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


1

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

E-Print Network (OSTI)

Residential Energy Consumption Survey, Human and Socialof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

2

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

E-Print Network (OSTI)

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

Zhou, Nan

2010-01-01T23:59:59.000Z

3

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

E-Print Network (OSTI)

2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Study: Window % of Consumption 1. Categorize component loads

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

4

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

E-Print Network (OSTI)

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

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

5

U.S. Residential Buildings Weather-Adjusted Primary Consumption  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8c Glossary U.S. Residential Buildings ...

6

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

7

Building and occupant characteristics as determinants of residential energy consumption  

Science Conference Proceedings (OSTI)

The major goals of the research are to gain insight into the probable effects of building energy performance standards on energy consumption; to obtain observations of actual residential energy consumption that could affirm or disaffirm comsumption estimates of the DOE 2.0A simulation model; and to investigate home owner's conservation investments and home purchase decisions. The first chapter covers the investigation of determinants of household energy consumption. The presentation begins with the underlying economic theory and its implications, and continues with a description of the data collection procedures, the formulation of variables, and then of data analysis and findings. In the second chapter the assumptions and limitations of the energy use projections generated by the DOE 2.0A model are discussed. Actual electricity data for the houses are then compared with results of the simulation.

Nieves, L.A.; Nieves, A.L.

1981-10-01T23:59:59.000Z

8

Investigation and Analysis of Summer Energy Consumption of Energy Efficient Residential Buildings in Xi'an  

E-Print Network (OSTI)

Tests and questionnaire surveys on the summer energy consumption structure of 100 energy efficient residential buildings have been performed in a certain residential district in Xi'an, China. The relationship between the formation of the energy consumption structure and building conditions, living customs, family income, and thermal environment, as well as local climatic conditions, etc., is analyzed. Measures to optimize the energy utilization consumption are proposed, and further improvements to the energy efficiency of current residential buildings is also discussed.

Ma, B.; Yan, Z.; Gui, Z.; He, J.

2006-01-01T23:59:59.000Z

9

Building and occupant characteristics as determinants of residential energy consumption  

Science Conference Proceedings (OSTI)

The major goals of the research are to gain insight into the probable effects of building energy performance standards on energy consumption; to obtain observations of actual residential energy consumption that could affirm or disaffirm comsumption estimates of the DOE 2.0A simulation model; and to investigate home owner's conservation investments and home purchase decisions. The first chapter covers the investigation of determinants of household energy consumption. The presentation begins with the underlying economic theory and its implications, and continues with a description of the data collection procedures, the formulation of variables, and then of data analysis and findings. In the second chapter the assumptions and limitations of the energy use projections generated by the DOE 2.0A model are discussed. Actual electricity data for the houses are then compared with results of the simulation. The third chapter contains information regarding households' willingness to make energy conserving investments and their ranking of various conservation features. In the final chapter conclusions and recommendations are presented with an emphasis on the policy implications of this study. (MCW)

Nieves, L.A.; Nieves, A.L.

1981-10-01T23:59:59.000Z

10

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

11

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

12

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.

13

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

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

Window-Related Energy Consumption in the US Window-Related Energy Consumption in the US Residential and Commercial Building Stock Joshua Apte and Dariush Arasteh, Lawrence Berkeley National Laboratory LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate

14

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

15

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

E-Print Network (OSTI)

In winter, much of the building energy is used for heating in the north region of China. In this study, the heating energy consumption of a residential building in Tianjin during a heating period was simulated by using the EnergyPlus energy simulation program. The study showed that the heat loss from exterior walls, exterior windows and infiltration took three main parts of the total heat loss. Furthermore, the results of on-site measurement are presented with the conclusion that the EnergyPlus program provides sufficient accuracy for this energy simulation application.

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

2006-01-01T23:59:59.000Z

16

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...

17

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

18

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

19

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

20

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

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


21

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

22

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

23

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

3 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

24

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

25

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

26

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

3 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

27

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

90 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

28

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

29

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

30

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

31

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

32

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

33

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

0 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

34

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

3 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

35

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

36

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

37

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

38

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

39

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

0 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

40

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

2 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

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


41

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...

42

Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings  

E-Print Network (OSTI)

Buildings have a close relationship with climate. There are a lot of important factors that influence building energy consumption such as building shape coefficient, insulation work of building envelope, covered area, and the area ratio of window to wall. The integrated influence result will be different when the building is in different climate zone. This paper studies the variation rule of some aggregative indicators and building energy efficiency rates by simulation and analysis of the same building in different climate zones by eQuest, in order to determine how building energy efficiency works in different climate zones.

Lian, Y.; Hao, Y.

2006-01-01T23:59:59.000Z

43

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

E-Print Network (OSTI)

of Commercial Building Energy Consumption in China, 2008,Residential Energy Consumption Survey, Human and Socialfor Residential Energy Consumption in China Nan Zhou,

Zhou, Nan

2010-01-01T23:59:59.000Z

44

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

E-Print Network (OSTI)

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

Zhou, Nan

2010-01-01T23:59:59.000Z

45

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

46

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

47

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

48

Vapnik's learning theory applied to energy consumption forecasts in residential buildings  

Science Conference Proceedings (OSTI)

For the purpose of energy conservation, we present in this paper an introduction to the use of support vector (SV) learning machines used as a data mining tool applied to buildings energy consumption data from a measurement campaign. Experiments using ... Keywords: data mining, energy conservation, energy efficiency, predictive modelling, statistical learning theory

Florence Lai; Frederic Magoules; Fred Lherminier

2008-10-01T23:59:59.000Z

49

Building Technologies Office: Residential Building Activities  

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

Residential Building Residential Building Activities to someone by E-mail Share Building Technologies Office: Residential Building Activities on Facebook Tweet about Building Technologies Office: Residential Building Activities on Twitter Bookmark Building Technologies Office: Residential Building Activities on Google Bookmark Building Technologies Office: Residential Building Activities on Delicious Rank Building Technologies Office: Residential Building Activities on Digg Find More places to share Building Technologies Office: Residential Building Activities on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

50

Better Buildings Neighborhood Program: Better Buildings Residential...  

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

Better Buildings Residential Network to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network on Facebook Tweet about Better Buildings...

51

Building Technologies Office: About Residential Building Programs  

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

About Residential About Residential Building Programs to someone by E-mail Share Building Technologies Office: About Residential Building Programs on Facebook Tweet about Building Technologies Office: About Residential Building Programs on Twitter Bookmark Building Technologies Office: About Residential Building Programs on Google Bookmark Building Technologies Office: About Residential Building Programs on Delicious Rank Building Technologies Office: About Residential Building Programs on Digg Find More places to share Building Technologies Office: About Residential Building Programs 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.

52

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

E/EIA-0262/2 E/EIA-0262/2 Residential Energy Consumption Survey: 1978-1980 Consumption and Expenditures Part II: Regional Data May 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division -T8-aa * N uojssaooy 'SOS^-m (£03) ao£ 5925 'uofSfAfQ s^onpojj aa^ndmoo - aojAaag T BU T3gN am rcoj? aig^IT^^ '(adBx Q-naugBH) TOO/T8-JQ/30Q 30^703 OQ ' d jo :moaj ajqBfT^A^ 3J^ sjaodaa aAoqe aqa jo 's-TZTOO-eoo-Tgo 'ON ^ois odo 'g^zo-via/aoQ 'TBST Sujpjjng rXaAang uojidmnsuoo XSaaug sSu-ppjprig ON ^oo^s OdO '^/ZOZO-Via/aOQ *086T aunr '6L6I ?sn§ny og aunf ' jo suja^Bd uoj^dmnsuoo :XaAjng uo^^dmnsuoQ XSaaug OS '9$ '6-ieTOO- 00-T90 OdD 'S/ZOZO-Via/aOa C

53

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

54

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

E-Print Network (OSTI)

commercial). National Energy Consumption Estimates We usedsection entitled National Energy Consumption Estimates).section entitled National Energy Consumption Estimates).

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

55

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997  

U.S. Energy Information Administration (EIA)

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997. OVERVIEW: MOST POPULOUS STATES ... Homes with air-conditioning: 95%... with a central air-conditioning system: 83%

56

2001 Residential Energy Consumption Survey  

U.S. Energy Information Administration (EIA)

Residential Energy Consumption Survey ... Office of Management and Budget, Washington, DC 20503. Form EIA-457A (2001) Form Approval: OMB No. 1905-0092 ...

57

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.

58

Better Buildings Neighborhood Program: Better Buildings Residential  

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

Better Better Buildings Residential Network-Current Members to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Delicious Rank Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Digg Find More places to share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on AddThis.com...

59

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.

60

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

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


61

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

62

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

E-Print Network (OSTI)

to Estimate Window % of Space Conditioning Use Original LBNLfactors to estimate space conditioning energy consumptionof Energy, in 2003 space conditioning in residential and

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

63

Analysis of Energy Consumption and Research on Energy-Saving Technology of Rural Residential Buildings in Southern Shaanxi  

Science Conference Proceedings (OSTI)

The article was to grasp trends of energy consumption of village in southern Shaanxi province. Selecting Huangjiagou village of Mian county in Hanzhong city as the investigation base Respectively, in January 2009 and July2010, investigation was conducted ... Keywords: rural region, investigation, residential dwellings, energy consumption, energy conservation

Yang Liu; Xia Fang; Meng Dan; An Yungang

2011-02-01T23:59:59.000Z

64

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

E-Print Network (OSTI)

solar gains with highly insulating windows, which leads to windows with positive heating energy flows offsetting buildingBuilding Heating Loads (Trillion BTU/yr) Year Made Number of Buildings (Thousands, 1993) U Factor SHGC Window Window SolarSolar Window Cond Window Infiltration Non-Window Infiltration Other Loads Total Loads Total Loads Window Properties Total Building Heating

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

65

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.

66

Today in Energy - Residential Consumption & Efficiency  

Reports and Publications (EIA)

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

67

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,

68

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

69

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

E-Print Network (OSTI)

DOE Office of Energy Efficiency and Renewable Energy (2005).Office of Energy Efficiency and Renewable Energy. : http://for Energy Efficiency and Renewable Energy, Building

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

70

Window-Related Energy Consumption in the US Residential andCommercial Building Stock  

SciTech Connect

We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.

Apte, Joshua; Arasteh, Dariush

2006-06-16T23:59:59.000Z

71

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Energy Efficiency Meeting to someone by E-mail Share Building Technologies Office: Residential Buildings Energy Efficiency Meeting on Facebook Tweet about Building Technologies...

72

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Buildings Energy Efficiency Meeting The U.S. Department of Energy (DOE) Building America program held the Residential Buildings Energy Efficiency Meeting in Denver, Colorado, on...

73

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

74

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%

75

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

Buildings, by Fuel and Region (Thousand BtuSF) Region Electricity Natural Gas Fuel Oil Total Northeast 27.7 45.9 39.9 71.5 Midwest 22.5 49.9 N.A. 70.3 South 53.5 27.9 N.A....

76

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

77

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

78

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

79

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

80

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 Primary Energy Consumption Total Per Household 1980 79.6 N.A. 123.5 15.72 197.4 1981 82.8 N.A. 114.2 15.23 184.0 1982 83.7 N.A. 114.6 15.48 184.9 1983 84.6 N.A. 110.6 15.38 181.9 1984 86.3 N.A. 113.9 15.90 184.2 1985 87.9 N.A. 111.7 16.02 182.3 1986 89.1 N.A. 108.4 15.94 178.8 1987 90.5 N.A. 108.2 16.21 179.1 1988 92.0 N.A. 112.7 17.12 186.0 1989 93.5 N.A. 113.7 17.76 190.0 1990 94.2 N.A. 102.7 16.92 179.5 1991 95.3 N.A. 104.6 17.38 182.4 1992 96.4 N.A. 104.7 17.31 179.6 1993 97.7 N.A. 107.5 18.19 186.1 1994 98.7 N.A. 105.2 18.08 183.2 1995 100.0 N.A. 104.6 18.49 185.0 1996 101.0 N.A. 110.2 19.48 192.9 1997 102.2 N.A. 104.4 18.94 185.3 1998 103.5 N.A. 98.9 18.93 182.8 1999 104.9 N.A. 101.5 19.53 186.1 2000 105.7 N.A. 105.6 20.37 192.7 2001 107.0 1.7% 102.1 20.01 187.0 2002 105.0 3.3% 106.6 20.75 197.7 2003 105.6 5.2% 109.2 21.07 199.6 2004 106.6 7.1% 106.6 21.06 197.6 2005 108.8 9.0% 105.7 21.59

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


81

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

82

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

83

Residential Energy Consumption Survey (RECS) - Energy ...  

U.S. Energy Information Administration (EIA)

State Energy Data System ... An Assessment of EIA's Building Consumption Data. ... Commercial Buildings - CBECS. Manufacturing - MECS.

84

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...

85

Indoor Environment and Energy Consumption of Urban Residential...  

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

Indoor Environment and Energy Consumption of Urban Residential Buildings in China Speaker(s): Hiroshi Yoshino Date: September 18, 2009 - 12:00pm Location: 90-3122 In China, the...

86

Office Buildings - Energy Consumption  

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

Energy Consumption Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity, and natural gas consumed by office buildings was consumed by administrative or professional office buildings (Figure 2). Table 4. Energy Consumed by Office Buildings for Major Fuels, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Total Floorspace (million sq. ft.) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings 4,859 71,658 6,523 3,559 2,100 228 636 All Non-Mall Buildings 4,645 64,783 5,820 3,037 1,928 222 634 All Office Buildings 824 12,208 1,134 719 269 18 128 Type of Office Building

87

Better Buildings Partners: Better Buildings Residential Network  

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

Network The Better Buildings Residential Network connects energy efficiency programs and partners to share best practices and learn from one another to dramatically increase the...

88

The 1997 Residential Energy Consumption Survey -- Two Decades  

U.S. Energy Information Administration (EIA)

1997 Residential Energy Consumption Survey presents two decades of changes in energy consumption related Household Characteristics

89

Residential Energy Consumption Survey (RECS) - Energy Information ...  

U.S. Energy Information Administration (EIA)

Heating and cooling no longer majority of U.S. home energy use. Source: U.S. Energy Information Administration, Residential Energy Consumption Survey.

90

Residential Energy Consumption Survey (RECS) 2009 Technical ...  

U.S. Energy Information Administration (EIA)

Residential Energy Consumption Survey (RECS) Using the 2009 microdata file to compute estimates and standard errors (RSEs) February 2013 Independent Statistics & Analysis

91

Building Technologies Office: Partner With DOE and Residential Buildings  

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

Partner With DOE and Partner With DOE and Residential Buildings to someone by E-mail Share Building Technologies Office: Partner With DOE and Residential Buildings on Facebook Tweet about Building Technologies Office: Partner With DOE and Residential Buildings on Twitter Bookmark Building Technologies Office: Partner With DOE and Residential Buildings on Google Bookmark Building Technologies Office: Partner With DOE and Residential Buildings on Delicious Rank Building Technologies Office: Partner With DOE and Residential Buildings on Digg Find More places to share Building Technologies Office: Partner With DOE and Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links

92

Residential Energy Consumption Survey (RECS) - Energy ...  

U.S. Energy Information Administration (EIA)

A B C D E F G H I J K L M N O P Q R S T U V W XYZ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary ...

93

NREL: Buildings Research - Residential Buildings Research Staff  

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

Residential Buildings Research Staff Residential Buildings Research Staff Members of the Residential Buildings research staff have backgrounds in architectural, civil, electrical, environmental, and mechanical engineering, as well as environmental design and physics. Ren Anderson Dennis Barley Chuck Booten Jay Burch Sean Casey Craig Christensen Dane Christensen Lieko Earle Cheryn Engebrecht Mike Gestwick Mike Heaney Scott Horowitz Kate Hudon Xin Jin Noel Merket Tim Merrigan David Roberts Joseph Robertson Stacey Rothgeb Bethany Sparn Paulo Cesar Tabares-Velasco Jeff Tomerlin Jon Winkler Jason Woods Support Staff Marcia Fratello Kristy Usnick Photo of Ren Anderson Ren Anderson, Ph.D., Manager, Residential Research Group ren.anderson@nrel.gov Research Focus: Evaluating the whole building benefits of emerging building energy

94

Texas Natural Gas Residential Consumption (Million Cubic Feet...  

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

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Residential Consumption (Million Cubic Feet) Texas Natural Gas Residential Consumption (Million Cubic Feet)...

95

Residential Energy Consumption for Water Heating (2005) Provides...  

Open Energy Info (EERE)

Residential Energy Consumption for Water Heating (2005) Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in...

96

South Dakota Natural Gas Residential Consumption (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

View History: Monthly Annual Download Data (XLS File) South Dakota Natural Gas Residential Consumption (Million Cubic Feet) South Dakota Natural Gas Residential Consumption...

97

Building Technologies Office: Residential Buildings  

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

building sector by at least 50%. Photo of people walking around a new home. Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology...

98

Building energy calculator : a design tool for energy analysis of residential buildings in Developing countries  

E-Print Network (OSTI)

Buildings are one of the world's largest consumers of energy, yet measures to reduce energy consumption are often ignored during the building design process. In developing countries, enormous numbers of new residential ...

Smith, Jonathan Y. (Jonathan York), 1979-

2004-01-01T23:59:59.000Z

99

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 ...

100

Residential Energy Consumption Survey (RECS) - Energy Information...  

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

Heating and cooling no longer majority of U.S. home energy use Pie chart of energy consumption in homes by end uses Source: U.S. Energy Information Administration, Residential...

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


101

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

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

,,"(202) 586-8800",,,"10312013 3:27:06 PM" "Back to Contents","Data 1: New Mexico Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NM2" "Date","New Mexico...

102

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

Survey Results: Total Energy Consumption, Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energy consumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

103

Residential Code Development | Building Energy Codes Program  

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

Residential Code Development Subscribe to updates To receive news and updates about code development activities subscribe to the BECP Mailing List. The model residential building...

104

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

105

Retrofit of Existing Residential Building: a Case Study  

E-Print Network (OSTI)

There are about 42 billion square meters of existing buildings in China. The energy efficiency of existing buildings directly relates to the energy consumption of the building sector. The retrofit of existing residential building began in the 1990s in Heilongjiang. The Sino-Canada demonstration project and Sino-France demonstration project of retrofitting existing residential buildings were carried out in 1997 and 2004, respectively. The retrofit method and energy conservation potential of the envelope and heating system of northern existing buildings are analyzed in this paper, combining the experiences of retrofitting existing residential buildings in Heilongjiang. The software was compiled to aid the design of the envelope retrofit in Heilongjiang and to analyze the working situation in existing residential building heating systems. The imbalance of the indoor temperature and the quantity of heating loss from opening the window in different retrofit projects are presented. The emphasis on energy efficiency retrofit of the envelope of existing residential buildings should be placed on the wall in northern region. It is possible to reduce about 50 percent of energy consumption of buildings by insulating the wall. The external insulation is suitable for retrofitting existing buildings, and the moisture transfer should be considered at the same time. To insure actual reduction in energy consumption, the heating system should be retrofitted when the envelope is insulated.

Zhao, L.; Xu, W.; Li, L.; Gao, G.

2006-01-01T23:59:59.000Z

106

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

Webinars Building America Residential Research Better Buildings Alliance Solid-State Lighting Events DOE Challenge Home Zero Net-Energy-Ready Home Training September 23, 2013 EEBA...

107

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

to someone by E-mail Share Building Technologies Office: Residential Energy Efficiency Stakeholder's Meeting - Spring 2011 on Facebook Tweet about Building Technologies Office:...

108

Building Technologies Office: Residential Energy Efficiency Technical...  

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

to someone by E-mail Share Building Technologies Office: Residential Energy Efficiency Technical Update Meeting - Summer 2011 on Facebook Tweet about Building Technologies Office:...

109

Building Technologies Office: Residential Dishwashers, Dehumidifiers, and  

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

Residential Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting to someone by E-mail Share Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Facebook Tweet about Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Twitter Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Google Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR

110

Better Buildings Neighborhood Program: Residential Energy Efficiency  

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

Residential Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 to someone by E-mail Share Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Facebook Tweet about Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Twitter Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Google Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Delicious

111

Investigation of Peak Load Reduction Strategies in Residential Buildings in Cooling Dominated Climates.  

