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


1

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

2

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

3

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

4

Residential Sector Demand Module 1999, Model Documentation  

Reports and Publications (EIA)

This is the fifth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1999.

John H. Cymbalsky

1998-12-01T23:59:59.000Z

5

Energy Efficiency Report: Chapter 3: Residential Sector  

U.S. Energy Information Administration (EIA)

3. The Residential Sector Introduction. More than 90 million single-family, multifamily, and mobile home households encompass the residential sector.

6

Residential Sector Demand Module 1998, Model Documentation  

Reports and Publications (EIA)

This is the fourth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1998. Since last year, severalnew end-use services were added to the module, including: Clothes washers,dishwashers, furnace fans, color televisions, and personal computers. Also, as with allNEMS modules, the forecast horizon has been extended to the year 2020.

John H. Cymbalsky

1998-01-01T23:59:59.000Z

7

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

Residential Sector Key Indicators and Residential Sector Key Indicators and Consumption Dataset Summary Description This dataset is the 2011 United States Residential Sector Key Indicators and Consumption, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. Source EIA Date Released December 16th, 2010 (4 years ago) Date Updated Unknown Keywords consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon Residential Sector Key Indicators and Consumption (xls, 62.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm

8

Residential Sector Demand Module 1997, Model Documentation  

Reports and Publications (EIA)

This is the third edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System. It reflects changes made to the moduleover the past year for the Annual Energy Outlook 1997. Since last year, a subroutinewas added to the model which allows technology and fuel switching when space heaters,heat pump air conditioners, water heaters, stoves, and clothes dryers are retired in bothpre-1994 and post-1993 single-family homes. Also, a time-dependant function forcomputing the installed capital cost of equipment in new construction and the retail costof replacement equipment in existing housing was added.

John H. Cymbalsky

1997-01-01T23:59:59.000Z

9

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Efficiency Standards in the Residential Electricity Sector.France. USDOE (2001). Residential Energy Consumption Survey,long-term response of residential cooling energy demand to

McNeil, Michael A.

2010-01-01T23:59:59.000Z

10

Residential Sector Demand Module 2000, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

1999-12-01T23:59:59.000Z

11

Residential Sector Demand Module 2004, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2004-02-01T23:59:59.000Z

12

Residential Sector Demand Module 2001, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2000-12-01T23:59:59.000Z

13

Residential Sector Demand Module 2002, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2001-12-01T23:59:59.000Z

14

Residential Sector Demand Module 2005, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2005-04-01T23:59:59.000Z

15

Residential Sector Demand Module 2003, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2003-01-01T23:59:59.000Z

16

Residential Sector Demand Module 2008, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2008-10-10T23:59:59.000Z

17

Residential Sector Demand Module 2006, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2006-03-01T23:59:59.000Z

18

Residential Sector Demand Module 2009, Model Documentation  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2009-05-01T23:59:59.000Z

19

Residential Sector Demand Module 2007, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

John H. Cymbalsky

2007-04-26T23:59:59.000Z

20

Residential sector: the demand for energy services  

Science Conference Proceedings (OSTI)

The purpose of this report is to project the demand for residential services, and, thereby, the demand for energy into the future. The service demands which best represent a complete breakdown of residential energy consumption is identified and estimates of the amount of energy, by fuel type, used to satisfy each service demand for an initial base year (1978) are detailed. These estimates are reported for both gross (or input) energy use and net or useful energy use, in the residential sector. The various factors which affect the consumption level for each type of energy and each identified service demand are discussed. These factors include number of households, appliance penetration, choice of fuel type, technical conversion efficiency of energy using devices, and relative energy efficiency of the building shell (extent of insulation, resistance to air infiltration, etc.). These factors are discussed relative to both the present and expected future values, for the purpose of projections. The importance of the housing stock to service demand estimation and projection and trends in housing in Illinois are discussed. How the housing stock is projected based on population and household projections is explained. The housing projections to the year 2000 are detailed. The projections of energy consumption by service demand and fuel type are contrasted with the various energy demand projections in Illinois Energy Consumption Trends: 1960 to 2000 and explains how and why the two approaches differ. (MCW)

Not Available

1981-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

38 3.2.1. SDG&E Residential Electric Rates and TheirFootprint of Single-Family Residential New Construction.Solar photovoltaic financing: residential sector deployment,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

22

Energy Data Sourcebook for the U.S. Residential Sector  

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

Data Sourcebook for the U.S. Residential Sector Data Sourcebook for the U.S. Residential Sector Title Energy Data Sourcebook for the U.S. Residential Sector Publication Type Report LBNL Report Number LBNL-40297 Year of Publication 1997 Authors Wenzel, Thomas P., Jonathan G. Koomey, Gregory J. Rosenquist, Marla C. Sanchez, and James W. Hanford Date Published 09/1997 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA ISBN Number LBNL-40297, UC-1600 Keywords Enduse, Energy End-Use Forecasting, EUF Abstract Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl.gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

23

Country Review of Energy-Efficiency Financial Incentives in the Residential Sector  

E-Print Network (OSTI)

Financial Incentives in the Residential Sector Stephane deFinancial Incentives in the Residential Sector Stephane desavings achieved in the residential sector. In contrast,

Can, Stephane de la Rue du

2011-01-01T23:59:59.000Z

24

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

E-Print Network (OSTI)

Efficiency Scenario (non-residential sector only) – AssumesIndia: Industry and Non Residential Sectors Jayant Sathaye,and support. The Non Residential sector analysis benefited

Sathaye, Jayant

2011-01-01T23:59:59.000Z

25

Residential Commercial Industrial Year  

Gasoline and Diesel Fuel Update (EIA)

4 4 Residential Commercial Industrial Year and State Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers 2000 Total ................... 4,996,179 59,252,728 3,182,469 5,010,817 8,142,240 220,251 2001 Total ................... 4,771,340 60,286,364 3,022,712 4,996,446 7,344,219 217,026 2002 Total ................... 4,888,816 61,107,254 3,144,169 5,064,384 7,507,180 205,915 2003 Total ................... R 5,079,351 R 61,871,450 R 3,179,493 R 5,152,177 R 7,150,396 R 205,514 2004 Total ................... 4,884,521 62,469,142 3,141,653 5,135,985 7,250,634 212,191 Alabama ...................... 43,842 806,175 26,418 65,040 169,135 2,800 Alaska.......................... 18,200 104,360 18,373 13,999 46,580 10 Arizona ........................

26

Solar Photovoltaic Financing: Residential Sector Deployment  

DOE Green Energy (OSTI)

This report presents the information that homeowners and policy makers need to facilitate PV financing at the residential level. The full range of cash payments, bill savings, and tax incentives is covered, as well as potentially available solar attribute payments. Traditional financing is also compared to innovative solutions, many of which are borrowed from the commercial sector. Together, these mechanisms are critical for making the economic case for a residential PV installation, given its high upfront costs. Unfortunately, these programs are presently limited to select locations around the country. By calling attention to these innovative initiatives, this report aims to help policy makers consider greater adoption of these models to benefit homeowners interested installing a residential PV system.

Coughlin, J.; Cory, K.

2009-03-01T23:59:59.000Z

27

Greening the Residential Sector: Efforts to Transform the Homebuilding  

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

Greening the Residential Sector: Efforts to Transform the Homebuilding Greening the Residential Sector: Efforts to Transform the Homebuilding Market Speaker(s): Doug King Date: October 16, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Rich Brown The world is changing- regional and global environmental problems have gained prominence, natural resources are becoming increasingly scarce and expensive, people spend more time indoors, and consumers have higher expectations for comfort than ever before - but the way new homes are built has remained largely stagnant. This is a significant problem, as more than 1.5 million new homes are built each year and the typical home will last anywhere between 50 and 75 years. There are various strategies for driving progress, including upgrades to local building codes and increased minimum

28

Table A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | Annual Energy Outlook 2013 Reference case Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Energy Information Administration / Annual Energy Outlook 2013 Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Key indicators and consumption Reference case Annual growth 2011-2040 (percent) 2010 2011 2020 2025 2030 2035 2040 Key indicators Households (millions) Single-family ....................................................... 82.85 83.56 91.25 95.37 99.34 103.03 106.77 0.8% Multifamily ........................................................... 25.78 26.07 29.82 32.05 34.54 37.05 39.53 1.4%

29

Figure 58. Residential sector adoption of renewable energy ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 58. Residential sector adoption of renewable energy technologies in two cases, 2005-2040 PV and wind (gigawatts) Heat pump ...

30

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

31

Residential Sector Demand Module 1995, Model Documentation  

Reports and Publications (EIA)

This updated version of the NEMS Residential Module Documentation includes changesmade to the residential module for the production of the Annual Energy Outlook 1995.

John H. Cymbalsky

1995-03-01T23:59:59.000Z

32

Projected Regional Impacts of Appliance Efficiency Standards for the U.S. Residential Sector  

E-Print Network (OSTI)

Price. 1994. Baseline Data for the Residential Sector andDevelopment of a Residential Forecasting Database. LawrenceG . Koomey. 1994. Residential HVAC Data, Assumptions and

Koomey, J.G.

2010-01-01T23:59:59.000Z

33

Solar Photovoltaic Financing: Residential Sector Deployment  

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

(a subsidiary of U.S. Bancorp), AFC First Financial Corporation, and Gemstone Lease Management, LLC, announced a residential solar lease program for homeowners who meet certain...

34

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

and 2% of total natural gas usage in the residential sector.ignition systems, which will decrease gas usage andincrease electricity usage for gas ranges. Figure 11.4. Cost

Wenzel, T.P.

2010-01-01T23:59:59.000Z

35

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

the U.S. Department of Energy (US DOE). It is the mostmodels that forecast US residential energy consumption bySurveys of sector energy use (US DOE 1990a; A G A 1991; EEI

Wenzel, T.P.

2010-01-01T23:59:59.000Z

36

EIA Data: 2011 United States Residential Sector Key Indicators...  

Open Energy Info (EERE)

Residential Sector Key Indicators and Consumption This dataset is the 2011 United...

37

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 (Million Short Tons) Year: Producers and Distributors: Consumers: Total: Residential

38

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect

Electricity is the major fuel (over 99%) used in the residential, commercial, and industrial sectors in Bahrain. In 1992, the total annual electricity consumption in Bahrain was 3.45 terawatt-hours (TWh), of which 1.95 TWh (56%) was used in the residential sector, 0.89 TWh (26%) in the commercial sector, and 0.59 TWh (17%) in the industrial sector. Agricultural energy consumption was 0.02 TWh (less than 1%) of the total energy use. In Bahrain, most residences are air conditioned with window units. The air-conditioning electricity use is at least 50% of total annual residential use. The contribution of residential AC to the peak power consumption is even more significant, approaching 80% of residential peak power demand. Air-conditioning electricity use in the commercial sector is also significant, about 45% of the annual use and over 60% of peak power demand. This paper presents a cost/benefit analysis of energy-efficient technologies in the residential sector. Technologies studied include: energy-efficient air conditioners, insulating houses, improved infiltration, increasing thermostat settings, efficient refrigerators and freezers, efficient water heaters, efficient clothes washers, and compact fluorescent lights. We conservatively estimate a 32% savings in residential electricity use at an average cost of about 4 fils per kWh. (The subsidized cost of residential electricity is about 12 fils per kWh. 1000 fils = 1 Bahrain Dinar = US$ 2.67). We also discuss major policy options needed for implementation of energy-efficiency technologies.

Akbari, H. [Lawrence Berkeley National Lab., CA (United States); Morsy, M.G.; Al-Baharna, N.S. [Univ. of Bahrain, Manama (Bahrain)

1996-08-01T23:59:59.000Z

39

Buildings Energy Data Book: 1.2 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Residential Sector Energy Consumption March 2012 1.2.9 Implicit Price Deflators (2005 1.00) Year Year Year 1980 0.48 1990 0.72 2000 0.89 1981 0.52 1991 0.75 2001 0.91 1982 0.55...

40

The Residential Sector: Changing Markets, Changing Technologies  

Science Conference Proceedings (OSTI)

Residential customers in the U.S. are confronted with markets for home services that continue to change rapidly. Not only are markets for traditional "utilities" such as telecommunications services, energy services, and entertainment services transitioning to competitive choice scenarios, but the technology which customers use in each of these arenas is changing rapidly as well. This report outlines the way that customers are responding to these changing market dynamics, in terms of the way they think ab...

1999-12-02T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network (OSTI)

-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995 consumption increased at an annual rate of 4.6%. In 1995, miscellaneous electricity consumption totaled 235LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G

42

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA, Consumers' Directory of Certified Efficiency Ratings for Heating and Water Heating Equipment, Apr. 2002, for water heater capacity; and American Gas Association, Gas Facts 1998, December 1999, www.aga.org for range and clothes dryer consumption. Operating Characteristics of Natural Gas Appliances in the Residential Sector

43

Statistical Review of UK Residential Sector Electrical Loads  

E-Print Network (OSTI)

This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

Tsagarakis, G; Kiprakis, A E

2013-01-01T23:59:59.000Z

44

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

1989. Residential End-Use Energy Consumption: A Survey ofCathy R. Zoi. 1986. Unit Energy Consumption of ResidentialResidential Unit Energy Consumption Coefficients, Palo Alto,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

45

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

the predominant residential electricity rate structure. Itresidential electricity customers, over 90%, are on the standard domestic residential (DR) rate,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

46

Energy data sourcebook for the US residential sector  

Science Conference Proceedings (OSTI)

Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment efficiency; historical and current appliance and equipment market shares; appliances and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl. gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

Wenzel, T.P.; Koomey, J.G.; Sanchez, M. [and others

1997-09-01T23:59:59.000Z

47

LBL-34044 UC-1600 RESIDENTIAL SECTOR END-USE FORECASTING WITH...  

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

primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast...

48

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 Cost of a Generic Quad Used in the Residential Sector ($2010 Billion) (1) Residential 1980 10.45 1981 11.20 1982 11.58 1983 11.85 1984 11.65 1985 11.43 1986 10.90 1987 10.55 1988 10.18 1989 9.98 1990 10.12 1991 9.94 1992 9.78 1993 9.77 1994 9.78 1995 9.44 1996 9.44 1997 9.59 1998 9.23 1999 8.97 2000 9.57 2001 10.24 2002 9.33 2003 10.00 2004 10.32 2005 11.10 2006 11.60 2007 11.61 2008 12.29 2009 11.65 2010 9.98 2011 9.99 2012 9.87 2013 9.77 2014 9.76 2015 9.88 2016 9.85 2017 9.83 2018 9.86 2019 9.88 2020 9.91 2021 10.00 2022 10.09 2023 10.11 2024 10.12 2025 10.09 2026 10.10 2027 10.13 2028 10.11 2029 10.06 2030 10.06 2031 10.13 2032 10.23 2033 10.34 2034 10.45 2035 10.57 Note(s): 1) See Table 1.5.1 for generic quad definition. This table provides the consumer cost of a generic quad in the buildings sector. Use this table to estimate the average consumer cost savings resulting from the savings of a generic (primary) quad in the buildings sector. 2) Price of

49

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

E-Print Network (OSTI)

with Residential Electricity Demand in India's Future - HowThe Boom of Electricity Demand in the Residential Sector instraightforward. Electricity demand per end use and region

Letschert, Virginie

2010-01-01T23:59:59.000Z

50

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

E-Print Network (OSTI)

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

Madan, Tanvir Singh

2012-01-01T23:59:59.000Z

51

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

J.E. 1986. The LBL Residential Energy Model. LawrenceInc. MEANS. 1992. Residential Cost Data: 11th Annual EditionInstitute. 1989. Residential End-Use Energy Consumption: A

Wenzel, T.P.

2010-01-01T23:59:59.000Z

52

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Regression Results for Appliances Refrigerator Coefficientdiffusion of electrical appliances in the residential sectorfor modeling residential appliance uptake as a function of

McNeil, Michael A.

2010-01-01T23:59:59.000Z

53

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 2005 Household Energy Expenditures, by Vintage ($2010) | Year | Prior to 1950 887 | 22% 1950 to 1969 771 | 22% 1970 to 1979 736 | 16% 1980 to 1989 741 | 16% 1990 to 1999 752 | 16% 2000 to 2005 777 | 9% | Average 780 | Total 100% Note(s): Source(s): 1.24 2,003 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 for 2005 expenditures; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators.

54

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect

This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

55

EIA Energy Efficiency-Residential Sector Energy Intensities, 1978-2001  

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

Residential Sector Energy Intensities Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of residential sector energy consumption and energy intensities for 1978 -1984, 1987, 1990, 1993, 1997, 2001 and 2005 based on the Residential Energy Consumption Survey (RECS). Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF By Type of Housing Unit (Table 1a) html Table 1a excel table 1a. excel table 1a. Weather-Adjusted by Type of Housing Unit (Table 1b) html table 1b excel table 1b excel table 1b Total Primary Energy Consumption (U.S. and Census Region) By Type of Housing Unit (Table 1c) html Table 1c excel table 1c excel table 1c Weather-Adjusted by Type of Housing Unit (Table 1d)

56

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Cason. 1990. Residential Energy Usage Comparison Project: AnResearch, Inc. 1985. Energy Usage Analysis of Residentialthere are few data on the energy usage of new buildings,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

57

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

Square footage includes attic, garage, and basement square footage. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. Share of Average Home Size (1) Average Home Size...

58

Carbon dioxide emissions grow in the residential sector ...  

U.S. Energy Information Administration (EIA)

Accounting for this increased CO 2 share is the 19-fold growth in residential ... illustrates the importance of the relationship of power plant ...

59

Solar Adoption and Energy Consumption in the Residential Sector.  

E-Print Network (OSTI)

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

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

60

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Options for Residential Appliances and Space ConditioningAHAM, Association of Home Appliance Manufacturers. 1991.AHAM, Association of Home Appliance Manufacturers. 1996.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

3 3 Residential Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Electricity Total 1980 158.5 1981 164.0 1982 172.3 1983 176.1 1984 178.5 1985 176.8 1986 169.2 1987 167.1 1988 170.1 1989 172.8 1990 168.2 1991 169.9 1992 166.7 1993 175.6 1994 174.9 1995 172.7 1996 181.8 1997 180.0 1998 173.5 1999 174.0 2000 192.8 2001 203.3 2002 192.1 2003 208.8 2004 215.1 2005 236.7 2006 240.0 2007 246.1 2008 259.6 2009 241.6 2010 251.8 2011 251.3 2012 247.1 2013 240.3 2014 239.4 2015 241.7 2016 241.8 2017 243.0 2018 244.7 2019 246.4 2020 247.9 2021 250.4 2022 253.3 2023 255.6 2024 257.8 2025 260.3 2026 263.2 2027 266.0 2028 267.6 2029 268.1 2030 269.7 2031 272.9 2032 276.6 2033 280.4 2034 284.6 2035 288.6 Note(s): Source(s): 1) Residential petroleum products include distillate fuel oil, LPG, and kerosene. EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011, Table 2 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table

62

State energy price projections for the residential sector, 1993--1994  

Science Conference Proceedings (OSTI)

The purpose of tills report, State Energy Price Projections for the Residential Sector, 1993--1994, is to provide projections of State-level residential prices for 1993 and 1994 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1992 are also included for comparison purposes. This report also explains the methodology used to produce estimates and the limitations. This report is provided at the request of the Administration for Children and Families, US Department of Health and Human Services, which provides State grants to assist eligible households in meeting the costs of home energy use for space heating or cooling under the Low Income Home Energy Assistance Program (LIHEAP). Funds for LIHEAP are allocated according to each State`s share of home energy expenditures by low income households, if Congress allocates more than $1.975 billion for LIHEAP. Whenever less than $1.975 billion is allocated for LIHEAP, funds are allocated based on the allotment percentages for fiscal year 1984. This has been the case for the last several years. Each State`s share of the funds above $1.975 billion is determined using a formula based, in part, on the price estimates in this report. Several data sources and factors are used in deriving estimates on each State`s share of home energy expenditures by low-income households. One such factor is State-level residential energy prices. The State-level residential energy price projections presented in this report are derived from a set of forecasting equations estimated for each State, based on annual time series data from the Energy Information Administration`s (EIA) State Energy Price and Expenditure Report (SEPER) database, the EIA Natural Gas Monthly (NGM), the EIA Petroleum Marketing Annual (PMA), and the EIA Electric Power Monthly (EPM).

Not Available

1993-11-01T23:59:59.000Z

63

Major models and data sources for residential and commercial sector energy conservation analysis. Final report  

SciTech Connect

Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

Not Available

1980-09-01T23:59:59.000Z

64

Potential Energy Choices and Their Determinants for the Residential Sector  

Science Conference Proceedings (OSTI)

This report is part of the Understanding Energy Markets research initiative and is the third in a series of four reports championed by EPRIsolutions to deepen the understanding of the residential marketplace. It is designed to support energy suppliers in predicting and winning market share potential. In particular, it examines residential customers' past switching behavior, reasons for switching electricity providers, profiles of likely electric switchers, and interest in bundled energy offers. The exper...

2000-11-22T23:59:59.000Z

65

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

Science Conference Proceedings (OSTI)

This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analysis supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

Sathaye, Jayant; de la Rue du Can, Stephane; Iyer, Maithili; McNeil, Michael; Kramer, Klaas Jan; Roy, Joyashree; Roy, Moumita; Chowdhury, Shreya Roy

2011-04-15T23:59:59.000Z

66

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 Residential Energy Prices, by Year and Fuel Type ($2010) LPG ($/gal) 1980 2.24 1981 2.51 1982 2.30 1983 2.14 1984 2.10 1985 1.96 1986 1.54 1987 1.42 1988 1.39 1989 1.48 1990 1.69 1991 1.56 1992 1.40 1993 1.33 1994 1.27 1995 1.22 1996 1.37 1997 1.34 1998 1.15 1999 1.16 2000 1.70 2001 1.59 2002 1.42 2003 1.67 2004 1.84 2005 2.36 2006 2.64 2007 2.81 2008 3.41 2009 2.52 2010 2.92 2011 3.62 2012 3.65 2013 3.43 2014 3.60 2015 3.74 2016 3.79 2017 3.86 2018 3.89 2019 3.92 2020 3.96 2021 3.99 2022 4.02 2023 4.07 2024 4.10 2025 4.15 2026 4.19 2027 4.23 2028 4.26 2029 4.30 2030 4.34 2031 4.35 2032 4.38 2033 4.43 2034 4.50 2035 4.55 Source(s): EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011, Table 2, p. 24-25 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A3, p. 6-8 for 2010-2035 and Table G1, p. 215 for fuels' heat content; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

67

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

to 1,499 24% 1,500 to 1,999 16% 2,000 to 2,499 9% 2,500 to 2,999 7% 3,000 or more 11% Total 100% Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC1-3....

68

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

6.9% 5 or more units 2.1% 13.0% 15.0% Mobile Homes 5.1% 1.1% 6.2% Total 70.3% 29.6% 100% Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC3-1 and HC4...

69

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

E-Print Network (OSTI)

G. Koomey. 1994. Residential Appliance Data, Assumptions andunits) Table A 3 : Number of Appliances in Existing Homes (sector, including appliances and heating, ventilation, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

70

State energy price projections for the residential sector, 1992--1993  

Science Conference Proceedings (OSTI)

The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations.

Not Available

1992-09-24T23:59:59.000Z

71

State energy price projections for the residential sector, 1992--1993. [Contains model documentation  

SciTech Connect

The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations.

Not Available

1992-09-24T23:59:59.000Z

72

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

Residential Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Electricity Natural Gas Petroleum (1) Avg. 1980 36.40 8.35 16.77 17.64 1981 38.50 8.88 18.35 19.09 1982 40.15 10.08 17.28 19.98 1983 40.43 11.30 16.08 21.00 1984 38.80 11.02 15.61 20.20 1985 38.92 10.68 14.61 20.10 1986 38.24 9.98 11.88 19.38 1987 37.29 9.22 11.23 18.73 1988 36.22 8.80 10.83 18.02 1989 35.67 8.71 11.96 17.93 1990 35.19 8.63 13.27 18.64 1991 34.88 8.38 12.49 18.31 1992 34.79 8.28 11.23 17.76 1993 34.52 8.47 10.75 17.76 1994 34.04 8.63 10.63 17.87 1995 33.43 8.00 10.33 17.50 1996 32.63 8.21 11.70 17.28 1997 32.34 8.83 11.47 17.69 1998 31.33 8.55 9.96 17.73 1999 30.52 8.29 10.13 17.09 2000 30.13 9.54 14.18 18.06 2001 30.71 11.50 13.98 19.38 2002 29.73 9.24 12.26 17.89 2003 30.05 10.87 14.21 18.88 2004 29.98 11.97 15.54 19.76 2005 30.64 13.66 18.93 21.50 2006 32.67 14.30 21.06 23.34 2007 32.50

73

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

these years, residential electricity consumption grew 49%, aElectricity consumption has increased over the past 20 years,electricity consumption for single-family residences (7,105 kWh/year).

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

74

Model documentation report: Residential sector demand module of the national energy modeling system  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

NONE

1998-01-01T23:59:59.000Z

75

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 2005 Energy Expenditures per Household, by Housing Type and Square Footage ($2010) Per Household Single-Family 1.16 Detached 1.16 Attached 1.20 Multi-Family 1.66 2 to 4 units 1.90 5 or more units 1.53 Mobile Home 1.76 All Homes 1.12 Note(s): Source(s): 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-1 part1; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

76

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

SciTech Connect

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

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

1995-12-01T23:59:59.000Z

77

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

installation Total Electricity Consumption 1 Year Pre & PostGWh total Total Electricity Consumption 1 Year Pre & 2 YearsInstall Total Electricity Consumption 1 Year Pre & 3 Years

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

78

Demand-side Management Strategies and the Residential Sector: Lessons from International Experience  

E-Print Network (OSTI)

in producing a given level of output or activity. It is measured by the quantity of energy required to perform a particular activity (service) expressed as energy per unit of output or activity measure of service (EERE, 2010). In the residential sector...

