentina)] [Laboratorio de Sistemas Dinámicos, IFIBA y Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 1, Ciudad Universitaria, Buenos Aires (Argentina)

2014-06-15T23:59:59.000Z

493

ENERGY FLOWS CLIMATE CHANGE  

E-Print Network [OSTI]

ENERGY FLOWS FORCINGS CLIMATE CHANGE A REALLY TOUGH PROBLEM Stephen E. Schwartz, BNL, 7-20-11 www average temperature 15°C or 59°F #12;ATMOSPHERIC RADIATION Power per area Energy per time per area Unit" temperature to radiative flux. #12;GLOBAL ENERGY BALANCE Global and annual average energy fluxes in watts per

Schwartz, Stephen E.

494

Technical support document: Energy efficiency standards for consumer products: Room air conditioners, water heaters, direct heating equipment, mobile home furnaces, kitchen ranges and ovens, pool heaters, fluorescent lamp ballasts and television sets. Volume 3, Water heaters, pool heaters, direct heating equipment, and mobile home furnaces  

SciTech Connect (OSTI)

This is Volume 3 in a series of documents on energy efficiency of consumer products. This volume discusses energy efficiency of water heaters. Water heaters are defined by NAECA as products that utilize oil, gas, or electricity to heat potable water for use outside the heater upon demand. These are major appliances, which use a large portion (18% on average) of total energy consumed per household (1). They differ from most other appliances in that they are usually installed in obscure locations as part of the plumbing and are ignored until they fail. Residential water heaters are capable of heating water up to 180{degrees}F, although the setpoints are usually set lower.

Not Available

1993-11-01T23:59:59.000Z

495

average observational quantities: Topics by E-print Network  

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

proposed observationally viable alternative to homogeneous cosmology with smooth dark energy, the timescape cosmology. In the timescape model cosmic acceleration is realized as an...

496

averaged photopalpebral reflex: Topics by E-print Network  

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

consistency among code running on loosely coupled processors. In order to achieve high energy efficiency without sacrificing performance much, the Reflex DSM leverages (i) extreme...

497

Modeling an Application's Theoretical Minimum and Average Transactional  

Office of Scientific and Technical Information (OSTI)

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) "ofEarlyEnergyDepartmentNationalRestart of the ReviewwillSpeedingandofEnergy,ofEnergy,TechnicalResponse

498

Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal immersion (b). The degradation using immersion is mostly caused by  

E-Print Network [OSTI]

Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal of the complete eye was calculated by the averaged Zernike coefficients measured on 532 eyes. All PSFs were). The PSFs were calculated by averaging Zernike coefficients measured from 228 eyes. Both PSFs were

Ribak, Erez

499

Average Fe K-alpha emission from distant AGN  

E-Print Network [OSTI]

One of the most important parameters in the XRB (X-ray background) synthesis models is the average efficiency of accretion onto SMBH (super-massive black holes). This can be inferred from the shape of broad relativistic Fe lines seen in X-ray spectra of AGN (active galactic nuclei). Several studies have tried to measure the mean Fe emission properties of AGN at different depths with very different results. We compute the mean Fe emission from a large and representative sample of AGN X-ray spectra up to redshift ~ 3.5. We developed a method of computing the rest-frame X-ray average spectrum and applied it to a large sample (more than 600 objects) of type 1 AGN from two complementary medium sensitivity surveys based on XMM-Newton data, the AXIS and XWAS samples. This method makes use of medium-to-low quality spectra without needing to fit complex models to the individual spectra but with computing a mean spectrum for the whole sample. Extensive quality tests were performed by comparing real to simulated data, and a significance for the detection of any feature over an underlying continuum was derived. We detect with a 99.9% significance an unresolved Fe K-alpha emission line around 6.4 keV with an EW ~ 90 eV, but we find no compelling evidence of any significant broad relativistic emission line in the final average spectrum. Deviations from a power law around the narrow line are best represented by a reflection component arising from cold or low-ionization material. We estimate an upper limit for the EW of any relativistic line of 400 eV at a 3 sigma confidence level. We also marginally detect the so-called Iwasawa-Taniguchi effect on the EW for the unresolved emission line, which appears weaker for higher luminosity AGN.

A. Corral; M. J. Page; F. J. Carrera; X. Barcons; S. Mateos; J. Ebrero; M. Krumpe; A. Schwope; J. A. Tedds; M. G. Watson

2008-10-02T23:59:59.000Z

500

Hilbert Space Average Method and adiabatic quantum search  

E-Print Network [OSTI]

We discuss some aspects related to the so-called Hilbert space Average Method, as an alternative to describe the dynamics of open quantum systems. First we present a derivation of the method which does not make use of the algebra satisfied by the operators involved in the dynamics, and extend the method to systems subject to a Hamiltonian that changes with time. Next we examine the performance of the adiabatic quantum search algorithm with a particular model for the environment. We relate our results to the criteria discussed in the literature for the validity of the above-mentioned method for similar environments.

A. Perez

2009-01-19T23:59:59.000Z