E-Print Network (OSTI)

??This investigation of peak load reduction strategies in residential buildings contributes to the global international efforts in reducing energy consumption and is related directly to (more)

Atallah, Fady

2013-01-01T23:59:59.000Z

112

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 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 › Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS Transportation About the RECS EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage

113

PIA - Form EIA-475 A/G Residential Energy Consumption Survey...  

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

Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA...

114

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 › 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

115

Guam - Solar-Ready Residential Building Requirement | Department...  

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

Solar-Ready Residential Building Requirement Guam - Solar-Ready Residential Building Requirement < Back Eligibility Construction Residential Savings Category Heating & Cooling...

116

Modeling Energy Consumption of Residential Furnaces and Boilers...  

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

Energy Consumption of Residential Furnaces and Boilers in U.S. homes Title Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. homes Publication Type Report...

117

Residential Energy Consumption Survey: Quality Profile  

SciTech Connect

The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

NONE

1996-03-01T23:59:59.000Z

118

U.S. Residential Housing Weather Adjusted Site Energy Consumption ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency > Residential Housing Energy Intensities > Table 1b Glossary U.S. Residential Housing Weather Adjusted ...

119

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

120

Kartlggning av energianvndning under byggfasen vid nyproduktion av flerbostadshus; Investigation of the energy consumption during production of apartment buildings.  

E-Print Network (OSTI)

?? The energy consumption in the sectors of residential and public buildings is 40 % of the total energy consumption in Sweden. The main part, (more)

Hatami, Valid

2007-01-01T23:59:59.000Z

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


121

Green Residential Building Program | Department of Energy  

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

on a wait list, and will be notified if additional funding becomes available.''''' The Green Residential Building Program, administered by the New York State Energy Research and...

122

Building Technologies Office: Residential Energy Efficiency Stakeholde...  

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

Stakeholder's Meeting - Spring 2011 The U.S. Department of Energy (DOE) Building America program held the Residential Energy Efficiency Stakeholder's Meeting in Atlanta, Georgia,...

123

Building Technologies Office: Residential Energy Efficiency Technical...  

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

Technical Update Meeting - Summer 2011 The U.S. Department of Energy (DOE) Building America program held the Residential Energy Efficiency Technical Update Meeting in Denver,...

124

U.S. Residential Housing Primary Energy Consumption  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency > Residential Housing Energy Intensities > Table 1c Glossary U.S. Resident ...

125

Simulating the impact of building occupant peer networks on inter-building energy consumption  

Science Conference Proceedings (OSTI)

We developed an integrated inter-building physical and human network model to predict the energy conservation for an assumed urban residential block. We utilized an Artificial Neural Network to predict hourly energy consumption in both the first physical ...

Xiaoqi Xu; Anna Laura Pisello; John E. Taylor

2011-12-01T23:59:59.000Z

126

Air Barriers for Residential and Commercial Buildings  

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

Air Barriers for Residential and Air Barriers for Residential and Commercial Buildings Diana Hun, PhD Oak Ridge National Laboratory dehun@ornl.gov 865-574-5139 April 4, 2013 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Problem Statement & Project Focus - Air leakage is a significant contributor to HVAC loads - ~50% in residential buildings (Sherman and Matson 1997) - ~33% of heating loads in office buildings (Emmerich et al. 2005) - Airtightness of buildings listed in BTO prioritization tool

127

Air Barriers for Residential and Commercial Buildings  

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

Air Barriers for Residential and Air Barriers for Residential and Commercial Buildings Diana Hun, PhD Oak Ridge National Laboratory dehun@ornl.gov 865-574-5139 April 4, 2013 BTO Program Peer Review 2 | Building Technologies Office eere.energy.gov Problem Statement & Project Focus - Air leakage is a significant contributor to HVAC loads - ~50% in residential buildings (Sherman and Matson 1997) - ~33% of heating loads in office buildings (Emmerich et al. 2005) - Airtightness of buildings listed in BTO prioritization tool

128

Residential Energy Consumption Survey (RECS) - Energy Information  

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

Consumption Survey (RECS) - U.S. Energy Information Consumption Survey (RECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

129

Discussion on Energy-Efficient Technology for the Reconstruction of Residential Buildings in Cold Areas  

E-Print Network (OSTI)

: Based on the existing residential buildings in cold areas, this paper takes the existing residential buildings in a certain district in Beijing to provide an analysis of the thermal characteristics of envelope and energy consumption in winter with the software PKPM, and provides the technical and economic analysis, which may provide reference for suitable plans for energy efficient reconstruction of buildings in cold areas.

Zhao, J.; Wang, S.; Chen, H.; Shi, Y.; Li, D.

2006-01-01T23:59:59.000Z

130

Residential and commercial buildings data book. Second edition  

SciTech Connect

This Data Book updates and expands the previous Data Book originally published by the Department of Energy in October, 1984 (DOE/RL/01830/16). Energy-related information is provided under the following headings: Characteristics of Residential Buildings in the US; Characteristics of New Single Family Construction in the US; Characteristics of New Multi-Family Construction in the US; Household Appliances; Residential Sector Energy Consumption, Prices, and Expenditures; Characteristics of US Commercial Buildings; Commercial Buildings Energy Consumption, Prices, and Expenditures; Additional Buildings and Community Systems Information. This Data Book complements another Department of Energy document entitled ''Overview of Building Energy Use and Report of Analysis-1985'' October, 1985 (DOE/CE-0140). The Data Book provides supporting data and documentation to the report.

Crumb, L.W.; Bohn, A.A.

1986-09-01T23:59:59.000Z

131

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

132

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

Gasoline and Diesel Fuel Update (EIA)

How does EIA estimate energy consumption and end uses in U.S. homes? How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses â€" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

133

Manufacturing Energy Consumption Survey (MECS) - Residential - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

About the MECS About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, based on preliminary estimates released from the 2010 Manufacturing Energy Consumption Survey (MECS). This decline continues the downward trend in manufacturing energy use since the 1998 MECS report.

134

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

E-Print Network (OSTI)

Like the Other: Residential Consumption Variability Phillipthe total annual energy consumption. The behavior patternsin total residential energy consumption per home, even when

Kelsven, Phillip

2013-01-01T23:59:59.000Z

135

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network (OSTI)

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

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

136

Alabama State Certification of Residential Building Codes | Building...  

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

Name: Adams Initials: TL Affiliation: Alabama Department of Economic and Community Affairs Focus: Adoption Building Type: Residential Code Referenced: 2009 IECC 2009 IRC...

137

Residential Energy Consumption - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The Residential Energy Consumption Survey provides national and regional information about U.S. households and their energy usage. The first survey was conducted in 1978.

138

Solid-State Lighting: Residential Lighting End-Use Consumption  

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

Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The...

139

EIA publishes state fact sheets on residential energy consumption ...  

U.S. Energy Information Administration (EIA)

EIA has recently published state fact sheets highlighting interesting aspects of residential energy consumption and housing characteristics based on data released ...

140

"Table 17. Total Delivered Residential Energy Consumption, Projected...  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,...

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


141

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

142

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

143

Figure 57. Change in residential delivered energy consumption ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 57. Change in residential delivered energy consumption for selected end uses in four cases, 2011-2040 (percent) Best Available Technology

144

Trends in U.S. Residential Natural Gas Consumption  

Annual Energy Outlook 2012 (EIA)

the Residential Energy Consumption Survey. Energy Information Administration, Office of Oil and Gas, June 2010 1 Natural gas prices may have also contributed to the decrease...

145

Energy Use and Indoor Thermal Environment of Residential Buildings in China  

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

Energy Use and Indoor Thermal Environment of Residential Buildings in China Energy Use and Indoor Thermal Environment of Residential Buildings in China Speaker(s): Hiroshi Yoshino Date: December 16, 2003 - 12:00pm Location: 90-3122 The first part of this talk will deal with the project on Energy Consumption and Indoor Environment Problems of Residential Buildings in China, organized by the Architectural Institute of Japan. Prof. Yoshino will discuss the results of project elements, including: 1) Literature survey and field investigation on energy consumption and indoor environment of residential buildings, 2) Compilation of weather data for building design based on observed data in China, 3) Literature survey and field investigation on energy consumption and indoor environment of residential buildings, 4) Estimation and verification of the effects of various

146

Residential Building Renovations | Department of Energy  

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

Residential Building Renovations Residential Building Renovations Residential Building Renovations October 16, 2013 - 4:57pm Addthis Renewable Energy Options Residential Building Renovations Photovoltaics Daylighting Solar Water Heating Geothermal Heat Pumps (GHP) Biomass Heating In some circumstances, Federal agencies may face construction or renovation of residential units, whether single-family, multi-family, barracks, or prisons. Based on typical domestic energy needs, solar water heating and photovoltaic systems are both options, depending on the cost of offset utilities. These systems can be centralized for multi-family housing to improve system economics. Daylighting can reduce energy costs and increase livability of units. Geothermal heat pumps (GHP) are a particularly cost-effective option in

147

Trends in U.S. Residential Natural Gas Consumption  

Reports and Publications (EIA)

This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009).

Lejla Alic

2010-06-23T23:59:59.000Z

148

Minneapolis residential energy consumption. Final report  

SciTech Connect

This report deals with residential energy consumption in single - family, townhouse, low - rise, and high - rise structures in Minnapolis, Minn., with the year 1957 chosen as a typical weather year for the area. Design and structural features considered important in defining the residences were structural parameters (construction details, dimensions, and materials), energy consumption parameters (heating and cooling equipment, types of fuels and energy used, and appliances and their energy consumption levels), and lifestyle parameters (thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans). Annual heating and cooling loads and resultant energy requirements were calculated using a time - response computer program. This program included subroutines for determining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The heating load was significantly higher than the cooling load for single - family and townhouse residences, as would be expected for the cold Minneapolis climate. Due to increased internal heat generation, low - rise and high - rise cooling and heating loads were similar in magnitude. Energy - conserving modifications involving both structural and comfort control system changes resulted in the following: single - family residences consumed 47 percent, townhouse residences consumed 52 percent, low - rise residences consumed 53 percent, and high - rise residences consumed 34 percent of the primary energy required by the characteristic residence. Supporting data, layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-11-01T23:59:59.000Z

149

Building Technologies Office: Residential Furnaces and Boilers Framework  

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

Residential Furnaces Residential Furnaces and Boilers Framework Meeting to someone by E-mail Share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Facebook Tweet about Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Twitter Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Google Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Delicious Rank Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Digg Find More places to share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on AddThis.com... About Standards & Test Procedures Implementation, Certification & Enforcement

150

Fact Sheet: Better Buildings Residential Network  

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

Sheet Sheet BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn What Is the Residential Network? The Better Buildings Residential Network connects energy efficiency programs and partners to share best practices and learn from one another to dramatically increase the number of American homes that are energy efficient. Since 2010, the U.S. Department of Energy (DOE), local Better Buildings Neighborhood Program partners, and Home Performance with ENERGY STAR ® Sponsors have leveraged over $1 billion in federal funding and local resources to build more energy-efficient communities. DOE is now expanding this network of residential energy efficiency programs and partners to new members. Who Should Join? Network membership is open to all organizations that are committed to accelerating the pace of energy

151

Building Technologies Office: Building America Residential Energy...  

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

research results to the market. Learn more about the research planning process. Read the Residential Energy Efficiency Research Planning Meeting Summary Report and view the...

152

Atlanta residential energy consumption. Final report  

SciTech Connect

Energy consumption in Atlanta, Ga., was analyzed for single - family, townhouse, low - rise, and high - rise structures for 1955, which was selected as a typical weather year. A two - step procedure was employed in calculating energy requirements. In the first step, hourly heating and cooling loads were determined for each dwelling unit. In the second step, monthly and annual energy required to meet heating and cooling loads was calculated using specific heating, cooling, and ventilation systems. Design and structural features considered important in defining the residential structures were construction details and materials, heating and cooling equipment, types of fuels and energy used, and appliances and their energy consumption levels. Lifestyle parameters incorporated in the analysis included thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans. The computer program for determining heating and cooling loads, or heat delivery / removal requirements, for each residence involved subroutines for ascertaining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The low - rise type of structure had a cooling load that was more than twice as large as the heating load. The other structures had cooling loads about 1.5 times as large as heating loads. Energy - conserving modifications, involving both structural and comfort control system changes, resulted in the following: single - family and townhouse residences achieved a 32 - percent annual heating load reduction and a 16 - percent cooling load reduction through structural modifications; and low - rise and high - rise residences achieved a 43 - percent reduction in primary energy consumption. Supporting data, illustrative layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-08-01T23:59:59.000Z

153

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

DC. Steiner, R.L. (1994). Residential density and traveland Brownstone The Impact of Residential Density on VehicleUsage Total annual residential vehicular energy consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

154

Trends in U.S. Residential Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Trends in U.S. Residential Natural Gas Consumption Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per- customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Questions or comments on the contents of this article should be directed to Lejla Alic at Lejla.Alic@eia.doe.gov or (202) 586-0858.

155

DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption  

Gasoline and Diesel Fuel Update (EIA)

/HRIf /HRIf Residential Energy Consumption Survey. Consumption and Expenditures, April 1981 Through March 1982 an Part I: National Data Energy Information Administration Washington, D.C. (202) 20fr02 'O'Q 'uoifkjjUSBM ujiuud juaoiujeAog 'S'n siuawnooQ jo luapuaiuuadns - 0088-292 (202) 98S02 '0'Q 8f 0-d I 6ujp|ing uoiieflSjUjiup v UOIIBUJJOJU | ABjau 3 02-13 'jaiuao UOIJBUJJOJUI XBjaug IBUO!;BN noA pasopua s; uujoi japjo uy 'MO|aq jeadde sjaqoinu auoydajaj PUB sassajppv 'OI3N 9>4i oi papajip aq pinoqs X6jaue uo suotjsenQ '(OIBN) J9»ueo aqjeiMJO^ui ASjaug (BUOIJEN s,vi3 QMi JO OdO 941 UUGJJ peuiBiqo eq ABOI suoijBonqnd (vi3) UO!JBJ;S!UILUPV UOIIBUUJO|U| XBjeug jaiflo PUB SJMJ p ssBiiojnd PUB UOIIBLUJO^JI 6uuepjQ (Od9) 90IWO Bujjuud luetuujaAOQ -g'n 'sjuaiunooa p juapuaiuuedng aqt LUOJI aiqB||BAB si uoHBOjiqnd sjt|i

156

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.

157

Membership Criteria: Better Buildings Residential network  

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

Criteria Criteria BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn Better Buildings Residential Network (BBRN) members must be supportive of residential energy efficiency and the mission of the BBRN. Members are expected to be legally incorporated organizations or institutions, rather than individuals, actively engaged in the field of existing residential building energy efficiency with an ability to impact the market. Members should have the ability and capacity to carry out the requirements for membership (i.e., reporting the annual number of upgrades in their sphere of influence, and associated benefits), and actively engage as a member. Members must actively engage in significant work supporting, studying, researching, reporting, and/or

158

Statistical Analysis of Historical State-Level Residential Energy Consumption Trends  

SciTech Connect

Developing an accurate picture of the major trends in energy consumption in the nations stock of residential buildings can serve a variety of national and regional program planning and policy needs related to energy use. This paper employs regression analysis and uses the PRISM (Princeton Scorekeeping Method) approach with historical data to provide some insight into overall changes in the thermal integrity of the residential building stock by state. Although national energy use intensity estimates exist in aggregate, these numbers shed little light on what drives building consumption, as opposing influences are hidden within the measurement (e.g., more appliances that increase energy use while shell improvements reduce it). This study addresses this issue by estimating changes in the reference temperatures that best characterize the existing residential building stock on a state basis. Improvements in building thermal integrity are reflected by declines in the heating reference temperature, holding other factors constant. Heating and cooling-day estimates to various reference temperatures were computed from monthly average temperature data for approximately 350 climatic divisions in the U.S. A simple cross-sectional analysis is employed to try to explain the differential impacts across states. Among other factors, this analysis considers the impact that the relative growth in the number of residential buildings and the stringency of building energy codes has had on residential building energy use. This paper describes the methodology used, presents results, and suggests directions for future research.

Belzer, David B.; Cort, Katherine A.

2004-08-01T23:59:59.000Z

159

State Residential Energy Consumption Shares 1996  

Gasoline and Diesel Fuel Update (EIA)

Residential customers in the Northeast are more heavily dependent on heating oil than are residential consumers in the rest of the country. Rhode Island is no exception. In 1996,...

160

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential BuildingsŽ  

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

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential Buildings" and 10 CFR Part 435 "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Low-Rise Residential Buildings" (DOE/EA-1778) 2 SUMMARY The U.S. Department of Energy (DOE) has prepared this Environmental Assessment (EA) for DOE's Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential

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


161

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential BuildingsŽ  

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

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential Buildings" and 10 CFR Part 435 "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Low-Rise Residential Buildings" (DOE/EA-1778) 2 SUMMARY The U.S. Department of Energy (DOE) has prepared this Environmental Assessment (EA) for DOE's Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential

162

Residential energy consumption survey: housing characteristics 1984  

SciTech Connect

Data collected in the 1984 Residential Energy Consumption Survey (RECS), the sixth national survey of households and their fuel suppliers, provides baseline information on how households use energy. Households living in all types of housing units - single-family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public. The housing characteristics this report describes include fuels and the uses they are put to in the home; appliances; square footage of floorspace; heating (and cooling) equipment; thermal characteristics of housing structures; conservation features and measures taken; the consumption of wood; temperatures indoors; and regional weather. These data are tabulated in sets, first showing counts of households and then showing percentages. Results showed: Fewer households are changing their main heating fuel. More households are air conditioned than before. Some 50% of air-conditioned homes now use central systems. The three appliances considered essential are the refrigerator, the range, and the television set. At least 98% of US homes have at least one television set; but automatic dishwashers are still not prevalent. Few households use the budget plans tht are available from their utility companies to ease the payment burden of seasonal surges in fuel bills. The most common type of heating equipment in the United States is the natural-gas forced-air furnace. About 40% ofthose furnaces are at least 15 years old. The oldest water heaters are those that use fuel oil. The most common conservation feature in 1984 is ceiling or attic insulation - 80% of homes report having this item. Relatively few households claimed tax credits in 1984 for energy-conservation improvements.

Not Available

1986-10-08T23:59:59.000Z

163

Residential Energy Consumption Survey: Housing Characteristics,  

Gasoline and Diesel Fuel Update (EIA)

tni tni Residential Energy Consumption Survey: Housing Characteristics, 1981 Energy Information Administration Washington. D.C August 1983 T86T -UJ9AO9 aiji uuojj pasenojnd uaaq (OdO) i|oii)/v\ suoijdijosqns o; Ajdde jou saop aoiiou :e|ON asBa|d 'pjBo^sod at|j noA j| 3Sj| Suiije'Lu vi3 3M1 uo ;u!Buuaj o^sn o} }i ujnja> isnoi nox 'pJBOisod iuB»jodoi! UB aABL) pjnons hoA '}s\\ BujUBUJ VI3 9L|} uo ajB noA|| 'MaiAaj jsij SUJMBUJ suouBOjiqnd |BnuuBS}j BUJ -jonpuoo Sj (vi3) uoijej^siujuupv UOIJBLUJOIUI Afijau^ agj 'uoiieinBaj iuaoiujaAOQ Aq pajmbaj sv 30HON 02-13 maoj aapao ay 05. pa^oajjp aq pus siuamnooa jo 0088-353 (303) S8SOZ "D'Q 'uoiSu-pqsBtt T rao°H 50 UOT^BOLIOJUI

164

An energy standard for residential buildings in south China  

E-Print Network (OSTI)

Abstract: residential, buildings, energy standard, energyspiraling demand for building energy use, Chinas Ministryand implementing building energy standards, starting with a

Huang, Yu Joe; Lang, Siwei; Hogan, John; Lin, Haiyan

2003-01-01T23:59:59.000Z

165

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... residential energy consumption. Field Study of the Effect of Wall Mass on the Heating and Cooling Loads of Residential Buildings. ...

166

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 ...

167

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 ...