Haney, Aoife Brophy; Jamasb, Tooraj; Platchkov, Laura M.; Pollitt, Michael G.

79

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 2005 Average Household Expenditures as Percent of Annual Income, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Average Annual Expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other categories are calculated from the Consumer Expenditure Survey (CE). RECS assumed total US households to be 111,090,617 in 2005, while the CE data is based on 117,356,000 "consumer units," which the Bureau of Labor Statistics defines to be financially independent persons or groups of people that use their incomes to make joint expenditure decisions, including all members of a

80

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

3 3 2005 Average Household Expenditures, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Other expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other categories are calculated from the Consumer Expenditure Survey (CE). RECS assumed total US households to be 111,090,617 in 2005, while the CE data is based on 117,356,000 "consumer units," which the Bureau of Labor Statistics defines to be financially independent persons or groups of people that use their incomes to make joint expenditure decisions, including all members of a

Note: This page contains sample records for the topic "year residential sector" 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

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2010 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 38.7 11.2 8.0 19.8 0.0 14.3 72.9 28.9% Space Cooling (3) 0.0 35.4 35.4 14.0% Water Heating (4) 14.3 2.1 2.0 4.0 14.2 32.6 12.9% Lighting 22.6 22.6 9.0% Refrigeration (5) 14.9 14.9 5.9% Electronics (6) 17.8 17.8 7.1% Cooking 2.4 0.8 0.8 6.0 9.2 3.7% Wet Cleaning (7) 0.6 10.7 11.3 4.5% Computers 5.6 5.6 2.2% Other (8) 0.0 4.4 4.4 6.7 11.1 4.4% Adjust to SEDS (9) 13.6 13.6 5.4% Total 56.1 13.3 15.2 29.0 0.0 166.8 251.8 100% Note(s): Source(s): 0.5 0.5 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.5 billion). 3) Fan energy use included. 4) Includes residential recreational water heating ($1.4 billion). 5) Includes refrigerators ($15.3 billion) and freezers ($4.4 billion). 6) Includes color televisions ($11.0

82

Directory of energy efficiency information services for the residential and commercial sectors  

SciTech Connect

This directory is a compilation of organizations which disseminate a wide range of information on the efficient use of energy in the residential and commercial sectors. Each organization's services are defined by the informations' targeted audience, types of services offered, topics and sectors addressed and access terms required. The organizations included in this directory are based on the Guide to Energy Efficiency Information Services for the Residential and Commercial Sectors, June 1987. The information is presented in two formats in this directory, each focusing on different manners of data retrieval. Section One provides a matrix illustrating the information available by the type of energy-efficiency services offered and Section Two presents information on available services in an alphabetized list by the organization name.

Not Available

1988-11-30T23:59:59.000Z

83

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2005 Households and Energy Expenditures, by Income Level ($2010) Energy Expenditures by Household Income Households (millions) Household Less than $10,000 9.9 9% $10,000 to $14,999 8.5 8% $15,000 to $19,999 8.4 8% $20,000 to $29,999 15.1 14% $30,000 to $39,999 13.6 12% $40,000 to $49,999 11.0 10% $50,000 to $74,999 19.8 18% $75,000 to $99,999 10.6 10% $100,000 or more 14.2 13% Total 111.1 100% Note(s): Source(s): 7% 1) See Table 2.3.15 for more on energy burdens. 2) A household is defined as a family, an individual, or a group of up to nine unrelated individuals occupying the same housing unit. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-1 part 2; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators. 2,431 847 3% 2,774 909 3% 1,995

84

Energy-Efficient Water Heating Program for the Residential Sector.  

Science Conference Proceedings (OSTI)

During the power surplus period of the late 1980's, Bonneville sponsored market research which provided an understanding of the market environment in the water heating end-use. The major areas of investigation included market trends, consumer purchasing practices, unit price, and availability of energy-efficient models. In 1988, Bonneville conducted a series of meetings with utilities operating water heater programs. Discussions focused on utility program concerns and the appropriate role for Bonneville as the region seeks efficiency in residential water heating. The design of the Program is based to a large degree on the experiences gained by regional utilities operating water heater incentive programs. In addition, an analysis of incentive programs operated outside the region has been helpful in the development of a regional program. Bonneville is a member of the Appliance Efficiency Group (AEG), formerly the Northwest Appliance Efficiency Group, and participates in discussions on water heating issues as they relate to the Pacific Northwest. The work done with the Appliance Efficiency Group has provided additional input in the development of the Program. This Program has been developed using a Public Involvement Process. A draft program strategy was made available to the public for comment during April 1990. The comments received were considered in the development of this document.

United States. Bonneville Power Administration.

1990-09-01T23:59:59.000Z

85

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

8 8 2035 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 44.3 10.3 7.7 18.6 0.0 16.0 79.0 27.4% Space Cooling (3) 0.0 40.6 40.6 14.1% Water Heating 17.6 1.2 1.2 2.3 17.7 37.6 13.0% Lighting 15.5 15.5 5.4% Refrigeration (4) 17.0 17.0 5.9% Electronics (5) 14.2 14.2 4.9% Wet Cleaning (6) 0.9 10.4 11.3 3.9% Cooking 3.2 0.8 0.8 4.8 8.9 3.1% Computers 8.7 8.7 3.0% Other (7) 0.0 7.7 7.7 47.9 55.7 19.3% Total 66.0 11.5 17.5 29.6 0.0 193.0 288.6 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.8 billion). 3) Fan energy use included. 4) Includes refrigerators ($14.1 billion) and freezers ($2.9 billion). 5) Includes color televisions ($14.2 billion). 6) Includes clothes washers ($0.8 billion), natural gas

86

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

7 7 2025 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 39.7 11.5 7.8 19.9 0.0 15.0 74.5 28.6% Space Cooling (3) 0.0 36.2 36.2 13.9% Water Heating 16.0 1.4 1.3 2.7 17.1 35.9 13.8% Lighting 15.2 15.2 5.8% Refrigeration (4) 15.5 15.5 6.0% Electronics (5) 12.0 12.0 4.6% Wet Cleaning (6) 0.8 9.8 10.5 4.1% Cooking 2.7 0.8 0.8 4.3 7.8 3.0% Computers 7.7 7.7 2.9% Other (7) 0.0 6.4 6.4 38.7 45.0 17.3% Total 59.1 12.9 16.3 29.8 0.0 171.3 260.3 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.7 billion). 3) Fan energy use included. 4) Includes refrigerators ($12.7 billion) and freezers ($2.8 billion). 5) Includes color televisions ($12 billion). 6) Includes clothes washers ($0.8 billion), natural gas

87

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

6 6 2015 Residential Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. LPG Kerosene Total Coal Electricity Total Percent Space Heating (2) 35.0 13.0 8.1 21.6 0.0 14.0 70.6 29.2% Space Cooling (3) 0.0 33.8 33.8 14.0% Water Heating 13.5 1.9 1.5 3.4 15.8 32.7 13.5% Lighting 17.6 17.6 7.3% Refrigeration (4) 15.0 15.0 6.2% Electronics (5) 10.9 10.9 4.5% Wet Cleaning (6) 0.6 10.8 11.4 4.7% Cooking 2.2 0.9 0.9 3.8 6.8 2.8% Computers 6.3 6.3 2.6% Other (7) 0.0 5.2 5.2 31.3 36.5 15.1% Total 51.3 14.9 15.7 31.1 0.0 159.3 241.7 100% Note(s): Source(s): 0.6 0.6 1) Expenditures include coal and exclude wood. 2) Includes furnace fans ($4.6 billion). 3) Fan energy use included. 4) Includes refrigerators ($12.3 billion) and freezers ($2.8 billion). 5) Includes color televisions ($10.9 billion). 6) Includes clothes washers ($1.1 billion), natural gas

88

Building Integrated Photovoltaics (BIPV) in the Residential Sector...  

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

For more than 30 years, there have been strong efforts to accelerate the deployment of solar- electric systems by developing photovoltaic (PV) products that are fully integrated...

89

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

meteorological year (TMY) solar radiation data. The goaleither TMY or actual solar radiation data, and thus servesmodeling (using actual solar radiation data, though this

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

90

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

3 3 Share of Total U.S. Households, by Census Region, Division, and Vintage, as of 2005 Prior to 1950 to 1970 to 1980 to 1990 to 2000 to Region 1950 1969 1979 1989 1999 2005 Northeast 6.7% 5.2% 2.4% 2.1% 1.3% 0.8% 18.5% New England 2.1% 1.2% 0.5% 0.5% 0.3% 0.3% 4.9% Middle Atlantic 4.6% 4.0% 1.9% 1.6% 1.0% 0.5% 13.6% Midwest 5.7% 5.8% 3.6% 2.5% 3.7% 1.7% 23.0% East North Central 4.3% 3.9% 2.7% 1.8% 2.1% 1.1% 16.0% West North Central 1.4% 1.9% 0.9% 0.7% 1.6% 0.6% 7.1% South 4.0% 6.9% 6.4% 7.5% 7.5% 4.3% 36.6% South Atlantic 2.0% 3.4% 3.5% 4.2% 4.3% 2.2% 17.4% East South Central 0.9% 1.3% 0.9% 1.0% 1.3% 0.7% 6.2% West South Central 1.2% 2.3% 4.7% 2.2% 1.8% 1.4% 13.6% West 3.4% 4.6% 4.5% 4.6% 3.1% 1.5% 21.8% Mountain 0.7% 1.2% 1.3% 1.5% 1.3% 0.9% 6.8% Pacific 2.8% 3.4% 3.3% 3.1% 1.8% 0.6% 15.0% United States 19.9% 22.5% 17.0% 16.7% 15.6% 8.3% 100% Source(s): All Vintages EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC10

91

Residential energy use to the year 2000: conservation and economics  

SciTech Connect

This report evaluates the energy and direct economic effects of implementing various residential energy conservation programs. These evaluations are conducted using a detailed engineering-economic model that simulates residential energy use on an annual basis for 1970 through 2000. These programs include several authorized by the 94th Congress and expanded upon by the present administration: appliance-efficiency standards, thermal standards for construction of new residences and weatherization of existing housing units. In addition to these Federal programs that are being (or will be) implemented in some form, we consider two additional measures to save energy: large fuel-price increases and elimination of all market imperfections associated with production and purchase of new equipment and homes. Altogether, nine different residential energy ''futures'' are considered. The highest projection, which assumes constant real fuel prices from 1976-2000, shows residential energy use growing from 16 QBtu in 1976 to 28 QBtu in 2000, with an average annual growth rate of 2.3 percent. The baseline, which assumes rising fuel prices, yields an energy use estimate of 24 QBtu in 2000. Implementing all the Federal programs listed above would cut energy use in 2000 by 11 percent, to 22 QBtu. Adopting these programs also reduces energy-related costs to households by $27 billion. Raising fuel prices by 50 percent after 1984 and eliminating all market imperfections yields essentially zero energy growth in the residential sector. However, the cost to households of higher fuel prices amounts to about $60 billion.

Hirst, E.; Carney, J.

1977-09-01T23:59:59.000Z

92

Residential Refrigerator Recycling Ninth Year Retention Study  

E-Print Network (OSTI)

requirements, such as space heating, space cooling, domestic hot water, etc. DER-CAM reports the optimal between 300-400 kW throughout the year. The hot water loads peak in winter around noon at about 32 kW. 3.S. It is itemized by natural gas engine (GE), gas turbine (GT), microturbine (MT), fuel cell (FC), and photovoltaics

93

Baseline data for the residential sector and development of a residential forecasting database  

SciTech Connect

This report describes the Lawrence Berkeley Laboratory (LBL) residential forecasting database. It provides a description of the methodology used to develop the database and describes the data used for heating and cooling end-uses as well as for typical household appliances. This report provides information on end-use unit energy consumption (UEC) values of appliances and equipment historical and current appliance and equipment market shares, appliance and equipment efficiency and sales trends, cost vs efficiency data for appliances and equipment, product lifetime estimates, thermal shell characteristics of buildings, heating and cooling loads, shell measure cost data for new and retrofit buildings, baseline housing stocks, forecasts of housing starts, and forecasts of energy prices and other economic drivers. Model inputs and outputs, as well as all other information in the database, are fully documented with the source and an explanation of how they were derived.

Hanford, J.W.; Koomey, J.G.; Stewart, L.E.; Lecar, M.E.; Brown, R.E.; Johnson, F.X.; Hwang, R.J.; Price, L.K.

1994-05-01T23:59:59.000Z

94

LBL-40297 UC-1600 ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR  

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

40297 40297 UC-1600 ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR Tom P. Wenzel, Jonathan G. Koomey, Gregory J. Rosenquist, Marla Sanchez, and James W. Hanford September 1997 Energy Analysis Program Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California Berkeley, CA 94720 http://enduse.lbl.gov/Projects/RED.html This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building Technology, State, and Community Programs of the U.S. Department of Energy under Contract No. DE-AC03- 76SF00098. i ABSTRACT Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous

95

Regional comparisons of on-site solar potential in the residential and industrial sectors  

SciTech Connect

Regional and sub-regional differences in the potential development of decentralized solar technologies are studied. Two sectors of the economy were selected for intensive analysis: the residential and industrial sectors. In both investigations, the sequence of analysis follows the same general steps: (1) selection of appropriate prototypes within each land-use sector disaggregated by census region; (2) characterization of the end-use energy demand of each prototype in order to match an appropriate decentralized solar technology to the energy demand; (3) assessment of the energy conservation potential within each prototype limited by land use patterns, technology efficiency, and variation in solar insolation; and (4) evaluation of the regional and sub-regional differences in the land use implications of decentralized energy supply technologies that result from the combination of energy demand, energy supply potential, and the subsequent addition of increasingly more restrictive policies to increase the percent contribution of on-site solar energy. Results are presented and discussed. It is concluded that determining regional variations in solar energy contribution for both the residential and industrial sectors appears to be more dependent upon a characterization of existing demand and conservation potential than regional variations in solar insolation. Local governmental decisions influencing developing land use patterns can significantly promote solar energy use and reduce reliance on non-renewable energy sources. These decisions include such measures as solar access protection through controls on vegetation and on building height and density in the residential sector, and district heating systems and industrial co-location in the manufacturing sector. (WHK)

Gatzke, A.E.; Skewes-Cox, A.O.

1980-10-01T23:59:59.000Z

96

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

7 7 Characteristics of a Typical Single-Family Home (1) Year Built | Building Equipment Fuel Age (5) Occupants 3 | Space Heating Natural Gas 12 Floorspace | Water Heating Natural Gas 8 Heated Floorspace (SF) 1,934 | Space Cooling 8 Cooled Floorspace (SF) 1,495 | Garage 2-Car | Stories 1 | Appliances Size Age (5) Foundation Concrete Slab | Refrigerator 19 Cubic Feet 8 Total Rooms (2) 6 | Clothes Dryer Bedrooms 3 | Clothes Washer Other Rooms 3 | Range/Oven Full Bathroom 2 | Microwave Oven Half Bathroom 0 | Dishwasher Windows | Color Televisions 3 Area (3) 222 | Ceiling Fans 3 Number (4) 15 | Computer 2 Type Double-Pane | Printer Insulation: Well or Adequate | Note(s): Source(s): 2-Door Top and Bottom Electric Top-Loading Electric 1) This is a weighted-average house that has combined characteristics of the Nation's stock homes. Although the population of homes with

97

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

9 9 Average Annual Energy Expenditures per Household, by Year ($2010) Year 1980 1,991 1981 1,981 1982 2,058 1983 2,082 1984 2,067 1985 2,012 1986 1,898 1987 1,846 1988 1,849 1989 1,848 1990 1,785 1991 1,784 1992 1,729 1993 1,797 1994 1,772 1995 1,727 1996 1,800 1997 1,761 1998 1,676 1999 1,659 2000 1,824 2001 1,900 2002 1,830 2003 1,978 2004 2,018 2005 2,175 2006 2,184 2007 2,230 2008 2,347 2009 2,173 2010 2,201 2011 2,185 2012 2,123 2013 2,056 2014 2,032 2015 2,030 2016 2,007 2017 1,992 2018 1,982 2019 1,973 2020 1,963 2021 1,961 2022 1,964 2023 1,962 2024 1,959 2025 1,957 2026 1,959 2027 1,960 2028 1,953 2029 1,938 2030 1,932 2031 1,937 2032 1,946 2033 1,956 2034 1,967 2035 1,978 Source(s): Average Expenditure EIA, State Energy Data 2009: Prices and Expenditures, Jun. 2011 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A2, p. 3-

98

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

1 1 Total Number of Households and Buildings, Floorspace, and Household Size, by Year 1980 80 N.A. 227 2.9 1981 83 N.A. 229 2.8 1982 84 N.A. 232 2.8 1983 85 N.A. 234 2.8 1984 86 N.A. 236 2.7 1985 88 N.A. 238 2.7 1986 89 N.A. 240 2.7 1987 91 N.A. 242 2.7 1988 92 N.A. 244 2.7 1989 93 N.A. 247 2.6 1990 94 N.A. 250 2.6 1991 95 N.A. 253 2.7 1992 96 N.A. 257 2.7 1993 98 N.A. 260 2.7 1994 99 N.A. 263 2.7 1995 100 N.A. 266 2.7 1996 101 N.A. 269 2.7 1997 102 N.A. 273 2.7 1998 104 N.A. 276 2.7 1999 105 N.A. 279 2.7 2000 106 N.A. 282 2.7 2001 107 2% 285 2.7 2002 105 3% 288 2.7 2003 106 5% 290 2.8 2004 107 7% 293 2.7 2005 109 9% 296 2.7 2006 110 11% 299 2.7 2007 110 12% 302 2.7 2008 111 13% 304 2.8 2009 111 13% 307 2.8 2010 114 14% 310 2.7 2011 115 14% 313 2.7 2012 116 15% 316 2.7 2013 117 16% 319 2.7 2014 118 17% 322 2.7 2015 119 18% 326 2.7 2016 120 19% 329 2.7 2017 122 21% 332 2.7 2018 123 22% 335 2.7 2019 125 23% 338 2.7 2020 126 25% 341 2.7 2021 127 26% 345

99

Residential Sector  

Gasoline and Diesel Fuel Update (EIA)

5.94 5.94 15.88 15.47 15.61 15.61 16.19 16.30 16.49 16.10 16.51 16.45 16.78 15.71 16.14 16.45 Middle Atlantic ............. 14.85 15.35 15.64 15.16 15.08 15.70 16.48 15.74 15.27 16.00 16.67 15.96 15.27 15.77 15.99 E. N. Central ................ 11.72 12.37 12.12 12.00 11.48 12.45 12.30 12.03 11.80 12.69 12.68 12.19 12.05 12.05 12.33 W. N. Central .............. 9.64 11.03 11.45 10.12 9.94 11.39 12.05 10.27 10.28 11.56 11.99 10.51 10.59 10.91 11.08 S. Atlantic .................... 11.07 11.48 11.65 11.22 10.89 11.48 11.77 11.31 10.99 11.64 11.85 11.42 11.38 11.38 11.49 E. S. Central ................ 10.05 10.44 10.38 10.41 10.04 10.69 10.65 10.45 10.35 10.96 11.01 10.73 10.32 10.45 10.76 W. S. Central ............... 10.14 10.30 10.35 10.37 10.23 10.94 10.91 10.73 10.59 10.97 11.07 10.80 10.30 10.73 10.88 Mountain .....................

100

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

Report. 2004. California Residential Appliance SaturationAdministration (EIA). 1996. Residential Energy ConsumptionEIA). 1999. “A Look at Residential Energy Consumption in

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

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


101

Building-Integrated Photovoltaics (BIPV) in the Residential Sector: An Analysis of Installed Rooftop System Prices  

DOE Green Energy (OSTI)

For more than 30 years, there have been strong efforts to accelerate the deployment of solar-electric systems by developing photovoltaic (PV) products that are fully integrated with building materials. This report examines the status of building-integrated PV (BIPV), with a focus on the cost drivers of residential rooftop systems, and explores key opportunities and challenges in the marketplace.

James, T.; Goodrich, A.; Woodhouse, M.; Margolis, R.; Ong, S.

2011-11-01T23:59:59.000Z

102

1996-2004 Trends in the Single-Family Housing Market: Spatial Analysis of the Residential Sector  

SciTech Connect

This report provides a detailed geographic analysis of two specific topics affecting the residential sector. First, we performed an analysis of new construction market trends using annual building permit data. We report summarized tables and national maps to help illustrate market conditions. Second, we performed a detailed geographic analysis of the housing finance market. We analyzed mortgage application data to provide citable statistics and detailed geographic summarization of the residential housing picture in the US for each year in the 1996-2004 period. The databases were linked to geographic information system tools to provide various map series detailing the results geographically. Looking at these results geographically may suggest potential new markets for TD programs addressing the residential sector that have not been considered previously. For example, we show which lenders affect which regions and which income or mortgage product classes. These results also highlight the issue of housing affordability. Energy efficiency R&D programs focused on developing new technology for the residential sector must be conscious of the costs of products resulting from research that will eventually impact the home owner or new home buyer. Results indicate that home values as a proportion of median family income in Building America communities are closely aligned with the national average of home value as a proportion of median income. Other key findings: • The share of home building and home buying activity continues to rise steadily in the Hot-Dry and Hot-Humid climate zones, while the Mixed-Humid and Cold climate zone shares continue to decline. Other zones remain relatively stable in terms of share of housing activity. • The proportion of home buyers having three times the median family income for their geography has been steadily increasing during the study period. • Growth in the Hispanic/Latino population and to a lesser degree in the Asian population has translated into proportional increases in share of home purchasing by both groups. White home buyers continue to decline as a proportion all home buyers. • Low interest rate climate resulted in lenders moving back to conventional financing, as opposed to government-backed financing, for cases that would be harder to financing in higher rate environments. Government loan products are one mechanism for affecting energy efficiency gains in the residential sector. • The rate environment and concurrent deregulation of the finance industry resulted unprecedented merger and acquisition activity among financial institutions during the study period. This study conducted a thorough accounting of this merger activity to inform the market share analysis provided. • The home finance industry quartiles feature 5 lenders making up the first quartile of home purchase loans, 18 lenders making up the second quartile, 111 lenders making up the third quartile, and the remaining nearly 8,000 lenders make up the fourth quartile.

Anderson, Dave M.; Elliott, Douglas B.

2006-09-05T23:59:59.000Z

103

Space-Heating energy used by households in the residential sector.  

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

Detailed Tables Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 The following 28 tables present detailed data describing the consumption of and expenditures for energy used by households in the residential sector. The data are presented at the national level, Census region and division levels, for climate zones and for the most populous States, as well as for other selected characteristics of households. This section provides assistance in reading the tables by explaining some of the headings for the categories of data. It also explains the use of the row and column factors to compute the relative standard error of the estimates given in the tables. Organization of the Tables The tables cover consumption and expenditures for six topical areas: Major Energy Source

104

Model documentation report: Residential sector demand module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

NONE

1995-03-01T23:59:59.000Z

105

Model documentation report: Residential sector demand module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document that provides a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

NONE

1997-01-01T23:59:59.000Z

106

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Year Built (1) Prior to 1950 74.5 114.9 46.8 24% 1950 to 1969 66.0 96.6 38.1 23% 1970 to 1979 59.4 83.4 33.5 15% 1980 to 1989 51.9 81.4 32.3 14% 1990 to 1999 48.2 94.4 33.7 16% 2000 to 2005 44.7 94.7 34.3 8% Average 58.7 95.0 40.0 Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Vintage Per Square Per Household Per Household

107

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

1 1 Residential Water Use by Source (Million Gallons per Day) Year 1980 3,400 1985 3,320 1990 3,390 1995 3,390 2000 (3) (3) 3,590 2005 3,830 Note(s): Source(s): 29,430 25,600 1) Public supply water use: water withdrawn by public and private water suppliers that furnish water to at least 25 people or have a minimum of 15 connections. 2) Self-supply water use: Water withdrawn from a groundwater or surface-water source by a user rather than being obtained from a public supply. 3) USGS did not provide estimates of residential use from public supplies in 2000. This value was estimated based on the residential portion of public supply in 1995 and applied to the total public supply water use in 2000. U.S. Geological Survey, Estimated Use of Water in the U.S. in 1985, U.S. Geological Survey Circular 1004, 1988; U.S. Geological Survey, Estimated Use of

108

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

109

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

only 27% of national energy consumption is consumed directlynational policies affecting the state. Nationwide, energy consumptionNational Association of Home Builders Personal Computer Portland Gas and Electric Residential Appliance Saturation Survey Residential Energy Consumption

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

110

Electricity Markets and Policy Group Energy Analysis Department Financing Non-Residential  

E-Print Network (OSTI)

Electricity Markets and Policy Group · Energy Analysis Department 1 Financing Non-Residential Introduction · Growth in the non-residential PV sector has outpaced that of the residential PV sector in recent years: by one estimate, US non-residential PV capacity has grown from less than half of aggregate annual

111

Assessment of IP Addressable Microprocessor-Based Adjustable Speed Drives for Small Motors in the Residential Sector Applications  

Science Conference Proceedings (OSTI)

This technical update explores use of microprocessor-based adjustable speed drives (ASDs) used in the residential sector for small motor applications. It provides a detailed summary of the key players in the industry who are involved with the motor control design. It also provides insights about advantages of going from traditional motor control to embedded microprocessor-based electric motor drive systems. Finally, this technical updates describes the possibility of connecting these devices to the Inter...