168

Better Buildings Residential Program Solution Center Demonstration  

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

Danielle Sass Byrnett Better Buildings Residential Building Technologies Office Program Solution Center Demonstration Outline * Goals, History, Content Sources * Tour: Organization - Program Components - Handbooks * Tour: Navigation Options * Tour: Examples * Next Steps * Questions & Feedback 2 eere.energy.gov Overview 3 eere.energy.gov Purpose: Support Residential Energy Efficiency Upgrade Programs & Partners * Provide an easily accessed repository for key lessons, resources, and knowledge collected from the experience of past programs. * Help programs and their partners plan, implement, manage, and evaluate better * Help stakeholders leapfrog past missteps en route to a larger and more successful industry. 4 eere.energy.gov Intended Audiences

169

Evaluating Residential Buildings for Statewide Compliance | Building Energy  

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

Residential Buildings for Statewide Compliance Residential Buildings for Statewide Compliance The materials for this course may be used for in-person training courses, and are intended to provide the tools and specific training necessary to evaluate residential compliance with the 2009 International Energy Conservation Code (IECC). The course also provides useful training in general residential field inspection for energy code compliance. The recommended background for taking this course is significant experience and/or certification on the IECC in a plan review or inspection capacity. Presenters: Course materials originally published by the DOE Building Energy Codes Program, July 16, 2010. Course Type: Training Materials Video In-person Downloads: Presentation Slides Presentation Slides Presentation Slides and Windows Media Videos

170

Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010  

E-Print Network (OSTI)

-offs in the building design process, sizing components (e.g., HVAC) for a specific building, optimizing control systemsPlease cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential.03.010 ARTICLE IN PRESSG Model ENB-3661; No.of Pages13 Energy and Buildings xxx (2012) xxx­xxx Contents lists

Parker, Lynne E.

171

Residential Energy Consumption Survey (RECS) - Analysis ...  

U.S. Energy Information Administration (EIA)

RECS data show decreased energy consumption per household. RECS 2009 Release date: June 6, 2012. Total United States energy consumption in homes has remained ...

172

Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &  

Gasoline and Diesel Fuel Update (EIA)

How Will Buildings Be Selected for the 2012 CBECS? How Will Buildings Be Selected for the 2012 CBECS? Background and Overview Did You Know? In the CBECS, commercial refers to any structure that is neither residential, manufacturing/ industrial, nor agricultural. Building refers to a structure that is totally enclosed by walls that extend from the foundation to the roof. Data collection for the 2012 Commercial Buildings Energy Consumption Survey (CBECS) will begin in April 2013, collecting data for reference year 2012. The goal of the CBECS is to provide basic statistical information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings. The 2003 CBECS estimated that there were 4.9 million commercial buildings in the US. Because it would be completely impractical and prohibitively

173

Better Buildings Partners: Better Buildings Residential Network...  

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

work they are doing to advance energy efficiency. AFC First Alabama Energy Doctors Austin Energy BC Hydro Boulder County, Colorado Building Sustainable Solutions, LLC California...

174

Better Buildings Neighborhood Program: What's Working in Residential Energy  

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

What's Working What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 to someone by E-mail Share Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Facebook Tweet about Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Twitter Bookmark Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Google Bookmark Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Delicious Rank Better Buildings Neighborhood Program: What's Working in Residential Energy Efficiency Upgrade Programs Workshop, May 2011 on Digg

175

Design for Energy Efficiency in Residential Buildings  

E-Print Network (OSTI)

This paper presents the thermal design and heating design of an energy saving residential building in Beijing where the owners lived until 2004. Results show the advantages and disadvantages of a household-based heating mode by natural gas. Based on the quantity of natural gas by field tests in 2005, we conclude that thermal design influences heating design calculations.

Song, M.; Zhang, Y.; Yang, G.

2006-01-01T23:59:59.000Z

176

Advanced Residential Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)  

SciTech Connect

Factsheet describing the Advanced Residential Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

Not Available

2009-09-01T23:59:59.000Z

177

Advanced Residential Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)  

SciTech Connect

Factsheet describing the Advanced Residential Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

2009-09-01T23:59:59.000Z

178

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...

179

2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions  

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

D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

180

Steven Winter Associates (Consortium for Advanced Residential Buildings) |  

Open Energy Info (EERE)

Winter Associates (Consortium for Advanced Residential Buildings) Winter Associates (Consortium for Advanced Residential Buildings) Jump to: navigation, search Name Steven Winter Associates (Consortium for Advanced Residential Buildings) Place Norwalk, CT Information About Partnership with NREL Partnership with NREL Yes Partnership Type Incubator Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Steven Winter Associates (Consortium for Advanced Residential Buildings) is a company located in Norwalk, CT. References Retrieved from "http://en.openei.org/w/index.php?title=Steven_Winter_Associates_(Consortium_for_Advanced_Residential_Buildings)&oldid=379243" Categories: Clean Energy Organizations

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


181

Residential Building Industry Consulting Services | Open Energy Information  

Open Energy Info (EERE)

Residential Building Industry Consulting Services Residential Building Industry Consulting Services Jump to: navigation, search Name Residential Building Industry Consulting Services Place New York, NY Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Residential Building Industry Consulting Services is a company located in New York, NY. References Retrieved from "http://en.openei.org/w/index.php?title=Residential_Building_Industry_Consulting_Services&oldid=381757" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages

182

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

sample custom-designed to meet the analytic objectives for surveys of residential energy use; sample as many as 5,500 households; provide 2-day personal training sessions...

183

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

184

Thermal Performance Analysis of a High-Mass Residential Building  

DOE Green Energy (OSTI)

Minimizing energy consumption in residential buildings using passive solar strategies almost always calls for the efficient use of massive building materials combined with solar gain control and adequate insulation. Using computerized simulation tools to understand the interactions among all the elements facilitates designing low-energy houses. Finally, the design team must feel confident that these tools are providing realistic results. The design team for the residential building described in this paper relied on computerized design tools to determine building envelope features that would maximize the energy performance [1]. Orientation, overhang dimensions, insulation amounts, window characteristics and other strategies were analyzed to optimize performance in the Pueblo, Colorado, climate. After construction, the actual performance of the house was monitored using both short-term and long-term monitoring approaches to verify the simulation results and document performance. Calibrated computer simulations showed that this house consumes 56% less energy than would a similar theoretical house constructed to meet the minimum residential energy code requirements. This paper discusses this high-mass house and compares the expected energy performance, based on the computer simulations, versus actual energy performance.

Smith, M.W.; Torcellini, P.A., Hayter, S.J.; Judkoff, R.

2001-01-30T23:59:59.000Z

185

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

186

Buildings Except Low-Rise Residential Buildings  

E-Print Network (OSTI)

The parking structure lighting performance specification is intended to provide adequate illumination in parking structures (also known as parking garages) and save energy by reducing the installed power density of equipment below code as well as using controls to further reduce energy consumption. Revisions to this specification may occur in the future. 1.2 REFERENCES A. The publications listed below form a part of this specification to the extent referenced. Publications are referenced within the text by the basic designation only. B. American National Standards Institute (ANSI) 1. ANSI C62.41.1-2002 IEEE Guide on the Surge Environment in Low-Voltage (1000V and less) AC Power Circuits

Chromaticity Solid; State Lighting Products

2010-01-01T23:59:59.000Z

187

Enhancing Residential Building Operation through its Envelope  

E-Print Network (OSTI)

In this study heat loss is evaluated with the modeling software of Iranian Construction Engineering Organization, for both with and without insulation in the building. Of course the evaluation is in accordance with the laws of this organization, which support environmental and constructional matters. Also the amounts of energy consumption for these two states are compared and a substantial economy of energy consumption is presented. Eventually, results represent that 32% in heat load and 25% in cooling load of the building can be economized. And also most energy loss is related to the windows and the roof of the building.

Vazifeshenas, Y.; Sajjadi, H.

2010-01-01T23:59:59.000Z

188

Residential Energy Consumption Survey (RECS) - Energy Information ...  

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes ... Total United States energy consumption in homes has remained relatively stable for many years as increased energy ...

189

Residential Energy Consumption Survey (RECS) - Energy ...  

U.S. Energy Information Administration (EIA)

... video - Keeping Our Homes Warm, released November 2, 2012. Energy consumption per home has steadily declined over the last three decades ...

190

Residential Energy Consumption Survey (RECS) - Energy ...  

U.S. Energy Information Administration (EIA)

This Week in Petroleum Weekly Petroleum Status Report Weekly Natural Gas ... Total United States energy consumption in homes has remained relatively ...

191

Residential Energy Consumption Survey data show decreased ...  

U.S. Energy Information Administration (EIA)

Total U.S. energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the ...

192

Impact of improved building thermal efficiency on residential energy demand  

SciTech Connect

The impact of improved building shell thermal efficiency on residential energy demand is explored in a theoretical framework. The important economic literature on estimating the price elasticity of residential energy demand is reviewed. The specification of the residential energy demand model is presented. The data used are described. The empirical estimation of the residential energy demand model is described. (MHR)

Adams, R.C.; Rockwood, A.D.

1983-04-01T23:59:59.000Z

193

Measuring Airflows at Registers in Residential Buildings  

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

Measuring Airflows at Registers in Residential Buildings Measuring Airflows at Registers in Residential Buildings Speaker(s): Cyril Guillot Date: August 29, 2002 - 12:00pm Location: Bldg. 90 Measuring airflows at registers is a central issue in all HVAC (Heating Ventilation and Air Conditioning) studies. It is a basic measurement that is required in many Cooling/Heating systems tests and in air conditioner performance diagnostics. These measurements can, for instance, be used to determine if individual rooms receive adequate airflow in terms of comfort, to estimate total air handler flow and supply/return imbalances, and to assess duct air leakage. First, I calibrated the Minneapolis Duct Blasters, useful in the most accurate flow hood we have, then I worked on an existing project: measuring airflows with laundry baskets. Finally, I

194

Window-Related Energy Consumption in the US Residential and Commercial  

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

Window-Related Energy Consumption in the US Residential and Commercial Window-Related Energy Consumption in the US Residential and Commercial Building Stock Title Window-Related Energy Consumption in the US Residential and Commercial Building Stock Publication Type Report LBNL Report Number LBNL-60146 Year of Publication 2006 Authors Apte, Joshua S., and Dariush K. Arasteh Call Number LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.

195

Thermal Performance of Phase Change Wallboard for Residential Cooling Application  

E-Print Network (OSTI)

USA ABSTRACT Cooling of residential California buildings contributes significantly to electrical consumption and peak power demand

Feustel, H.E.

2011-01-01T23:59:59.000Z

196

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...

197

Commercial Buildings Energy Consumption and Expenditures 1992  

Annual Energy Outlook 2012 (EIA)

(92) Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Contacts The Energy Information Administration (EIA) prepared this...

198

Residential Energy Consumption Survey (RECS) - Analysis ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, ... The RECS gathers information through personal interviews with a nationwide sample of homes and energy suppliers.

199

1997 Survey Methods -- Residential Energy Consumption Survey ...  

U.S. Energy Information Administration (EIA)

... of local sources of information, such as building-permit-issuing agencies, ... The FSA is interested in households living below the poverty level. ...

200

Residential Energy Consumption Survey (RECS) - Analysis ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy ... Apartments in buildings with 5 or more units use less energy than other home types ... California ...

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


201

Residential Energy Consumption Survey (RECS) - Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, ... State Energy Data System ... routinely uses feedback from customers and outside experts to help improve its programs ...

202

Partner With DOE and Residential Buildings | Department of Energy  

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

Residential Buildings » Partner With DOE and Residential Buildings Residential Buildings » Partner With DOE and Residential Buildings Partner With DOE and Residential Buildings The U.S. Department of Energy (DOE) partners with a variety of organizations to improve the energy efficiency of residential buildings. Home builders, governments, researchers, and universities have several opportunities to work with the Building Technologies Office and other DOE projects. Home Builders Home builders who want to be recognized for building high performance homes can find out what it takes to participate in DOE's Challenge Home and sign up today. DOE Challenge Homes are verified by a qualified third-party and are at least 40%-50% more energy efficient than a typical new home. State or Local Governments, Utilities, and Other Organizations

203

TECHNICAL DOCUMENTATION Commercial Buildings Energy Consumption Survey  

Reports and Publications (EIA)

This is the technical documentation for the public use data set based on the 1992 Commercial Buildings Energy Consumption Survey (CBECS), the national sample survey of commercial buildings and their energy suppliers conducted by the Energy Information Administration.

Information Center

1996-07-01T23:59:59.000Z

204

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 9.4 9.2 19.6 41 19 40.2 16 607 0.29 598 231 Census Region and Division Northeast 1.7 1.7 4.5 31 11 29.8 11 538 0.20 519 186 New England 0.7 0.7 2.2 34 11 33.1 12 580 0.19 569 209 Middle Atlantic 1.0 0.9 2.4 29 11 27.4 10 506 0.20 482 169

205

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 54.2 41.0 91.8 116 52 87.6 32 658 0.29 498 183 Census Region and Division Northeast 11.6 7.3 21.1 132 46 82.6 31 951 0.33 598 221 New England 2.0 1.3 4.5 126 35 77.9 28 1,062 0.30 658 235 Middle Atlantic 9.6 6.0 16.5 133 49 83.6 31 928 0.34 585 217

206

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 57.3 42.5 99.4 114 49 84.3 33 615 0.26 456 176 Census Region and Division Northeast 11.7 7.4 21.2 139 49 88.5 34 898 0.31 571 221 New England 1.7 1.0 3.0 155 49 86.8 33 1,044 0.33 586 223 Middle Atlantic 10.0 6.5 18.2 137 49 88.8 35 877 0.31 568 221

207

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 58.7 46.0 111.9 115 47 89.9 34 696 0.29 546 206 Census Region and Division Northeast 12.2 7.7 23.3 145 48 90.9 35 1,122 0.37 703 272 New England 2.2 1.2 4.2 154 45 85.7 34 1,298 0.38 722 290 Middle Atlantic 10.0 6.4 19.1 143 48 92.0 35 1,089 0.37 699 269

208

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 86.3 67.4 144.3 37 17 28.8 11 808 0.38 632 234 Census Region and Division Northeast 18.3 13.0 35.0 31 12 22.3 8 938 0.35 665 245 New England 4.3 3.1 9.0 31 11 22.6 8 869 0.30 635 227 Middle Atlantic 14.0 9.9 26.0 32 12 22.2 8 959 0.36 674 251

209

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Fuel Oil/Kerosene, 2001 Fuel Oil/Kerosene, 2001 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 11.2 9.4 26.0 80 29 67.1 26 723 0.26 607 236 Census Region and Division Northeast 7.1 5.4 16.8 111 36 84.7 33 992 0.32 757 297 New England 2.9 2.5 8.0 110 35 96.3 39 1,001 0.32 875 350 Middle Atlantic 4.2 2.8 8.8 112 36 76.6 30 984 0.32 675 260

210

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 57.7 44.8 106.3 109 46 84.2 32 609 0.26 472 181 Census Region and Division Northeast 11.9 7.7 23.6 134 44 86.8 33 952 0.31 615 232 New England 2.0 1.1 3.5 146 45 76.0 29 1,135 0.35 592 227 Middle Atlantic 9.9 6.6 20.1 133 44 89.1 34 923 0.30 620 234

211

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 55.4 41.3 93.2 121 53 89.9 33 722 0.32 537 198 Census Region and Division Northeast 11.7 7.5 21.1 125 44 79.2 30 925 0.33 588 221 New England 2.0 1.3 4.2 122 39 80.3 29 955 0.30 626 224 Middle Atlantic 9.7 6.1 16.9 125 45 78.9 30 919 0.33 580 220

212

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 7.3 7.2 12.2 44 26 42.8 15 389 0.23 382 133 Census Region and Division Northeast 1.2 1.1 2.7 29 11 26.2 9 318 0.13 288 94 New England 0.5 0.4 1.0 25 11 22.5 8 282 0.12 250 91 Middle Atlantic 0.7 0.7 1.7 31 12 28.6 9 341 0.13 312 96

213

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 17.4 14.0 33.3 87 37 70.3 27 513 0.22 414 156 Census Region and Division Northeast 9.1 6.3 17.8 140 49 96.0 37 808 0.28 556 212 New England 2.6 2.0 5.8 130 46 102.1 39 770 0.27 604 233 Middle Atlantic 6.5 4.2 12.1 144 51 93.6 36 826 0.29 537 204

214

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 90.5 70.4 156.8 39 18 30.5 12 875 0.39 680 262 Census Region and Division Northeast 19.0 13.2 36.8 34 12 23.3 9 934 0.34 648 251 New England 4.3 3.0 8.4 33 12 22.9 9 864 0.30 600 234 Middle Atlantic 14.8 10.2 28.4 34 12 23.4 9 954 0.34 661 256

215

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 107.0 85.2 211.2 46 18 36.0 14 1,178 0.48 938 366 Census Region and Division Northeast 20.3 14.1 43.7 37 12 26.0 11 1,268 0.41 883 362 New England 5.4 4.1 13.2 32 10 24.0 10 1,121 0.35 852 358 Middle Atlantic 14.8 10.0 30.5 40 13 27.0 11 1,328 0.44 894 364

216

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 7.8 7.7 12.0 41 26 40.1 15 406 0.26 398 146 Census Region and Division Northeast 1.4 1.2 2.7 23 10 20.1 7 295 0.13 264 91 New England 0.5 0.4 1.0 31 14 27.6 9 370 0.17 330 114 Middle Atlantic 0.9 0.8 1.8 18 8 15.9 6 253 0.11 226 79

217

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

90 90 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 16.3 13.5 33.2 77 31 63.9 23 609 0.25 506 181 Census Region and Division Northeast 8.9 6.4 19.3 121 40 87.7 32 950 0.32 690 253 New England 2.5 2.1 5.9 121 43 99.0 39 956 0.34 784 307 Middle Atlantic 6.3 4.4 13.4 121 39 83.2 30 947 0.31 652 234

218

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

97 97 Average Electricity Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 101.4 83.2 168.8 42 21 35.0 13 1,061 0.52 871 337 Census Region and Division Northeast 19.7 15.1 34.6 32 14 25.0 10 1,130 0.49 863 345 New England 5.3 4.2 9.3 31 14 24.0 9 1,081 0.49 854 336 Middle Atlantic 14.4 10.9 25.3 33 14 25.0 10 1,149 0.49 867 349

219

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 14.6 11.0 28.9 116 44 87.9 32 1,032 0.39 781 283 Census Region and Division Northeast 8.9 5.9 18.0 158 51 103.5 36 1,405 0.46 923 323 New England 2.4 1.7 5.1 148 50 105.3 36 1,332 0.45 946 327 Middle Atlantic 6.5 4.1 12.8 161 52 102.9 36 1,435 0.46 915 322

220

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 15.4 11.6 29.7 131 51 99.0 36 1,053 0.41 795 287 Census Region and Division Northeast 9.2 6.0 18.2 176 59 116.2 42 1,419 0.47 934 335 New England 2.7 2.0 6.0 161 53 118.3 42 1,297 0.43 954 336 Middle Atlantic 6.5 4.1 12.2 184 61 115.3 42 1,478 0.49 926 335

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


221

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 83.1 66.1 144.2 37 17 29.1 10 678 0.31 539 192 Census Region and Division Northeast 17.9 12.1 35.1 33 11 22.1 8 830 0.29 561 195 New England 4.3 2.9 8.3 31 11 21.3 8 776 0.27 531 189 Middle Atlantic 13.7 9.2 26.7 33 11 22.4 8 847 0.29 571 197

222

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, 1997 Natural Gas, 1997 Average Natural Gas Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 61.9 51.3 106.1 103 50 85.3 32 698 0.34 579 218 Census Region and Division Northeast 11.8 8.3 19.9 123 52 86.9 35 1,097 0.46 772 310 New England 1.9 1.4 3.3 123 50 87.0 32 1,158 0.48 819 301 Middle Atlantic 9.9 6.9 16.6 124 52 86.9 36 1,085 0.45 763 312

223

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 96.6 76.4 181.2 43 18 34.0 13 1,061 0.45 840 321 Census Region and Division Northeast 19.5 13.8 40.1 34 12 24.1 9 1,144 0.39 809 309 New England 5.1 3.7 10.6 33 11 24.1 9 1,089 0.38 797 311 Middle Atlantic 14.4 10.1 29.4 35 12 24.2 9 1,165 0.40 814 309

224

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.2 11.0 23.2 97 46 81.1 31 694 0.33 578 224 Census Region and Division Northeast 8.2 6.2 14.5 136 57 101.3 40 950 0.40 710 282 New England 3.1 2.7 5.8 126 60 111.5 45 902 0.43 797 321 Middle Atlantic 5.2 3.4 8.8 143 56 95.1 38 988 0.39 657 260

225

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.8 11.6 29.8 92 36 77.5 28 604 0.23 506 186 Census Region and Division Northeast 7.9 5.9 17.2 133 45 98.7 36 854 0.29 636 234 New England 2.8 2.4 6.6 125 45 105.6 40 819 0.30 691 262 Middle Atlantic 5.0 3.5 10.6 138 45 94.8 34 878 0.29 605 219

226

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 81.6 65.3 142.5 38 17 30.3 11 625 0.29 500 178 Census Region and Division Northeast 17.7 12.2 34.8 33 12 23.0 8 742 0.26 514 181 New England 4.3 2.9 8.9 34 11 23.1 8 747 0.25 508 177 Middle Atlantic 13.4 9.3 26.0 33 12 22.9 8 740 0.27 516 183

227

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 66.9 53.8 137.2 90 35 72.4 27 873 0.34 702 265 Census Region and Division Northeast 12.5 7.8 25.4 126 39 78.3 33 1,434 0.44 889 372 New England 2.3 1.5 5.5 128 34 82.5 35 1,567 0.42 1,014 428 Middle Atlantic 10.3 6.3 19.9 126 40 77.4 32 1,403 0.45 861 360

228

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 17.5 13.8 32.0 91 39 71.9 27 697 0.30 550 203 Census Region and Division Northeast 9.5 6.6 18.2 141 51 97.3 35 1,066 0.38 734 266 New England 2.5 1.9 5.6 140 49 108.8 39 1,105 0.38 856 306 Middle Atlantic 7.0 4.6 12.6 142 52 93.2 34 1,050 0.38 690 252

229

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, 1980 Natural Gas, 1980 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 51.6 39.7 88.5 125 56 96.2 34 497 0.22 383 137 Census Region and Division Northeast 10.9 6.5 18.8 144 50 86.6 31 771 0.27 463 168 New England 1.9 0.9 3.1 162 47 78.9 28 971 0.28 472 169 Middle Atlantic 9.0 5.6 15.7 141 51 88.1 32 739 0.27 461 168

230

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 15.5 12.2 30.0 98 40 77.1 27 829 0.34 650 231 Census Region and Division Northeast 8.8 6.0 17.4 138 48 94.5 34 1,163 0.40 796 283 New England 2.5 1.9 5.9 131 43 101.9 36 1,106 0.36 863 309 Middle Atlantic 6.3 4.1 11.5 142 50 91.5 32 1,191 0.42 769 272

231

Design and thermal modeling of a residential building  

E-Print Network (OSTI)

Recent trends of green energy upgrade in commercial buildings show promise for application to residential houses as well, where there are potential energy-saving benefits of retrofitting the residential heating system from ...