2008-12-16T23:59:59.000Z

112

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

of residential electricity consumption surpassed the rate ofresidential electricity consumption increased at a rate ofresidential electricity consumption grew 49%, a slightly lower growth rate

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

113

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Residential Building Component Loads as of 1998 (1) 1) "Load" represents the thermal energy lossesgains that when combined will be offset by a building's heatingcooling system...

114

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

SciTech Connect

The US Department of Energy (US DOE) has placed lighting and appliance standards at a very high priority of the U.S. energy policy. However, the maximum energy savings and CO2 emissions reduction achievable via minimum efficiency performance standards (MEPS) has not yet been fully characterized. The Bottom Up Energy Analysis System (BUENAS), first developed in 2007, is a global, generic, and modular tool designed to provide policy makers with estimates of potential impacts resulting from MEPS for a variety of products, at the international and/or regional level. Using the BUENAS framework, we estimated potential national energy savings and CO2 emissions mitigation in the US residential sector that would result from the most aggressive policy foreseeable: standards effective in 2014 set at the current maximum technology (Max Tech) available on the market. This represents the most likely characterization of what can be maximally achieved through MEPS in the US. The authors rely on the latest Technical Support Documents and Analytical Tools published by the U.S. Department of Energy as a source to determine appliance stock turnover and projected efficiency scenarios of what would occur in the absence of policy. In our analysis, national impacts are determined for the following end uses: lighting, television, refrigerator-freezers, central air conditioning, room air conditioning, residential furnaces, and water heating. The analyzed end uses cover approximately 65percent of site energy consumption in the residential sector (50percent of the electricity consumption and 80percent of the natural gas and LPG consumption). This paper uses this BUENAS methodology to calculate that energy savings from Max Tech for the U.S. residential sector products covered in this paper will reach an 18percent reduction in electricity demand compared to the base case and 11percent in Natural Gas and LPG consumption by 2030 The methodology results in reductions in CO2 emissions of a similar magnitude.

Letschert, Virginie; Desroches, Louis-Benoit; McNeil, Michael; Saheb, Yamina

2010-05-03T23:59:59.000Z

115

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

E-Print Network (OSTI)

appliance_standards/residential/heating_p roducts_fr_appliance_standards/residential/cac_heatp umps_new_buildings/appliance_standards/residential/fb_tsd_09 07.html

Letschert, Virginie

2010-01-01T23:59:59.000Z

116

Achieving real transparency : optimizing building energy ratings and disclosure in the U.S. residential sector  

E-Print Network (OSTI)

Residential energy efficiency in the U.S. has the potential to generate significant energy, carbon, and financial savings. Nonetheless, the market of home energy upgrades remains fragmented, and the number of homes being ...

Nadkarni, Nikhil S. (Nikhil Sunil)

2012-01-01T23:59:59.000Z

117

Application analysis of solar total energy systems to the residential sector. Volume II, energy requirements. Final report  

DOE Green Energy (OSTI)

This project analyzed the application of solar total energy systems to appropriate segments of the residential sector and determined their market penetration potential. This volume covers the work done on energy requirements definition and includes the following: (1) identification of the single-family and multi-family market segments; (2) regionalization of the United States; (3) electrical and thermal load requirements, including time-dependent profiles; (4) effect of conservation measures on energy requirements; and (5) verification of simulated load data with real data.

Not Available

1979-07-01T23:59:59.000Z

118

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 2005 Residential Delivered Energy Consumption Intensities, by Ownership of Unit Per Square Per Household Per Household Percent of Foot (thousand Btu) (million Btu) Members (million Btu) Total Consumption

119

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

STAT-ABS/Sa_home.htm. California Energy Circuit. August 13,to Surge in Inland Empire. ” California Energy Commission.2002. California Energy Consumption by Sector.

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

120

Renewable energy options in Saudi Arabia: the economic viability of solar photovoltaics within the residential sector  

Science Conference Proceedings (OSTI)

Renewable energy options, including solar power, are becoming progressively more viable and thus increasingly pose challenges to conventional sources of energy, such as oil, coal and natural gas. Solar Photovoltaic technology is one type of solar energy ... Keywords: Saudi Arabia, feasibility study, renewable energy, residential buildings, solar photovoltaics

Yasser Al-Saleh; Hanan Taleb

2009-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

State energy price projections for the residential sector, 1991--1992  

Science Conference Proceedings (OSTI)

The purpose of this report is to provide projections of State-level residential prices for 1991 and 1992 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1990 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations. (VC)

Not Available

1991-11-08T23:59:59.000Z

122

Comparative Attitudes Toward Utility Type Services: Tracking Perceptions in the Residential Sector  

Science Conference Proceedings (OSTI)

This report is the first in a series of three EPRIsolutions research reports tracking customer perceptions toward five utility providers (electric, natural gas, cable TV, long distance telephone and local telephone), and comparing the performance trends ratings among these different utility companies over time. This particular market assessment focuses on the attitudes of the Residential segment. The next two reports will assess customer attitudes for the large business and mass market segments. The Unde...

2000-10-31T23:59:59.000Z

123

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

1 1 Type (1) Single-Family: 55.4 106.6 39.4 80.5% Detached 55.0 108.4 39.8 73.9% Attached 60.5 89.3 36.1 6.6% Multi-Family: 78.3 64.1 29.7 14.9% 2 to 4 units 94.3 85.0 35.2 6.3% 5 or more units 69.8 54.4 26.7 8.6% Mobile Homes 74.6 70.4 28.5 4.6% All Housing Types 58.7 95.0 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Housing Type

124

Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector  

E-Print Network (OSTI)

buildings/appliance_standards/residential/cac_heatp umps_buildings/appliance_standards/residential/fb_tsd_09 07.htmlof Energy Efficiency Standards and Labeling Programs, LBNL

Letschert, Virginie

2010-01-01T23:59:59.000Z

125

State energy price projections for the residential sector, 1990--1991  

Science Conference Proceedings (OSTI)

This report was prepared by the Energy Information Administration, Office of Energy Markets and End Use. This service report was developed in response to a request from the Family Support Administration of the US Department of Health and Human Services. Forecasts of State-level residential energy prices for 1990 and 1991 were required as input for the Low-Income Home Energy Assistance Program. This program allocates funds to the States to provide assistance to low-income households in meeting energy cost. (VC)

Not Available

1991-01-18T23:59:59.000Z

126

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Building Type Pre-1995 1995-2005 Pre-1995 1995-2005 Pre-1995 1995-2005 Single-Family 38.4 44.9 102.7 106.2 38.5 35.5 Detached 37.9 44.7 104.5 107.8 38.8 35.4 Attached 43.8 55.5 86.9 85.1 34.2 37.6 Multi-Family 63.8 58.7 58.3 49.2 27.2 24.3 2 to 4 units 69.0 55.1 70.7 59.4 29.5 25.0 5 or more units 61.5 59.6 53.6 47.2 26.3 24.2 Mobile Homes 82.4 57.1 69.6 74.5 29.7 25.2 Note(s): Source(s): 2005 Residential Delivered Energy Consumption Intensities, by Principal Building Type and Vintage Per Square Foot (thousand Btu) (1) Per Household (million Btu) Per Household Member (million Btu) 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average

127

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

SciTech Connect

With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

128

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

SciTech Connect

With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

129

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

6 6 Residential Water Billing Rate Structures for Community Water Systems Rate Structure Uniform Rates Declining Block Rate Increasing Block Rate Peak Period or Seasonal Rate Separate Flat Fee Annual Connection Fee Combined Flat Fee Other Rate Structures Note(s): Source(s): 3.0% 9.0% 1) Systems serving more than 10,000 users provide service to 82% of the population served by community water systems. Columns do not sum to 100% because some systems use more than one rate structure. 2) Uniform rates charge a set price for each unit of water. Block rates charge a different price for each additional increment of usage. The prices for each increment is higher for increasing block rates and lower for decreasing block rates. Peak rates and seasonal rates charge higher prices when demand is highest. Flat fees charge a set price for

130

Behaviour Oriented Optimisation Strategies for Energy Efficiency in the Residential Sector  

E-Print Network (OSTI)

The aim of this paper is to combine the approaches of engineering and sociology in the assessment of behavioural influences on the energy demand of residential buildings and to define a common language and strategy for their description. For this purpose the calculation methods of the German Energy Conservation Regulations (EnEV 2007) further defined in the DIN 4108-6: 2003-06 will be evaluated to illustrate the relevant linkages to behavioural approaches. So far, there are few attempts to differentiate the large influence of individual behaviour (see Richter 2003, Loga 2003). The assessment of these values and their behavioural implications require a sociological approach towards energy relevant practices. Based on the calculation of the building’s energy balance an analytical framework will be suggested to link the heat demand with the lifestyles of consumers.

Koch, A.; Huber, A.; Avci, N.

2008-10-01T23:59:59.000Z

131

A Statistical Model to Assess Indirect CO2 Emissions of the UAE Residential Sector  

E-Print Network (OSTI)

This study presents a regional bottom-up model for assessing space cooling energy and related greenhouse gas emissions. The model was developed with the aim of improving the quality and quantity of cooling energy and emission data, especially for the benefit of local decision making. Based on a benchmarking study, a representative archetype was developed, simulation software used and linear statistical model constructed. This model explores the way in which CO2 emission levels are affected by different energy efficiency measures to reduce cooling energy consumption in buildings. The analysis showed that improving building energy efficiency could generate considerable carbon emissions reduction credits with competitive benefit. The developed model was found to be capable in selecting cost-effective, environmentally-preferred building efficiency measures and evaluating the future trend of CO2 emissions in the residential building of Al-Ain city.

Radhi, H.; Fikry, F.

2010-01-01T23:59:59.000Z

132

Is Efficiency Enough? Towards a New Framework for Carbon Savingsin the California Residential Sector  

SciTech Connect

The overall implementation of energy efficiency in the United States is not adequately aligned with the environmental benefits claimed for efficiency, because it does not consider absolute levels of energy use, pollutant emissions, or consumption. In some ways, promoting energy efficiency may even encourage consumption. A more effective basis for environmental policy could be achieved by recognizing the degree and nature of the synchronization between environmental objectives and efficiency. This research seeks to motivate and initiate exploration of alternative ways of defining efficiency or otherwise moderating energy use toward reaching environmental objectives, as applicable to residential electricity use in California. The report offers three main recommendations: (1) produce definitions of efficiency that better integrate absolute consumption, (2) attend to the deeper social messages of energy efficiency communications, and (3) develop a more critical perspective on benefits and limitations of energy efficiency for delivering environmental benefits. In keeping with the exploratory nature of this project, the report also identifies ten questions for further investigation.

Moezzi, Mithra; Diamond, Rick

2005-10-01T23:59:59.000Z

133

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

20 20 Site Consumption Primary Consumption Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 5% 28% 8% 56% | 8% 31% 56% 34.2 1981 5% 26% 7% 59% | 7% 29% 59% 31.9 1982 5% 26% 5% 61% | 6% 28% 61% 30.2 1983 4% 25% 5% 62% | 6% 27% 62% 30.1 1984 5% 26% 4% 61% | 6% 27% 61% 31.1 1985 5% 25% 4% 63% | 6% 26% 63% 30.9 1986 5% 24% 5% 63% | 6% 26% 63% 32.2 1987 5% 25% 4% 63% | 6% 26% 63% 32.9 1988 5% 24% 5% 63% | 6% 26% 63% 34.2 1989 5% 24% 5% 63% | 7% 25% 63% 34.2 1990 4% 25% 4% 64% | 5% 26% 64% 33.6 1991 4% 24% 4% 65% | 5% 26% 65% 32.8 1992 4% 26% 3% 65% | 5% 27% 65% 33.5 1993 4% 25% 3% 65% | 5% 26% 65% 33.8 1994 4% 25% 3% 65% | 5% 26% 65% 34.7 1995 4% 25% 2% 67% | 5% 26% 67% 34.6 1996 4% 25% 2% 66% | 5% 26% 66% 35.8 1997 4% 26% 3% 66% | 5% 26% 66% 36.3 1998 3% 25% 4% 66% | 5% 26% 66% 36.9 1999 4% 25% 3% 66% | 5% 26% 66% 38.0 2000 4% 24% 3% 67% | 5% 25% 67% 38.4 2001 4% 24% 3% 67% | 5% 25% 67% 38.3 2002 4% 24% 3% 68% | 5% 25% 68% 38.4 2003

134

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

9 9 Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 24% 41% 19% 3% | 30% 49% 3% 20.22 1981 23% 42% 19% 3% | 30% 49% 3% 19.74 1982 26% 39% 18% 3% | 32% 45% 3% 18.36 1983 26% 39% 17% 3% | 32% 46% 3% 17.20 1984 25% 40% 17% 3% | 31% 47% 3% 18.38 1985 25% 40% 18% 3% | 32% 46% 3% 17.70 1986 26% 40% 16% 3% | 32% 46% 3% 16.59 1987 25% 41% 17% 3% | 31% 47% 3% 17.63 1988 26% 42% 15% 3% | 31% 47% 3% 18.44 1989 25% 41% 16% 3% | 30% 47% 3% 19.56 1990 23% 43% 17% 3% | 29% 49% 4% 19.57 1991 23% 43% 17% 3% | 29% 49% 3% 20.03 1992 23% 43% 17% 3% | 29% 49% 3% 20.71 1993 24% 43% 17% 3% | 30% 48% 3% 21.24 1994 23% 42% 18% 3% | 29% 48% 3% 21.75 1995 22% 42% 19% 3% | 28% 49% 3% 22.71 1996 23% 43% 17% 3% | 29% 49% 3% 23.14 1997 22% 43% 18% 3% | 28% 49% 3% 23.34 1998 20% 43% 20% 3% | 27% 50% 3% 22.86 1999 21% 41% 21% 3% | 28% 48% 3% 22.88 2000 21% 40% 22% 3% | 29% 47% 3% 23.66 2001 21% 38% 24% 3% | 30% 45% 3% 22.69 2002 21% 38% 24% 3% | 30% 45%

135

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

136

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

0 0 Region (1) Northeast 73.5 122.2 47.7 24% New England 77.0 129.4 55.3 7% Middle Atlantic 72.2 119.7 45.3 17% Midwest 58.9 113.5 46.0 28% East North Central 61.1 117.7 47.3 20% West North Central 54.0 104.1 42.9 8% South 51.5 79.8 31.6 31% South Atlantic 47.4 76.1 30.4 16% East South Central 56.6 87.3 36.1 6% West South Central 56.6 82.4 31.4 9% West 56.6 77.4 28.1 18% Mountain 54.4 89.8 33.7 6% Pacific 58.0 71.8 25.7 11% U.S. Average 58.7 94.9 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet.

137

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book (EERE)

2 2 1999 Single-Family Home Daily Water Consumption by End Use (Gallons per Capita) (1) Fixture/End Use Toilet 18.5 18.3% Clothes Washer 15 14.9% Shower 11.6 11.5% Faucet 10.9 10.8% Other Domestic 1.6 1.6% Bath 1.2 1.2% Dishwasher 1 1.0% Leaks 9.5 9.4% Outdoor Use (2) 31.7 31.4% Total (2) 101 100% Note(s): Source(s): Average gallons Total Use per capita per day Percent 1) Based analysis of 1,188 single-family homes at 12 study locations. 2) Total Water use derived from USGS. Outdoor use is the difference between total and indoor uses. American Water Works Association Research Foundation, Residential End Uses of Water, 1999; U.S. Geological Survey, Estimated Use of Water in the U.S. in 2000, U.S. Geological Survey Circular 1268, 2004, Table 6, p. 17; and Vickers, Amy, Handbook of Water Use and Conservation, June 2002, p. 15.

138

Table 2.1a Energy Consumption Estimates by Sector, Selected Years ...  

U.S. Energy Information Administration (EIA)

40 U.S. Energy Information Administration / Annual Energy Review 2011 Table 2.1a Energy Consumption Estimates by Sector, Selected Years, 1949-2011

139

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network (OSTI)

for natural gas and oil, source energy for electricity issource) Gas Coal, oil, wood year Source: EIA 2004a Figure 5.

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

140

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

5 5 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.50 0.53 0.30 0.04 0.43 0.44 5.23 44.7% | 1.35 6.15 27.8% Water Heating 1.29 0.10 0.07 0.01 0.45 1.92 16.4% | 1.38 2.86 12.9% Space Cooling 0.00 1.08 1.08 9.2% | 3.34 3.34 15.1% Lighting 0.69 0.69 5.9% | 2.13 2.13 9.7% Refrigeration (6) 0.45 0.45 3.9% | 1.41 1.41 6.4% Electronics (5) 0.54 0.54 4.7% | 1.68 1.68 7.6% Wet Cleaning (7) 0.06 0.33 0.38 3.3% | 1.01 1.06 4.8% Cooking 0.22 0.03 0.18 0.43 3.7% | 0.57 0.81 3.7% Computers 0.17 0.17 1.5% | 0.53 0.53 2.4% Other (8) 0.00 0.16 0.01 0.20 0.37 3.2% | 0.63 0.80 3.6% Adjust to SEDS (9) 0.42 0.42 3.6% | 1.29 1.29 5.8% Total 5.06 0.63 0.56 0.04 0.45 4.95 11.69 100% | 15.34 22.07 100% Note(s): Source(s): 2010 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.42 quad), solar water heating (0.01

Note: This page contains sample records for the topic "year residential sector" 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

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

8 8 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.20 0.31 0.22 0.03 0.46 0.49 4.72 38.9% | 1.45 5.67 23.9% Water Heating 1.27 0.04 0.03 0.02 0.54 1.90 15.6% | 1.60 2.96 12.5% Space Cooling 0.00 1.25 1.25 10.3% | 3.68 3.68 15.5% Lighting 0.48 0.48 3.9% | 1.41 1.41 5.9% Refrigeration (5) 0.52 0.52 4.3% | 1.54 1.54 6.5% Electronics (6) 0.44 0.44 3.6% | 1.29 1.29 5.4% Wet Cleaning (7) 0.07 0.32 0.39 3.2% | 0.95 1.01 4.3% Cooking 0.23 0.02 0.15 0.40 3.3% | 0.44 0.69 2.9% Computers 0.27 0.27 2.2% | 0.79 0.79 3.3% Other (8) 0.00 0.22 0.07 1.48 1.77 14.6% | 4.35 4.64 19.6% Total 4.76 0.35 0.51 0.03 0.55 5.94 12.14 100% | 17.50 23.69 100% Note(s): Source(s): 2035 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.44 quad), solar water heating (0.02

142

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.28 0.38 0.24 0.03 0.46 0.46 4.85 41.5% | 1.40 5.78 25.8% Water Heating 1.32 0.05 0.04 0.02 0.53 1.96 16.8% | 1.60 3.03 13.5% Space Cooling 0.00 1.12 1.12 9.6% | 3.38 3.38 15.1% Lighting 0.47 0.47 4.0% | 1.42 1.42 6.3% Refrigeration (5) 0.48 0.48 4.1% | 1.45 1.45 6.5% Electronics (6) 0.37 0.37 3.2% | 1.12 1.12 5.0% Wet Cleaning (7) 0.06 0.30 0.37 3.1% | 0.91 0.98 4.4% Cooking 0.22 0.03 0.13 0.38 3.2% | 0.40 0.64 2.9% Computers 0.24 0.24 2.0% | 0.72 0.72 3.2% Other (8) 0.00 0.20 0.07 1.20 1.46 12.5% | 3.61 3.87 17.3% Total 4.88 0.43 0.50 0.03 1.00 5.30 11.69 100% | 16.00 22.39 100% Note(s): Source(s): 2025 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

143

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

6 6 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.40 0.48 0.26 0.03 0.44 0.42 5.03 44.2% | 1.27 5.88 27.9% Water Heating 1.31 0.07 0.05 0.02 0.48 1.92 16.9% | 1.44 2.88 13.7% Space Cooling 0.00 1.02 1.02 8.9% | 3.07 3.07 14.6% Lighting 0.53 0.53 4.6% | 1.60 1.60 7.6% Refrigeration (5) 0.45 0.45 4.0% | 1.37 1.37 6.5% Electronics (6) 0.33 0.33 2.9% | 0.99 0.99 4.7% Wet Cleaning (7) 0.06 0.33 0.39 3.4% | 0.98 1.04 5.0% Cooking 0.22 0.03 0.11 0.36 3.1% | 0.34 0.59 2.8% Computers 0.19 0.19 1.7% | 0.57 0.57 2.7% Other (8) 0.00 0.17 0.05 0.94 1.17 10.2% | 2.85 3.07 14.6% Total 4.99 0.55 0.51 0.03 0.51 4.79 11.38 100% | 14.47 21.06 100% Note(s): Source(s): 2015 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

144

Electricity Use in the Pacific Northwest: Utility Historical Sales by Sector, 1990 and Preceding Years.  

SciTech Connect

This report officially releases the compilation of regional 1990 retail customer sector sales data by the Bonneville Power Administration. The report is intended to enable detailed examination of annual regional electricity consumption. It also provides observations based on statistics covering the 1983--1990 time period, and gives statistics covering the time period 1970--1990. The electricity use report is the only information source that provides data obtained from each utility in the region based on the amount of electricity they sell annually to four sectors. Data is provided on each retail customer sector and also on the customers Bonneville serves directly: residential, commercial, industrial, direct-service industrial, and irrigation. 21 figs., 40 tabs.

United States. Bonneville Power Administration.

1991-06-01T23:59:59.000Z

145

The Path to Low Energy Residential Design  

Science Conference Proceedings (OSTI)

The Department of EnergyBuilding Technologies Program is divided between the commercial and residential sectors. Under the residential sector, two main areas exist - Home Performance with Energy Star, and the Building America program. The Building America program focuses on improving the efficiency of the approximately 1.5 million new homes built each year. These improvements are accomplished through research, development, demonstrations, and technology transfer of system-based strategies. These efforts...

2009-12-16T23:59:59.000Z

146

Burlington Electric Department - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Clothes Washers, Lighting, Water Heaters, LED Lighting, Tankless Water Heaters Active Incentive Yes Implementing Sector Utility...

147

South Alabama Electric Cooperative - Residential Energy Efficiency...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, Doors, Heat pumps, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

148

A Water Conservation Scenario for the Residential and Industrial Sectors in California: Potential Saveings of Water and Related Energy  

E-Print Network (OSTI)

A WATER CONSERVATION SCENARIO FOR THE RESIDENTIAL ANDWater 'consumption, water conservation. City of Sacramento.Daniel Stockton. Water conservation. Contra Costa County

Benenson, P.

2010-01-01T23:59:59.000Z

149

Electricity Use in the Pacific Northwest: Utility Historical Sales by Sector, 1989 and Preceding Years.  

SciTech Connect

This report officially releases the compilation of regional 1989 retail customer sector sales data by the Bonneville Power Administration. This report is intended to enable detailed examination of annual regional electricity consumption. It gives statistics covering the time period 1970--1989, and also provides observations based on statistics covering the 1983--1989 time period. The electricity use report is the only information source that provides data obtained from each utility in the region based on the amount of electricity they sell to consumers annually. Data is provided on each retail customer sector: residential, commercial, industrial, direct-service industrial, and irrigation. The data specifically supports forecasting activities, rate development, conservation and market assessments, and conservation and market program development and delivery. All of these activities require a detailed look at electricity use. 25 figs., 34 tabs.

United States. Bonneville Power Administration.

1990-06-01T23:59:59.000Z

150

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total TOTAL (2) 2010-Year 1980 4.79 30% 1.72 11% 0.03 0% 0.85 5% 2.45 5.89 8.33 53% 15.72 100% - 1981 4.57 30% 1.52 10% 0.03 0% 0.87 6% 2.46 5.77 8.24 54% 15.23 100% - 1982 4.68 30% 1.42 9% 0.03 0% 0.97 6% 2.49 5.89 8.38 54% 15.48 100% - 1983 4.45 29% 1.33 9% 0.03 0% 0.97 6% 2.56 6.03 8.59 56% 15.38 100% - 1984 4.64 29% 1.51 10% 0.04 0% 0.98 6% 2.66 6.07 8.73 55% 15.90 100% - 1985 4.51 28% 1.55 10% 0.04 0% 1.01 6% 2.71 6.21 8.92 56% 16.02 100% - 1986 4.38 28% 1.52 10% 0.04 0% 0.92 6% 2.79 6.27 9.07 57% 15.94 100% - 1987 4.40 27% 1.60 10% 0.04 0% 0.85 5% 2.90 6.42 9.32 58% 16.21 100% - 1988 4.72 28% 1.66 10% 0.04 0% 0.91 5% 3.05 6.75 9.79 57% 17.12 100% - 1989 4.88 28% 1.64 9% 0.03 0% 0.97 5% 3.09 7.13 10.22 58% 17.76 100% - 1990 4.47 26% 1.37 8% 0.03 0% 0.64 4% 3.15 7.24 10.39 61% 16.91 100% - 1991 4.64 27% 1.36 8% 0.03 0% 0.67 4% 3.26 7.42 10.68 61% 17.37 100%

151

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Growth Rate Wood Solar Thermal Solar PV GSHP Total 2010-Year 1980 0.846 0.000 N.A. 0.000 0.846 - 1981 0.873 0.000 N.A. 0.000 0.873 - 1982 0.971 0.000 N.A. 0.000 0.971 - 1983 0.970 0.000 N.A. 0.000 0.970 - 1984 0.980 0.000 N.A. 0.000 0.980 - 1985 1.010 0.000 N.A. 0.000 1.010 - 1986 0.920 0.000 N.A. 0.000 0.920 - 1987 0.853 0.000 N.A. 0.000 0.853 - 1988 0.910 0.000 N.A. 0.000 0.910 - 1989 0.920 0.052 N.A. 0.005 0.977 - 1990 0.582 0.056 N.A. 0.006 0.643 - 1991 0.610 0.057 N.A. 0.006 0.673 - 1992 0.640 0.059 N.A. 0.006 0.706 - 1993 0.548 0.061 N.A. 0.007 0.616 - 1994 0.520 0.063 N.A. 0.006 0.589 - 1995 0.520 0.064 N.A. 0.007 0.591 - 1996 0.540 0.065 N.A. 0.007 0.612 - 1997 0.428 0.064 N.A. 0.007 0.499 - 1998 0.380 0.064 N.A. 0.008 0.452 - 1999 0.400 0.063 N.A. 0.009 0.471 - 2000 0.430 0.060 N.A. 0.009 0.499 - 2001 0.374 0.059 N.A. 0.009 0.442 - 2002 0.380 0.057 N.A. 0.010 0.448 - 2003 0.400 0.057 N.A. 0.013 0.470 -

152

Toward a National Plan for the Accelerated Commercialization of Solar Energy: residential/commercial buildings market sector workbook  

Science Conference Proceedings (OSTI)

This workbook contains preliminary data and assumptions used during the preparation of inputs to a National Plan for the Accelerated Commercialization of Solar Energy (NPAC). The workbook indicates the market potential, competitive position, market penetration, and technological characteristics of solar technologies for this market sector over the next twenty years. The workbook also presents projections of the mix of solar technologies by US Census Regions. In some cases, data have been aggregated to the national level. Emphasis of the workbook is on a mid-price fuel scenario, Option II, that meets about a 20% solar goal by the year 2000. The energy demand for the mid-price scenario is projected at 115 quads in the year 2000. The workbook, prepared in April 1979, represents government policies and programs anticipated at that time.