Yeh, Alice Su-Chin

2009-01-01T23:59:59.000Z

232

The Temperature Sensitivity of the Residential Load and Commercial Building Load  

SciTech Connect

This paper presents a building modeling approach to quickly quantify climate change impacts on energy consumption, peak load, and load composition of residential and commercial buildings. This research focuses on addressing the impact of temperature changes on the building heating and cooling load in 10 major cities across the Western United States and Canada. A building simulation software are first used to quantify the hourly energy consumption of different building types by end-use and by vintage. Then, the temperature sensitivities are derived based on the climate data inputs.

Lu, Ning; Taylor, Zachary T.; Jiang, Wei; Correia, James; Leung, Lai R.; Wong, Pak C.

2009-07-26T23:59:59.000Z

233

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%

234

Residential Energy Consumption for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

for Water Heating (2005) for Water Heating (2005) Dataset Summary Description Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in both physical units and Btus. The data is presented for numerous categories including: Census Region and Climate Zone; Housing Unit Characteristics (type, year of construction, size, income, race, age); and Water Heater and Water-using Appliance Characteristics (size, age, frequency of use, EnergyStar rating). Source EIA Date Released September 01st, 2008 (6 years ago) Date Updated January 01st, 2009 (5 years ago) Keywords Energy Consumption Residential Water Heating Data application/vnd.ms-excel icon 2005_Consumption.for_.Water_.Heating.Phys_.Units_EIA.Sep_.2008.xls (xls, 67.6 KiB)

235

Effects of feedback on residential electricity consumption: A literature review  

SciTech Connect

This report reviews 17 studies assessing the effect of information feedback on residential electricity consumption. Most of the studies were conducted in experimental or quasi-experimental conditions. The studies reviewed used (1) both feedback and incentives, (2) goal setting, (3) cost information feedback, and (4) displays. The study findings, taken together, provide some evidence that feedback is effective in reducing electricity consumption, although questions remain concerning the conditions under which feedback can best be provided. Reductions in consumption found in most of the studies ranged from 5% to 20%. Utility companies are the most likely source of feedback information for residential customers. Three of the studies investigated utility feedback projects. The report discusses the policy implications of these as well as the other studies. The report also lists questions remaining to be researched. 13 refs., 1 tab.

Farhar, B.C.; Fitzpatrick, C.

1989-01-01T23:59:59.000Z

236

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

residential transportation energy usage is vital for theDensity on Vehicle Usage and Energy Consumption Table 2Density on Vehicle Usage and Energy Consumption with

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

237

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Understanding total residential transportation energy usageon Vehicle Usage and Energy Consumption total annual fuelUsage and Energy Consumption Gasoline-equivalent gallons per year total

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

238

Residential Energy Consumption Survey: housing characteristics, 1982  

Science Conference Proceedings (OSTI)

Data in this report cover fuels and their use in the home, appliances, square footage of floor space, heating equipment, thermal characteristics of the housing unit, conservation activities, wood consumption, indoor temperatures, and weather. The 1982 survey included a number of questions on the reasons households make energy conservation improvements to their homes. Results of these questions are presented. Discussion also highlights data pertaining to: trends in home heating fuels, trends in conservation improvements, and characteristics of households whose energy costs are included in their rent.

Thompson, W.

1984-08-01T23:59:59.000Z

239

Los angeles residential energy consumption. Final report  

SciTech Connect

Heating and cooling energy requirements were determined for characteristic single - family, townhouse, low - rise, and high - rise residences in Los Angeles, Calif. Using 1951 as a typical weather year for the area, heating and cooling energy requirements were determined for modified versions of these characteristic residences after both structural and comfort control modifications had been incorporated. Parameters of concern were structural (construction details, dimensions, and materials), energy consumption (heating and cooling equipment, types of fuel and energy used, and appliances and their energy consumption levels), and lifestyle (thermostat set points, relative humidity points, type and number of appliances, daily profile of appliance use, and use of ventilation fans). Annual heating and cooling loads and resultant energy requirements were calculated with the aid of a computer program. This program included subroutines for determining hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The cooling load for the single - family residence was moderately larger than the heating load. Due to increased internal heat generation, the cooling load for the remaining residences was much larger than the heating load. Energy - conserving modifications resulted in the following: single - family residences required 55 percent, townhouse residences required 57 percent, low - rise residences required 55 percent, and high - rise residences required 82 percent of the primary energy consumed by the characteristic structure. Supporting data, illustrative layouts of the residences, and a list of references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-09-01T23:59:59.000Z

240

Is a building with multiple occupancies considered residential...  

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

Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Is a building with multiple occupancies considered residential or commercial? The IECC...

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


241

City of Portland - Streamlined Building Permits for Residential...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon City of Portland - Streamlined Building Permits for Residential Solar Systems (Oregon) SolarWind Permitting Standards...

242

City of Portland - Streamlined Building Permits for Residential...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon City of Portland - Streamlined Building Permits for Residential Solar Systems (Oregon) This is the approved revision of...

243

City of Portland - Streamlined Building Permits for Residential...  

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

Residential Savings For Solar Buying & Making Electricity Heating & Cooling Water Heating Program Information Oregon Program Type Green Building Incentive The City of Portland's...

244

Colorado State Certification of Commercial and Residential Building...  

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

State Certification of Commercial and Residential Building Energy Codes The State of Colorado provides the following information to certify compliance with Title III of the Energy...

245

City of Frisco - Residential and Commercial Green Building Codes |  

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

City of Frisco - Residential and Commercial Green Building Codes City of Frisco - Residential and Commercial Green Building Codes City of Frisco - Residential and Commercial Green Building Codes < Back Eligibility Commercial Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Sealing Your Home Ventilation Insulation Program Info State Texas Program Type Building Energy Code Provider Frisco Department of Planning and Development '''''Note: In the spring on 2012, the city of Frisco was working to update the residential requirements. No official city council action had been taken at the time this summary was updated. Check program web site for current status of updates.''''' The city of Frisco administers a green building program with separate rules

246

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

Gasoline and Diesel Fuel Update (EIA)

Where does RECS square footage data come from? Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of homes with varying characteristics. In-person measurements are vital because many alternate data sources, including property tax records, real estate listings, and, respondent estimates use varying definitions and under-estimate square footage as defined for the purposes of evaluating residential energy consumption.

247

San Francisco residential energy consumption. Final report  

SciTech Connect

Heating and cooling energy requirements were determined by a computerized program for characteristic single-family, townhouse, low - rise, and high - rise residences in San Francisco, Calif., with 1951 selected as being a typical weather year for the area. Energy requirements were calculated using a two - step process. In the first step, hourly heating and cooling loads were calculated for each dwelling unit. In the second step, monthly and annual energy required to meet heating and cooling loads was calculated using specific heating, cooling, and ventilation systems. Examples of lifestyle parameters included in the analysis were thermostat set points, relative humidity set points, type and number of appliances, daily profile of appliance use, and use of ventilation fans. The computer program used to determine heating and cooling loads, or heat delivery / removal requirements, included subroutines for computing hourly load contributions throughout the year due to conduction, convection, air infiltration, radiation, and internal heat gain. The heating load was much greater than the cooling load for single - family and high - rise residences, due to large amounts of infiltration. Heating and cooling loads were similar in the townhouses. The low - rise residences had a cooling load larger than their heating load because of internal heat generation. After structural and comfort control system modifications were made to the residences, heating and cooling energy requirements were again determined. Reduced energy consumption as a result of the modifications were as follows: single - family residences consumed 50 percent, townhouses consumed 50 percent, low - rise residences consumed 57 percent, and high - rise residences consumed 64 percent of the primary energy required by the characteristic structure. Supporting data, illustrative layouts of the residences, and references are included.

Reed, J.E.; Barber, J.E.; White, B.

1976-12-01T23:59:59.000Z

248

Residential energy consumption: An analysis-of-variance study  

SciTech Connect

In this report, tests of statistical significance of five sets of variables with household energy consumption (at the point of end-use) are described. Five models, in sequence, were empirically estimated and tested for statistical significance by using the Residential Energy Consumption Survey of the US Department of Energy, Energy Information Administration. Each model incorporated additional information, embodied in a set of variables not previously specified in the energy demand system. The variable sets were generally labeled as economic variables, weather variables, household-structure variables, end-use variables, and housing-type variables. The tests of statistical significance showed each of the variable sets to be highly significant in explaining the overall variance in energy consumption. The findings imply that the contemporaneous interaction of different types of variables, and not just one exclusive set of variables, determines the level of household energy consumption.

Poyer, D.A.

1992-01-01T23:59:59.000Z

249

Ozone Reductions Using Residential Building Envelopes  

SciTech Connect

Ozone is an air pollutant with that can have significant health effects and a significant source of ozone in some regions of California is outdoor air. Because people spend the vast majority of their time indoors, reduction in indoor levels of ozone could lead to improved health for many California residents. Ozone is removed from indoor air by surface reactions and can also be filtered by building envelopes. The magnitude of the envelope impact depends on the specific building materials that the air flows over and the geometry of the air flow paths through the envelope that can be changes by mechanical ventilation operation. The 2008 Residential Building Standards in California include minimum requirements for mechanical ventilation by referencing ASHRAE Standard 62.2. This study examines the changes in indoor ozone depending on the mechanical ventilation system selected to meet these requirements. This study used detailed simulations of ventilation in a house to examine the impacts of different ventilation systems on indoor ozone concentrations. The simulation results showed that staying indoors reduces exposure to ozone by 80percent to 90percent, that exhaust ventilation systems lead to lower indoor ozone concentrations, that opening of windows should be avoided at times of high outdoor ozone, and that changing the time at which mechanical ventilation occurs has the ability to halve exposure to ozone. Future work should focus on the products of ozone reactions in the building envelope and the fate of these products with respect to indoor exposures.

Walker, Iain S.; Sherman, Max; Nazaroff, William W.

2009-02-01T23:59:59.000Z

250

Lifestyle Factors in U.S. Residential Electricity Consumption  

Science Conference Proceedings (OSTI)

A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral choices associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the associated household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed only {approx}1% unique variance to the 2005 and 2001 models, indicating that lifestyle factors reflecting social and behavioral choices better account for consumption differences than income. This was not surprising given the 4-fold range of energy use at differing income levels. Geographic segmentation of factor scores is illustrated, and shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues.

Sanquist, Thomas F.; Orr, Heather M.; Shui, Bin; Bittner, Alvah C.

2012-03-30T23:59:59.000Z

251

City of Austin - Commercial and Residential Green Building Requirements |  

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

You are here You are here Home » City of Austin - Commercial and Residential Green Building Requirements City of Austin - Commercial and Residential Green Building Requirements < Back Eligibility Commercial Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Bioenergy Solar Lighting Windows, Doors, & Skylights Buying & Making Electricity Water Heating Water Heating Wind Program Info State Texas Program Type Building Energy Code Provider Austin Energy '''''Note: The requirements listed below are current only up to the date of last review (see the top of this page). The City of Austin may also make additional requirements depending on the circumstances of a given project.

252

Energy consumption of building 39  

E-Print Network (OSTI)

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

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

253

The evaluation of retrofit measures in a tall residential building  

SciTech Connect

As part of a joint demonstration effort involving the US Department of Energy (DOE), the US Department of Housing and Urban Development (HUD), Boston Edison Company (BECo), and the Chelsea Housing Authority, Oak Ridge National Laboratory (ORNL) participated in the evaluation of energy and demand saving retrofits for a tall residential building located in Boston. The thirteen story all-electric building underwent window, lighting, and control renovations in December, 1992. annual energy consumption was reduced by 15% and peak demand fell by 17%. Hourly should building consumption data were available for the comparison of pre- and post- conditions and for calibration of a DOE-2.1D simulation model. The analysis found the window retrofit accounted for 90% of total energy savings and 95% of average demand savings, due to reductions in both conduction and infiltration. Benefits from lighting retrofits were low in cooling months and negligible in winter months due to the increase in the demand for electric resistance heating which was proportional to the reduction in lighting capacity. Finally, the simulation model verified that heating system controls had not been used as intended, and that the utility rate structure would not allow cost savings from the original control strategy. These results and other interesting lessons learned are presented.

Abraham, M.M.; McLain, H.A.

1995-07-01T23:59:59.000Z

254

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

E-Print Network (OSTI)

residential electricity consumption, a simplified approach was used to determine plausible future penetration rates

Garbesi, Karina

2012-01-01T23:59:59.000Z

255

User-needs study for the 1993 residential energy consumption survey  

Science Conference Proceedings (OSTI)

During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

Not Available

1993-09-24T23:59:59.000Z

256

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

257

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

258

Residential fuelwood consumption and production in South Dakota, 1994. Forest Service resource bulletin  

SciTech Connect

Reports findings of the latest survey of residential fuelwood consumption and production in South Dakota. Topics examined include the geographic distribution of residential fuelwood consumption and production within the State; the species of trees used for residential fuelwood; the types of wood-burning facilities used; the reasons for burning fuelwood; and the land, ownership, and tree classes from which fuelwood was produced.

May, D.M.

1996-02-23T23:59:59.000Z

259

Energy Efficient Residential Building Code for Arab Countries  

E-Print Network (OSTI)

This paper presents an energy analysis to support the Egyptian efforts to develop a New Energy Code for New Residential Buildings in the Arab Countries. Also, the paper represents a brief summary of the code contents specially, the effectiveness of building envelope and weather data in reducing electrical energy consumption. The impacts of the following parameters were studied namely; walls and roof constructions, window size and glazing type for different geographical locations in the Arab Countries. Two different distinguish weather classification were developed and analyzed and presented in this study, the DDC18.3& DDH 25. The first was developed by the Author to calculate DD using a mathematical model on electronic spread sheet. The second depends on the hourly values for each geographical location. The analysis includes the capitals and major cities representing most of the Arab countries. It was determined that the window to wall ratio (WWR) of 15% minimizes the total annual electricity use for the buildings. The Solar Factors (SF) and Window Orientation Factors (OF) were calculated for the eight wall orientations. The Over All Transfer Value (OTTV) was calculated for each orientation for different variables, e.g. WWR, Glazing Type, Shading, wall color and mid and top floor. The results show that the mass and types of building materials; WWR (15%), glass type and shutters; orientation; wall insulation (25mm), wall solar absorptivity (a=.3); roof insulation and shading effect enhance the thermal performance and reduces the cooling load by 60%.

Hanna, G. B.

2010-01-01T23:59:59.000Z

260

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

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

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


261

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

RECS Terminology RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," "Residential," and "Other" Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in the Residential Energy Consumption Survey (RECS). In addition, the same customer may be classified differently by each of its energy suppliers. Adequacy of Insulation: The respondent's perception of the adequacy of the housing unit's insulation. Aggregate Ratio: The ratio of two population aggregates (totals). For

262

Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)  

Science Conference Proceedings (OSTI)

Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The power system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads based on the largest electrical energy consumers in the residential sector are space heating and cooling, washer and dryer, water heating, lighting, computers and electronics, dishwasher and range, and refrigeration. As the largest loads, these loads provide the highest potential for delivering demand response and reliability services. Many residential loads have inherent flexibility that is related to the purpose of the load. Depending on the load type, electric power consumption levels can either be ramped, changed in a step-change fashion, or completely removed. Loads with only on-off capability (such as clothes washers and dryers) provide less flexibility than resources that can be ramped or step-changed. Add-on devices may be able to provide extra demand response capabilities. Still, operating residential loads effectively requires awareness of the delicate balance of occupants health and comfort and electrical energy consumption. This report is Phase I of a series of reports aimed at identifying gaps in automated home energy management systems for incorporation of building appliances, vehicles, and renewable adoption into a smart grid, specifically with the intent of examining demand response and load factor control for power system support. The objective is to capture existing gaps in load control, energy management systems, and sensor technology with consideration of PHEV and renewable technologies to establish areas of research for the Department of Energy. In this report, (1) data is collected and examined from state of the art homes to characterize the primary residential loads as well as PHEVs and photovoltaic for potential adoption into energy management control strategies; and (2) demand response rules and requirements across the various demand response programs are examined for potential participation of residential loads. This report will be followed by a Phase II report aimed at identifying the current state of technology of energy management systems, sensors, and communication technologies for demand response and load factor control applications

Starke, Michael R [ORNL; Onar, Omer C [ORNL; DeVault, Robert C [ORNL

2011-09-01T23:59:59.000Z

263

DOE/EIA-0314(82) Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

4(82) 4(82) Residential Energy Consumption Survey: Housing Characteri stics 1982 Published: August 1984 U-'VVv*' ^**" ^ Energy Information Administration Washington, D.C. This public ation is availa ble from the Supe rinten dent of Docu ments , U.S. Gove rnme nt Printin g Office (GPO ). Order ing inform ation and purch ase of this and other Energ y Inform ation Admi nistra tion (EIA) public ations may be obtain ed from the GPO or the ElA's Natio nal Energ y Inform ation Cente r (NEIC ). Ques tions on energ y statis tics

264

An analysis of residential energy consumption in a temperate climate  

SciTech Connect

Electrical energy consumption data have been recorded for several hundred submetered residential structures in Middle Tennessee. All houses were constructed with a common energy package.'' Specifically, daily cooling usage data have been collected for 130 houses for the 1985 and 1986 cooling seasons, and monthly heating usage data for 186 houses have been recorded by occupant participation over a seven-year period. Cooling data have been analyzed using an SPSSx multiple regression analysis and results are compared to several cooling models. Heating, base, and total energy usage are also analyzed and regression correlation coefficients are determined as a function of several house parameters.