Taul, Jr., J. W.; de Jong, D. L.

1980-01-01T23:59:59.000Z

153

Energy efficiency standards for residential and commercial equipment: Additional opportunities  

E-Print Network (OSTI)

Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors. ”Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors. ”Savings in the Residential and Commercial Sectors with High Efficiency Electric Motors. ”

Rosenquist, Greg; McNeil, Michael; Iyer, Maithili; Meyers, Steve; McMahon, Jim

2004-01-01T23:59:59.000Z

154

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

155

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

E-Print Network (OSTI)

Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.and Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

156

Detroit Public Lighting Department - Residential Energy Wise...  

Open Energy Info (EERE)

Multi-Family Residential, Residential Eligible Technologies Ceiling Fan, Lighting, LED Lighting Active Incentive Yes Implementing Sector Utility Energy Category Energy...

157

Application analysis of solar total energy systems to the residential sector. Volume IV, market penetration. Final report  

DOE Green Energy (OSTI)

This volume first describes the residential consumption of energy in each of the 11 STES regions by fuel type and end-use category. The current and projected costs and availability of fossil fuels and electricity for the STES regions are reported. Projections are made concerning residential building construction and the potential market for residential STES. The effects of STES ownership options, institutional constraints, and possible government actions on market penetration potential were considered. Capital costs for two types of STES were determined, those based on organic Rankine cycle (ORC) heat engines and those based on flat plate, water-cooled photovoltaic arrays. Both types of systems utilized parabolic trough collectors. The capital cost differential between conventional and STE systems was calculated on an incremental cost per dwelling unit for comparison with projected fuel savings in the market penetration analysis. The market penetration analysis was planned in two phases, a preliminary analysis of each of the geographical regions for each of the STE systems considered; and a final, more precise analysis of those regions and systems showing promise of significant market penetration. However, the preliminary analysis revealed no geographical regions in which any of the STES considered promised to be competitive with conventional energy systems using utility services at the prices projected for future energy supplies in the residential market. Because no promising situations were found, the analysis was directed toward an examination of the parameters involved in an effort to identify those factors which make a residential STES less attractive than similar systems in the commercial and industrial areas. Results are reported. (WHK)

Not Available

1979-07-01T23:59:59.000Z

158

Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 1: Part 1, Electricity supply sector; Part 2, Residential and commercial buildings sector; Part 3, Industrial sector  

Science Conference Proceedings (OSTI)

DOE encourages you to report your achievements in reducing greenhouse gas emissions and sequestering carbon under this program. Global climate change is increasingly being recognized as a threat that individuals and organizations can take action against. If you are among those taking action, reporting your projects may lead to recognition for you, motivation for others, and synergistic learning for the global community. This report discusses the reporting process for the voluntary detailed guidance in the sectoral supporting documents for electricity supply, residential and commercial buildings, industry, transportation, forestry, and agriculture. You may have reportable projects in several sectors; you may report them separately or capture and report the total effects on an entity-wide report.

Not Available

1994-10-01T23:59:59.000Z

159

Geothermal Energy Market Study on the Atlantic Coastal Plain. Geothermal Energy Market penetration: development of a model for the residential sector  

SciTech Connect

A model has been developed that examines the feasibility of using geothermal technology in heating residential structures. Specific account is taken of the small contribution of new housing to the total stock in any given year and of the durability of houses and their furnaces. Both aspects constrain the penetration of geothermal energy into the residential market. After a discussion of other market penetration paradigms, a simple model of market penetration is developed that is based on the premise that homeowners will not abandon an existing furnace until its economic life is over. Next, behavioral parameters are discussed and the model is extended from 20 to 40 years. Finally, methods are discussed for collecting the needed data to determine market penetration, and ideas are proposed of ways to induce homeowners to give up economically viable furnaces to allow the firm providing the energy to reduce costs.

Goodman, A.C.

1979-09-01T23:59:59.000Z

160

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

E-Print Network (OSTI)

year consumption estimates. DISCUSSION The Importance of Miscellaneous ElectricityConsumption of New Equipment Index kWh/Year MMBtu/Year MMBtu/Year ElectricityConsumption of Equipment in Existing Homes Index kWh/Year MMBtu/Year MMBtu/Year Electricity

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

North Arkansas Electric Cooperative, Inc - Residential Energy...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Doors, DuctAir sealing, Heat pumps, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

162

Clark Public Utilities - Residential Weatherization Loan Program...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

163

Name Address Place Zip Sector Product Stock Symbol Year founded Number  

Open Energy Info (EERE)

Address Place Zip Sector Product Stock Symbol Year founded Number Address Place Zip Sector Product Stock Symbol Year founded Number of employees Number of employees Telephone number Website Coordinates Region ABS Alaskan Inc Van Horn Rd Fairbanks Alaska Gateway Solar Wind energy Marine and Hydrokinetic Solar PV Solar thermal Wind Hydro Small scale wind turbine up to kW and solar systems distributor http www absak com United States AER NY Kinetics LLC PO Box Entrance Avenue Ogdensburg Marine and Hydrokinetic United States AW Energy Lars Sonckin kaari Espoo FI Marine and Hydrokinetic http www aw energy com Finland AWS Ocean Energy formerly Oceanergia Redshank House Alness Point Business Park Alness Ross shire IV17 UP Marine and Hydrokinetic http www awsocean com United Kingdom Able Technologies Audubon Road Englewood Marine and Hydrokinetic http

164

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

165

Energy management in residential and small commercial buildings. Annual report, fiscal year 1976  

DOE Green Energy (OSTI)

The goal of the present program is to develop the technical basis for efficient energy use in space heating of residential and small commercial buildings. Efficiency measurements performed on conventional residential oil-fired hot water heating equipment, including both steady state and cyclic (part load) efficiency determinations are described. A list of preliminary recommendations for retrofit actions to improve efficiency is provided. A summary of work carried out in the areas of thermal storage media, fenestration, and building thermal dynamics is also presented.

Batey, J.; Gazerro, V.; Salzano, F.J.; Berlad, A.L.

1976-07-01T23:59:59.000Z

166

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network (OSTI)

16 Figure 10. Residential Primary Energy Use in 2000 and3. Fuel Consumption in the Residential Sector in 2005 in10 Table 6. Residential Activity

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

167

Miscellaneous Electricity Services in the Buildings Sector (released in AEO2007)  

Reports and Publications (EIA)

Residential and commercial electricity consumption for miscellaneous services has grown significantly in recent years and currently accounts for more electricity use than any single major end-use service in either sector (including space heating, space cooling, water heating, and lighting). In the residential sector, a proliferation of consumer electronics and information technology equipment has driven much of the growth. In the commercial sector, telecommunications and network equipment and new advances in medical imaging have contributed to recent growth in miscellaneous electricity use

Information Center

2007-03-11T23:59:59.000Z

168

sector | OpenEI  

Open Energy Info (EERE)

sector sector Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 5, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption sector South Atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - South Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

169

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

DOE Green Energy (OSTI)

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

Not Available

1979-07-01T23:59:59.000Z

170

Black Hills Power - Residential Customer Rebate Program (South...  

Open Energy Info (EERE)

Program Applicable Sector Multi-Family Residential, Residential Eligible Technologies Energy Mgmt. SystemsBuilding Controls, Heat pumps, Water Heaters, Geothermal Heat Pumps,...

171

Black Hills Power - Residential Customer Rebate Program (Wyoming...  

Open Energy Info (EERE)

Program Applicable Sector Multi-Family Residential, Residential Eligible Technologies Energy Mgmt. SystemsBuilding Controls, Heat pumps, Water Heaters, Geothermal Heat Pumps,...

172

Energy and economic benefits of residential energy conservation RD and D. [Projections to year 2000  

SciTech Connect

The ORNL residential energy model is used to evaluate the energy and direct economic effects of offering new technologies for providing residential services (e.g., space heating, water heating). These new technologies are assumed to be introduced as a consequence of government and private research, development and demonstration (RD and D) programs. The energy savings due to the new technologies considered here increase from 0.1 QBtu in 1980 to 0.9 QBtu in 1990 and 1.9 QBtu in 2000. Present and projected RD and D programs sponsored by the Department of Energy (DOE) are expected to account for one-third of the cumulative energy saving of 20 QBtu. Because these new systems are more energy-efficient than the conventional systems they replace, household fuel bills are reduced by $20 billion between 1977 and 2000. On the other hand, the higher initial cost of these advanced systems increases consumer costs on new equipment and structures by almost $3 billion. Thus, the net economic benefit to the nation's households is almost $18 billion. The DOE programs account for about 40% of this dollar saving.

Hirst, E.

1978-02-01T23:59:59.000Z

173

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

174

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

175

U.S. Propane Demand Sectors (1996)  

U.S. Energy Information Administration (EIA)

The residential and commercial sector and the chemical sector are the largest end users of propane in the U.S., accounting for 34% and 41% ...

176

About Residential | Department of Energy  

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

Residential Buildings » About Residential Residential Buildings » About Residential About Residential The Building Technologies Office (BTO) collaborates with home builders, energy professionals, state and local governments, utilities, product manufacturers, educators, and researchers to improve the energy efficiency of both new and existing homes. Residential Sector Activities Include: Demonstrating to builders and remodelers how to build and renovate for high performance through best practice guides and case studies and continuing to developing innovative whole-house energy efficiency solutions through Building America research projects. We also provide guidelines and tools for researchers conducting building related research projects. Promoting a trusted, whole-house process for upgrading existing homes with

177

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles â€ș ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

178

Residential and Commercial Buildings Sector  

U.S. Energy Information Administration (EIA)

Also assume that the fan, both before and after project implementa-tion, was rated at 3 thousand cubic feet per minute (MCFM). The estimation was completed as follows:

179

Residential Energy Efficiency Workshop - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Notes on the Energy Information Administration's summary session on Residential Sector Energy-Efficiency Workshop on February 13, 1996

180

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

Note: This page contains sample records for the topic "year residential sector" 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

Strategies for Low Carbon Growth In India: Industry and Non Residential  

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

Strategies for Low Carbon Growth In India: Industry and Non Residential Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors Title Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-4557E Year of Publication 2011 Authors Sathaye, Jayant A., Stephane Rue de la du Can, Maithili Iyer, Michael A. McNeil, Klaas Jan Kramer, Joyashree Roy, Moumita Roy, and Shreya Roy Chowdhury Date Published 5/2011 Publisher LBNL Keywords Buildings Energy Efficiency, CO2 Accounting Methodology, CO2 mitigation, Demand Side Management, energy efficiency, greenhouse gas (ghg), india, industrial energy efficiency, industrial sector, Low Carbon Growth, Low Growth, Non Residential Abstract This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analyses supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

182

Electricity savings among participants three years after weatherization in Bonneville's 1986 residential weatherization program  

SciTech Connect

To ensure proper assessment of its weatherization activities, the Bonneville Power Administration (Bonneville) has examined several cohorts of participants in various phases of its Long-Term Residential Weatherization Program (Long-Term RWP). Beginning in 1980, energy savings one, two, and three years after program participation have been evaluated. This study, which continues the series of Bonneville's ongoing evaluation of weatherization activities, examines electricity savings three years after weatherization in the 1986 Long-Term RWP. Electricity bills were weather-adjusted using the Princeton Scorekeeping Method (PRISM). Normalized Annual Consumption (NAC) was calculated for each participant and control household for which data were available. Gross energy savings were calculated by subtracting a household's NAC for each postretrofit year (1986--87, 1986--88, and 1988--89) from its preretrofit NAC (1985--86). Household level data were aggregated and examined at the utility level allowing the calculation of average net savings, which is the difference between gross savings by nonparticipants and participants. Utility-level data were then weighted, based on the extent of each utility's participation in the Long-Term RWP in 1986, to allow the identification of overall program savings. 29 refs., 5 figs., 14 tabs.

White, D.L.; Brown, M.A.

1990-09-01T23:59:59.000Z

183

Peak Electricity Impacts of Residential Water Use  

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

Peak Electricity Impacts of Residential Water Use Title Peak Electricity Impacts of Residential Water Use Publication Type Report LBNL Report Number LBNL-5736E Year of Publication...

184

Residential Commissioning: A Review of Related Literature  

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

Residential Commissioning: A Review of Related Literature Title Residential Commissioning: A Review of Related Literature Publication Type Report LBNL Report Number LBNL-44535 Year...

185

Chelan County PUD - Residential Weatherization Rebate Program...  

Open Energy Info (EERE)

Residential Eligible Technologies Building Insulation, Doors, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

186

Residential Performance  

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

Residential Performance: guidelines, analysis and measurements of window and skylight performance Windows in residential buildings consume approximately 2% of all the energy used...

187

Steam System Balancing and Tuning for Multifamily Residential Buildings in Chicagoland - Second Year of Data Collection  

SciTech Connect

Steam heated buildings often suffer from uneven heating as a result of poor control of the amount of steam entering each radiator. In order to satisfy the heating load to the coldest units, other units are overheated. As a result, some tenants complain of being too hot and open their windows in the middle of winter, while others complain of being too cold and are compelled to use supplemental heat sources. Building on previous research, CNT Energy identified 10 test buildings in Chicago and conducted a study to identify best practices for the methodology, typical costs, and energy savings associated with steam system balancing. A package of common steam balancing measures was assembled and data were collected on the buildings before and after these retrofits were installed to investigate the process, challenges, and the cost effectiveness of improving steam systems through improved venting and control systems. The test buildings that received venting upgrades and new control systems showed 10.2% savings on their natural gas heating load, with a simple payback of 5.1 years. The methodologies for and findings from this study are presented in detail in this report. This report has been updated from a version published in August 2012 to include natural gas usage information from the 2012 heating season and updated natural gas savings calculations.

Choi, J.; Ludwig, P.; Brand, L.

2013-08-01T23:59:59.000Z

188

Beräkning av koldioxidutsläppet frćn bostadssektorn i Stockholms län; Estimation of Carbon Dioxide Emissions from the Residential Building Sector in the county of Stockholm.  

E-Print Network (OSTI)

?? During the last decades the housing sector has increased continuously, and housings and services accounted for 40 % of the energy usage in Sweden… (more)

Chen, Guojing

2013-01-01T23:59:59.000Z

189

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

190

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

191

Residential Building Stockg Assessment (RBSA)for  

E-Print Network (OSTI)

9/4/2013 1 Residential Building Stockg Assessment (RBSA)for Multi-Family Housing Tom Eckman Objectives Characterize Residential Sector Building Stock ­ Single Family (Four-plex and below) l if il ( i Pacific Northwest Residential Energy Survey (PNWRES92)Survey (PNWRES92) NEEA Survey of Baseline

192

Utah Natural Gas % of Total Residential Deliveries (Percent)  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) Utah Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

193

California Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) California Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

194

Ohio Natural Gas % of Total Residential Deliveries (Percent)  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) Ohio Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

195

Wisconsin Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) Wisconsin Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

196

Michigan Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) Michigan Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

197

Idaho Natural Gas % of Total Residential Deliveries (Percent...  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) Idaho Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

198

Vermont Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) Vermont Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

199

Colorado Natural Gas % of Total Residential Deliveries (Percent...  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

200

Illinois Natural Gas % of Total Residential Deliveries (Percent...  

Annual Energy Outlook 2012 (EIA)

% of Total Residential Deliveries (Percent) Illinois Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

Note: This page contains sample records for the topic "year residential sector" 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

New Mexico Natural Gas % of Total Residential Deliveries (Percent...  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) New Mexico Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

202

Texas Natural Gas % of Total Residential Deliveries (Percent...  

Gasoline and Diesel Fuel Update (EIA)

% of Total Residential Deliveries (Percent) Texas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

203

Residential | Open Energy Information  

Open Energy Info (EERE)

Residential Residential Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating.[1] Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

204

Utah Natural Gas Number of Residential Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Utah Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

205

Ohio Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Ohio Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

206

Wisconsin Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Wisconsin Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

207

Michigan Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Michigan Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

208

Idaho Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Idaho Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

209

Hawaii Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Hawaii Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

210

Kentucky Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Kentucky Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

211

Tennessee Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Tennessee Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

212

Maryland Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Maryland Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

213

Louisiana Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Louisiana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

214

Alabama Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alabama Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

215

Oklahoma Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Oklahoma Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

216

Alaska Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alaska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

217

Kansas Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Kansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

218

Illinois Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Illinois Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

219

Maine Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Maine Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

220

Florida Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Florida Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

Note: This page contains sample records for the topic "year residential sector" 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

Iowa Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Iowa Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

222

Georgia Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Georgia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

223

Arkansas Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Arkansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

224

Missouri Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Missouri Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

225

Montana Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Montana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

226

Nevada Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Nevada Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

227

Arizona Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Arizona Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

228

Nebraska Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Nebraska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

229

Minnesota Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Minnesota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

230

Delaware Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Delaware Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

231

Vermont Natural Gas Number of Residential Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Vermont Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

232

Colorado Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Colorado Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

233

Texas Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Texas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

234

Residential Humidity Control Strategies  

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

Residential Humidity Control Strategies Residential Humidity Control Strategies Armin Rudd Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas 2 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control goals  Comfort, and Indoor Air Quality  Control indoor humidity year-around, just like we do temperature  Durability and customer satisfaction  Reduce builder risk and warranty/service costs 2 3 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control challenges 1. In humid cooling climates, there will always be times of the year when there is little sensible cooling load to create thermostat demand but humidity remains high * Cooling systems that modify fan speed and temperature set point based on humidity can help but are still limited

235

Testing share & load growth in competitive residential gas markets  

SciTech Connect

The residential market stands as the next frontier for natural gas unbundling. In California, Illinois, Maryland, Massachusetts, New Jersey, New York, Ohio, Pennsylvania and elsewhere, states have introduced pilot programs and other unbundling efforts to target residential gas consumers. These efforts are hardly surprising. The residential market, presently dominated by the regulated local distribution companies, appears lucrative. In 1995, the residential sector of the U.S. natural gas industry consumed 4,736 trillion Btu of natural gas or 32 percent of all natural gas delivered by LDCs in that year. U.S. residential consumers accounted for $28.7 billion or 59 percent of the gas utility industry`s total revenues. Nevertheless, despite all the enthusiasm industry representatives have recently expressed in trade publications and public forums, the creation of a competitive residential market may prove a very slow process. Marketers appear cautious in taking the responsibility of serving residential consumers, and for very good reasons. Gaining a sizable portion of this market requires substantial investment in mass marketing, development of name recognition, acquisition of appropriate technology and employment of skillful personnel. Moreover, residential customers do not behave rationally in a {open_quotes}neoclassical{close_quotes} economic sense. They react not only to a price but to several qualitative factors that have yet to be studied by LDCs and marketers. This article offers results from creating a software program and model that answer two basic questions: (1) What share of the residential natural gas market can be realistically captured by non-regulated suppliers? (2) Will residential unbundling increase total throughput for gas utilities? If so, by how much?

Lonshteyn, A. [Boston Gas Company, MA (United States)

1998-02-15T23:59:59.000Z

236

Energy Perspectives: Industrial and transportation sectors ...  

U.S. Energy Information Administration (EIA)

Since 2008, energy use in the transportation, residential, and commercial sectors stayed relatively constant or fell slightly. Industrial consumption grew in 2010 and ...

237

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

E-Print Network (OSTI)

L ABORATORY Japan’s Residential Energy Demand Outlook tol i f o r n i a Japan’s Residential Energy Demand Outlook toParticularly in Japan’s residential sector, where energy

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

238

Residential energy use in Mexico: Structure, evolution, environmental impacts, and savings potential  

SciTech Connect

This article examines the characteristics of residential energy use in Mexico, its environmental impacts, and the savings potential of the major end-uses. The main options and barriers to increase the efficiency of energy use are discussed. The energy analysis is based on a disaggregation of residential energy use by end-uses. The dynamics of the evolution of the residential energy sector during the past 20 years are also addressed when the information is available. Major areas for research and for innovative decision-making are identified and prioritized.

Masera, O.; Friedmann, R.; deBuen, O.

1993-05-01T23:59:59.000Z

239

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

240

Residential propane prices increase  

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

from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The retail price...

Note: This page contains sample records for the topic "year residential sector" 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

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

242

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Propane prices...

243

California Natural Gas Residential Consumption (Million Cubic ...  

U.S. Energy Information Administration (EIA)

California Natural Gas Residential Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1960's: 522,122 ...

244

Connecticut Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

245

Mississippi Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Mississippi Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

246

Pennsylvania Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Pennsylvania Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

247

Massachusetts Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Massachusetts Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

248

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

SciTech Connect

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

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

249

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

SciTech Connect

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

McNeil, Michael A.; Letschert, Virginie E.

2007-05-01T23:59:59.000Z

250

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

251

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

252

Residential Transportation Historical Publications reports, data and  

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

Historical Publications Historical Publications Residential Transportation reports, data tables and transportation questionnaires Released: May 2008 The Energy Information Administration conducts several core consumption surveys. Among them was the Residential Transportation Energy Consumption Survey (RTECS). RTECS was designed by EIA to provide information on how energy is used by households for personal vehicles. It was an integral part of a series of surveys (i.e., core consumption surveys) designed by EIA to collect data on energy used by end-use economic sectors. The RTECS collected data on the number and type of vehicles used by the household. For each vehicle, data were collected on the number of miles traveled (commonly called VMT) for the year, the number of gallons of fuel consumed, the type of fuel used, the priced paid for fuel, and the number of miles per gallon. Additional electronic releases are available on the Transportation homepage.

253

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

254

Regional Residential  

Gasoline and Diesel Fuel Update (EIA)

upward pressure from crude oil markets, magnified by a regional shortfall of heating oil supplies, residential prices rose rapidly to peak February 7. The problem was...

255

Utility Residential New Construction Programs: Going Beyond the...  

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

Utility Residential New Construction Programs: Going Beyond the Code Title Utility Residential New Construction Programs: Going Beyond the Code Publication Type Report Year of...

256

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network (OSTI)

: Small Commercial, Residential Author: Haider Taha VII. Solar Domestic Water Heaters........................................................................... 59 End-Use: Water Heating Sector: Residential Author: Jim Lutz VIII. Heat Pump Water Heaters ................................................................................. 63 End-Use: Water Heating Sector: Residential Author: Jim Lutz IX. Energy-Efficient Motors

257

EIA-Annual Energy Outlook 2009 -Year-by-Year Reference Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Tables (2006-2030) Reference Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 Year-by-Year Reference Case Tables (2006-2030) Table Title Formats Summary Reference Case Tables PDF GIF Year-by-Year Reference Case Tables Year-by-Year Reference Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption

258

U.S. Residential Electricity Use Trends  

Science Conference Proceedings (OSTI)

This report summarizes electricity end use in the residential sector, with national level and regional level data. Load shapes for residential energy use are also provided, with focus on two example U.S. Census region divisions: East South Central and Mountain.

2008-08-29T23:59:59.000Z

259

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

E-Print Network (OSTI)

years later, standards on these products alone were estimated to have reduced annual national electricity consumptionyear, given by UEC 0c (y) = UEC 0 (Income c (y),CDD) The total electricity consumption

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

260

Financing Non-Residential Photovoltaic Projects: Options and Implications  

Science Conference Proceedings (OSTI)

Installations of grid-connected photovoltaic (PV) systems in the United States have increased dramatically in recent years, growing from less than 20 MW in 2000 to nearly 500 MW at the end of 2007, a compound average annual growth rate of 59%. Of particular note is the increasing contribution of 'non-residential' grid-connected PV systems--defined here as those systems installed on the customer (rather than utility) side of the meter at commercial, institutional, non-profit, or governmental properties--to the overall growth trend. Although there is some uncertainty in the numbers, non-residential PV capacity grew from less than half of aggregate annual capacity installations in 2000-2002 to nearly two-thirds in 2007. This relative growth trend is expected to have continued through 2008. The non-residential sector's commanding lead in terms of installed capacity in recent years primarily reflects two important differences between the non-residential and residential markets: (1) the greater federal 'Tax Benefits'--including the 30% investment tax credit (ITC) and accelerated tax depreciation--provided to commercial (relative to residential) PV systems, at least historically (this relative tax advantage has largely disappeared starting in 2009) and (2) larger non-residential project size. These two attributes have attracted to the market a number of institutional investors (referred to in this report as 'Tax Investors') seeking to invest in PV projects primarily to capture their Tax Benefits. The presence of these Tax Investors, in turn, has fostered a variety of innovative approaches to financing non-residential PV systems. This financial innovation--which is the topic of this report--has helped to overcome some of the largest barriers to the adoption of non-residential PV, and is therefore partly responsible (along with the policy changes that have driven this innovation) for the rapid growth in the market seen in recent years.ii Specifically, due to financial innovation, non-residential entities interested in PV no longer face prohibitively high up-front costs, no longer need to be able to absorb Tax Benefits in order to make the economics pencil out, no longer need to be able to operate and maintain the system, and no longer need to accept the risk that the system does not perform as expected.

Bolinger, Mark

2009-01-09T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

Longmont Power & Communications - Residential and Commercial...  

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

& Electronics Maximum Rebate 50 per appliance. Residential: 1 clothes washer and 1 dishwasher per year Commercial: 3 clothes washers and 3 dishwashers per year Program...

262

Electricity-use Feedback in the Commercial Sector: Examining the Potential for Building Occupant Behavior Change  

Science Conference Proceedings (OSTI)

Feedback technologies to encourage behavior change have been explored in the residential sector for the past three decades, but the savings potential of using feedback strategies in the commercial sector, which represents over one quarter of US electricity sales, has yet to be adequately explored. Although a number of building load control technologies that include some form of feedback provision have existed for some years, they generally target technical staff. The focus of this report is to understand...

2010-12-13T23:59:59.000Z

263

State Residential Energy Consumption Shares  

Gasoline and Diesel Fuel Update (EIA)

This next slide shows what fuels are used in the residential market. When a This next slide shows what fuels are used in the residential market. When a energy supply event happens, particularly severe winter weather, it is this sector that the government becomes most concerned about. As you can see, natural gas is very important to the residential sector not only in DC, MD and VA but in the United States as well. DC residents use more natural gas for home heating than do MD and VA. While residents use heating oil in all three states, this fuel plays an important role in MD and VA. Note: kerosene is included in the distillate category because it is an important fuel to rural households in MD and VA. MD and VA rely more on electricity than DC. Both MD and VA use propane as well. While there are some similarities in this chart, it is interesting to note

264

SMUD's Residential Summer Solutions Study  

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

SMUD's Residential Summer Solutions Study SMUD's Residential Summer Solutions Study Speaker(s): Karen Herter Date: August 26, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page In 2009, the DRRC and SMUD teamed up to test the use of dynamic pricing and communicating thermostats in the small commercial sector. The final results showed summer energy savings of 20%, event impacts of 14%, and bill savings of 25%. In 2011, the same team will conduct a similar study involving residential customers with interval meters. The study is designed to inform the transition to the Sacramento smart grid through experimentation with real-time energy use data and communicating thermostats, both with and without dynamic pricing. Three randomly chosen groups of residential customers were offered one of three equipment configuration treatments: (a)

265

Greenhouse Gas Emission Reduction in the ENERGY STAR Commercial, Industrial and Residential Sectors. An Example of How the Refinery Industry is Capitalizing on ENERGY STAR  

E-Print Network (OSTI)

In the past 10 years ENERGY STAR has developed a track record as a certification mark to hang buildings performance hat on. By implementing upgrade strategies and pursuing operations and maintenance issues simultaneously, ENERGY STAR has led the nation and many states to pursue greenhouse gas reduction initiatives using energy efficiency as a model program. In developing these partnerships with industry, states and local government, what has occurred is a variety of program approaches that works to accomplish strategically a reduction in emissions. Through its development, ENERGY STAR has become an integral player with many Green Buildings Program to help them carry the energy efficiency banner to higher levels of cooperation. What is occurring today is that more and more local programs are looking to green buildings as an approach to reducing problems they face in air pollution, water pollution, solid waste, needed infrastructure and better of resources needs and the growth of expensive utility infrastructures. EPA - Region 6's ENERGY STAR and Green Building Program assistance has led to some unique solutions and the beginning workups for the integrated expansion of effort to support State Implementation Plans in new innovative voluntary approaches to transform certain markets, similarly to those of energy efficient products. This presentation will be an overview of activity that is being spearheaded in Texas in the DFW and Houston metro areas in ENERGY STAR and Green Buildings. The voluntary programs impacts are reducing energy consumption, creating markets for renewables, reducing air polluting chemicals and reducing greenhouse gas emissions using verifiable approaches.

Patrick, K.

2008-01-01T23:59:59.000Z

266

AEO2011: Renewable Energy Consumption by Sector and Source | OpenEI  

Open Energy Info (EERE)

Consumption by Sector and Source Consumption by Sector and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 17, and contains only the reference case. The dataset uses quadrillion Btu. The data is broken down into marketed renewable energy, residential, commercial, industrial, transportation and electric power. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Renewable Energy Consumption Residential sector source transportation Data application/vnd.ms-excel icon AEO2011: Renewable Energy Consumption by Sector and Source- Reference Case (xls, 105 KiB) Quality Metrics Level of Review Peer Reviewed

267

Philadelphia Gas Works - Residential and Commercial Construction Incentives  

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

Philadelphia Gas Works - Residential and Commercial Construction Philadelphia Gas Works - Residential and Commercial Construction Incentives Program (Pennsylvania) Philadelphia Gas Works - Residential and Commercial Construction Incentives Program (Pennsylvania) < Back Eligibility Commercial Industrial Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Maximum Rebate Residential: $750 Commercial: $60,000 Program Info Start Date 9/1/2012 Expiration Date 8/31/2015 State Pennsylvania Program Type Utility Rebate Program Rebate Amount '''Residential''' Residential Construction: $750 '''Commercial/Industrial''' 10% to 20% to 30% above code, $40/MMBtu first-year savings Philadelphia Gas Works (PGW) provides incentives to developers, home

268

Residential Buildings  

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

Exterior and interior of apartment building Exterior and interior of apartment building Residential Buildings The study of ventilation in residential buildings is aimed at understanding the role that air leakage, infiltration, mechanical ventilation, natural ventilation and building use have on providing acceptable indoor air quality so that energy and related costs can be minimized without negatively impacting indoor air quality. Risks to human health and safety caused by inappropriate changes to ventilation and air tightness can be a major barrier to achieving high performance buildings and must be considered.This research area focuses primarily on residential and other small buildings where the interaction of the envelope is important and energy costs are dominated by space conditioning energy rather than air

269

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 |  

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

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 Residential Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming

270

Guidelines for residential commissioning  

E-Print Network (OSTI)

Potential Benefits of Commissioning California Homes”.Delp. 2000. “Residential Commissioning: A Review of Relatedfor Evaluating Residential Commissioning Metrics” Lawrence

Wray, Craig P.; Walker, Iain S.; Sherman, Max H.

2003-01-01T23:59:59.000Z

271

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

SciTech Connect

The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

2009-03-31T23:59:59.000Z

272

Residential heating oil prices increase  

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

ago to 3.98 per gallon. That's up 6-tenths of a penny from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Heating oil...

273

Residential heating oil prices increase  

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

last week to 3.92 per gallon. That's down 11 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The price for...

274

Residential heating oil prices increase  

Gasoline and Diesel Fuel Update (EIA)

last week to 3.96 per gallon. That's down 2.6 cents from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. The price for...

275

Wisconsin Natural Gas Residential Consumption (Million Cubic Feet)  

U.S. Energy Information Administration (EIA)

Wisconsin Natural Gas Residential Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1960's: 90,994 ...

276

Michigan Kerosene Adj Sales/Deliveries to Residential Consumers ...  

U.S. Energy Information Administration (EIA)

Michigan Kerosene Adj Sales/Deliveries to Residential Consumers (Thousand Gallons) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's:

277

Illinois Kerosene Sales/Deliveries to Residential Consumers ...  

U.S. Energy Information Administration (EIA)

Illinois Kerosene Sales/Deliveries to Residential Consumers (Thousand Gallons) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's ...

278

New Mexico Natural Gas Number of Residential Consumers (Number...  

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

(Number of Elements) New Mexico Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

279

New Mexico Natural Gas % of Total Residential Consumers Delivered...  

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

Mexico Natural Gas % of Total Residential Consumers Delivered for the Account of Others (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

280

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

Note: This page contains sample records for the topic "year residential sector" 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

OpenEI - residential sector key indicators  

Open Energy Info (EERE)

class"field-items">

http:www.eia.doe.govforecastsaeo
...

282

Environmental assessment in support of proposed voluntary energy conservation standard for new residential buildings  

Science Conference Proceedings (OSTI)

The objective of this environmental assessment (EA) is to identify the potential environmental impacts that could result from the proposed voluntary residential standard (VOLRES) on private sector construction of new residential buildings. 49 refs., 15 tabs.

Hadley, D.L.; Parker, G.B.; Callaway, J.W.; Marsh, S.J.; Roop, J.M.; Taylor, Z.T.

1989-06-01T23:59:59.000Z

283

Number of Retail Customers by State by Sector, 1990-2012  

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

Number of Retail Customers by State by Sector, 1990-2012" Number of Retail Customers by State by Sector, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",275405,48790,1263,0,"NA",325458 2012,"AL","Total Electric Industry",2150977,357395,7168,0,"NA",2515540 2012,"AR","Total Electric Industry",1332154,181823,33926,2,"NA",1547905 2012,"AZ","Total Electric Industry",2585638,305250,7740,0,"NA",2898628 2012,"CA","Total Electric Industry",13101887,1834779,73805,12,"NA",15010483

284

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990  

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

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",2160196,2875038,1381177,0,"NA",6416411 2012,"AL","Total Electric Industry",30632261,21799181,33751106,0,"NA",86182548 2012,"AR","Total Electric Industry",17909301,12102048,16847755,463,"NA",46859567 2012,"AZ","Total Electric Industry",32922970,29692256,12448117,0,"NA",75063343 2012,"CA","Total Electric Industry",90109995,121791536,46951714,684793,"NA",259538038

285

Annual Energy Outlook 2009 - Year-by-Year High Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

High Macroeconomic Growth Case Tables (2006-2030) High Macroeconomic Growth Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Year-by-Year High Economic Growth Case Tables (2006-2030) Table Title Formats Summary High Economic Growth Case Tables PDF GIF High Economic Growth Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions

286

New Mexico Natural Gas Number of Residential Consumers - Sales...  

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

Sales (Number of Elements) New Mexico Natural Gas Number of Residential Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

287

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

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

Full report (4.1 mb) Full report (4.1 mb) Heating, cooling, & water heating equipment Appendix A - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.9 mb) Appendix B - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.3 mb) Lighting and commercial ventilation & refrigeration equipment Appendix C - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.1 mb) Appendix D - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.1 mb) Updated Buildings Sector Appliance and Equipment Costs and Efficiency Release date: August 7, 2013 Energy used in the residential and commercial sectors provides a wide range

288

Analysis of changes in residential energy consumption, 1973-1980  

Science Conference Proceedings (OSTI)

The progress of energy conservation in the residential sector since the 1973 to 1974 Arab oil embargo is assessed. To accomplish this goal, the reduction in residential energy use per household since 1973 is disaggregated into six possible factors. The factors considered were: (1) building shell efficiencies, (2) geographic distribution of households, (3) appliance efficiency, (4) size of dwelling units, (5) fuel switching, and (6) consumer attitudes. The most important factor identified was improved building shell efficiency, although the impact of appliance efficiency is growing rapidly. Due to data limitations, PNL was not able to quantify the effects of two factors (size of dwelling units and fuel switching) within the framework of this study. The total amount of the energy reduction explained ranged from 18 to 46% over the years 1974 to 1980.

King, M.J.; Belzer, D.B.; Callaway, J.M.; Adams, R.C.

1982-09-01T23:59:59.000Z

289

Propane Demand by Sector  

U.S. Energy Information Administration (EIA)

We will be watching the agricultural sector, since the Agriculture Economic Research Service has predicted a record corn crop this year. ...

290

Improving the Energy Efficiency of Residential Buildings | Department of  

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

Residential Buildings Residential Buildings Improving the Energy Efficiency of Residential Buildings Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More The Building Technologies Office (BTO) collaborates with the residential building industry to improve the energy efficiency of both new and existing homes. By developing, demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development Conduct research that focuses on engineering solutions to design, test, and

291

Residential Energy Audits  

E-Print Network (OSTI)

A series of events coupled with the last five years experience performing Residential Conservation Service (RCS) audits have resulted in renewed efforts by utilities to evaluate the role of residential energy audits. There are utilities where the RCS program is considered very successful; however, the majority of utilities have found that the costs far exceed the benefits. Typically, the response rates are low (less than 1% per year for Texas utilities), the audits primarily reach upper income persons, and consumers only implement the low-cost recommendations. The Texas PUC is on record as being opposed to the RCS as well as the Commercial and Apartment Conservation Service (CACS) and now requires Energy Efficiency Plans with detailed cost and savings information on utility end user programs.

Brown, W.

1985-01-01T23:59:59.000Z

292

Financial modeling of consumer discount rate in residential solar photovoltaic purchasing decisions.  

E-Print Network (OSTI)

??Diffusion of microgeneration technologies, particularly rooftop photovoltaic (PV), represents a key option in reducing emissions in the residential sector. This thesis uses a uniquely rich… (more)

Sigrin, Benjamin O.

2013-01-01T23:59:59.000Z

293

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates |  

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

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Lighting: Purchases limited to 20 CFLs per customer per year Refrigerator/Freezer Recycling: $70 (limit of 2 per customer per program year) Program Info Funding Source Illinois Energy Efficiency Portfolio Standard (EEPS) State Illinois Program Type Utility Rebate Program Rebate Amount New Construction Builder Incentives: Contact ComEd Lighting: In-store discount

294

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

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity On This Page Residential and... Coal-fired plants... Most new capacity... Annual capacity... Growth in generating... Costs and regulatory... EPACT2005 tax... Biomass and wind... Renewable capacity... State portfolio... Electricity use... Real Growth in... Improved interconn... Residential and commercial sectors dominate electricity demand growth Electricity demand growth has slowed in each decade since the 1950s. After 9.8-percent annual growth in the 1950s, demand (including retail sales and direct use) increased 2.4 percent per year in the 1990s. From 2000 to 2009 (including the 2008-2009 economic downturn) demand grew by 0.5 percent per year. In the Reference case, electricity demand growth rebounds but remains relatively slow, as growing demand for electricity services is offset by

295

EPA_T1542_SECTOR_ResHomeImprv  

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

Home Improvement: An Overview of Home Improvement: An Overview of Energy Use and Energy Efficiency Opportunities Energy Use in Residential Home Improvement American homes account for 21 percent of the nation's energy use; in fact, the average home releases twice as much harmful greenhouse gas into the atmosphere as the average vehicle. The residential sector contributes 335 million metric tons of carbon to the atmosphere each year. A typical household spends $1,900 per year on energy bills, half of which are heating and cooling costs. Fortunately, there are many cost-effective opportunities to reduce energy use in homes. The U.S. Environmental Protection Agency (EPA) estimates that homeowners can save up to 30 percent on energy bills with ENERGY STAR. Energy Efficiency Opportunities

296

New Mexico Natural Gas Number of Residential Consumers - Transported...  

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

Transported (Number of Elements) New Mexico Natural Gas Number of Residential Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

297

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

298

Renewable Energy Consumption by Energy Use Sector and Energy Source, 2004 -  

Open Energy Info (EERE)

by Energy Use Sector and Energy Source, 2004 - by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description Provides annual consumption (in quadrillion Btu) of renewable energy by energy use sector (residential, commercial, industrial, transportation and electricity) and by energy source (e.g. solar, biofuel) for 2004 through 2008. Original sources for data are cited on spreadsheet. Also available from: www.eia.gov/cneaf/solar.renewables/page/trends/table1_2.xls Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords annual energy consumption biodiesel Biofuels biomass energy use by sector ethanol geothermal Hydroelectric Conventional Landfill Gas MSW Biogenic Other Biomass renewable energy Solar Thermal/PV Waste wind Wood and Derived Fuels Data application/vnd.ms-excel icon RE Consumption by Energy Use Sector, Excel file (xls, 32.8 KiB)

299

ENERGY STAR Residential Water Heaters to Save Americans Up to...  

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

ENERGY STAR Residential Water Heaters to Save Americans Up to 823 Million in the Next Five Years ENERGY STAR Residential Water Heaters to Save Americans Up to 823 Million in the...

300

Entity State Code Class of Ownership Residential Commercial...  

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

Code Class of Ownership Residential Commercial Industrial Transportation All Sectors DTE Energy Services AL Non-Utility - - 458,868 - 458,868 Riceland Foods Inc. AR Non-Utility -...

Note: This page contains sample records for the topic "year residential sector" 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

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

Smith, C A; Johnson, D M; Simon, A J; Belles, R D

2011-12-12T23:59:59.000Z

302

Calculating Residential Carbon Dioxide Emissions --A New Approach  

E-Print Network (OSTI)

Calculating Residential Carbon Dioxide Emissions -- A New Approach Larry Hughes, Kathleen Bohan to submit an annual national greenhouse gas inventory to the United Nations Framework Convention on Climate different sectors and their associated greenhouse gas emissions (principally carbon dioxide, methane

Hughes, Larry

303

The U. S. transportation sector in the year 2030: results of a two-part Delphi survey.  

SciTech Connect

A two-part Delphi Survey was given to transportation experts attending the Asilomar Conference on Transportation and Energy in August, 2011. The survey asked respondents about trends in the US transportation sector in 2030. Topics included: alternative vehicles, high speed rail construction, rail freight transportation, average vehicle miles traveled, truck versus passenger car shares, vehicle fuel economy, and biofuels in different modes. The survey consisted of two rounds -- both asked the same set of seven questions. In the first round, respondents were given a short introductory paragraph about the topic and asked to use their own judgment in their responses. In the second round, the respondents were asked the same questions, but were also given results from the first round as guidance. The survey was sponsored by Argonne National Lab (ANL), the National Renewable Energy Lab (NREL), and implemented by University of California at Davis, Institute of Transportation Studies. The survey was part of the larger Transportation Energy Futures (TEF) project run by the Department of Energy, Office of Energy Efficiency and Renewable Energy. Of the 206 invitation letters sent, 94 answered all questions in the first round (105 answered at least one question), and 23 of those answered all questions in the second round. 10 of the 23 second round responses were at a discussion section at Asilomar, while the remaining were online. Means and standard deviations of responses from Round One and Two are given in Table 1 below. One main purpose of Delphi surveys is to reduce the variance in opinions through successive rounds of questioning. As shown in Table 1, the standard deviations of 25 of the 30 individual sub-questions decreased between Round One and Round Two, but the decrease was slight in most cases.

Morrison, G.; Stephens, T.S. (Energy Systems); (Univ. of California at Davis); (ES)

2011-10-11T23:59:59.000Z

304

Mansfield Municipal Electric Department - Residential Energy Efficiency  

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

Mansfield Municipal Electric Department - Residential Energy Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Maximum Rebate $100 limit per customer account for appliances purchased in the same calendar year. Program Info Expiration Date 12/31/2014 State Massachusetts Program Type Utility Rebate Program Rebate Amount Central AC: $100 Refrigerators: $100 Clothes Washing Machines: $100 Dishwashers: $75 Dehumidifiers: $50 Window Air Conditioners: $50 Provider Mansfield Municipal Electric Department Mansfield Municipal Electric Department encourages energy efficiency

305

Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency  

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

Farmers Electric Cooperative (Kalona) - Residential Energy Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Geothermal Heat Pumps: 5 ton CFL Bulbs: 12 bulbs per year Program Info State Iowa Program Type Utility Rebate Program Rebate Amount CFL Bulbs: $2/bulb Geothermal Heat Pumps (New Construction): $350/ton Geothermal Heat Pumps (Upgrade): $700/ton Air Source Heat Pumps (New Construction): $800 Air Source Heat Pumps (Upgrade): $400 Central Air Conditioners: $100 - $200 Heat Pump Water Heaters: $400

306

Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching  

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

Farmers Electric Cooperative (Kalona) - Residential Efficiency Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Commercial Heating & Cooling Program Info State Iowa Program Type Utility Grant Program Rebate Amount 50% of cost, up to $100 Provider Farmers Electric Cooperative Farmers Electric Cooperative (FEC) offers a grant program which splits the cost of simple energy efficient improvements to the home. The utility will cover 50% of the cost of eligible improvements made by the participating member. Grants are limited to $100 per year. A variety of measures and

307

Evaluation of evolving residential electricity tariffs , Nicholas DeForest o  

E-Print Network (OSTI)

Poster: Evaluation of evolving residential electricity tariffs Judy Lai o , Nicholas DeForest o-130% of baseline) Tier 1 (Baseline) Evaluation of evolving residential electricity tariffs Judy Lai o, Nicholas De sold to the residential sector. Tariffs are colour coded and generally are increasing both through time

308

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

SciTech Connect

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

309

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

SciTech Connect

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

310

Kissimmee Utility Authority - Residential Energy Efficiency Rebate Program  

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

Residential Energy Efficiency Rebate Residential Energy Efficiency Rebate Program Kissimmee Utility Authority - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Sealing Your Home Ventilation Appliances & Electronics Commercial Lighting Lighting Maximum Rebate One piece of equipment or measure per customer, per year Program Info State Florida Program Type Utility Rebate Program Rebate Amount Duct Leak Repair: $75 HVAC Maintenance: $50 HVAC Replacement: $225 Insulation: $100 CFL/LED Lamp: $15/lamp Provider Senior Energy Conservation Specialist Kissimmee Utility Authority (KUA) offers several rebates to residential customers for energy efficiency improvements. Residential customers can

311

Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas  

SciTech Connect

This document presents the final report of a study of residential energy use in Caracas, the capital of Venezuela. It contains the findings of a household energy-use survey held in Caracas in 1988 and examines options for introducing energy conservation measures in the Venezuelan residential sector. Oil exports form the backbone of the Venezuelan economy. Improving energy efficiency in Venezuela will help free domestic oil resources that can be sold to the rest of the world. Energy conservation will also contribute to a faster recovery of the economy by reducing the need for major investments in new energy facilities, allowing the Venezuelan government to direct its financial investments towards other areas of development. Local environmental benefits will constitute an important additional by-product of implementing energy-efficiency policies in Venezuela. Caracas`s residential sector shows great potential for energy conservation. The sector is characterized by high saturation levels of major appliances, inefficiency of appliances available in the market, and by careless patterns of energy use. Household energy use per capita average 6.5 GJ/per year which is higher than most cities in developing countries; most of this energy is used for cooking. Electricity accounts for 41% of all energy use, while LPG and natural gas constitute the remainder. Specific options for inducing energy conservation and energy efficiency in Caracas`s residential sector include energy-pricing policies, fuel switching, particularly from electricity to gas, improving the energy performance of new appliances and customer information. To ensure the accomplishment of an energy-efficiency strategy, a concerted effort by energy users, manufacturers, utility companies, government agencies, and research institutions will be needed.

Figueroa, M.J.; Ketoff, A.; Masera, O.

1992-10-01T23:59:59.000Z

312

Property For Homeowners- Residential  

E-Print Network (OSTI)

Targets improvements on certain types of property that will save energy when compared to the property which they replaced. • Provides for a uniform credit of 30 percent of the cost of qualifying improvements. • Cap for all tax years is now $1,500, three times the prior legislation provided. • Temporarily can rely on existing manufacturer certifications or appropriate Energy Star labels for purchasing qualified products. For Homeowners- Expanded Energy Efficient Property Tax Credit for Residences • Residential energy efficient property credit has expanded to include more alternate energy equipment.

Tom Sheaffer; Stakeholder Liaison; New Clean Renewable Energy Bonds

2009-01-01T23:59:59.000Z

313

ASHRAE and residential ventilation  

SciTech Connect

In the last quarter of a century, the western world has become increasingly aware of environmental threats to health and safety. During this period, people psychologically retreated away from outdoors hazards such as pesticides, smog, lead, oil spills, and dioxin to the seeming security of their homes. However, the indoor environment may not be healthier than the outdoor environment, as has become more apparent over the past few years with issues such as mold, formaldehyde, and sick-building syndrome. While the built human environment has changed substantially over the past 10,000 years, human biology has not; poor indoor air quality creates health risks and can be uncomfortable. The human race has found, over time, that it is essential to manage the indoor environments of their homes. ASHRAE has long been in the business of ventilation, but most of the focus of that effort has been in the area of commercial and institutional buildings. Residential ventilation was traditionally not a major concern because it was felt that, between operable windows and envelope leakage, people were getting enough outside air in their homes. In the quarter of a century since the first oil shock, houses have gotten much more energy efficient. At the same time, the kinds of materials and functions in houses changed in character in response to people's needs. People became more environmentally conscious and aware not only about the resources they were consuming but about the environment in which they lived. All of these factors contributed to an increasing level of public concern about residential indoor air quality and ventilation. Where once there was an easy feeling about the residential indoor environment, there is now a desire to define levels of acceptability and performance. Many institutions--both public and private--have interests in Indoor Air Quality (IAQ), but ASHRAE, as the professional society that has had ventilation as part of its mission for over 100 years, is the logical place to provide leadership. This leadership has been demonstrated most recently by the publication of the first nationally recognized standard on ventilation in homes, ASHRAE Standard 62.2-2003, which builds on work that has been part of ASHRAE for many years and will presumably continue. Homeowners and occupants, which includes virtually all of us, will benefit from the application of Standard 62.2 and use of the top ten list. This activity is exactly the kind of benefit to society that the founders of ASHRAE envisioned and is consistent with ASHRAE's mission and vision. ASHRAE members should be proud of their Society for taking leadership in residential ventilation.

Sherman, Max H.

2003-10-01T23:59:59.000Z

314

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect

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

Belzer, David B.