Clark, Y.Y.; Vincent, W.

1987-06-01T23:59:59.000Z

265

Sample design for the residential energy consumption survey  

SciTech Connect

The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

1994-08-01T23:59:59.000Z

266

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

267

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

268

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

269

Connecticut State Certification of Commercial and Residential Building  

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

Connecticut State Certification of Commercial and Residential Building Connecticut State Certification of Commercial and Residential Building Energy Codes The purpose of this letter is to document that the State of Connecticut has met its stautory requirement with regard to adoption of energy codes that meet or exceed the 2009 International Energy Conservation Code for residential buildings and ASHRAE Standard 90.1-2007 for commercial buildings. Publication Date: Tuesday, July 16, 2013 CT Certification of Building Energy Codes.pdf Document Details Last Name: Cassidy Initials: JV Affiliation: Connecticut Department of Administrative Services, Division of Construction Services Prepared by: prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program Focus: Adoption Building Type:

270

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

Gasoline and Diesel Fuel Update (EIA)

The impact of increasing home size on energy demand The impact of increasing home size on energy demand RECS 2009 - Release date: April 19, 2012 Homes built since 1990 are on average 27% larger than homes built in earlier decades, a significant trend because most energy end-uses are correlated with the size of the home. As square footage increases, the burden on heating and cooling equipment rises, lighting requirements increase, and the likelihood that the household uses more than one refrigerator increases. Square footage typically stays fixed over the life of a home and it is a characteristic that is expensive, even impractical to alter to reduce energy consumption. According to results from EIA's 2009 Residential Energy Consumption Survey (RECS), the stock of homes built in the 1970s and 1980s averages less than

271

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

Gasoline and Diesel Fuel Update (EIA)

Share of energy used by appliances and consumer electronics increases in Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to 10.55 quads, and energy use per household fell 31 percent. Federal energy efficiency standards have greatly reduced consumption for home heating Total energy use in all U.S. homes occupied as primary residences decreased slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the

272

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 83.8 66.1 142.2 130 60 102.3 37 1,309 0.61 1,033 377 Census Region and Division Northeast 18.0 12.5 34.4 175 64 121.7 44 1,942 0.71 1,353 490 New England 4.2 3.0 9.1 173 56 121.9 43 1,991 0.65 1,402 498 Middle Atlantic 13.7 9.5 25.2 175 66 121.7 44 1,926 0.73 1,338 487

273

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 94.0 74.2 169.2 124 54 98.1 38 1,485 0.65 1,172 450 Census Region and Division Northeast 19.2 13.9 40.3 165 57 119.6 45 2,038 0.70 1,471 556 New England 4.5 3.2 9.3 164 56 113.9 45 2,028 0.69 1,408 562 Middle Atlantic 14.7 10.7 31.1 166 57 121.3 45 2,041 0.70 1,491 555

274

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average of Major Energy Sources Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space(2) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 101.5 83.2 168.8 123 61 101.0 39 1,633 0.80 1,338 517 Census Region and Division Northeast 19.7 15.1 34.6 158 69 121.0 48 2,153 0.94 1,644 658 New England 5.3 4.2 9.3 156 70 123.0 48 2,085 0.94 1,647 648 Middle Atlantic 14.4 10.9 25.3 159 68 120.0 48 2,179 0.94 1,643 662

275

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 107.0 85.2 211.3 116 47 92.2 36 1,875 0.76 1,493 583 Census Region and Division Northeast 20.3 14.1 43.7 153 49 106.6 44 2,501 0.81 1,741 715 New England 5.4 4.1 13.2 152 47 115.3 48 2,403 0.75 1,825 768 Middle Atlantic 14.8 10.0 30.5 154 50 103.4 42 2,541 0.83 1,710 696

276

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 96.6 76.5 181.2 131 55 103.6 40 1,620 0.68 1,282 491 Census Region and Division Northeast 19.5 13.8 40.1 173 60 122.4 47 2,157 0.74 1,526 583 New England 5.1 3.7 10.6 168 59 123.1 48 2,094 0.73 1,532 598 Middle Atlantic 14.4 10.1 29.4 175 60 122.1 46 2,180 0.75 1,523 578

277

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 86.3 67.5 144.4 134 63 104.7 39 1,437 0.67 1,123 417 Census Region and Division Northeast 18.3 13.0 35.0 176 65 125.2 46 2,033 0.75 1,443 533 New England 4.3 3.1 9.0 174 61 127.6 46 2,010 0.70 1,471 527 Middle Atlantic 14.0 9.9 26.0 177 67 124.5 46 2,040 0.77 1,435 535

278

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 90.5 70.4 156.8 130 58 100.8 39 1,388 0.62 1,080 416 Census Region and Division Northeast 19.0 13.2 36.8 179 64 124.4 48 1,836 0.66 1,276 494 New England 4.3 3.0 8.4 174 61 121.0 47 1,753 0.62 1,222 475 Middle Atlantic 14.8 10.3 28.4 181 65 125.4 48 1,860 0.67 1,292 499

279

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (millionBtu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 83.1 66.1 144.2 141 64 111.7 40 1,256 0.58 998 356 Census Region and Division Northeast 17.9 12.1 35.1 194 67 131.6 46 2,016 0.70 1,365 475 New England 4.3 2.9 8.3 181 63 123.9 44 2,018 0.71 1,384 492 Middle Atlantic 13.7 9.2 26.7 199 68 134.0 46 2,016 0.69 1,359 470

280

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average of Major Energy Sources Residential Buildings Consumption Expenditures Total per per per per Total Total Floorspace per Square per Household per Square per Household Households Number (billion Building Foot Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) (million Btu) (thousand Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 81.6 65.4 142.5 143 65 114.1 41 1,156 0.53 926 330 Census Region and Division Northeast 17.7 12.3 34.8 199 70 138.3 49 1,874 0.66 1,301 459 New England 4.3 2.9 8.9 197 65 134.4 47 1,964 0.65 1,341 466 Middle Atlantic 13.4 9.3 26.0 200 72 139.5 49 1,846 0.66 1,288 456

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


281

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 94.0 74.2 169.2 124 54 98.1 38 1,485 0.65 1,172 450 Census Region and Division Northeast 19.2 13.9 40.3 165 57 119.6 45 2,034 0.70 1,471 556 New England 4.5 3.2 9.3 164 56 113.9 45 2,023 0.69 1,408 562 Middle Atlantic 14.7 10.7 31.1 166 57 121.3 45 2,037 0.70 1,491 555

282

Building Technologies Program: Tax Incentives for Residential Buildings  

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

Program Program Tax Incentives for Residential Buildings On this page you'll find information about the tax deductions available for purchasing and installing energy-efficient products and constructing new energy-efficient homes. The American Recovery and Reinvestment Act of 2009 offers tax credits for residential energy efficiency measures and renewable energy systems. Many of these credits were originally introduced in the Energy Policy Act of 2005 (EPACT) and amended in the Emergency Economic Stabilization Act of 2008 (P.L. 110-343). Energy Efficiency Tax Credits for Existing Homes Homeowners are eligible for a tax credit of 30% of the cost for improvements to windows, roofing, insulation, and heating and cooling equipment. These improvements must be placed in service from January 1, 2009 through December 31, 2010 and there is a limit of $1,500 for all products. Improvements made in 2008 are not eligible for a tax credit. See the ENERGY STAR® Web site for a detailed listing of eligible improvements.

283

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network (OSTI)

motivations that will affect appliance energy consumption.that target specific appliances, whether air conditioning,California Statewide Residential Appliance Saturation Study.

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

284

Energy Use and Indoor Thermal Environment of Residential Buildings...  

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

Energy Use and Indoor Thermal Environment of Residential Buildings in China Speaker(s): Hiroshi Yoshino Date: December 16, 2003 - 12:00pm Location: 90-3122 The first part of this...

285

Green Residential Building Program (New York) | Open Energy Informatio...  

Open Energy Info (EERE)

with form History Share this page on Facebook icon Twitter icon Green Residential Building Program (New York) This is the approved revision of this page, as well as being...

286

Better Buildings Residential Program Solution Center Demonstration  

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

* Tour: Navigation Options * Tour: Examples * Next Steps * Questions & Feedback 2 eere.energy.gov Overview 3 eere.energy.gov Purpose: Support Residential Energy Efficiency...

287

Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption 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 (9 months ago) Date Updated July 02nd, 2013 (7 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

288

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 buildings/commercial/ref_buildings.html">DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the consumption/residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

289

Impact of conservation measures on Pacific Northwest residential energy consumption. Final report  

SciTech Connect

The objective of this study was to estimate the relationship between residential space conditioning energy use and building conservation programs in the Pacific Northwest. The study was divided into two primary tasks. In the first, the thermal relationship between space conditioning energy consumption under controlled conditions and the physical characteristics of the residence was estimated. In this task, behavioral characteristics such as occupant schedules and thermostat settings were controlled in order to isolate the physical relationships. In the second task, work from the first task was used to calculate the thermal efficiency of a residence's shell. Thermal efficiency was defined as the ability of a shell to prevent escapement of heat generated within a building. The relationship between actual space conditioning energy consumption and the shell thermal efficiency was then estimated. Separate thermal equations for mobile homes, single-family residences, and multi-family residences are presented. Estimates of the relationship between winter electricity consumption for heating and the building's thermal shell efficiency are presented for each of the three building categories.

Moe, R.J.; Owzarski, S.L.; Streit, L.P.

1983-04-01T23:59:59.000Z

290

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

residential transportation energy usage is vital for theDensity on Vehicle Usage and Energy Consumption ReferencesDensity on Vehicle Usage and Energy Consumption UCI-ITS-WP-

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

291

DOE Buildings Performance Database, sample Residential data | OpenEI  

Open Energy Info (EERE)

Buildings Performance Database, sample Residential data Buildings Performance Database, sample Residential data Dataset Summary Description This is a non-proprietary subset of DOE's Buildings Performance Database. Buildings from the cities of Dayton, OH and Gainesville, FL areas are provided as an example of the data in full database. Sample data here is formatted as CSV The Buildings Performance Database will have an API that allows access to the statistics about the data without exposing private information about individual buildings. The data available in this sample is limited due to the nature of the original datasets; the Buildings Performance database combines data from multiple sources to improve overall robustness. Data fields stored in the database can be seen in the BPD taxonomy: http://www1.eere.energy.gov/buildings/buildingsperformance/taxonomy.html

292

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

293

Tax Incentives for Residential Buildings | Department of Energy  

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

Residential Buildings Residential Buildings Tax Incentives for Residential Buildings On this page you'll find information about the tax deductions available for purchasing and installing energy-efficient products and constructing new energy-efficient homes. The American Recovery and Reinvestment Act of 2009 offers tax credits for residential energy efficiency measures and renewable energy systems. Many of these credits were originally introduced in the Energy Policy Act of 2005 (EPACT) and amended in the Emergency Economic Stabilization Act of 2008 (P.L. 110-343). Energy Efficiency Tax Credits for Existing Homes Homeowners are eligible for a tax credit of 30% of the cost for improvements to windows, roofing, insulation, and heating and cooling equipment. These improvements must be placed in service from January 1,

294

Building America Puts Residential Research Results to Work  

DOE Green Energy (OSTI)

Residential buildings use more than 20% of the energy consumed annually in the United States. To help reduce that energy use, the Department of Energy (DOE) and its Building America partners conduct research to develop advanced building energy systems that make homes and communities much more energy-efficient. DOE and its partners design, build, and evaluate attractive, comfortable homes that increase performance with little or no increase in construction costs.

Not Available

2004-08-01T23:59:59.000Z

295

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

Gasoline and Diesel Fuel Update (EIA)

What's new in our home energy use? What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades. Over this period U.S. homes on average have become larger, have fewer occupants, and are more energy-efficient. In 2005, energy use per household was 95 million British thermal units (Btu) of energy compared with 138 million Btu per household in 1978, a drop of 31 percent. Did You Know? Over 50 million U.S. homes have three or more televisions.

296

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

Gasoline and Diesel Fuel Update (EIA)

Air conditioning in nearly 100 million U.S. homes Air conditioning in nearly 100 million U.S. homes RECS 2009 - Release date: August 19, 2011 line chart:air conditioning in U.S. figure dataExcept in the temperate climate regions along the West coast, air conditioners (AC) are now standard equipment in most U.S. homes (Figure 1). As recently as 1993, only 68% of all occupied housing units had AC. The latest results from the 2009 Residential Energy Consumption Survey (RECS) show that 87 percent of U.S. households are now equipped with AC. This growth occurred among all housing types and in every Census region. Wider use has coincided with much improved energy efficiency standards for AC equipment, a population shift to hotter and more humid regions, and a housing boom during which average housing sizes increased.

297

Application and Design of Residential Building Energy Saving in Cold Climates  

E-Print Network (OSTI)

Climate is the one of main considerations for residential building design since the green and energy saving building has become the trend in the building industry. China is actively popularizing high energy-effective and environment harmonious buildings that integrate new techniques, new materials and new equipment. It is absolutely essential to summarize and demonstrate the application of energy-saving building in cold climates for the sake of a favorable economy and directions in the modern building industry. This paper discusses the cold climate features in China vis--vis the residential building layout, construction, building materials, envelope and cost from the aspects of environmental optimization and energy efficiency. The investigation combines indoor microclimates in order to decrease the building life cycle energy consumption. The air wall technology is studied for adoption of cold climate features. The research results through a National Demonstration Building Project (NDBP) show that the exterior wall total heat transfer coefficient is K=0.3w/(m2.k). Moreover, this four-layer dual heat-preservation exterior wall has more conformability and higher energy efficiency. It is completely successful for energy saving building project NDBP that deserves generalization because of adoption of cold climates features. The application of energy saving buildings can achieve social, environmental and economical benefits.

Li, Z.; Li, D.; Mei, S.; Zhang, G.; Liu, J.

2006-01-01T23:59:59.000Z

298

Residential energy-consumption survey: consumption and expenditures, April 1978-March 1979  

SciTech Connect

Tables present data on energy consumption and expenditures for US households during a 12-month period. The total amount of energy consumed by the residential sector from April 1978 through March 1979 is estimated to have been 10,563 trillion Btu with an average household consumption of 138 million Btu. Table 1 summarizes residential energy consumption for all fuels (totals and averages) as wells as total amounts consumed and expenditures for each of the major fuel types (natural gas, electricity, fuel oil, and liquid petroleum gas). Tables 2 and 3 give the number of households and the average energy prices, respectively, for each of the major fuel types. In Tables 4 to 9, totals and averages for both consumption and expenditures are given for each of the major fuels. The consumption of each fuel is given first for all households using the fuel. Then, households are divided into those that use the fuel as their main source of heat and those using the fuel for other purposes. Electricity data (Tables 5 to 7) are further broken down into households that use electricity for air conditioning and those not using it for this purpose. Limited data are also presented on households that use each of the major fuels for heating water. Each of the consumption tables is given for a variety of general household features, including: geographical, structural and physical, and demographic characteristics. Tables 10 to 18 present the same information for the subgroup of households living in single-family owner-occupied detached houses. The third set of tables (19 to 27) is limited to households that paid directly for all of the energy they used. Tables 28 to 36 provide variance estimates for the data.

Not Available

1980-07-01T23:59:59.000Z

299

Regulations establishing energy-conservation standards for new residential buildings  

SciTech Connect

The text of the California Administrative Code, Title 24, Part 6, Article 1 is presented. The energy conservation standards described apply to all new hotels, motels, apartment houses, lodging houses, dwellings, and other residential buildings which are heated or mechanically cooled. Standards for the building envelope, climate control systems and equipment, and water heating are included. (MCW)

Not Available

1980-02-01T23:59:59.000Z

300

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

E-Print Network (OSTI)

CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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

2004-01-01T23:59:59.000Z

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


301

Residential Code Methodology | Building Energy Codes Program  

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

& Offices Consumer Information Building Energy Codes Search Search Search Help Building Energy Codes Program Home News Events About DOE EERE BTO BECP Site Map...

302

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

parking garages. Note: Data are estimates. Statistics for individual fuels are for all buildings using each fuel. ... "Nonresidential Buildings Energy Consumption

303

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

Table 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003: Energy Source and Year: Building Characteristics

304

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the...

305

Residential Energy Consumption Survey: Consumption and expenditures, April 1984 through March 1985: Part 1, National data  

Science Conference Proceedings (OSTI)

This report presents data collected in the 1984 Residential Energy Consumption Survey (RECS) conducted by the Energy Information Administration (EIA). The 1984 RECS was the sixth national survey of US households and their energy suppliers. The purpose of these surveys is to provide baseline information on how households use energy. Households in all types of housing units - single family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public in published reports such as this one and on public-use data tapes. The report presents data on the US consumption and expenditures for residential use of these ''major fuels'' - natural gas, electricity, fuel oil, kerosene, and liquefied petroleum gas (LPG) - from April 1984 through March 1985. These data are presented in tables in the Detailed Statistics section of this report. Except for kerosene and wood fuel, the consumption and expenditures data are based on actual household bills obtained, with the permission of the household, from the companies supplying energy to the household. Purchases of kerosene are based on respondent reports because records of ''cash and carry'' purchases of kerosene for individual households are usually unavailable. Data on the consumption of wood fuel (Table 27) covers the 12-month period ending November 1984 and are based on respondent recall of the amount of wood burned during the 12-month period. Both the kerosene and wood consumption data are subject to memory errors and other reporting errors. This report does not cover household use of motor fuel, which is reported separately.

Not Available

1987-03-04T23:59:59.000Z

306

City of Portland - Streamlined Building Permits for Residential Solar  

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

Residential Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Program Info State Oregon Program Type Green Building Incentive Provider City of Portland The City of Portland's Bureau of Development Services (BDS) developed an electronic permitting process for residential solar energy system installations. With this streamlined, expedited process, solar contractors can submit the project plans and permit application online for residential installations. In order to file the online application, the contractor must first be trained. The City of Portland has staff at the permitting desk trained as solar experts to assist solar contractors who need help filing their permits in person. This process has a turnaround time of approximately 2-3 business days for building permits.

307

DOE/EIA-0262/1 Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

62/1 62/1 Residential Energy Consumption Survey: 1979-1980 Consumption and Expenditures Part I: National Data (including Conservation) April 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division ' 1 7 T Z 8 0 T T 8 - 8 d * N u o f s s a o o y ' S O S ^ - m ( E O Z ) a u o q d a i a i . ' t j a o j S 9 j g ' u o - p s - p A f a s ^ o n p o a ^ a a ^ n d m o o - m o j j a j q B T T B A B ' ( a d B i J - p a a u S B K ) T O O / T 8 - J Q / 3 0 Q p j o q a s n o H r X a A j n s u o - p ^ d m n s u o o O Q ' 3 j o : m o a j a j q B j f ^ A ^ ^ ^ ^ s a a o d a a a A o q B a q ^ j o ' 8 - T Z T O O - C O O - T 9 0 ' Q N ^ 3 3 S O d O ' 9 f r Z Q - V I 3 / 3 0 Q * T 8 6 T € < 7 - 9 i T O O - e 0 0 - 1 9 0 O d O ' ^ / Z O Z O - V i a / a O Q ' 0 8 6 T a u n r * 6 ^ 6 T 3 s n 3 n y o ^ a u n f ' p j o q a s n o H j o s u a a ^ ^ B ^ u o f a d n m s u o o : X a A j n g u o f ^ d m n s u o o X

308

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

Figure 4.4: Power consumption of a desktop PC + 3 LCDChapter 2 Trends in Building Consumption 2.1 UCSD as abreakdown of the energy consumption of the CSE mixed- use

Balaji, Bharathan

2011-01-01T23:59:59.000Z

309

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

parking garages. Web Page: For related information, ... "Commercial Buildings Energy Consumption Survey." 6 Distillate fuel oil, residual fuel oil, ...

310

Research on Building Energy Consumption Situation in Shanghai  

E-Print Network (OSTI)

This paper surveys the present situation of building energy consumption in Shanghai and points out the problems of insufficient energy consumption statistics based on the survey data. We analyze the relationships of energy consumption between the building and the whole society, and between the building and the air conditioning system. Eight public buildings in Shanghai have been chosen for analyzing the characteristics of energy consumption of the air conditioning system in real time.