2006-12-04T23:59:59.000Z

315

Residential | OpenEI  

Open Energy Info (EERE)

Residential Residential Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

316

Sector 7  

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

Publications Publications A Reminder for Sector 7 PIs and Users: Please report your new publications to the Sector Manager and the CAT Director. The APS requires PIs to submit new publications to its Publication Database, a link which can be found on the Publication section of the APS web site. Publication information for work done at 7ID Proper acknowledgement sentences to include in papers. Sector 7 Call for APS User Activity Reports. APS User Activity Reports by MHATT-CATers. Recent articles Recent theses Sector 7 Reports Sector 7 Recent research highlights (New) Design documents in ICMS on Sector 7 construction and operation Sector 7 related ICMS documents Library Resources available on the WWW The ANL Library system ANL electronic journal list AIM Find it! Citation Ranking by ISI (see Journal citation report)

317

Power Quality for Satisfied Commercial and Residential Customers Field Test Plan: Monitoring Residential Power Quality  

Science Conference Proceedings (OSTI)

Residential customers are purchasing more and more microprocessor-based appliances. Many of the traditional residential loads, such as heating and air-conditioning equipment, washers and dryers, stoves and cook tops, and audio/video equipment, now have microprocessor technology incorporated into their designs. These appliances tend to be more sensitive than their predecessors, and it is of interest to understand the level of power quality that is experienced at the residential level. EPRI's three-year st...

2000-11-28T23:59:59.000Z

318

INTERNATIONAL COMPARISON OF RESIDENTIAL ENERGY USE: INDICATORS OF RESIDENTIAL ENERGY USE AND EFFICIENCY PART ONE: THE DATA BASE  

Science Conference Proceedings (OSTI)

This summary report presents information on the end-uses of energy in the residential sector of seven major OECD countries over the period 1960-1978. Much of the information contained herein has never been published before. We present data on energy consumption by energy type and end-use for three to five different years for each country. Each year table is complemented by a set of indicators, which are assembled for the entire 20-year period at the end of each country listing. Finally, a set of key indicators from each country is displayed together in a table, allowing comparison for three periods: early (1960-63), pre-embargo (1970-73), and recent (1975-78). Analysis of these results, smoothing and interpolation of the data, addition of further data, and analytical comparison of in-country and cross-country trends will follow in the next phase of our work.

Schipper, L.; Ketoff, A.; Meyers, S.

1981-05-01T23:59:59.000Z

319

Attribution of climate forcing to economic sectors  

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

Attribution of climate forcing to economic sectors Title Attribution of climate forcing to economic sectors Publication Type Journal Article Year of Publication 2010 Authors Unger,...

320

Building Energy Retrofit Research: Multifamily Sector  

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

Building Energy Retrofit Research: Multifamily Sector Title Building Energy Retrofit Research: Multifamily Sector Publication Type Report Year of Publication 1985 Authors Diamond,...

Note: This page contains sample records for the topic "year residential sector" 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

Cedar Falls Utilities - Residential Energy Efficiency Rebate Program |  

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

Residential Energy Efficiency Rebate Residential Energy Efficiency Rebate Program Cedar Falls Utilities - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Appliances & Electronics Design & Remodeling Windows, Doors, & Skylights Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Appliance Recycling: 2 rebates per residential account, per appliance type annually Ceiling Fan Light Kits: $20 per light kit; 6 per account per year Central A/C: $400 Air Source Heat Pump: $600 Attic/Ceiling Insulation: $1,000 Air Sealing/Caulking/Weather Stripping: $200 CFL: 50% of cost, up to $5 (10 per customer per year)

322

Residential Wood Residential wood combustion (RWC) is  

E-Print Network (OSTI)

Residential Wood Combustion Residential wood combustion (RWC) is increasing in Europe because PM2.5. Furthermore, other combustion- related sources of OA in Europe may need to be reassessed. Will it affect global OA emission estimates? Combustion of biofuels is globally one of the major OA sources

323

Analysis of ultimate energy consumption by sector in Islamic republic of Iran  

Science Conference Proceedings (OSTI)

Total ultimate energy consumption in Iran was 1033.32 MBOE in 2006, and increased at an average annual rate of 6% in 1996-2006. Household and commercial sector has been the main consumer sector (418.47 MBOE) and the fastest-growing sector (7.2%) that ... Keywords: Iran, agricultural sector, energy audits, energy consumption, industrial sector, residential and commercial sector, transportation sector

B. Farahmandpour; I. Nasseri; H. Houri Jafari

2008-02-01T23:59:59.000Z

324

Residential heating oil prices virtually unchanged  

Gasoline and Diesel Fuel Update (EIA)

to 3.95 per gallon. That's down 8-tenths of a penny from a year ago, based on the residential heating fuel survey by the U.S. Energy Information Administration. Heating oil...

325

Yearly  

E-Print Network (OSTI)

In 2009, a new activity was launched under the International Energy Agency Wind Implementing Agreement (IEA Wind) for the small wind sector. The main focus of this activity, called Task 27, is to develop recommended practices for consumer labeling of existing commercial small wind turbines. Participants will also exchange information about the status of the small wind industry in the member countries. This report outlines the status of the small wind sector in 2009 in the countries participating in Task 27. (For more information about IEA Wind and the consumer label developed under Task 27, see www.ieawind.org.)

unknown authors

2009-01-01T23:59:59.000Z

326

National Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry (Fact Sheet)  

DOE Green Energy (OSTI)

This technical highlight describes NREL research to develop a publicly available database of energy retrofit measures containing performance characteristics and cost estimates for nearly 3,000 measures. Researchers at the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) have developed the National Residential Efficiency Measures Database, a public database that characterizes the performance and costs of common residential energy efficiency measures. The data are available for use in software programs that evaluate cost-effective retrofit measures to improve the energy efficiency of residential buildings. The database provides a single, consistent source of current data for DOE and private-sector energy audit and simulation software tools and the retrofit industry. The database will reduce risk for residential retrofit industry stakeholders by providing a central, publicly vetted source of up-to-date information.

Not Available

2012-01-01T23:59:59.000Z

327

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

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Industrial and electric power sectors lead U.S. growth in natural gas consumption figure data U.S. total natural gas consumption grows from 24.4 trillion cubic feet in 2011 to 29.5 trillion cubic feet in 2040 in the AEO2013 Reference case. Natural gas use increases in all the end-use sectors except residential (Figure 85), where consumption declines as a result of improvements in appliance efficiency and falling demand for space heating, attributable in part to population shifts to warmer regions of the country. Despite falling early in the projection period from a spike in 2012, which resulted from very low natural gas prices relative to coal, consumption of natural gas for power generation increases by an average of 0.8 percent per year, with more natural gas used for electricity production as relatively

328

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

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Industrial and electric power sectors lead U.S. growth in natural gas consumption figure data U.S. total natural gas consumption grows from 24.4 trillion cubic feet in 2011 to 29.5 trillion cubic feet in 2040 in the AEO2013 Reference case. Natural gas use increases in all the end-use sectors except residential (Figure 85), where consumption declines as a result of improvements in appliance efficiency and falling demand for space heating, attributable in part to population shifts to warmer regions of the country. Despite falling early in the projection period from a spike in 2012, which resulted from very low natural gas prices relative to coal, consumption of natural gas for power generation increases by an average of 0.8 percent per year, with more natural gas used for electricity production as relatively

329

Central Georgia EMC- Residential Energy Efficiency Rebate Program  

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

Central Georgia Electric Member Corporation (CGEMC) offers rebates for residential customers to increase the energy efficiency of existing homes or to build new energy efficient homes. This year,...

330

Trends in U.S. Residential Natural Gas Consumption  

U.S. Energy Information Administration (EIA)

Natural gas prices may have also contributed to the decrease in natural gas consumption over the last 19 years. Residential natural gas prices have

331

Sector 7  

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

User Information & Getting Beamtime User Information & Getting Beamtime There are three ways to request beamtime to perform an experiment on APS-7ID. One can request beam time as an APS General User, as an APS Partner User, or one can contact a staff member of Sector 7 to work collaboratively with them using a small amount of staff time to gather preliminary data. 80% of the available beamtime on 7ID is given to General and Partner Users, while 20% is reserved for staff use. Beam time is allocated and announced by email shortly before the start of an experimental run. In October 2002, beamline 7ID welcomed its first APS General Users (GU). To gain access to 7ID, General or Partner Users are required to submit a proposal to the APS GU Website by the specified deadline. Sucessful proposals will be scheduled for the next cycle following the proposal deadline. There are three proposal cycles per year with deadlines about two months before the start of a run. The deadlines and General User forms are available on the web through the APS General User Web site. Specific instructions for new General Users are available on the site. These instructions can be helpful also for new APS Users in general.

332

New Zealand Energy Data: Oil Consumption by Fuel and Sector | OpenEI  

Open Energy Info (EERE)

Oil Consumption by Fuel and Sector Oil Consumption by Fuel and Sector Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to oil and other petroleum products. Included here are two oil consumption datasets: quarterly petrol consumption by sector (agriculture, forestry and fishing; industrial; commercial; residential; transport industry; and international transport), from 1974 to 2010; and oil consumption by fuel type (petrol, diesel, fuel oil, aviation fuels, LPG, and other), also for the years 1974 through 2010. The full 2010 Energy Data File is available: http://www.med.govt.nz/upload/73585/EDF%202010.pdf. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 02nd, 2010 (4 years ago)

333

Tillamook County PUD - Residential Energy Efficiency Rebate Program |  

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

Tillamook County PUD - Residential Energy Efficiency Rebate Program Tillamook County PUD - Residential Energy Efficiency Rebate Program Tillamook County PUD - Residential Energy Efficiency Rebate Program < Back Eligibility Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Program Info Expiration Date Rebate program is a limited time offer based on availability of funds and is subject to change without notice. State Oregon Program Type Utility Rebate Program Rebate Amount Water Heaters (minimum of a ten-year warranty): $25 Clothes Washers: $70 Refrigerators/Freezers: $15 Dishwashers: $25

334

Lakeland Electric - Residential Conservation Rebate Program | Department of  

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

Lakeland Electric - Residential Conservation Rebate Program Lakeland Electric - Residential Conservation Rebate Program Lakeland Electric - Residential Conservation Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Commercial Lighting Lighting Maximum Rebate HVAC Maintenance: one rebate per central unit per household per year Heat Pump (AC Replacement): One rebate per central location Program Info State Florida Program Type Utility Rebate Program Rebate Amount Heat Pump: $400 HVAC Maintenance: $50 Attic Insulation Upgrade: $200 CFLs: 3 free bulbs, when an energy audit is scheduled Energy Saving Kit: Provided after energy audit Refrigerator: $200, with proper recycling of old refrigerator Provider Lakeland Electric Lakeland Electric offers a conservation program for residential customers

335

Wellesley Municipal Light Plant - Residential Energy Efficiency Rebate  

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

Wellesley Municipal Light Plant - Residential Energy Efficiency Wellesley Municipal Light Plant - Residential Energy Efficiency Rebate Program Wellesley Municipal Light Plant - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Maximum Rebate Two equipment rebates per customer per calendar year Program Info State Massachusetts Program Type Utility Rebate Program Rebate Amount Refrigerator: $100 Clothes Washing Machine: $75 Central AC: $100 Room AC Unit: $50 Dishwasher: $75 Dehumidifier: $50 Provider Appliance Rebate Program Wellesley Municipal Light Plant (WMLP) offers a number of appliance rebates to residential customers who purchase and install energy efficient equipment. Rebates are available for refrigerators, dishwashers, clothes

336

Burlington Electric Department - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Burlington Electric Department - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Appliances &...

337

Columbia Rural Electric Association - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Program Columbia Rural Electric Association - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home...

338

Ozarks Electric Cooperative - Residential Energy Efficiency Loan...  

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

Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Ozarks Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility Residential Savings...

339

Kootenai Electric Cooperative - Residential Efficiency Rebate...  

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

Kootenai Electric Cooperative - Residential Efficiency Rebate Program Kootenai Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Home...

340

Southwest Electric Cooperative - Residential Energy Efficiency...  

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

Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

Note: This page contains sample records for the topic "year residential sector" 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

Kirkwood Electric - Residential Energy Efficiency Rebate Program...  

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

Kirkwood Electric - Residential Energy Efficiency Rebate Program Kirkwood Electric - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating &...

342

Central Electric Cooperative - Residential Energy Efficiency...  

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

Residential Energy Efficiency Rebate Programs Central Electric Cooperative - Residential Energy Efficiency Rebate Programs Eligibility Construction Residential Savings For Other...

343

Cherokee Electric Cooperative - Residential Energy Efficiency...  

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

Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Cherokee Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Residential...

344

Marietta Power & Water - Residential Energy Efficiency Rebate...  

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

Marietta Power & Water - Residential Energy Efficiency Rebate Program Marietta Power & Water - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For...

345

SRP - Residential Energy Efficiency Rebate Program | Department...  

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

SRP - Residential Energy Efficiency Rebate Program SRP - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial...

346

Barron Electric Cooperative - Residential Energy Resource Conservation...  

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

Residential Energy Resource Conservation Loan Program Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program Eligibility Residential Savings For Home...

347

Cedar Falls Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program Cedar Falls Utilities - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Heating & Cooling Commercial...

348

TOPIC Brief BUILDING TECHNOLOGIES PROGRAM Lighting: Residential...  

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

Lighting: Residential and Commercial Requirements TOPIC BRIEF 1 Lighting: Residential and Commercial Requirements Residential Lighting Requirements The 2009 International Energy...

349

Minnesota Valley Electric Cooperative -Residential Energy Resource...  

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

Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Eligibility Residential Savings...

350

Lake Region Electric Cooperative - Residential Energy Efficiency...  

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

Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

351

Building Technologies Office: Residential Energy Efficiency Stakeholder  

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

Energy Efficiency Stakeholder Meeting - Spring 2012 Energy Efficiency Stakeholder Meeting - Spring 2012 The U.S. Department of Energy (DOE) Building America program held the second annual Residential Energy Efficiency Stakeholder Meeting on February 29-March 2, 2012, in Austin, Texas. At this meeting, hundreds of building industry professionals came together to share their perspective on the most current innovation projects in the residential buildings sector. This meeting provided an opportunity for researchers and industry stakeholders to showcase and discuss the latest in cutting-edge, energy-efficient residential building technologies and practices. The meeting also included working sessions from each Standing Technical Committee (STC), which outlined work that will best assist in overcoming technical challenges and delivering Building America research results to the market. Learn more about the STCs and the research planning process.

352

PPL Electric Utilities - Residential Energy Efficiency Rebate...  

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

Residential Energy Efficiency Rebate Program PPL Electric Utilities - Residential Energy Efficiency Rebate Program Eligibility Multi-Family Residential Residential Savings For Home...

353

Distillate Fuel Oil Sales for Residential Use  

Annual Energy Outlook 2012 (EIA)

End Use Product: Residential - Distillate Fuel Oil Residential - No. 1 Residential - No. 2 Residential - Kerosene Commercial - Distillate Fuel Oil Commercial - No. 1 Distillate...

354

Atmos Energy (Gas) - Residential Efficiency Program | Department...  

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

Atmos Energy (Gas) - Residential Efficiency Program Atmos Energy (Gas) - Residential Efficiency Program Eligibility Low-Income Residential Residential Savings For Heating & Cooling...

355

Benton PUD - Residential Energy Efficiency Rebate Programs |...  

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

Residential Energy Efficiency Rebate Programs Benton PUD - Residential Energy Efficiency Rebate Programs Eligibility Multi-Family Residential Residential Savings For Appliances &...

356

Residential Ventilation & Energy  

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

5 5 Residential Ventilation & Energy Figure 1: Annual Average Ventilation Costs of the Current U.S. Single-Family Housing Stock ($/year/house). Infiltration and ventilation in dwellings is conventionally believed to account for one-third to one-half of space conditioning energy. Unfortunately, there is not a great deal of measurement data or analysis to substantiate this assumption. As energy conservation improvements to the thermal envelope continue, the fraction of energy consumed by the conditioning of air may increase. Air-tightening programs, while decreasing energy requirements, have the tendency to decrease ventilation and its associated energy penalty at the possible expense of adequate indoor air quality. Therefore, more energy may be spent on conditioning air.

357

Sector 7  

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

Sector 7 : Time Resolved Research Group Sector 7 is operated by the Time Resolved Research Group, which is part of the X-ray Science Division (XSD) of the Advanced Photon Source. Our research focus is the study of Ultrafast fs-laser excitation of matter, using x-ray scattering and spectroscopy techniques. The sector developped two hard x-ray beamlines (7ID and 7BM) focused on time-resolved science. The 7BM beamline has been dedicated for time-resolved radiography of fuel sprays. Sector 7 Links: What's New Beamlines Overview User information: Getting Beamtime Current Research Programs Links to our partners, and collaborators (New) Publications Contact information Operational data (w/ current 7ID schedule) ES&H information (ESAF, EOR, TMS training, User Training)

358

Solar Leasing for Residential Photovoltaic Systems (Revised) (Fact Sheet)  

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

In the past year, the residential solar lease has received In the past year, the residential solar lease has received significant attention in the solar marketplace, primarily for its ability to leverage two key commercial tax credits for the individual homeowner. However, on January 1, 2009, the $2,000 cap on the residential investment tax credit (ITC) was lifted. As a result, the expansion of the solar lease model across the United States may be slower than antici-

359

Review of Residential Ventilation Technologies.  

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

Review of Residential Ventilation Technologies. Review of Residential Ventilation Technologies. Title Review of Residential Ventilation Technologies. Publication Type Journal Article LBNL Report Number LBNL-57730 Year of Publication 2007 Authors Russell, Marion L., Max H. Sherman, and Armin F. Rudd Journal HVAC&R Research Volume 13 Start Page Chapter Pagination 325-348 Abstract This paper reviews current and potential ventilation technologies for residential buildings in North America and a few in Europe. The major technologies reviewed include a variety of mechanical systems, natural ventilation, and passive ventilation. Key parameters that are related to each system include operating costs, installation costs, ventilation rates, heat recovery potential. It also examines related issues such as infiltration, duct systems, filtration options, noise, and construction issues. This report describes a wide variety of systems currently on the market that can be used to meet ASHRAE Standard 62.2. While these systems generally fall into the categories of supply, exhaust or balanced, the specifics of each system are driven by concerns that extend beyond those in the standard and are discussed. Some of these systems go beyond the current standard by providing additional features (such as air distribution or pressurization control). The market will decide the immediate value of such features, but ASHRAE may wish to consider modifications to the standard in the future.

360

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

Note: This page contains sample records for the topic "year residential sector" 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

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

Gasoline and Diesel Fuel Update (EIA)

Residential sector energy demand Residential sector energy demand Residential energy intensity continues to decline across a range of technology assumptions figure data In the AEO2013 Reference case, the energy intensity of residential demand, defined as annual energy use per household, declines from 97.2 million Btu in 2011 to 75.5 million Btu in 2040 (Figure 55). The projected 22-percent decrease in intensity occurs along with a 32-percent increase in the number of homes. Residential energy intensity is affected by various factors-for example, population shifts to warmer and drier climates, improvements in the efficiency of building construction and equipment stock, and the attitudes and behavior of residents toward energy savings. Three alternative cases show the effects of different technology

362

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

Gasoline and Diesel Fuel Update (EIA)

coal Residential coal Residential market trends icon Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating. See more issues Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy consumption. The residential sector accounted for 57 percent of that energy

363

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

Gasoline and Diesel Fuel Update (EIA)

Residential sector energy demand Residential sector energy demand Residential energy intensity continues to decline across a range of technology assumptions figure data In the AEO2013 Reference case, the energy intensity of residential demand, defined as annual energy use per household, declines from 97.2 million Btu in 2011 to 75.5 million Btu in 2040 (Figure 55). The projected 22-percent decrease in intensity occurs along with a 32-percent increase in the number of homes. Residential energy intensity is affected by various factors-for example, population shifts to warmer and drier climates, improvements in the efficiency of building construction and equipment stock, and the attitudes and behavior of residents toward energy savings. Three alternative cases show the effects of different technology

364

Burbank Water and Power - Residential and Commercial Solar Support Program  

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

Burbank Water and Power - Residential and Commercial Solar Support Burbank Water and Power - Residential and Commercial Solar Support Program Burbank Water and Power - Residential and Commercial Solar Support Program < Back Eligibility Commercial Industrial Low-Income Residential Nonprofit Residential Schools State Government Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Maximum Rebate Maximum payment of 400,000 per year for performance-based incentives Program Info Start Date 1/1/2010 Expiration Date 12/31/2016 State California Program Type Utility Rebate Program Rebate Amount PV rebates will be awarded via lottery on August 12, 2013 Residential PV: $1.28/W CEC-AC Commercial PV (less than 30 kW): $0.97/W CEC-AC Commercial PV (30 kW or larger): ineligible at this time Solar Water Heaters (residential domestic hot water only; not pools):

365

City of Cleveland - Residential Property Tax Abatement for Green Buildings  

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

City of Cleveland - Residential Property Tax Abatement for Green City of Cleveland - Residential Property Tax Abatement for Green Buildings City of Cleveland - Residential Property Tax Abatement for Green Buildings < Back Eligibility Construction Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Solar Lighting Windows, Doors, & Skylights Heating Buying & Making Electricity Water Heating Wind Program Info Start Date 01/01/2010 State Ohio Program Type Property Tax Incentive Rebate Amount 100% for 10-15 years Provider City of Cleveland Department of Community Development The City of Cleveland, in cooperation with the Cuyahoga County Auditor's Office, provides a 100% tax abatement for residential properties built to

366

Residential/commercial market for energy technologies  

SciTech Connect

The residential/commercial market sector, particularly as it relates to energy technologies, is described. Buildings account for about 25% of the total energy consumed in the US. Market response to energy technologies is influenced by several considerations. Some considerations discussed are: industry characteristics; market sectors; energy-consumption characeristics; industry forecasts; and market influences. Market acceptance may be slow or nonexistent, the technology may have little impact on energy consumption, and redesign or modification may be necessary to overcome belatedly perceived market barriers. 7 figures, 20 tables.

Glesk, M.M.

1979-08-01T23:59:59.000Z

367

OpenEI - Residential  

Open Energy Info (EERE)

Commercial and Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States http://en.openei.org/datasets/node/961 This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

368

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

369

Essays on residential desegregation  

E-Print Network (OSTI)

Many ethnically diverse countries have policies that encourage integration across ethnic groups. This dissertation investigates the impact and welfare implications of a residential desegregation policy in Singapore, the ...

Wong, Maisy

2008-01-01T23:59:59.000Z

370

Choosing a Residential Window  

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

Choosing a Residential Window LBNLs Windows and Daylighting Group provides technical support to government and industry efforts to help consumers and builders choose...

371

Sector X  

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

X X If there is an emergency at ETTP requiring evacuation, Sector X reports to the shelter at: Oak Ridge High School 127 Providence Road Oak Ridge, TN 37830 Take most direct route to northbound Bethel Valley Road toward Oak Ridge. Turn left onto Illinois Avenue (Highway 62). Turn right onto Oak Ridge Turnpike and turn left to Oak Ridge High School. If there is an emergency at ORNL requiring evacuation, Sector X reports to the shelter at: Karns High School 2710 Byington Solway Road Knoxville, TN 37931 Take most direct route to northbound Bethel Valley Road toward Knoxville. Then take a left at Highway 62 (Oak Ridge Highway) eastbound to Knoxville. Take a right onto State Route 131 (Byington Beaver Ridge) to Karns High School. If there is an emergency at Y-12 requiring evacuation, Sector X reports to the shelter at:

372

Sector 7  

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

Link to Sector 7 Users and Collaborators Link to Sector 7 Users and Collaborators This is an incomplete list of Partners from Universities and National Labs who use the facilities at Sector 7. If you wish to add a link to your institutional page, do no hesitate to contact Eric Dufresne at the APS. The APS XSD Atomic, Molecular and Optical Physics group Center for Molecular Movies at Copenhagen University Roy Clarke Group at the University of Michigan Rob Crowell Group at BNL Chris Elles's group at Kansas University Argonne's Transportation Technology R&D Center Fuel Injection and Spray Research Group Paul Evans's group web page at the University of Wisconsin Alexei Grigoriev's group at Univ. of Tulsa Eric Landahl's web page at DePaul University The SLAC Pulse Institute Ultrafast Materials Science group (D. Reis and A. Lindenberg)

373

AEO2011: Natural Gas Consumption by End-Use Sector and Census Division |  

Open Energy Info (EERE)

Consumption by End-Use Sector and Census Division Consumption by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage

374

AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division  

Open Energy Info (EERE)

Delivered Prices by End-Use Sector and Census Division Delivered Prices by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 137, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Data application/vnd.ms-excel icon AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division- Reference Case (xls, 140.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

375

Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and  

Open Energy Info (EERE)

Nonelectric Use by Energy Use Sector and Nonelectric Use by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description This dataset provides annual renewable energy consumption (in quadrillion Btu) for nonelectric use in the United States by energy use sector and energy source between 2004 and 2008. The data was compiled and published by EIA; the spreadsheet provides more details about specific sources for data used in the analysis. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Nonelectric Renewable Energy Consumption Residential transportation Data application/vnd.ms-excel icon 2008_RE.Consumption.for_.Non-Elec.Gen_EIA.Aug_.2010.xls (xls, 27.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

376

Residential Solar Tax Credit | Department of Energy  

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

Solar Tax Credit Solar Tax Credit Residential Solar Tax Credit < Back Eligibility Multi-Family Residential Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Maximum Rebate 5,000 for solar-energy systems Program Info Start Date 01/01/1998 (solar electric); 01/01/2006 (solar thermal) State New York Program Type Personal Tax Credit Rebate Amount 25% for solar-electric (PV) and solar-thermal systems; for third-party owned systems this is in reference to the aggregate amount owed under the contract rather than the amount owed in any single year Provider New York State Department of Taxation and Finance Enacted in August 1997, this personal income tax credit originally applied to expenditures on solar-electric (PV) equipment used on residential

377

Longmont Power and Communications - Residential and Commercial Appliance  

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

Longmont Power and Communications - Residential and Commercial Longmont Power and Communications - Residential and Commercial Appliance Rebate Program Longmont Power and Communications - Residential and Commercial Appliance Rebate Program < Back Eligibility Commercial Residential Savings Category Appliances & Electronics Maximum Rebate 50 per appliance. Residential: 1 clothes washer and 1 dishwasher per year Commercial: 3 clothes washers and 3 dishwashers per year Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Dishwasher: $50 Clothes Washer: $50 Provider Customer Service Longmont Power and Communications offers an incentive for its residential and commercial customers to install energy efficient washing machines and dishwashers. The rebate [http://www.ci.longmont.co.us/lpc/pdfs/rebate_appl.pdf application] is

378

Sector 7  

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

: News : News Sector 7 calendar of events. APS News APS Monthly meeting slides What's new at the APS Sector 7? 2013 news 2012 news 2011 news 2010 news 2009 news 2008 news 2007 news 2006 news 2005 news 2004 news 2003 news 2002 news 2001 news 2013 News from APS Sector 7 May 2013: Ruben Reininger et al. recently published an article on the optical design of the SPX Imaging and Microscopy beamline (SPXIM). The details can be found on the RSI web site here. A new web page is now available to guide 7-BM users. See the official 7-BM web page for more details. 2012 News from APS Sector 7 August 2012: Jin Wang gave a talk on August 29, 2012 entitled "The APS 7-BM is Open for Business, Officially!" at the August APS Monthly Operation Meeting. On August 1, Alan Kastengren joined the X-ray Science Division to operate the 7-BM beamline. Alan has been involved in the construction

379

Savings from energy efficient windows: Current and future savings from new fenestration technologies in the residential market  

SciTech Connect

Heating and cooling energy lost through windows in the residential sector (estimated at two-thirds of the energy lost through windows in all sectors) currently accounts for 3 percent (or 2.8 quads) of total US energy use, costing over $26 billion annually in energy bills. Installation of energy-efficient windows is acting to reduce the amount of energy lost per unit window area. Installation of more energy efficient windows since 1970 has resulted in an annual savings of approximately 0.6 quads. If all windows utilized existing cost effective energy conserving technologies, then residential window energy losses would amount to less than 0.8 quads, directly saving $18 billion per year in avoided energy costs. The nationwide installation of windows that are now being developed could actually turn this energy loss into a net energy gain. Considering only natural replacement of windows and new construction, appropriate fenestration policies could help realize this potential by reducing annual residential window energy losses to 2.2 quids by the year 2012, despite a growing housing stock.