Yang, X.; Tan, H.

2006-01-01T23:59:59.000Z

311

Residential Buildings Historical Publications reports, data and ...  

U.S. Energy Information Administration (EIA)

Space-Heating Energy Consumption in U.S. Households by Climate Zone, 2001 ... 9.1 Fuel Oil ... Specific questions on this product may be directed to:

312

Residential Buildings Historical Publications reports, data and ...  

U.S. Energy Information Administration (EIA)

Total Energy Consumption in U.S. Households by Four Most Populated States, ... 4.1 Fuel Oil ... Specific questions on this product may be directed to:

313

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....

314

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...

315

NREL Partnerships with External Organizations (Residential Buildings Group)  

Open Energy Info (EERE)

Partnerships with External Organizations (Residential Buildings Group) Partnerships with External Organizations (Residential Buildings Group) Dataset Summary Description This spreadsheet contains a list of all the companies with which NREL's Residential Buildings Group has formed a partnership. The two types of partnership included in this spreadsheet are: Incubator and Test & Evaluation. This list was generated in April 2011. Source NREL Date Released April 07th, 2011 (3 years ago) Date Updated Unknown Keywords incubator NREL partnerships Test & Evaluation Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon members_and_partners_-_nrel_resbldgs_04072011.xlsx (xlsx, 29.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below

316

Summary of Components of the "Best of the Region" Standard for New Non-Residential Buildings  

E-Print Network (OSTI)

Summary of Components of the "Best of the Region" Standard for New Non-Residential Buildings................................................................................................................. 1 2. Non-Residential .......................................................................................................... 1 2.1. Non-Residential Lighting

317

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Relationship of CBECS Coverage to EIA Supply Surveys Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also collects data on total energy supply (sales). For the information on sales totals, a different reporting system is used for each fuel and the boundaries between the different sectors (e.g., residential, commercial, industrial) are drawn differently for each fuel. Background EIA sales data on the different fuels are compiled in individual fuel reports. Annual electricity sales data are currently collected on Form EIA-861, "Annual Electric Utility Report," which is sent to all electric utilities in the United States. Supply data for natural gas are collected on Form EIA-176, "Annual Report of Natural and Supplemental Gas

318

Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 AEO 1997 11.1 10.9 11.1 11.1 11.2 11.2 11.2 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.9 12.0 AEO 1998 10.7 11.1 11.2 11.4 11.5 11.5 11.6 11.7 11.8 11.9 11.9 12.1 12.1 12.2 12.3 AEO 1999 10.5 11.1 11.3 11.3 11.4 11.5 11.5 11.6 11.6 11.7 11.8 11.9 12.0 12.1 AEO 2000 10.7 10.9 11.0 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 12.0

319

Table 18. Total Residential Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Residential Energy Consumption, Projected vs. Actual Residential Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 10.1 10.1 10.1 10.1 10.2 10.2 AEO 1983 9.8 9.9 10.0 10.1 10.2 10.1 10.0 AEO 1984 9.9 9.9 10.0 10.2 10.3 10.3 10.5 AEO 1985 9.8 10.0 10.1 10.3 10.6 10.6 10.9 AEO 1986 9.6 9.8 10.0 10.3 10.4 10.8 10.9 AEO 1987 9.9 10.2 10.3 10.3 10.4 10.5 10.5 10.5 10.5 10.6 AEO 1989* 10.3 10.5 10.4 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 AEO 1990 10.4 10.7 10.8 11.0 11.3 AEO 1991 10.2 10.7 10.7 10.8 10.8 10.8 10.9 10.9 10.9 11.0 11.0 11.0 11.1 11.2 11.2 11.3 11.4 11.4 11.5 11.6 AEO 1992 10.6 11.1 11.1 11.1 11.1 11.1 11.2 11.2 11.3 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.8 11.9 12.0 AEO 1993 10.7 10.9 11.0 11.0 11.0 11.1 11.1 11.1 11.1 11.2 11.2 11.2 11.2 11.3 11.3 11.4 11.4 11.5 AEO 1994 10.3 10.4 10.4 10.4

320

Residential energy consumption and expenditure patterns of black and nonblack households in the United States  

Science Conference Proceedings (OSTI)

Residential energy consumption and expenditures by black and nonblack households are presented by Census region and for the nation based on the Energy Information Administration's 1982-83 Residential Energy Consumption Survey (RECS). Black households were found to have significantly lower levels of electricity consumption at both the national and regional level. Natural gas is the dominant space heating fuel used by black households. Natural gas consumption was typically higher for black households. However, when considering natural gas consumption conditional on natural gas space heating no significant differences were found. 10 refs., 1 fig., 8 tabs.

Vyas, A.D.; Poyer, D.A.

1987-01-01T23:59:59.000Z

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


321

Pacific Northwest Residential Energy Consumption Survey : Sample Selection Activities.  

Science Conference Proceedings (OSTI)

The primary purpose of the 1983 Pacific Northwest Residential Energy Consumption Survey is to obtain a comprehensive data base regarding household energy usage patterns incorporating not only general behavioral indicators of usage (e.g., temperature at which the dwelling is maintained at different times of day during the months of the year in which heating systems are activated or conservation measures effected) but also those characteristics lying further beyond the realm of immediate influence of the household dwellers which directly effect energy consumption (e.g., housing and household characteristics including square footage, number of floors or levels, the number and characteristics of the appliances in the household and household demographics/composition). The data base to be assembled as part of this research effort is also to include households' actual level of energy use for two major fuels (i.e., electricity and natural gas) obtained, with the consent of respondents, from their servicing utility(ies). Two samples have been incorporated in the study. The primary sample - the Regional Sample - will generate a large and comprehensive data base from a representative cross-section of individual households in the Pacific Northwest. A second, Supplementary Sample was incorporated in the survey design to ensure that a sufficient number of households not participating in qualified loan or grant programs, but comparable to participant households on a number of key descriptive characteristics, were included in the assessment. Inclusion of such households in the assessment will permit a formal evaluation of the loan/grant programs to be accomplished. Sampling procedures are described thoroughly.

Louis Harris and Associates

1983-08-03T23:59:59.000Z

322

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

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

Types of Lights > Lit Floorspace In Lit Buildings Types of Lights > Lit Floorspace In Lit Buildings Lit Floorspace in Lit Buildings To analyze the use of different kinds of lighting equipment with data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), building floorspace can be described in three different ways: total floorspace in all buildings; total floorspace in lit buildings; and total lit floorspace in buildings. The latter two measures of floorspace with lighting differ because not all of the floorspace in lit buildings is illuminated (see Table 1): Table 1: Floorspace Denominators Used To Analyze Lighting Equipment Usage (Million Square Feet) 1995 CBECS Total Floorspace in All Buildings: 58, 772 1995 CBECS Total Floorspace in Lit Buildings: 56, 261 1995 CBECS Total Lit Floorspace in Buildings: 50, 303

323

Residential Buildings Historical Publications reports, data and ...  

U.S. Energy Information Administration (EIA)

Water-Heating Energy Consumption in U.S. Households by Four Most Populated States, ... 5.4 Fuel Oil ... Specific questions on this product may be directed to:

324

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Housing Characteristics; Consumption & Expenditures; Microdata; Consumption & Expenditures Tables + EXPAND ALL. Summary Statistics (revised January 2009) PDF (all tables)

325

A new database of residential building measures and estimated costs helps the U.S. building industry determine the most  

E-Print Network (OSTI)

A new database of residential building measures and estimated costs helps the U.S. building at the National Renewable Energy Laboratory (NREL) have developed the National Residential Efficiency Measures with using various measures to improve the efficiency of residential buildings. This database offers

326

Building Technologies Office: National Residential Efficiency...  

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

at all levels. The data from the efficiency measures database is used in the Building Energy Optimization (BEopt) software. Benefits The National Retrofit Measures Database...

327

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.

328

An energy standard for residential buildings in south China  

SciTech Connect

To curb the spiraling demand for building energy use, China's Ministry of Construction has worked at developing and implementing building energy standards, starting with a standard for heated residential buildings in the Cold regions in 1986, followed by a standard for residential buildings in the Hot Summer Cold Winter Region in central China in 2001. In July 2001, a similar effort was started to develop a standard for residential buildings in the Hot Summer Warm Winter Region, comprising of the entirety or large portions of Guangdong, Guangxi, Hainan and Fujian. The target for the standard is to improve the thermal efficiency of buildings by 50 percent compared to current construction, which are typically uninsulated and have single-pane windows. Because of the importance of controlling window solar gain, the standard developed tables specifying the required window thermal transmittance and shading coefficient for differing window-to-wall ratios. The intent of such trade-off table is to permit flexibility in the location and size of windows, as long as their thermal performances meet the requirements of the standard. For further flexibility, the standard provides three methods of compliance: (1) a simple set of prescriptive requirements, (2) a simplified performance calculation, and (3) a detailed computer-based performance calculation using a Custom Budget approach.

Huang, Yu Joe; Lang, Siwei; Hogan, John; Lin, Haiyan

2003-07-01T23:59:59.000Z

329

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were REVISED. These numbers will differ from the numbers in the published report. Tables: HC2 Household Characteristics, Million U.S. Households PDF PDF Tables: HC3 Space Heating, Million U.S. Households PDF PDF Tables: HC4 Air-Conditioning, Million U.S. Households PDF PDF Tables: HC5 Appliances, Million U.S. Households PDF PDF

330

DOE Buildings Performance Database, sample Residential data ...  

Open Energy Info (EERE)

18px" classApple-style-span>The Buildings PerformanceDatabase will havean API that allows access to the statistics about the data without exposing private...

331

Purification of Vegetable Oils Post-Consumption Residential and ...  

Science Conference Proceedings (OSTI)

The viscosity residential treated with clay Tonsil was lower compared to the crude ... Designing a Collaborative System for Socio-Environmental Management of...

332

Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. Homes  

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

24 24 Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. Homes James Lutz, Camilla Dunham-Whitehead, Alex Lekov, and James McMahon Energy Analysis Department Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory University of California Berkeley, CA 94720 February 2004 This work was supported by the Office of Building Technologies and Community Systems of the U.S. Department of Energy, under Contract No. DE-AC03-76SF00098. ABSTRACT In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an

333

Energy consumption in commerical buildings: a comparison with BEPS budgets  

SciTech Connect

Metered energy consumption data have been collected on existing commercial buildings to help establish the proposed Building Energy Performance Standards (BEPS). The search has identified 84 buildings whose metered energy consumption is equal to or less than that proposed for their BEPS budgets and another 7 buildings whose metered consumption is less than 20% above their BEPS budgets. The methodology used to identify the buildings and to collect their metered energy consumption data are described. The data are analyzed and summarized and conclusions are drawn.

1980-09-22T23:59:59.000Z

334

Consumption & Efficiency - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Vehicle Energy Consumption Survey Data; ... The major users are residential and commercial buildings, industry, transportation, and electric power generators.

335

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

336

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

337

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.

338

Assessing and Improving the Accuracy of Energy Analysis for Residential Buildings  

SciTech Connect

This report describes the National Renewable Energy Laboratory's (NREL) methodology to assess and improve the accuracy of whole-building energy analysis for residential buildings.

Polly, B.; Kruis, N.; Roberts, D.

2011-07-01T23:59:59.000Z

339

Impacts of the 2009 IECC for Residential Buildings at State Level...  

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

BUILDING ENERGY CODES PROGRAM Impacts of the 2009 IECC for Residential Buildings at State Level September 2009 Prepared by Pacific Northwest National Laboratory for the U.S....

340

Assessing and Improving the Accuracy of Energy Analysis for Residential Buildings  

SciTech Connect

This report describes the National Renewable Energy Laboratory's (NREL) methodology to assess and improve the accuracy of whole-building energy analysis for residential buildings.

Polly, B.; Kruis, N.; Roberts, D.

2011-07-01T23:59:59.000Z

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


341

Impacts of the 2009 IECC for Residential Buildings at State Level  

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

BUILDING ENERGY CODES PROGRAM Impacts of the 2009 IECC for Residential Buildings at State Level September 2009 Prepared by Pacific Northwest National Laboratory for the U.S....

342

Analysis of institutional mechanisms affecting residential and commercial buildings retrofit  

SciTech Connect

Barriers to energy conservation in the residential and commercial sectors influence (1) the willingness of building occupants to modify their energy usage habits, and (2) the willingness of building owners/occupants to upgrade the thermal characteristics of the structures within which they live or work and the appliances which they use. The barriers that influence the willingness of building owners/occupants to modify the thermal efficiency characteristics of building structures and heating/cooling systems are discussed. This focus is further narrowed to include only those barriers that impede modifications to existing buildings, i.e., energy conservation retrofit activity. Eight barriers selected for their suitability for Federal action in the residential and commercial sectors and examined are: fuel pricing policies that in the short term do not provide enough incentive to invest in energy conservation; high finance cost; inability to evaluate contractor performance; inability to evaluate retrofit products; lack of well-integrated or one-stop marketing systems (referred to as lack of delivery systems); lack of precise or customized information; lack of sociological/psychological incentives; and use of the first-cost decision criterion (expanded to include short-term payback criterion for the commercial sector). The impacts of these barriers on energy conservation are separately assessed for the residential and commercial sectors.

1980-09-01T23:59:59.000Z

343

Residential Energy Consumption Survey Results: Total Energy Consumptio...  

Open Energy Info (EERE)

Consumption Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005)

344

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

4 4 2015 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 180.5 34.9 16.6 1.8 53.3 0.6 66.6 301.0 27.4% Space Cooling 0.0 161.1 161.1 14.7% Water Heating 69.6 5.1 3.1 8.2 75.3 153.1 13.9% Lighting 83.7 83.7 7.6% Refrigeration (5) 71.7 71.7 6.5% Electronics (6) 52.0 52.0 4.7% Wet Cleaning (7) 3.2 51.6 54.7 5.0% Cooking 11.5 1.8 1.8 17.9 31.1 2.8% Computers 30.0 30.0 2.7% Other (8) 10.6 10.6 149.3 160.0 14.6% Total 264.7 40.1 32.2 1.8 74.0 0.6 100% Note(s): Source(s): 759.1 1,098.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

345

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

3 3 2010 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 185.5 38.8 18.7 2.2 59.7 0.7 77.6 323.5 26.3% Space Cooling 0.0 210.2 210.2 17.1% Water Heating 68.7 7.1 4.6 11.7 90.4 170.8 13.9% Lighting 126.0 126.0 10.2% Electronics (5) 96.5 96.5 7.8% Refrigeration (6) 80.7 80.7 6.6% Wet Cleaning (7) 2.9 57.8 60.8 4.9% Cooking 11.4 1.9 1.9 42.6 55.9 4.5% Computers 30.5 30.5 2.5% Other (8) 10.2 10.2 36.3 46.5 3.8% Adjust to SEDS (9) 30.1 30.1 2.4% Total 268.5 45.9 35.3 2.2 83.5 0.7 100% Note(s): Source(s): 878.7 1,231.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. Carbon emissions

346

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

6 6 2035 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Total Percent Space Heating (4) 169.7 22.8 14.1 1.5 38.3 0.5 76.7 285.3 23.1% Water Heating 67.2 2.6 2.1 4.7 84.8 156.7 12.7% Space Cooling 0.0 194.5 194.5 15.7% Electronics (5) 68.1 68.1 5.5% Refrigeration (6) 81.5 81.5 6.6% Lighting 74.3 74.3 6.0% Wet Cleaning (7) 3.5 50.0 53.4 4.3% Cooking 12.2 1.5 1.5 23.2 37.0 3.0% Computers 41.9 41.9 3.4% Other (8) 14.1 14.1 229.6 243.7 19.7% Total 252.7 25.4 31.9 1.5 58.7 0.5 100% Note(s): Source(s): Electricity (3) 924.5 1,236.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

347

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

5 5 2025 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 173.9 27.9 15.2 1.6 44.7 0.6 73.2 292.3 25.1% Space Cooling 0.0 177.2 177.2 15.2% Water Heating 70.2 3.5 2.5 6.0 83.7 159.9 13.8% Lighting 74.1 74.1 6.4% Refrigeration (5) 75.8 75.8 6.5% Electronics (6) 58.7 58.7 5.1% Wet Cleaning (7) 3.3 47.9 51.2 4.4% Cooking 11.7 1.6 1.6 20.8 34.2 2.9% Computers 37.6 37.6 3.2% Other (8) 12.4 12.4 189.1 201.5 17.3% Total 259.1 31.3 31.8 1.6 64.7 0.6 100% Note(s): Source(s): 838.1 1,162.5 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

348

Sustainability Assessment of Residential Building Energy System in Belgrade  

E-Print Network (OSTI)

As a metropolitan city, Belgrade is a dwelling place for about 25% of total citizen number of Republic of Serbia, and at the same time regional cultural, educational, scientific and business center with its own energy production. Belgrade represents a significant consumer of final energy to support the living standard of the occupants. Energy production is based on domestic coal and imported fossil fuels such as oil and natural gas resulting in a high impact to the environment by emission of harmful substances. Multi-criteria method is a basic tool for the sustainability assessment in metropolitan cities. The design of potential options is the first step in the evaluation of buildings. The selection of a number of residential buildings is based on geographic position and type of heating. This paper presents the sustainable assessment of energy system for residential building sector in Belgrade. In order to present the energy system options for residential building sector, three sets of energy indicators: economical, social and environmental are taken into consideration.

Vucicevic, B.; Bakic, V.; Jovanovic, M.; Turanjanin, V.

2010-01-01T23:59:59.000Z

349

Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage  

SciTech Connect

This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energys Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This study attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

Livingston, Olga V.; Cort, Katherine A.

2011-03-03T23:59:59.000Z

350

Commercial Building Electricity Consumption: The Role of Structure...  

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

Commercial Building Electricity Consumption: The Role of Structure Quality, Management, and Contract Incentives Secondary menu About us Press room Contact Us Portfolio Manager...

351

Using occupancy to reduce energy consumption of buildings.  

E-Print Network (OSTI)

??Buildings account for 73% of the total electricity consumption in the US. To get an in depth view of where this energy is consumed within (more)

Balaji, Bharathan

2011-01-01T23:59:59.000Z

352

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

Table 2.9 Commercial Buildings Consumption by Energy Source, Selected Years, 1979-2003 (Trillion Btu) Energy Source and Year

353

Impacts of the 2009 IECC for Residential Buildings at State Level - Minnesota  

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

Minnesota Minnesota September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MINNESOTA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MINNESOTA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Minnesota Summary The energy efficiency requirements in the Minnesota building code are based on the 2006 International Residential Code (IRC) with relatively extensive modifications. The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the 2006 IRC. The most notable

354

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

0 2003 Commercial Primary Energy Consumption Intensities, by Principal Building Type Consumption Percent of Total | Consumption Percent of Total Building Type (thousand BtuSF)...

355

Commercial Buildings Energy Consumption and Expenditures 1992...  

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

1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

356

Validation Methodology to Allow Simulated Peak Reduction and Energy Performance Analysis of Residential Building Envelope with Phase Change Materials: Preprint  

SciTech Connect

Phase change materials (PCM) represent a potential technology to reduce peak loads and HVAC energy consumption in residential buildings. This paper summarizes NREL efforts to obtain accurate energy simulations when PCMs are modeled in residential buildings: the overall methodology to verify and validate Conduction Finite Difference (CondFD) and PCM algorithms in EnergyPlus is presented in this study. It also shows preliminary results of three residential building enclosure technologies containing PCM: PCM-enhanced insulation, PCM impregnated drywall and thin PCM layers. The results are compared based on predicted peak reduction and energy savings using two algorithms in EnergyPlus: the PCM and Conduction Finite Difference (CondFD) algorithms.

Tabares-Velasco, P. C.; Christensen, C.; Bianchi, M.