Frost, K.; Arasteh, D.; Eto, J.

1993-04-01T23:59:59.000Z

380

Residential solar home resale analysis  

DOE Green Energy (OSTI)

One of the determinants of the market acceptance of solar technologies in the residential housing sector is the value placed upon the solar property at the time of resale. The resale factor is shown to be an important economic parameter when net benefits of the solar design are considered over a typical ownership cycle rather than the life cycle of the system. Although a study of solar resale in Davis, Ca, indicates that those particular homes have been appreciating in value faster than nonsolar market comparables, no study has been made that would confirm this conclusion for markets in other geograhical locations with supporting tests of statistical significance. The data to undertake such an analysis is available through numerous local sources; however, case by case data collection is prohibitively expensive. A recommended alternative approach is to make use of real estate market data firms who compile large data bases and provide multi-variate statistical analysis packages.

Noll, S.A.

1980-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Commercial Mkt trends Market Trends The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting. See more issues Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

382

The residential energy map : catalyzing energy efficiency through remote energy assessments and improved data access  

E-Print Network (OSTI)

Although energy efficiency has potential to be a significant energy resource in the United States, many energy efficiency projects continue to go unrealized. This is especially true in the residential sector, where efficiency ...

Howland, Alexis (Alexis Blair)

2013-01-01T23:59:59.000Z

383

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

SciTech Connect

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

Zhou, Nan; Nishida, Masaru; Gao, Weijun

2008-12-01T23:59:59.000Z

384

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

SciTech Connect

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

Zhou, Nan; Nishida, Masaru; Gao, Weijun

2008-12-01T23:59:59.000Z

385

Evaluation of evolving residential electricity tariffs  

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

Evaluation of evolving residential electricity tariffs Evaluation of evolving residential electricity tariffs Title Evaluation of evolving residential electricity tariffs Publication Type Conference Paper Year of Publication 2011 Authors Lai, Judy, Nicholas DeForest, Sila Kiliccote, Michael Stadler, Chris Marnay, and Jonathan Donadee Conference Name ECEEE Summer Study, June 6-11, 2011 Date Published 06/2011 Publisher LBNL Conference Location Belambra Presqu'Ăźle de Giens, France Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. A relatively simple two-tiered pricing system (charges by usage under/over baseline for the home's climate zone) was replaced in the summer of 2001 by a more complicated five-tiered system (usage below baseline and up to 30%, 100%, 200%, and 300%+ over baseline). In 2009, PG&E began the process of upgrading its residential customers to Smart Meters and laying the groundwork for time of use pricing, due to start in 2011. This paper examines the history of the tiered pricing system, discusses the problems the utility encountered with its Smart Meter roll out, and evaluates the proposed dynamic pricing incentive structures. Scenario analyses of example PG&E customer bills will also be presented. What would these residential customers pay if they were still operating under a tiered structure, and/or if they participated in peak hour reductions?

386

AEO2011: Energy Consumption by Sector and Source - East South Central |  

Open Energy Info (EERE)

South Central South Central Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 6, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Commercial East South Central EIA Electric Power Energy Consumption Industrial Residential transportation Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - East South Central- Reference Case (xls, 297.5 KiB) Quality Metrics Level of Review Peer Reviewed

387

Development of a Residential Integrated Ventilation Controller  

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

Development of a Residential Integrated Ventilation Controller Development of a Residential Integrated Ventilation Controller Title Development of a Residential Integrated Ventilation Controller Publication Type Report LBNL Report Number LBNL-5554E Year of Publication 2012 Authors Walker, Iain S., Max H. Sherman, and Darryl J. Dickerhoff Keywords ashrae standard 62,2, california title 24, residential ventilation, ventilation controller Abstract The goal of this study was to develop a Residential Integrated Ventilation Controller (RIVEC) to reduce the energy impact of required mechanical ventilation by 20%, maintain or improve indoor air quality and provide demand response benefits. This represents potential energy savings of about 140 GWh of electricity and 83 million therms of natural gas as well as proportional peak savings in California. The RIVEC controller is intended to meet the 2008 Title 24 requirements for residential ventilation as well as taking into account the issues of outdoor conditions, other ventilation devices (including economizers), peak demand concerns and occupant preferences. The controller is designed to manage all the residential ventilation systems that are currently available. A key innovation in this controller is the ability to implement the concept of efficacy and intermittent ventilation which allows time shifting of ventilation. Using this approach ventilation can be shifted away from times of high cost or high outdoor pollution towards times when it is cheaper and more effective. Simulations, based on the ones used to develop the new residential ventilation requirements for the California Buildings Energy code, were used to further define the specific criteria and strategies needed for the controller. These simulations provide estimates of the energy, peak power and contaminant improvement possible for different California climates for the various ventilation systems. Results from a field test of the prototype controller corroborate the predicted performance.

388

NorthWestern Energy - Residential Energy Efficiency Rebate Program |  

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

NorthWestern Energy - Residential Energy Efficiency Rebate Program NorthWestern Energy - Residential Energy Efficiency Rebate Program NorthWestern Energy - Residential Energy Efficiency Rebate Program < Back Eligibility Construction Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Appliances & Electronics Ventilation Manufacturing Commercial Lighting Lighting Insulation Water Heating Maximum Rebate Lighting: Maximum of fifteen CFLs and five lighting fixtures per calendar year Programmable Thermostat: Two units per household Program Info Funding Source Montana natural gas and electric supply rates Start Date 1/1/2009 Expiration Date 12/31/2013 State Montana Program Type Utility Rebate Program

389

Northern Municipal Power Agency - Residential Energy Efficiency Rebate  

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

Northern Municipal Power Agency - Residential Energy Efficiency Northern Municipal Power Agency - Residential Energy Efficiency Rebate Program (Minnesota) Northern Municipal Power Agency - Residential Energy Efficiency Rebate Program (Minnesota) < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heating Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate $10,000 per customer per year Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Home Energy Assessment: discounted price Compact Fluorescent Lights: $2/light bulb LED Screw-In: $7/bulb LED Recessed Downlights: $15 - $25/install Clothes Washers: $50 Water Heaters: $150 Programmable Thermostat: $25 Supplemental Heating Source for Air-Source Heat Pump: $500

390

Gunnison County Electric - Residential Energy Efficiency Rebate Program |  

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

Gunnison County Electric - Residential Energy Efficiency Rebate Gunnison County Electric - Residential Energy Efficiency Rebate Program Gunnison County Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Dishwashers: $45/unit Clothes Washers: $60/unit Refrigerators: $60/unit Freezers: $60/unit Refrigerator Recycling: $40/unit Freezer Recycling: $40/unit Electric Water Heaters (30-gal capacity, 6-year warranty, mandated EF rating): $70/unit Super Efficient Water Heater: $120/unit (primary heating must be from geothermal heat pump) Water Heaters (lifetime warranty): Additional $25/unit

391

PNM - Residential Energy Efficiency Rebate Program | Department of Energy  

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

PNM - Residential Energy Efficiency Rebate Program PNM - Residential Energy Efficiency Rebate Program PNM - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Refrigerator/Freezer Recycling: 2 units per household Program Info State New Mexico Program Type Utility Rebate Program Rebate Amount +Refrigerator/Freezer Recycling: $50/unit Compact Fluorescent Light Bulbs (CFLs): point-of-purchase discounts AC Cycling: $25 sign-up and $25/year Provider Customer Service PNM offers incentives for residential customers to improve the efficiency of eligible homes. PNM will provide a $50 rebate for the proper recycling of old refrigerators or freezers. Customers who agree to cycle the operation of residential air conditioning systems are also eligible for a

392

Residential Energy Disclosure (Hawaii)  

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

A residential property owner is required to disclose electricity costs for the most recent three-month period in which the property was occupied as a condition of selling it. No proof or copies of...

393

Residential Gateways and Controllers  

Science Conference Proceedings (OSTI)

Energy companies are exploring two-way residential communications to help reduce the cost of providing standard energy-related services, such as itemized billing or demand reduction, as well as to provide nontraditional services, such as diagnostic services and e-mail. This report covers the key to development of these services -- residential gateways and controllers. The report was prepared with both technical and financial energy company managers in mind, for use as a reference tool and strategic plann...

1999-08-31T23:59:59.000Z

394

YEAR  

National Nuclear Security Administration (NNSA)

1 1 YEAR 2011 Males 18 Females 23 YEAR 2011 SES 2 EJ/EK 2 NQ (Prof/Tech/Admin) 35 NU (Tech/Admin Support) 2 YEAR 2011 American Indian Male 1 American Indian Female 2 African American Male 3 African American Female 9 Asian Male 0 Asian Female 0 Hispanic Male 2 Hispanic Female 6 White Male 12 White Female 6 DIVERSITY Workforce Diversity Associate Administrator for Information Management & Chief Information Officer, NA-IM As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 18 43.9% 23 56.1% Gender Males Females 4.9% 4.9% 85.4% 4.9% Pay Plan SES EJ/EK NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 2.4% 4.9% 7.3% 22.0% 0.0% 0.0% 4.9% 14.6% 29.3% 14.6% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male

395

YEAR  

National Nuclear Security Administration (NNSA)

4 4 YEAR 2011 Males 21 Females 23 YEAR 2011 SES 3 EJ/EK 1 EN 03 1 NN (Engineering) 3 NQ (Prof/Tech/Admin) 31 NU (Tech/Admin Support) 5 YEAR 2011 American Indian Male 0 American Indian Female 0 African American Male 1 African American Female 2 Asian Male 1 Asian Female 1 Hispanic Male 6 Hispanic Female 10 White Male 13 White Female 10 DIVERSITY Workforce Diversity Office of General Counsel, NA-GC As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 21 47.7% 23 52.3% Gender Males Females 6.8% 2.3% 2.3% 6.8% 70.5% 11.4% Pay Plan SES EJ/EK EN 03 NN (Engineering) NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 0.0% 0.0% 2.3% 4.5% 2.3% 2.3% 13.6% 22.7% 29.5% 22.7% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male

396

YEAR  

National Nuclear Security Administration (NNSA)

6 6 YEAR 2011 Males 7 Females 9 YEAR 2011 SES 1 NQ (Prof/Tech/Admin) 9 GS 15 2 GS 13 2 GS 12 1 GS 11 1 YEAR 2011 American Indian Male 0 American Indian Female 0 African American Male 1 African American Female 3 Asian Male 1 Asian Female 0 Hispanic Male 1 Hispanic Female 0 White Male 4 White Female 6 DIVERSITY Workforce Diversity Associate Administrator of External Affairs, NA-EA As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 7 43.8% 9 56.3% Gender Males Females 6.3% 56.3% 12.5% 12.5% 6.3% 6.3% Pay Plan SES NQ (Prof/Tech/Admin) GS 15 GS 13 GS 12 GS 11 0.0% 0.0% 6.3% 18.8% 6.3% 0.0% 6.3% 0.0% 25.0% 37.5% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male Hispanic Female White Male White Female FY11 Workforce Diversity

397

YEAR  

National Nuclear Security Administration (NNSA)

40 40 YEAR 2011 Males 68 Females 72 YEAR 2011 SES 5 EJ/EK 1 NN (Engineering) 16 NQ (Prof/Tech/Admin) 115 NU (Tech/Admin Support) 3 YEAR 2011 American Indian Male 1 American Indian Female 2 African American Male 3 African American Female 7 Asian Male 4 Asian Female 0 Hispanic Male 25 Hispanic Female 26 White Male 35 White Female 37 DIVERSITY Workforce Diversity Associate Administrator for Acquistion & Project Management, NA-APM As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 68 48.6% 72 51.4% Gender Males Females 3.6% 0.7% 11.4% 82.1% 2.1% Pay Plan SES EJ/EK NN (Engineering) NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 0.7% 1.4% 2.1% 5.0% 2.9% 0.0% 17.9% 18.6% 25.0% 26.4% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male

398

Lighting in Residential and Commercial Buildings (1993 and 1995 Data) --  

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

Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Commercial Buildings Home > Special Topics and Data Reports > Types of Lights Picture of a light bulb At Home and At Work: What Types of Lights Are We Using? Two national EIA surveys report that . . . Of residential households, 98 percent use incandescent, 42 percent use fluorescent. Of commercial buildings, 59 percent use incandescent, 92 percent use fluorescent. At a glance, we might conclude that substantial energy savings could occur in both the residential and commercial sectors if they replaced their incandescent lights with fluorescent lights, given that fluorescent lights consume approximately 75-85 percent less electricity than incandescent lights. In the residential sector, this is true. However, in the commercial sector, where approximately 92 percent of the buildings already use fluorescent lights, increasing energy savings will require upgrading existing lights and lighting systems. To maximize energy savings, analysis must also consider the hours the lights are used and the amount of floorspace lit by that lighting type. Figures 1 and 2 show the types of lights used by the percent of households and by the percent of floorspace lit for the residential and the commercial sectors, respectively.

399

Sector 7  

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

Research Programs Research Programs Sector 7's research program exploits the brilliance of the APS undulator radiation to perform material research studies with high spatial and temporal resolution. Microbeam studies are made using x-ray beam sizes on the submicron-scale, and time-resolved diffraction measurements are carried out with picosecond resolution. Sector 7's undulator line has experimental enclosures dedicated to both time-resolved and microbeam research. In one of these enclosures (7ID-D), a femtosecond laser facility is set up for ultrafast diffraction and spectroscopy studies in a pump-probe geometry. The 7ID-B hutch is a white beam capable station used for time-resolved phase-contrast imaging and beamline optics development. A third enclosure (7ID-C) is instrumented for high-resolution diffraction studies with a Huber 6-circle diffractometer. The instrument is ideal for thin-film and interface studies, including the recently developed Coherent Bragg Rod Analysis (COBRA) technique. The fs-laser has recently been delivered to 7ID-C so time-resolved laser pump-x-ray probe can be performed in 7ID-C since March 2007. An x-ray streak camera is also being commissioned in 7ID-C. 7ID-C is equipped for microdiffraction studies with a small Huber 4-cicle diffractometer used with zone-plate optics.

400

Building Technologies Office: Residential Building Activities  

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

Building Activities Building Activities The Department of Energy (DOE) is leading several different activities to develop, demonstrate, and deploy cost-effective solutions to reduce energy consumption across the residential building sector by at least 50%. The U.S. DOE Solar Decathlon is a biennial contest which challenges college teams to design and build energy efficient houses powered by the sun. Each team competes in 10 contests designed to gauge the performance, livability and affordability of their house. The Building America program develops market-ready energy solutions that improve the efficiency of new and existing homes while increasing comfort, safety, and durability. Guidelines for Home Energy Professionals foster the growth of a high quality residential energy upgrade industry and a skilled and credentialed workforce.

Note: This page contains sample records for the topic "year residential sector" 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

Reading Municipal Light Department - Residential ENERGY STAR...  

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

Residential ENERGY STAR Appliance Rebate Program Reading Municipal Light Department - Residential ENERGY STAR Appliance Rebate Program Eligibility Residential Savings For Heating &...

402

Chicopee Electric Light - Residential Solar Rebate Program |...  

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

Chicopee Electric Light - Residential Solar Rebate Program Chicopee Electric Light - Residential Solar Rebate Program Eligibility Residential Savings For Solar Buying & Making...

403

Lane Electric Cooperative - Residential Energy Efficiency Loan...  

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

Energy Efficiency Loan Programs Lane Electric Cooperative - Residential Energy Efficiency Loan Programs Eligibility Multi-Family Residential Residential Savings For Home...

404

Membership Criteria: Better Buildings Residential network  

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

Criteria BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn Better Buildings Residential Network (BBRN) members must be supportive of residential...

405

Residential Mobility and Latino Political Mobilization  

E-Print Network (OSTI)

Brians, Craig Leonard. 1997. “Residential Mobility, VoterHighton, Benjamin. 2000. "Residential Mobility, Community2003. “ Language Choice, Residential Stability and Voting

Ramirez, Ricardo

2005-01-01T23:59:59.000Z

406

RESIDENTIAL THERMOSTATS: COMFORT CONTROLS IN CALIFORNIA HOMES  

E-Print Network (OSTI)

Report on Applicability of Residential Ventilation StandardsCharacterization of Residential New Construction PracticesJ - Load Calculation for Residential Winter and Summer Air

Meier, Alan K.

2008-01-01T23:59:59.000Z

407

Evaluation of evolving residential electricity tariffs  

E-Print Network (OSTI)

Evaluation of evolving residential electricity tariffs JudyEvaluation of evolving residential electricity tariffs Judyjdonadee@andrew.cmu.edu Abstract Residential customers in

Lai, Judy

2011-01-01T23:59:59.000Z

408

Landholders, Residential Land Conversion, and Market Signals  

E-Print Network (OSTI)

465– Margulis: Landholders, Residential Land Conversion, and1983. An Analysis of Residential Developer Location FactorsHow Regulation Affects New Residential Development. New

Margulis, Harry L.

2006-01-01T23:59:59.000Z

409

Infiltration in ASHRAE's Residential Ventilation Standards  

E-Print Network (OSTI)

Related  to  Residential  Ventilation  Requirements”.  Rudd,  A.   2005.   “Review  of  Residential  Ventilation and  Matson  N.E. ,  “Residential  Ventilation  and  Energy 

Sherman, Max

2008-01-01T23:59:59.000Z

410

Property:Incentive/ImplSector | Open Energy Information  

Open Energy Info (EERE)

ImplSector ImplSector Jump to: navigation, search Property Name Incentive/ImplSector Property Type String Description Implementing Sector. Pages using the property "Incentive/ImplSector" Showing 25 pages using this property. (previous 25) (next 25) 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) + Federal + 3 30% Business Tax Credit for Solar (Vermont) + State/Territory + 4 401 Certification (Vermont) + State/Province + A AEP (Central and North) - CitySmart Program (Texas) + Utility + AEP (Central and North) - Residential Energy Efficiency Programs (Texas) + Utility + AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) + Utility + AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) + Utility + AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) + Utility +

411

Years  

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

and Technology in and Technology in the National Interest 60 Years of Excellence Lawrence Livermore National Laboratory FY 2012 Annual Report About the Cover: Lawrence Livermore National Laboratory (LLNL) engineers Chris Spadaccini (left) and Eric Duoss are shown experimenting with direct ink-writing to create micro- to macroscale structures with extreme precision. The Laboratory is advancing this process and other additive manufacturing technologies to develop new materials with extraordinary properties for use in a wide range of national-security and other applications. About the Laboratory: Lawrence Livermore National Laboratory was founded in 1952 to enhance the security of the United States by advancing nuclear weapons science and technology. With a talented and dedicated workforce and

412

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

SciTech Connect

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

413

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

SciTech Connect

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

414

Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption  

Buildings Energy Data Book (EERE)

1 1 Total Use of Water by Buildings (Million Gallons per Day) (1) Year 1985 1990 1995 2000 (2) 2005 (3) Note(s): Source(s): 1) Includes water from the public supply and self-supplied sources (e.g., wells) for residential and commercial sectors. 2) USGS did not estimate water use in the commercial and residential sectors for 2000. Estimates are based on available data and 1995 splits between domestic and commercial use. 3) USGS did not estimate commercial sector use for 2005. Estimated based on available data and commercial percentage in 1995. U.S. Geological Survey, Estimated Use of Water in the U.S. in 1985, U.S. Geological Survey Circular 1004, 1988; U.S. Geological Survey, Estimated Use of Water in the U.S. in 1990, U.S. Geological Survey Circular 1081, 1993; U.S. Geological Survey, Estimated Use of Water in the U.S. in 1995, U.S. Geological

415

Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program |  

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

Sand Mountain Electric Cooperative - Residential Heat Pump Loan Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Alabama Program Type Utility Loan Program Rebate Amount 7% interest rate 5 or 10 year pay schedule maximum of $12,000 Provider Sand Mountain Electric Cooperative The Sand Mountain Electric Cooperative offers a heat pump loan program to eligible residential members. To qualify, members must have had power with Sand Mountain Electric Cooperative for at least one year, have the home electric bill and deeds in the same name, and pass a credit check. Heat pumps must be installed by a [http://www.smec.coop/heatpumpcontractors.htm

416

Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program |  

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

Aiken Electric Cooperative Inc - Residential Water Heater Rebate Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State South Carolina Program Type Utility Rebate Program Rebate Amount Free high efficiency water Heater; $200 installation fee Water heater and timer with normal installation: $2.50 credit for 10 years Timer only: $200 cash payment and $2.50 credit for 10 years New construction contract home: $250 Provider Aiken Electric Cooperative Aiken Electric Cooperative offers residential members rebates for installing high-efficiency electric water heaters and/or timers in their homes. Customers have four rebate options:

417

Cedar Falls Utilities - Residential New Construction Program | Department  

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

Cedar Falls Utilities - Residential New Construction Program Cedar Falls Utilities - Residential New Construction Program Cedar Falls Utilities - Residential New Construction Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State Iowa Program Type Utility Rebate Program Rebate Amount 25% electric rate discount for 4 years (if home is heated with natural gas) 25% electric rate discount for 2 years (if home is heated with electricity) Provider Cedar Falls Utilities Cedar Falls Utilities offers incentives to residential customers who construct new energy efficient homes. A rate discount of 25% is available to customers who meet the 5 Star Home Program criteria for new home

418

Energy Efficiency Services Sector: Workforce Education and Training Needs  

SciTech Connect

This report provides a baseline assessment of the current state of energy efficiency-related education and training programs and analyzes training and education needs to support expected growth in the energy efficiency services workforce. In the last year, there has been a significant increase in funding for 'green job' training and workforce development (including energy efficiency), through the American Recovery and Reinvestment Act (ARRA). Key segments of the energy efficiency services sector (EESS) have experienced significant growth during the past several years, and this growth is projected to continue and accelerate over the next decade. In a companion study (Goldman et al. 2009), our research team estimated that the EESS will increase two- to four-fold by 2020, to 220,000 person-years of employment (PYE) (low-growth scenario) or up to 380,000 PYE (high-growth scenario), which may represent as many as 1.3 million individuals. In assessing energy efficiency workforce education and training needs, we focus on energy-efficiency services-related jobs that are required to improve the efficiency of residential and nonresidential buildings. Figure ES-1 shows the market value chain for the EESS, sub-sectors included in this study, as well as the types of market players and specific occupations. Our assessment does not include the manufacturing, wholesale, and retail distribution subsectors, or energy efficiency-focused operations and maintenance performed by facility managers.

Goldman, Charles A.; Peters, Jane S.; Albers, Nathaniel; Stuart, Elizabeth; Fuller, Merrian C.