2012-08-01T23:59:59.000Z

357

Residential Use of Building Integrated Photo Voltaics  

E-Print Network (OSTI)

Building Integrated Photo Voltaics (BIPVs) are devices which are manufactured to replace building components exposed to sufficient sunlight to generate energy. Photo Voltaic Roof tiles are Building Integrated components which can be used instead of traditional roofing materials. The following thesis is focused on comparing traditional, cheaper asphalt roof tiles with Photo Voltaic (PV) roofing tiles in terms of energy cost savings during their respective Net Present Values. The method used for achieving this is computer simulation made possible by software named "Solar Advisory Model" (SAM), developed by National Renewable Energy Laboratories (NREL), to simulate energy output and resultant energy costs saved. The simulations have been run on a prototype example of a model of a dwelling unit's roof area. The simulations have been repeated for 35 cities all over the U.S.A. for 5 different climatic zones on the same prototype example of the dwelling unit. Similarly, the roof area being laid with an array of PV roof tiles has been estimated for coverage by traditional asphalt roof shingles by using data from the RS Means construction costs data. The estimated costs associated with the asphalt roof area have been adjusted to a different set of 35 locations from the 5 climatic zones by using the location factor from RS Means. A statistical analysis was done to analyze the data, net present value of roofing materials being the dependent variable versus climatic zones and roofing material as the independent variables. The statistical model also included CDD (Cooling Degree Days) and HDD (Heating Degree Days) as co-variates. The results indicate that NPV (Net Present Value) of BIPV roof is significantly different from that of asphalt roof. Another statistical analysis was done to determine the effect of climatic zones on energy savings due to the use of BIPV roofing. Energy savings (in US$) was used as a dependent variable, and climatic zone as the independent variable. HDD AND CDD were also included in this model as co-variates. The results of this test indicate that both climatic zone and HDD have an effect on total energy savings.

Balabadhrapatruni, Aswini

2011-05-01T23:59:59.000Z

358

Residential Energy Consumption Survey (RECS) - Data - U.S ...  

U.S. Energy Information Administration (EIA)

ZIP (all tables) Release Date: January 11, 2013 : CE4.1 End-Use Consumption by Fuel Totals, U.S. Homes: XLS: CE4.2 End-Use Consumption by Fuel Totals, Northeast Homes ...

359

National Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry (Fact Sheet), Building America: Technical Highlight, Building Technologies Program (BTP)  

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

Residential Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry 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. This database: * Provides information in a standardized format. * Improves the technical consistency and accuracy of the results of software programs. * Enables experts and stakeholders to view the retrofit information and provide comments to improve data

360

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

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


361

Analytical study of residential building with reflecting roofs  

SciTech Connect

This report presents an analysis of the effect of roof solar reflectance on the annual heating (cooling) loads, peak heating (cooling) loads, and roof temperatures of the residential buildings. The annual heating (cooling) loads, peak heating (cooling) loads, and exterior roof temperatures for a small compact ranch house are computed using the Thermal Analysis Research Program (TARP). The residential models, with minor modifications in the thermal envelope for different locations, are subjected to hourly weather data for one year compiled in the Weather Year for Energy Calculation (WYEC) for in the following locations: Birmingham, Alabama; Bismarck, North Dakota; Miami, Florida; Phoenix, Arizona; Portland, Maine; and, Washington, D.C. Building loads have been determined for a full factorial experimental design that varies the following parameters of the residential model: solar reflectance of the roof, ceiling thermal resistance, attic ventilation, and attic mass framing area. The computed results for annual heating (cooling) loads and peak heating (cooling) loads are illustrated graphically, both globally for all cities and locally for each geographic location. The effect of peak parameter is ranked (highest to lowest) for effect on annual heating and cooling loads, and peak heating and cooling loads. A parametric study plots the building loads as a function of roof solar reflectance for different levels of ceiling thermal resistances and for each geographic location.

Zarr, R.R.

1998-10-01T23:59:59.000Z

362

Fuel consumption: Industrial, residential, and general studies. (Latest citations from the NTIS Bibliographic database). Published Search  

SciTech Connect

The bibliography contains citations concerning fuel consumption in industrial and residential sectors. General studies of fuel supply, demand, policy, forecasts, and consumption models are presented. Citations examine fuel information and forecasting systems, fuel production, international economic and energy activities, heating oils, and pollution control. Fuel consumption in the transportation sector is covered in a separate bibliography. (Contains 250 citations and includes a subject term index and title list.)

Not Available

1994-08-01T23:59:59.000Z

363

Impacts of the 2009 IECC for Residential Buildings at State Level - Delaware  

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

Delaware Delaware September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN DELAWARE BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN DELAWARE Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Delaware Summary Delaware recently adopted the 2009 International Energy Conservation Code (IECC). The code becomes effective July 1, 2010. Overview of the 2009 IECC The IECC scope includes residential single-family housing and multifamily housing three stories or less above-

364

Impacts of the 2009 IECC for Residential Buildings at State Level - New Hampshire  

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

Hampshire Hampshire September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW HAMPSHIRE BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW HAMPSHIRE Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in New Hampshire Summary New Hampshire has adopted the 2009 International Energy Conservation Code (IECC). The code becomes effective October 1, 2009. Overview of the 2009 IECC The IECC scope includes residential single-family housing and multifamily housing three stories or less above-

365

Commercial Buildings Energy Consumption and Expenditures 1992 - Executive  

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

& Expenditures > Executive Summary & Expenditures > Executive Summary 1992 Consumption & Expenditures Executive Summary Commercial Buildings Energy Consumption and Expenditures 1992 presents statistics about the amount of energy consumed in commercial buildings and the corresponding expenditures for that energy. These data are based on the 1992 Commercial Buildings Energy Consumption Survey (CBECS), a national energy survey of buildings in the commercial sector, conducted by the Energy Information Administration (EIA) of the U.S. Department of Energy. Figure ES1. Energy Consumption is Commercial Buidings by Energy Source, 1992 Energy Consumption: In 1992, the 4.8 million commercial buildings in the United States consumed 5.5 quadrillion Btu of electricity, natural gas, fuel oil, and district heat. Of those 5.5 quadrillion Btu, consumption of site electricity accounted for 2.6 quadrillion Btu, or 48.0 percent, and consumption of natural gas accounted for 2.2 quadrillion Btu, or 39.6 percent. Fuel oil consumption made up 0.3 quadrillion Btu, or 4.0 percent of the total, while consumption of district heat made up 0.4 quadrillion Btu, or 7.9 percent of energy consumption in that sector. When the energy losses that occur at the electricity generating plants are included, the overall energy consumed by commercial buildings increases to about 10.8 quadrillion Btu (Figure ES1).

366

Impacts of the 2009 IECC for Residential Buildings at State Level - Wisconsin  

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

Wisconsin Wisconsin September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN WISCONSIN BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN WISCONSIN Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Wisconsin Summary The energy efficiency requirements in the Wisconsin building code are the 2006 International Energy Conservation Code (IECC) with amendments that increase stringency. The 2009 IECC contains several major improvements in energy efficiency over the 2006 IECC and the Wisconsin code for the total building energy

367

Buildings Energy Data Book: 2.6 Residential Home Improvement  

Buildings Energy Data Book (EERE)

1 1 Value of Residential Building Improvements and Repairs, by Sector ($2010 Billion) (1) Total 1980 72.2 35.2 107.4 1985 82.3 65.3 147.6 1990 91.4 85.5 176.9 1995 105.8 63.8 169.6 2000 138.2 52.7 191.0 2003 156.2 51.9 208.0 2004 169.2 57.9 227.1 2005 179.0 59.7 238.6 2006 187.4 57.2 244.6 2007 (2) 178.7 57.0 235.7 Note(s): Source(s): Improvements Maintenance and Repairs 1) Improvements includes additions, alterations, reconstruction, and major replacements. Repairs include maintenance. 2) The US Census Bureau discontinued the Survey of Residential Alterations and Repairs (SORAR) after 2007. DOC, Historic Expenditures for Residential Properties by Property Type: Quarterly 1962-2003 (Old structural purposes) for 1980-2000; DOC, Historic Expenditures for Residential Proerties by Property Type: Quarterly 2003-2007 (New structural purposes) for 1995-2007; and EIA, Annual Energy Review

368

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

369

Energy Efficiency Standards for New Federal Low-Rise Residential Buildings  

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

Standards for New Federal Low-Rise Residential Standards for New Federal Low-Rise Residential Buildings Energy Efficiency Standards for New Federal Low-Rise Residential Buildings October 8, 2013 - 1:57pm Addthis DOE recently updated the requirements for energy efficiency in newly constructed federal buildings. The new rule, 10 CFR 435, Subpart A: Energy Efficiency Standards for New Federal Low-Rise Residential Buildings, applies to residential buildings (one- and two-family dwellings as well as multifamily buildings three stories or less in height) for which design for construction began on or after August 10, 2012. The rule updates the baseline standard in 10 CFR 435, Subpart A to the 2009 IECC. New federal residential buildings are required (effective August 10, 2012) to achieve the 2009 IECC level of energy efficiency or 30% greater

370

Building Energy Software Tools Directory : HVAC Residential Load...  

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

HVAC Residential Load Calcs HD for the iPad Back to Tool HVAC Residential Load Calcs HD screenshot HVAC Residential Load Calcs HD screenshot HVAC Residential Load Calcs HD...

372

Residential Requirements of the 2009 IECC | Building Energy Codes Program  

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

09 IECC 09 IECC This training includes an overview of the residential requirements of the 2009 International Energy Conservation Code. Estimated Length: 1 hour, 9 minutes Presenters: Todd Taylor, Pacific Northwest National Laboratory Original Webcast Date: Tuesday, June 16, 2009 - 13:00 CEUs Offered: 1.0 AIA/CES LU (HSW); .10 CEUs towards ICC renewal certification. Course Type: Video Downloads: Video Transcript Presentation Slides Video Watch on YouTube Visit the BECP Online Training Center for instructions on how to obtain a certificate of completion. Building Type: Residential Focus: Compliance Code Version: 2009 IECC Target Audience: Architect/Designer Builder Code Official Contractor Engineer Federal Official State Official Contacts Web Site Policies U.S. Department of Energy

373

Evaluation of High Performance Residential Housing Technology.  

E-Print Network (OSTI)

??The energy consumption of residential buildings in Canada accounts for 17% of national energy use (Trudeau, 2005). Production homes represent a considerable portion of new (more)

Grin, Aaron

2008-01-01T23:59:59.000Z

374

Heating Degree Day Data Applied to Residential Heating Energy Consumption  

Science Conference Proceedings (OSTI)

Site-specific total electric energy and heating oil consumption for individual residences show a very high correlation with National Weather Service airport temperature data when transformed to heating degree days. Correlations of regional total ...

Robert G. Quayle; Henry F. Diaz

1980-03-01T23:59:59.000Z

375

Infiltration and Natural Ventilation Model for Whole-Building Energy Simulation of Residential Buildings: Preprint  

DOE Green Energy (OSTI)

The infiltration term in the building energy balance equation is one of the least understood and most difficult to model. For many residential buildings, which have an energy performance dominated by the envelope, it can be one of the most important terms. There are numerous airflow models; however, these are not combined with whole-building energy simulation programs that are in common use in North America. This paper describes a simple multizone nodal airflow model integrated with the SUNREL whole-building energy simulation program.

Deru, M.; Burns, P.

2003-03-01T23:59:59.000Z

376

Residential Energy Consumption Survey (RECS) - Data - U.S ...  

U.S. Energy Information Administration (EIA)

Floorspace - Living Space PDF (all tables) Total Floorspace : All, Heated, ... Apartments in buildings with 5 or more units use less energy than other home types

377

Building Technologies Research and Integration Center Reducing the energy consumption of the nation's buildings is  

E-Print Network (OSTI)

2/21/2011 Building Technologies Research and Integration Center Reducing the energy consumption of the nation's buildings is essential for achieving a sustainable clean energy future and will be an enormous challenge. Buildings account for 40% of the nation's carbon emissions and the consumption of 40% of our

Oak Ridge National Laboratory

378

DOE/EIA-0207/3 Residential Energy Consumption Survey: Conservation  

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

3 3 Residential Energy Consumption Survey: Conservation February 1980 U.S. Department of Energy Energy Information Adminstration Assistant Administrater for Program Development Other NEICS Reports Preliminary Conservation Tables from the National Interim Energy Consumption Survey, August 1979, DOE/EIA-0193/P Characteristics of the Housing Stocks and Households: Preliminary Findings from the National Interim Energy Consumption Survey, October 1979, DOETllA-0199/P The above reports are available from the following address; U.S. Department of Energy Technical Information Center Attn:; EIA Coordinator P.O. Box 62 Oak Ridge, TN 37830 Residential Energy Consumption Survey; Characteristics of the Housing Stock and Households, DOE/EIA-0207/2, GPO Stock No,, 061-003-00093-2; $4.25

379

Potential for energy technologies in residential and commercial buildings  

SciTech Connect

The residential-commercial energy technology model was developed as a planning tool for policy analysis in the residential and commercial building sectors. The model and its procedures represent a detailed approach to estimating the future acceptance of energy-using technologies both in new construction and for retrofit into existing buildings. The model organizes into an analytical framework all relevant information and data on building energy technology, building markets, and government policy, and it allows for easy identification of the relative importance of key assumptions. The outputs include estimates of the degree of penetration of the various building energy technologies, the levels of energy use savings associated with them, and their costs - both private and government. The model was designed to estimate the annual energy savings associated with new technologies compared with continued use of conventional technology at 1975 levels. The amount of energy used under 1975 technology conditions is referred to as the reference case energy use. For analytical purposes the technologies were consolidated into ten groupings: electric and gas heat pumps; conservation categories I, II, and III; solar thermal (hot water, heating, and cooling); photovoltaics, and wind systems. These groupings clearly do not allow an assessment of the potential for individual technologies, but they do allow a reasonable comparison of their roles in the R/C sector. Assumptions were made regarding the technical and economic performances of the technologies over the period of the analysis. In addition, the study assessed the non-financial characteristics of the technologies - aesthetics, maintenance complexity, reliability, etc. - that will also influence their market acceptability.

Glesk, M.M.

1979-11-01T23:59:59.000Z

380

Assessment of photovoltaic application on a residential building in Gvle, Sweden.  

E-Print Network (OSTI)

?? The paper presents a PV-based electricity generation system of residential building located at Norra Fiskargatan in Gvle, Sweden, and aims to examine the environmental (more)

Wang, Kangkang

2013-01-01T23:59:59.000Z

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


381

Simulering av energieffektiviserande tgrder fr sm- och flerbostadshus; Simulation of energy efficiently measures for residential buildings.  

E-Print Network (OSTI)

?? The purpose of this project was to evaluate how energy efficiently some of JMs residential buildings can become in standard production. What kind of (more)

Jakobsson, Niklas

2007-01-01T23:59:59.000Z

382

Impacts of the 2009 IECC for Residential Buildings at State Level - Virginia  

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

Virginia Virginia September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN VIRGINIA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN VIRGINIA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Virginia Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IRC and IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of

383

Impacts of the 2009 IECC for Residential Buildings at State Level - New York  

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

York York September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW YORK BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW YORK Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in New York Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2004 IECC Supplement with amendments. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in

384

Impacts of the 2009 IECC for Residential Buildings at State Level - Michigan  

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

Michigan Michigan September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MICHIGAN BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MICHIGAN Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Michigan Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2003 IRC with considerable amendments. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in

385

Impacts of the 2009 IECC for Residential Buildings at State Level - Missouri  

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

Missouri Missouri September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MISSOURI BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MISSOURI Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Missouri Summary Missouri currently does not have a mandatory energy efficiency code. The 2009 International Energy Conservation Code (IECC) would substantially improve energy efficiency in Missouri homes. A limited analysis of the impact of the 2009 IECC resulted in estimated savings of $353 to $565 a year for an average

386

Impacts of the 2009 IECC for Residential Buildings at State Level - Texas  

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

Texas Texas September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN TEXAS BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN TEXAS Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Texas Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2001 IECC Supplement. The most notable changes are improved duct sealing and efficient lighting requirements. An energy analysis comparing the 2009 IECC to the state code

387

Impacts of the 2009 IECC for Residential Buildings at State Level - Nebraska  

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

Nebraska Nebraska September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEBRASKA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEBRASKA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Nebraska Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2003 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $236 a year

388

Impacts of the 2009 IECC for Residential Buildings at State Level - Utah  

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

Utah Utah September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN UTAH BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN UTAH Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Utah Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $219 to

389

Impacts of the 2009 IECC for Residential Buildings at State Level - Oklahoma  

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

Oklahoma Oklahoma September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN OKLAHOMA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN OKLAHOMA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Oklahoma Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2003 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $266 to

390

Impacts of the 2009 IECC for Residential Buildings at State Level - Tennessee  

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

Tennessee Tennessee September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN TENNESSEE BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN TENNESSEE Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Tennessee Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2003 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $231 to

391

Impacts of the 2009 IECC for Residential Buildings at State Level - Mississippi  

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

Mississippi Mississippi September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MISSISSIPPI BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN MISSISSIPPI Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Mississippi Summary Mississippi currently does not have a mandatory energy efficiency code. The 2009 International Energy Conservation Code (IECC) would substantially improve energy efficiency in Mississippi homes. A limited analysis of the impact of the 2009 IECC resulted in estimated savings of $173 to $250 a year for an average

392

Impacts of the 2009 IECC for Residential Buildings at State Level - Nevada  

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

Nevada Nevada September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEVADA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEVADA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Nevada Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $205 to

393

Impacts of the 2009 IECC for Residential Buildings at State Level - New Jersey  

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

Jersey Jersey September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW JERSEY BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW JERSEY Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in New Jersey Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IECC with extensive amendments. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in

394

Impacts of the 2009 IECC for Residential Buildings at State Level - Alaska  

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

Alaska Alaska September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ALASKA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ALASKA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Alaska Summary The 2009 International Energy Conservation Code (IECC) contains several improvements in energy efficiency over the current state code, the 2006 IECC with amendments. The most notable changes are improved duct sealing and efficient lighting requirements. A comparison of the overall impacts on energy use for these two

395

Impacts of the 2009 IECC for Residential Buildings at State Level - Iowa  

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

Iowa Iowa September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN IOWA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN IOWA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Iowa Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $245 to

396

Impacts of the 2009 IECC for Residential Buildings at State Level - Rhode Island  

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

Rhode Island Rhode Island September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN RHODE ISLAND BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN RHODE ISLAND Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Rhode Island Summary Rhode Island has adopted the 2009 International Energy Conservation Code (IECC). Overview of the 2009 IECC The IECC scope includes residential single-family housing and multifamily housing three stories or less above- grade intended for permanent living (hotel/motel is not "residential"). The code applies to new buildings and

397

Impacts of the 2009 IECC for Residential Buildings at State Level - Illinois  

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

Illinois Illinois September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ILLINOIS BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ILLINOIS Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Illinois Summary Illinois recently adopted the 2009 International Energy Conservation Code (IECC). Overview of the 2009 IECC The IECC scope includes residential single-family housing and multifamily housing three stories or less above- grade intended for permanent living (hotel/motel is not "residential"). The code applies to new buildings and

398

1999 Commercial Buildings Energy Consumption Survey Detailed Tables  

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

Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels................................................................................................... 145 Table C6. Expenditures by Census Region for Sum of Major Fuels......................... 150 Table C7. Consumption and Gross Energy Intensity by Building Size for Sum of

399

Energy and air quality implications of passive stack ventilation in residential buildings  

SciTech Connect

Ventilation requires energy to transport and condition the incoming air. The energy consumption for ventilation in residential buildings depends on the ventilation rate required to maintain an acceptable indoor air quality. Historically, U.S. residential buildings relied on natural infiltration to provide sufficient ventilation, but as homes get tighter, designed ventilation systems are more frequently required particularly for new energy efficient homes and retrofitted homes. ASHRAE Standard 62.2 is used to specify the minimum ventilation rate required in residential buildings and compliance is normally achieved with fully mechanical whole-house systems; however, alternative methods may be used to provide the required ventilation when their air quality equivalency has been proven. One appealing method is the use of passive stack ventilation systems. They have been used for centuries to ventilate buildings and are often used in ventilation regulations in other countries. Passive stacks are appealing because they require no fans or electrical supply (which could lead to lower cost) and do not require maintenance (thus being more robust and reliable). The downside to passive stacks is that there is little control of ventilation air flow rates because they rely on stack and wind effects that depend on local time-varying weather. In this study we looked at how passive stacks might be used in different California climates and investigated control methods that can be used to optimize indoor air quality and energy use. The results showed that passive stacks can be used to provide acceptable indoor air quality per ASHRAE 62.2 with the potential to save energy provided that they are sized appropriately and flow controllers are used to limit over-ventilation.