2010-03-19T23:59:59.000Z

419

Large-Scale Residential Energy Efficiency Programs Based on CFLs | Open  

Open Energy Info (EERE)

Large-Scale Residential Energy Efficiency Programs Based on CFLs Large-Scale Residential Energy Efficiency Programs Based on CFLs Jump to: navigation, search Tool Summary Name: Large-Scale Residential Energy Efficiency Programs Based on CFLs Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Energy Efficiency, Buildings Topics: Implementation, Policies/deployment programs Website: www.esmap.org/filez/pubs/216201021421_CFL_Toolkit_Web_Version_021610_R References: Large-Scale Residential Energy Efficiency Programs Based on CFLs[1] Overview "The World Bank Group and its Energy Sector Management Assitance Progamme (ESMAP) have produced a toolkit for efficient lighting programmes, based on compact fluorescent lamps, that compiles and shares operational (design,

420

Jasper County REMC - Residential Residential Energy Efficiency Rebate  

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

Jasper County REMC - Residential Residential Energy Efficiency Jasper County REMC - Residential Residential Energy Efficiency Rebate Program Jasper County REMC - Residential Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $35 Heat Pump Water Heater: $400 Air-Source Heat Pumps: $250 - $1,500/unit (Power Moves rebate), $200 (REMC Bill Credit) Dual Fuel Heat Pumps: $1,500/unit Geothermal Heat Pumps: $1,500/unit (Power Moves rebate), $500 (REMC Bill Credit) Provider Jasper County REMC Jasper County REMC, in conjunction with Wabash Valley Power Association's Power Moves programs, offers a range of rebates to its residential

Note: This page contains sample records for the topic "year residential sector" 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

Residential Alternative Energy Tax Deduction | Department of Energy  

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

Residential Alternative Energy Tax Deduction Residential Alternative Energy Tax Deduction Residential Alternative Energy Tax Deduction < Back Eligibility Residential Savings Category Bioenergy Heating & Cooling Commercial Heating & Cooling Solar Heating Buying & Making Electricity Water Heating Wind Maximum Rebate 5,000 per year; 20,000 total deduction Program Info State Idaho Program Type Personal Deduction Rebate Amount 40% in the first year; 20% per year for next three years Provider Idaho Tax Commission This statute allows taxpayers an income tax deduction of 40% of the cost of a solar, wind, geothermal, and certain biomass energy devices used for heating or electricity generation. Taxpayers can apply this 40% deduction in the year in which the system is installed and can also deduct 20% of the

422

Shaking Up the Residential PV Market: Implications of Recent Changes to the ITC  

SciTech Connect

On August 8, 2005, the Energy Policy Act of 2005 (EPAct 2005) increased the Section 48 investment tax credit (ITC) for commercial photovoltaic (PV) systems from 10% to 30% of the project's 'tax credit basis' (i.e., the dollar amount to which the ITC applies), and also created in Section 25D of the Internal Revenue Code a new 30% ITC (capped at $2,000) for residential solar systems. Both changes went into effect on January 1, 2006, for an initial period of two years, and in late 2006 both credits were extended 'as is' for an additional year (through 2008). In early 2006, Berkeley Lab published an LBNL/CESA case study that examined the financial impact of EPAct 2005's solar tax credits on PV system owners, in light of the $2,000 cap on the residential credit, as well as the fact that most PV systems in the U.S. also receive cash incentives from state-, local-, or utility-administered PV programs, and that these cash incentives may reduce the value of federal tax credits in certain situations. That case study was subsequently revised in February 2007 to reflect new Internal Revenue Service (IRS) guidance. The findings of that case study, which are briefly recapped in the next section, remained relevant up until October 2008, when the Energy Improvement and Extension Act of 2008 extended both solar credits for an unprecedented eight years, removed the $2,000 cap on the residential credit, and eliminated restrictions on the use of both credits in conjunction with the Alternative Minimum Tax (AMT). These significant changes, which apply to systems placed in service on or after January 1, 2009, will increase the value of the solar credits for residential system owners in particular, and are likely to spur significant growth in residential, commercial, and utility-scale PV installations in the years ahead. In light of these substantial changes to the solar ITC, this report takes a fresh look at the value of these revised credits, focusing specifically on the Section 25D residential credit. After first setting the stage by briefly reviewing our previous findings, the document proceeds to cover four specific areas in which the removal of the $2,000 cap on the residential ITC will have significant implications for PV program administrators, PV system owners, and the PV industry that go beyond the obvious market growth potential created by these more-lucrative federal incentives. These four areas include: (1) The financial implications of whether or not residential cash rebates are considered to be taxable income; (2) The role of low-interest loan programs and other forms of 'subsidized energy financing' under an uncapped ITC; (3) The degree to which taxable and nontaxable rebate levels might be reduced in response to the extra value provided by an uncapped ITC; and (4) The impact of an uncapped ITC on third-party financing and ownership models that are just beginning to emerge in the residential sector. The document concludes by highlighting a common thread that runs throughout: the need for PV program managers to understand whether or not their rebates are considered to be taxable income before they can react in an appropriate manner to the recent changes in federal solar policy and, if financing programs are offered, the need to understand whether the IRS considers these programs to be 'subsidized'. Finally, we note that this paper is based on current law; future legislative changes to the ITC could, of course, alter the conclusions reached here.

Bolinger, Mark; Barbose, Galen; Wiser, Ryan

2008-11-12T23:59:59.000Z

423

Residential Building Code Compliance  

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

6 6 Residential Building Code Compliance: Recent Findings and Implications Energy use in residential buildings in the U.S. is significant-about 20% of primary energy use. While several approaches reduce energy use such as appliance standards and utility programs, enforcing state building energy codes is one of the most promising. However, one of the challenges is to understand the rate of compliance within the building community. Utility companies typically use these codes as the baseline for providing incentives to builders participating in utility-sponsored residential new construction (RNC) programs. However, because builders may construct homes that fail to meet energy codes, energy use in the actual baseline is higher than would be expected if all buildings complied with the code. Also,

424

Progress in Residential Retrofit  

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

The Cutting Edge: Progress in Residential Retrofit The Cutting Edge: Progress in Residential Retrofit A geographic representation of saturations of ceiling fans based on data from the RASSes. White areas indicate a lack of data for that region. Many utilities survey their customers to learn more about the buildings and the occupants in their service areas. These surveys-usually called "residential appliance saturation surveys," or RASSes-ask for the number and types of appliances present, the number of people living in the home, and sometimes personal information. The RASSes are also used to collect information about the presence of conservation measures such as wall and ceiling insulation, weatherstripping, multipane windows, and water flow restrictors. Building Energy Analysis Group researchers Alan Meier and Brian Pon gathered RASSes

425

Building Technologies Residential Survey  

SciTech Connect

Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

Secrest, Thomas J.

2005-11-07T23:59:59.000Z

426

Residential Thermostats: Comfort Controls in California Homes  

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

Residential Thermostats: Comfort Controls in California Homes Residential Thermostats: Comfort Controls in California Homes Title Residential Thermostats: Comfort Controls in California Homes Publication Type Report LBNL Report Number LBNL-938e Year of Publication 2008 Authors Walker, Iain S., and Alan K. Meier Keywords demand response and distributed energy resources center, demand response research center, home networks & controls Abstract This report summarizes results of a literature review, a workshop, and many meetings with demand response and thermostat researchers and implementers. The information obtained from these resources was used to identify key issues of thermostat performance from both energy savings and peak demand perspectives. A research plan was developed to address these issues and activities have already begun to pursue the research agenda.

427

Financing Residential Retrofits | Department of Energy  

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

Financing Residential Retrofits Financing Residential Retrofits Financing Residential Retrofits June 25, 2010 - 3:32pm Addthis Rancho Cucamonga, east of Los Angeles, received a $1.6 million Energy Efficiency and Conservation Block grant from the U.S. Department of Energy last year, using money authorized by the American Recovery and Reinvestment Act. Among the city's many uses of the Recovery Act funds are two different programs intended to encourage more energy efficient homes. One, the Home Improvement Loan Program, targets low-income residents who'd like to make major repairs or improvements in their homes. The other is the Energy Efficiency Reimbursement Program, open to any city resident who purchases and installs an energy efficient appliance. "I think we wanted to have the biggest impact we could and assist the

428

Financing Residential Retrofits | Department of Energy  

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

Financing Residential Retrofits Financing Residential Retrofits Financing Residential Retrofits June 25, 2010 - 3:32pm Addthis Rancho Cucamonga, east of Los Angeles, received a $1.6 million Energy Efficiency and Conservation Block grant from the U.S. Department of Energy last year, using money authorized by the American Recovery and Reinvestment Act. Among the city's many uses of the Recovery Act funds are two different programs intended to encourage more energy efficient homes. One, the Home Improvement Loan Program, targets low-income residents who'd like to make major repairs or improvements in their homes. The other is the Energy Efficiency Reimbursement Program, open to any city resident who purchases and installs an energy efficient appliance. "I think we wanted to have the biggest impact we could and assist the

429

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

8 8 Presence of Air-Conditioning and Type of Heating System in New Single-Family Homes Type of Primary Heating System Warm-Air Hot Water Other or | Furnace Heat Pump or Steam (1) None (2) | 1980 57% 24% 4% 15% | 62% 1981 56% 25% 3% 16% | 65% 1982 53% 26% 4% 17% | 66% 1983 56% 29% 4% 12% | 69% 1984 55% 30% 4% 11% | 71% 1985 54% 30% 5% 11% | 70% 1986 54% 29% 7% 10% | 69% 1987 57% 27% 7% 9% | 71% 1988 60% 26% 7% 8% | 75% 1989 63% 24% 6% 7% | 77% 1990 64% 23% 6% 6% | 76% 1991 65% 22% 6% 7% | 75% 1992 66% 24% 6% 5% | 77% 1993 67% 24% 5% 5% | 78% 1994 67% 24% 5% 4% | 79% 1995 66% 25% 5% 4% | 79% 1996 70% 23% 5% 2% | 81% 1997 70% 23% 5% 2% | 82% 1998 72% 21% 4% 3% | 83% 1999 72% 22% 4% 2% | 84% 2000 71% 23% 4% 2% | 85% 2001 71% 23% 4% 1% | 86% 2002 71% 23% 4% 2% | 87% 2003 71% 24% 3% 2% | 88% 2004 70% 26% 3% 1% | 90% 2005 67% 29% 3% 1% | 89% 2006 63% 33% 3% 2% | 89% 2007 62% 34% 2% 2% | 90% 2008 60% 34% 3% 3% | 89% 2009 56% 37% 3% 4% | 88% 2010 56% 38% 2% 3% | 88% Note(s) Source(s):

430

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

customer groups. While the cost per kWh for each respectivewith the average cost declines, per kWh for average andcost of doing so would be zero (prior to 2011), or small, on the order of 5 cents per kWh (

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

431

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

of window) Heating Cooling Conduction Solar Total Conductionsolarload = heating or cooling load from solar gain throughsolar usability to account for its deacreasing effectiveness to offset heating

Wenzel, T.P.

2010-01-01T23:59:59.000Z

432

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Energy Rating System (HERS) may provide such actionable market information.market is administered by the Western Region Renewable Energy Generation Information

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

433

ENERGY DATA SOURCEBOOK FOR THE U.S. RESIDENTIAL SECTOR  

E-Print Network (OSTI)

of the Market Technologies Assessment Group in the Energy Analysis Program at LBNL for their time spent. Koomey, Gregory J. Rosenquist, Marla Sanchez, and James W. Hanford September 1997 Energy Analysis Program these input data into a single location. The data provided include information on end-use unit energy

434

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

of stocks, UECs, and national energy consumption for theseSanchez 1997). National energy consumption of these end-usesUECs, and National Energy Consumption of Miscellaneous

Wenzel, T.P.

2010-01-01T23:59:59.000Z

435

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

classes of new appliances; and a large database of stockrecords for those appliances in the database. UECs for otheron the UEC database. For new appliances entering the market,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

436

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

project with both efficiency and solar may be the optimal solution for some customers—and the one that costs

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

437

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

was largely overcome, and PV prices globally had begun toNemet 2006; Nemet 2007). PV price reduction is one of theand indeed the global price of PV modules is a central part

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

438

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Renewable portfolio standards and cost-effective energy-for low-cost financing for renewable energy and energycost of renewable onsite generation systems and energy

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

439

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

of offering NEM for biogas-electric systems and fuel cells.but AB 2228 (2002) allowed biogas-electric facilities up to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

440

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book (EERE)

| 3,680 1,047 1,425 111.1 2,838 941 1,062 Note(s): Source(s): Total U.S. Homes (millions) U.S. Average 1) Average home sizes include both heated and unheated floor space, including...

Note: This page contains sample records for the topic "year residential sector" 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

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

typical new buildings is even more difficult than for existing buildings since there are few data on the energy usage

Wenzel, T.P.

2010-01-01T23:59:59.000Z

442

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Appliances and Space Conditioning Equipment. Arthur D.Efficiency standards for space conditioning equipment wereprogram estimates of space conditioning energy use and

Wenzel, T.P.

2010-01-01T23:59:59.000Z

443

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

Energy and Buildings Herring, H. and R. Roy (2007). "quality of energy service” (Herring and Roy 2007: 195). TheEkins et al. 2007: 4935-36; Herring and Roy 2007: 196). As

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

444

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

respond to having a rooftop solar system. There is a robustindustry, since a small rooftop solar system can producecompliance. 27 . Each kW of rooftop solar capacity produces

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

445

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Data, Washington, DC: Energy Information Administration.Model Documentation, Washington, DC: Energy InformationData, Washington, DC: Energy Information Administration.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

446

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

impact of rate design and net metering on the bill savingsJ. , K. Fox, et al. (2009). Net Metering & Interconnectionsmetering (NEM, or “net metering”), to which we turn next. By

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

447

Table 2.1b Residential Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

R=Revised. P=Preliminary. NA=Not available. 4 Based on petroleum product supplied. For petroleum, product supplied is used as an approximation of

448

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

an Energy-Efficient Economy. Hanford, J.W. and Y . J. Huang.Laboratory. LBL-33101. Hanford, J.W. , J.G. Koomey, L.E.97. Ritschard, R. L. , J.W. Hanford, and A.O. Sezgen. 1992a.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

449

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

USE DATA 10.1. Baseline Lighting Usage 10.2. Distribution of1996), which monitored lighting usage using light loggersreplacements. Baseline Lighting Usage We divide the current

Wenzel, T.P.

2010-01-01T23:59:59.000Z

450

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

and usage patterns, and because data sources covering these parameters are more scarce, modeling of household lighting

McNeil, Michael A.

2010-01-01T23:59:59.000Z

451

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

referents (MPRs) for non-renewable energy that serve asPolicies to promote non-hydro renewable energy in the United

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

452

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

Henderson (2005). Home air conditioning in Europe – how muchA. Pavlova (2003). "Air conditioning market saturation andevidence suggests that air conditioning could be quite an

McNeil, Michael A.

2010-01-01T23:59:59.000Z

453

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

IL: AHAM. The Air Conditioning, Heating and RefrigerationArlington, VA: ARI. ARI, Air-Conditioning and RefrigerationRefrigeration, and Air-conditioning Engineers (ASHRAE).

Wenzel, T.P.

2010-01-01T23:59:59.000Z

454

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Energy kWh/cycle Total Energy Annual Usage kWh/yr Motor +Energy kWh/cycle Total Energy Annual Usage kWb/yr Motortotal incandescent lighting energy consumption attributable to each usage

Wenzel, T.P.

2010-01-01T23:59:59.000Z

455

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

10 1.5. The Coordination of Solar and Energyintegration of solar and energy efficiency. Currentlytension between solar and energy efficiency remains much

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

456

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

capture such savings: the solar provider has unique pricingscale solar industry. Solar providers will need both to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

457

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Heating Equipment, Mobile Home Furnaces, Kitchen Ranges and Ovens,oven only range only GDR all gas dryers Gas Dryer cycle data only Gas HeatingHeating Waterbed Heaters Automatic Drip Coffeemaker Crankcase Heater Iron Spa/Hot Tub Electric Blankets Toaster Hair Dryer Toaster Oven

Wenzel, T.P.

2010-01-01T23:59:59.000Z

458

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

U.S. energy-related carbon-dioxide emissions, including both direct fuel consumption (primarily natural gas)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

459

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

in RECS with utility sub-metering data have found that RECSof sources, including sub-metering of individual appliances,sources including sub-metering of individual appliances,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

460

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

South Gas LPG Oil Electricity Source: US DOE 1995 forLPG -- FRN RM - Oil - OTH Other Source: US DOE 1995b. OilLPG H20 FRN - Oil« RM OTH Other Source: US DOE 1995b. Oil

Wenzel, T.P.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "year residential sector" 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

Greening the Residential Sector: Efforts to Transform the Homebuilding...  

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

with EETD scientists on cooperative research? Get a job in EETD? Make my home more energy-efficient? Find a source within EETD for a news story I'm writing, shooting, or...

462

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

fit gives R- squared of 0.983. Standby losses (usage at zerowater in the tank); and standby losses (the constant lossesof hot water delivered + Standby losses) Total energy used

Wenzel, T.P.

2010-01-01T23:59:59.000Z

463

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

kerosene. Other heating fuel is primarily wood. H20 = steamkerosene. Other heating fuel is primarily wood. H20 = steamkerosene. Other heating fuel is primarily wood. FRN =

Wenzel, T.P.

2010-01-01T23:59:59.000Z

464

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

West National Space Heating 1,050 721 371 352 575 Air-Conditioning 199 175 456 262 311 Water Heating 373 294 313 318 320 Refrigerators 194 145 146 154 157 Other Appliances and...

465

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

renewable energy; and calculating market price referents (Market price referent Net excess generation Net energy

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

466

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

non-low- income electricity bill, according to specificsto offset any future electricity bills. All systems withinunderstand their electricity bills, even if early adopters

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

467

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

Market Shares 6.5. Standards 7. DISHWASHER END-USE DATA 7.1.Dishwasher UECs 7.2.Dishwasher Usage 7.3. Dishwasher Technology Data 7.4. Market

Wenzel, T.P.

2010-01-01T23:59:59.000Z

468

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

appliance hot water usage and electric heating UECs. The hotElectricity Usage, prepared for Virginia Electric Power Co.hot water usage of the dishwasher, calculated using electric

Wenzel, T.P.

2010-01-01T23:59:59.000Z

469

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

terms of age, building size, and insulation levels, we alsoshowed that insulation levels for pre-1980 buildings werebuildings, based on combinations of roof and wall insulation

Wenzel, T.P.

2010-01-01T23:59:59.000Z

470

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network (OSTI)

energy consumption (UECs) of appliances and equipment; Historical and current appliance and equipment market shares; Appliance and equipment efficiency and sales trends;energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends;

Wenzel, T.P.

2010-01-01T23:59:59.000Z

471

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

actual solar radiation and other necessary weather dataSolar 71 Table 5.2. 10x10km Weathersolar energy is actually generated; this makes intuitive sense as edge effects such as shading and weather

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

472

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

59. City of San Diego and California Center for SustainablePOLICIES AND FUNDING FOR THE CALIFORNIA SOLAR INITIATIVE.San Francisco, California Public Utilities Commission: 44.

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

473

Figure 7. U.S. dry natural gas consumption by sector, 2005-2040 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 7. U.S. dry natural gas consumption by sector, 2005-2040 (trllion cubic feet) Residential Commercial Transportation Gas to liquids

474

Sector 7  

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

Overview and History Overview and History Sector 7 consists of two APS beamlines: 7-ID: an insertion device beamline based on an APS Type-A Undulator 7-BM: a bend magnet beam line for time-resolved radiography (currently being commissioned) Overview of 7-ID 7-ID comprises four large experimental enclosures designated A, B, C, and D. In 2004, a laser enclosure was also added (7ID-E). Enclosure 7-ID-A is the first optics enclosure and houses a polished Be window, an empty x-ray filter unit, a pair of white beam slits, a water-cooled double crystal diamond monochromator (Kohzu HLD4), and a P4 mode shutter. The beamline vertical offset is 35 mm. Enclosure 7-ID-B is a white-, or monochromatic-beam experimental enclosure. It is equipped with two precision motorized table for alignment and positioning of experimental equipment. This station is used for white-beam imaging or microdiffraction experiments.

475

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

476

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

477

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

478

Measuring Residential Ventilation  

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

Measuring Residential Ventilation Measuring Residential Ventilation System Airflows: Part 2 - Field Evaluation of Airflow Meter Devices and System Flow Verification J. Chris Stratton, Iain S. Walker, Craig P. Wray Environmental Energy Technologies Division October 2012 LBNL-5982E 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any

479

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

480

Firelands Electric Cooperative - Residential Energy Efficiency...  

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

Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility...

Note: This page contains sample records for the topic "year residential sector" 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

South Alabama Electric Cooperative - Residential Energy Efficiency...  

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

South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program Eligibility...

482

Central Alabama Electric Cooperative - Residential Energy Efficiency...  

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

Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

483

Cookeville Electric Department - Residential Energy Efficiency...  

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

Cookeville Electric Department - Residential Energy Efficiency Rebate Program Cookeville Electric Department - Residential Energy Efficiency Rebate Program Eligibility Commercial...

484

Lane Electric Cooperative - Residential and Commercial Weatherization...  

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

and Commercial Weatherization Grant Program Lane Electric Cooperative - Residential and Commercial Weatherization Grant Program Eligibility Commercial Low-Income Residential...

485

Lane Electric Cooperative - Residential Efficiency Rebate Program...  

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

Efficiency Rebate Program Lane Electric Cooperative - Residential Efficiency Rebate Program Eligibility Residential Savings For Appliances & Electronics Home Weatherization...

486

Austin Energy - Residential Energy Efficiency Rebate Program...  

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

Rebate Program Austin Energy - Residential Energy Efficiency Rebate Program Eligibility Residential Savings For Home Weatherization Commercial Weatherization Heating & Cooling...

487

Meeting Residential Ventilation Standards Through Dynamic Control...  

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

Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation Systems Title Meeting Residential Ventilation Standards Through Dynamic Control of Ventilation...

488

Maximizing Information from Residential Measurements of Volatile...  

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

Maximizing Information from Residential Measurements of Volatile Organic Compounds Title Maximizing Information from Residential Measurements of Volatile Organic Compounds...

489

American Municipal Power (Public Electric Utilities) - Residential...  

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

American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) American Municipal Power (Public Electric Utilities) - Residential Efficiency...

490

Southern Pine Electric Power Association - Residential Energy...  

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

Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program <...

491

Energy Smart - Residential Energy Efficiency Rebate Program ...  

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

Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) Energy Smart - Residential Energy Efficiency Rebate Program (20 Municipalities) < Back Eligibility...

492

Ozark Border Electric Cooperative - Residential Energy Efficiency...  

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

Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

493

Central New Mexico Electric Cooperative - Residential Energy...  

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

New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Central New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility...

494

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

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

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Title Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings Publication Type Report LBNL Report Number LBNL-5193E Year of Publication 2011 Authors Garbesi, Karina, Vagelis Vossos, Alan H. Sanstad, and Gabriel Burch Document Number LBNL-5193E Pagination 59 Date Published October Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the 'direct-DC house' with respect to today's typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly influenced by climate. While direct-DC for residential applications will most likely arise as a spin-off of developments in the commercial sector-because of lower barriers to market entry and larger energy benefits resulting from the higher coincidence between load and insolation-this paper demonstrates that there are substantial benefits in the residential sector as well. Among residential applications, space cooling derives the largest energy savings from being delivered by a direct-DC system. It is the largest load for the average residence on a national basis and is particularly so in high-load regions. It is also the load with highest solar coincidence.

495

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

DOE Green Energy (OSTI)

An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the ‘direct-DC house’ with respect to today’s typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly influenced by climate. While direct-DC for residential applications will most likely arise as a spin-off of developments in the commercial sector—because of lower barriers to market entry and larger energy benefits resulting from the higher coincidence between load and insolation—this paper demonstrates that there are substantial benefits in the residential sector as well. Among residential applications, space cooling derives the largest energy savings from being delivered by a direct-DC system. It is the largest load for the average residence on a national basis and is particularly so in high-load regions. It is also the load with highest solar coincidence.

Garbesi, Karina; Vossos, Vagelis; Sanstad, Alan; Burch, Gabriel

2011-10-13T23:59:59.000Z

496

AEO2011: Energy Consumption by Sector and Source - South Atlantic | OpenEI  

Open Energy Info (EERE)

South Atlantic South Atlantic Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 5, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption sector South Atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - South Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

497

AEO2011: Energy Consumption by Sector and Source - Middle Atlantic | OpenEI  

Open Energy Info (EERE)

Middle Atlantic Middle Atlantic Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 2, and contains only the reference case. The dataset uses quadrillion btu. The energy consumption data is broken down by sector (residential, commercial, industrial, transportation, electric power) as well as source, and also provides total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA middle atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Middle Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment

498

Alliant Energy Interstate Power and Light - Residential Renewable Energy  

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

Alliant Energy Interstate Power and Light - Residential Renewable Alliant Energy Interstate Power and Light - Residential Renewable Energy Rebates Alliant Energy Interstate Power and Light - Residential Renewable Energy Rebates < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Wind Maximum Rebate Solar Thermal Water Heater: $750 Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Energy Efficient Solar PV: $1.25/kWh x estimated first year output Standard Solar PV: $0.75/kWh x estimated first year output Energy Efficient Wind: $0.75/kWh x estimated first year output Standard Wind: 0.25/kWh x estimated first year output Solar Thermal Water Heater (electric): $0.35 x annual kWh savings Solar Thermal Water Heater (natural gas): $2.50 x annual therm savings

499

The residential demand for electricity in New England,  

E-Print Network (OSTI)

The residential demand for electricity, studied on the national level for many years, is here investigated on the regional level. A survey of the literature is first presented outlining past econometric work in the field ...

Levy, Paul F.

1973-01-01T23:59:59.000Z

500

U.S. Natural Gas Residential Consumption (Million Cubic Feet)  

U.S. Energy Information Administration (EIA)

U.S. Natural Gas Residential Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1973: 843,900: 747,331: 648,504: 465,867: 326,313 ...