Mortensen, Dorthe Kragsig; Walker, Iain S.; Sherman, Max

2011-01-01T23:59:59.000Z

400

Energy Performance Comparison of Heating and Air Conditioning Systems for Multi-Family Residential Buildings  

SciTech Connect

The type of heating, ventilation and air conditioning (HVAC) system has a large impact on the heating and cooling energy consumption in multifamily residential buildings. This paper compares the energy performance of three HVAC systems: a direct expansion (DX) split system, a split air source heat pump (ASHP) system, and a closed-loop water source heat pump (WSHP) system with a boiler and an evaporative fluid cooler as the central heating and cooling source. All three systems use gas furnace for heating or heating backup. The comparison is made in a number of scenarios including different climate conditions, system operation schemes and applicable building codes. It is found that with the minimum code-compliant equipment efficiency, ASHP performs the best among all scenarios except in extremely code climates. WSHP tends to perform better than the split DX system in cold climates but worse in hot climates.

Wang, Weimin; Zhang, Jian; Jiang, Wei; Liu, Bing

2011-07-31T23:59:59.000Z

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


401

Buildings and Energy in the 80's -- Overview  

U.S. Energy Information Administration (EIA)

Overview Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and ...

402

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

403

Residential Energy Consumption Survey (RECS) - Data - U.S ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, ... 25% of households living in mobile homes consumed less than 6,059 kWh and 75% consumed more than that amount. ...

404

Energy consumption metrics of MIT buildings  

E-Print Network (OSTI)

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

Schmidt, Justin David

2010-01-01T23:59:59.000Z

405

2003 CBECS Building Characteristics and Consumption and ...  

U.S. Energy Information Administration (EIA)

MAINT8 Regular HVAC maintenance 188- 188 $YESNO. EMCS8 Energy management and control system 190- 190 $YESNO. ADJWT8 Final full sample building ...

406

Domestic Hot Water Consumption in Four Low-Income Apartment Buildings  

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

Domestic Hot Water Consumption in Four Low-Income Apartment Buildings Title Domestic Hot Water Consumption in Four Low-Income Apartment Buildings Publication Type Conference...

407

APPLICATION OF DOE-2 TO RESIDENTIAL BUILDING ENERGY PERFORMANCE STANDARDS  

SciTech Connect

One important requirement emerging from national and international efforts to shift from our present energy-intensive way of life to an energy conservation mode is the development of standards for assessing and regulating energy use and performance in buildings. This paper describes a life-cycle-cost approach to Building Energy Performance Standards (BEPS) calculated by using DOE-2: The Energy Use Analysis of Buildings Computer Program. The procedure outlined raises important questions that must be answered before the energy budgets devised from this approach can be reliably used as a policy tool, The DOE-2 program was used to calculate the energy consumption in prototype buildings and in their modified versions in which energy conservation measures were effected. The energy use of a modified building with lowest life-cycle-cost determines the energy budget for all buildings of that type. These calculations were based on a number of assumptions that may be controversial. These assumptions regard accuracy of the model, comparison of the DOE-2 program with other programs, stability of the energy budget, and sensitivity of the results to variations in the building parameters.

Lokmanhekim, M.; Goldstein, D. B.; Levine, M. D.; Rosenfield, A. H.

1980-10-01T23:59:59.000Z

408

Residential energy-consumption survey: housing characteristics, 1981  

SciTech Connect

Data in this report cover fuels and their use in the home, appliances, square footage of floor space, heating equipment, thermal characteristics of the housing unit, conservation activities, and consumption of wood. Collected for the first time are data related to indoor temperatures and the use of air conditioning. A unique feature of the 1981 survey is an increased sampling of low-income households funded by the Social Security Administration to provide them information for the Low-Income Home Energy Assistance Program. Discussion highlights data pertaining to these topics: changes in home heating fuel, secondary heating, indoor temperatures, features of new homes, use of air conditioning, use of solar collectors, and wood consumption.

Thompson, W.

1983-08-01T23:59:59.000Z

409

Residential energy consumption survey. Consumption patterns of household vehicles, supplement: January 1981-September 1981  

Science Conference Proceedings (OSTI)

Information on the fuel consumption characteristics on household vehicles in the 48 contiguous States and the District of Columbia is presented by monthly statistics of fuel consumption, expenditures, miles per gallon, and miles driven.

Not Available

1983-02-01T23:59:59.000Z

410

Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go Commercial BuildingsAvailable 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. PDF Distributed Generation System Characteristics and Costs in the Buildings Sector Released: August 7, 2013 EIA works with technology experts to project the cost and performance of future residential and commercial sector photovoltaic (PV) and small wind installations rather than developing technology projections in-house. These reports have always been available by request. By providing the reports

411

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

412

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

413

Consumption & Efficiency - Data - U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey Data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS)

414

Residential energy consumption of low-income and elderly households: how non-discretionary is it  

SciTech Connect

The energy literature is replete with opinions that the poor and elderly have cut their residential energy consumption to a minimum. This paper challenges such conclusions through an analysis of data on a sample of 319 Decatur, Illinois homeowners. The data include utility bill histories and survey information on housing characteristics, energy-related behaviors, attitudes, and socio-economic and demographic characteristics. It shows that residential energy consumption per square foot of living space is significantly higher for the elderly and poor than for other groups of Decatur homeowners. By breaking energy use into seasonal components, the paper estimates consumption for various household uses. This information, combined with the survey data, suggests that both subgroups heat and cool their homes inefficiently, due in part to the conditions of their homes, but also due to energy-related behaviors. The public policy implications of the findings are discussed.

Brown, M.A.; Rollinson, P.A.

1984-01-01T23:59:59.000Z

415

EMPS-2.1 Computer Program for Residential Building Energy Analysis, Engineering Manual  

Science Conference Proceedings (OSTI)

Evaluating the projected energy efficiency of residential building designs and equipment options requires a sophisticated analytic methodology. Techniques described in this manual analyze building thermal loads, heating and cooling systems, water heaters, and life-cycle costs and electric rates.

1988-02-08T23:59:59.000Z

416

AB 758 COMPREHENSIVE ENERGY EFFICIENCY PROGRAM FOR EXISTING RESIDENTIAL AND NONRESIDENTIAL BUILDINGS  

E-Print Network (OSTI)

1 AB 758 COMPREHENSIVE ENERGY EFFICIENCY PROGRAM FOR EXISTING RESIDENTIAL AND NONRESIDENTIAL homes energy efficient through Title 24 Part 6 Building Energy Efficiency Standards (Standards for Energy Efficiency in Existing Buildings (AB 549 Report), the Energy Commission made a series

417

Residential Energy Consumption Survey: Consumption and expenditures, April 1984 through March 1985: Part 2, Regional data. [Contains glossary  

SciTech Connect

Included here are data at the Census region and division level on consumption of and expenditures for the major fuels used in residential households - electricity, natural gas, fuel oil/kerosene, and liquefied petroleum gas (LPG). Data are also presented on wood consumption. Section 1 of this report contains data on the average amount of energy consumed per household for space heating in 1984 and the corresponding expenditures. Sections 2 through 7 summarize the energy consumption and expenditure patterns. Appendices A through D contain information on how the survey was conducted, estimates of the size of the housing unit in square feet and the quality of the data. Procedures for calculating relative standard errors (RSE) are located in Appendix C, Quality of the Data. Procedures for estimating the end-use statistics are located in Appendix D. Census and weather maps, and related publications are located in Appendices E through G.

Not Available

1987-05-13T23:59:59.000Z

418

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

1 1 Carbon Dioxide Emissions for U.S. Residential Buildings, by Year (Million Metric Tons) (1) Residential U.S. Site Res.% Res.% Fossil Electricity Total Total of Total U.S. of Total Global 1980 385 525 909 4723 19% 4.9% 1981 361 518 878 4601 19% 4.8% 1982 359 511 870 4357 20% 4.8% 1983 340 525 865 4332 20% 4.7% 1984 349 535 883 4561 19% 4.6% 1985 351 549 901 4559 20% 4.6% 1986 343 551 894 4564 20% 4.5% 1987 346 574 920 4714 20% 4.5% 1988 367 603 970 4939 20% 4.6% 1989 374 606 980 4983 20% 4.6% 1990 340 624 963 5039 19% 4.5% 1991 347 633 980 4996 20% 4.6% 1992 357 624 981 5093 19% 4.6% 1993 372 667 1040 5185 20% 4.8% 1994 364 668 1032 5258 20% 4.7% 1995 361 678 1039 5314 20% 4.7% 1996 389 710 1099 5501 20% 4.9% 1997 371 719 1090 5575 20% 4.7% 1998 339 759 1097 5622 20% 4.8% 1999 360 762 1122 5682 20% 4.8% 2000 380 805 1185 5867 20% 5.0% 2001 367 805 1172 5759 20% 4.9% 2002 368 835 1204 5809 21% 4.9% 2003 383 847 1230

419

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million U.S. Households Presents data describing the types of heating fuel and equipment used for main and secondary heating purposes. PDF Tables: HC3 Air-Conditioning, Million U.S. Households Presents data describing selected household characteristics including location, number of rooms and area cooled and air-conditioning usage. PDF

420

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - Housing Characteristics PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.1.1) PDF XLS Average Floorspace All Housing Units (HC1.1.2) PDF XLS Single Family and Mobile Homes (HC1.1.3) PDF XLS Apartments (HC1.1.4) PDF XLS Usage Indicators Heated Floorspace (HC1.3) PDF XLS Cooled Floorspace (HC1.4) PDF XLS Floorspace - Living Space PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.2.1) PDF XLS Average Floorspace All Housing Units (HC1.2.2) PDF XLS Single Family and Mobile Homes (HC1.2.3) PDF XLS Apartments (HC1.2.4) PDF XLS

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


421

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

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > 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

422

Residential Energy Consumption Survey (RECS) - Data - U.S. Energy  

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

2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF Midwest Census Region PDF South Census Region PDF West Census Region PDF Tables HC2: Household Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Housing Unit PDF Type of Owner-Occupied Housing Unit PDF Type of Rented Housing Unit PDF

423

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > 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

424

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

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

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > 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

425

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Building Type Definitions Building Type Definitions In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace at the time of the interview. Thus, a building assigned to a particular principal activity category may be used for other activities in a portion of its space or at some time during the year. In the 1999 and 2003 CBECS, respondents were asked to place their building into a sub-category that was a more specific activity than has been collected in prior surveys. This was done to ensure the quality of the data; after data collection, the subcategories were combined

426

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

427

Evaluation on Cooling Energy Load with Varied Envelope Design for High-Rise Residential Buildings in Malaysia  

E-Print Network (OSTI)

With the development of the economy in the recent years, Malaysia is maintaining a high economic growth and therefore, its energy consumption increases dramatically. Residential buildings are characterized by being envelope-load dominated buildings, hence are greatly influenced by the outside climatic conditions. Due to the hot humid climate of Malaysia, air conditioning system accounts for more than 45% of the total electricity used in the residential sector which is required to remove substantial amount of gained heat due to poor thermal envelope performance. This paper uses Ecotect software to analyze the impact of building envelope design on energy cooling load for residential building in Penang, Malaysia, which include area ratio of window to floor, exterior wall thermal insulation, and several kinds of shading system. This paper describes an integrated passive design approach to reduce the cooling requirement for high-rise apartments through an improved building envelope design. Comparing with the other passive strategies investigated in this paper, the results indicated that exterior wall thermal insulation is the best strategy to decrease both annual cooling energy load and peak cooling load which achieved a reduction of 10.2% and 26.3% respectively. However, the other passive strategies applied also have some marginal effect on decreasing the cooling load.

Al-Tamimi, N.; Fadzil, S.

2010-01-01T23:59:59.000Z

428

,"South Dakota Natural Gas Residential Consumption (MMcf)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3010sd2m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3010sd2m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:21:56 PM" "Back to Contents","Data 1: South Dakota Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010SD2" "Date","South Dakota Natural Gas Residential Consumption (MMcf)" 32523,1762 32554,1865 32582,1639 32613,1036 32643,562

429

,"South Carolina Natural Gas Residential Consumption (MMcf)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3010sc2m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3010sc2m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:21:55 PM" "Back to Contents","Data 1: South Carolina Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010SC2" "Date","South Carolina Natural Gas Residential Consumption (MMcf)" 32523,3768 32554,3029 32582,3327 32613,1875

430

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

E-Print Network (OSTI)

of Commercial Building Energy Consumption in China Nan Zhou,Commercial Building Energy Consumption in China* Nan Zhou, 1whether and how the energy consumption trend can be changed

Zhou, Nan

2008-01-01T23:59:59.000Z

431

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book (EERE)

7 7 2009 Methane Emissions for U.S. Residential Buildings Energy Production, by Fuel Type Fuel Type Petroleum 1.0 Natural Gas 38.8 Coal 0.0 Wood 2.6 Electricity (2) 51.6 Total 94.0 Note(s): Source(s): MMT CO2 Equivalent (1) 1) Sources of emissions include oil and gas production, processing, and distribution; coal mining; and utility and site combustion. Carbon Dioxide equivalent units are calculated by converting methane emissions to carbon dioxide emissions (methane's global warming potential is 23 times that of carbon dioxide). 2) Emissions of electricity generators attributable to the buildings sector. EIA, Emissions of Greenhouse Gases in the U.S. 2009, Mar. 2011, Table 18, p. 37 for energy production emissions; EPA, Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2009, April 2011, Table 3-10, p. 3-9 for stationary combustion emissions; and EIA, Annual Energy Outlook 2012 Early Release,

432

Building Energy Software Tools Directory: HVAC Residential Load...  

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

HVAC Residential Load Calcs HD for the iPad Carmel Software logo HVAC Residential Load Calcs HD is a comprehensive HVAC heating and cooling load calculation application for the...

433

Feedback as a means of decreasing residential energy consumption. Report PU/CES 34  

SciTech Connect

When residential units are analyzed in human factor terms, it is apparent that the consumption level feedback (typically a bill, calculated once a month, over all appliances) is inadequate to give the resident useful information about his energy consuming actions. The present study tested the hypothesis that providing immediate feedback to homeowners concerning their daily rate of electric usage would be effective in reducing electric consumption. In the studied homes, central air-conditioning is the largest single source of electric power consumption during the summer. Accordingly, it was possible to predict the household's expected electric consumption in terms of the average daily outdoor temperature. Predicted electric consumption was derived from a previous month's modeling period during which a regression line was fitted to predict consumption from average daily temperature, for each home. Feedback was expressed as a percentage of actual consumption over predicted consumption. Feedback was displayed to homeowners four times a week for approximately one month. The results confirmed the prediction. Before feedback began, the feedback and control groups were consuming electricity at approximately equal rates. During the feedback period, the feedback group used 10.5 percent less electricity. The effectiveness of the feedback procedure was explained in terms of its cueing, motivational, and commitment functions.

Seligman, C.; Darley, J.M.

1976-08-01T23:59:59.000Z

434

How much energy is consumed in residential and commercial ...  

U.S. Energy Information Administration (EIA)

How much energy is consumed in residential and commercial buildings in the United States? Nearly 40% of total U.S. energy consumption in 2012 was consumed in ...

435

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

436

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

437

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

438

Energy consumption of building 39; Energy consumption of building thirty-nine.  

E-Print Network (OSTI)

??The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further (more)

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

439

Commercial Buildings Energy Consumption and Expenditures 1992 - Publication  

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

and Expenditures > Publication and Tables and Expenditures > Publication and Tables 1992 Consumption & Expenditures Publication and Tables Figure ES1. Energy Consumption in Commercial Buildings by Energy Sources, 1992 Separater Bar To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader . If you experience any difficulties, visit our Technical Frequently Asked Questions. You have the option of downloading the entire report or selected sections of the report. Separater Bar Full Report - Commercial Buildings Energy Consumption and Expenditures, 1992 (file size 1.07 MB) pages: 214 Selected Sections Main Text - requires Adobe Acrobat Reader (file size 193,634 bytes) pages: 28, includes the following: Contacts Contents Executive Summary Introduction Background

440

Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption  

Buildings Energy Data Book (EERE)

1 FY 2007 Federal Primary Energy Consumption (Quadrillion Btu) Buildings and Facilities 0.88 VehiclesEquipment 0.69 (mostly jet fuel and diesel) Total Federal Government...

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


441

Saving energy in occupied buildings: results from the Lawrence Berkeley Laboratory residential data bases  

SciTech Connect

This paper summarizes results to date from the residential portion of the Building Energy Use Compilation and Analysis (BECA) project, comprising findings from several hundred studies of new and retrofitted buildings. The following are discussed for both new and retrofitted homes: (1) energy savings and the range of savings for given types of measures; (2) cost and cost-effectiveness of various measures; and (3) methodology. In existing residences, data compiled from roughly 70 retrofit projects, with sample sizes that range from 1 to 33,000 homes, strongly indicate that retrofits often significantly reduce annual space heating energy consumption. But, results are highly variable. The maximum energy savings from individual measures installed in different households are 3 to 7 times greater than the median value. Nineteen conservation programs sponsored by utilities achieved annual space heat savings of 38.5 million Btu at an average investment level of $1050. Twenty-nine of 215 new homes in our BECA-A database have detailed sub-metered data that permits normalization of space heat loads for both indoor temperature and internal gains. In these homes, the standardized heating energy requirement ranges from 10 to 25 kBtu/ft/sup 2/ over various climatic regions, a value that is roughly 50% less than current building practice.

Goldman, C.A.; Wagner, B.S.

1983-09-01T23:59:59.000Z

442

Summary of Gaps and Barriers for Implementing Residential Building Energy Efficiency Strategies  

SciTech Connect

This report presents the key gaps and barriers to implementing residential energy efficiency strategies in the U.S. market, as identified in sessions at the U.S. Department of Energy's Building America 2010 Residential Energy Efficiency Meeting held in Denver, Colorado, on July 20-22, 2010.

2010-08-01T23:59:59.000Z

443

Detecting sources of heat loss in residential buildings from infrared imaging  

E-Print Network (OSTI)

Infrared image analysis was conducted to determine the most common sources of heat loss during the winter in residential buildings. 135 houses in the greater Boston and Cambridge area were photographed, stitched, and tallied ...

Shao, Emily Chen

2011-01-01T23:59:59.000Z

444

An Overview of Residential Ventilation Activities in the Building America Program (Phase I)  

DOE Green Energy (OSTI)

This report provides an overview of issues involved in residential ventilation; provides an overview of the various ventilation strategies being evaluated by the five teams, or consortia, currently involved in the Building America Program; and identifies unresolved technical issues.

Barley, D.

2001-05-21T23:59:59.000Z

445

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

DOE Green Energy (OSTI)

This powerpoint presentation to be presented at the World Renewable Energy Forum on May 17, 2012, in Denver, CO, discusses building-integrated photovoltaics (BIPV) in the residential section and includes an analysis of installed rooftop prices.

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

2012-06-01T23:59:59.000Z

446

City of Portland - Streamlined Building Permits for Residential...  

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

Commercial Residential Savings For Solar Buying & Making Electricity Heating & Cooling Water Heating Program Information Oregon Program Type SolarWind Permitting Standards The...

447

Impacts of the 2009 IECC for Residential Buildings at State Level - West Virginia  

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

West Virginia West Virginia September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN WEST VIRGINIA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN WEST VIRGINIA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in West Virginia Summary West Virginia is proceeding with adoption of the 2009 International Energy Conservation Code (IECC) through the State Fire Commission. No energy analysis was conducted here comparing the current West Virginia code to the 2009 IECC for this reason. However, the West Virginia energy code has been one of the weaker codes in

448

Impacts of the 2009 IECC for Residential Buildings at State Level - Kansas  

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

Kansas Kansas September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN KANSAS BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN KANSAS Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Kansas Summary Kansas currently does not have a mandatory energy efficiency code. The 2009 International Energy Conservation Code (IECC) would substantially improve energy efficiency in Kansas homes. A limited analysis of the impact of the 2009 IECC resulted in estimated savings of $355 to $582 a year for an average new house

449

Impacts of the 2009 IECC for Residential Buildings at State Level - New Mexico  

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

Mexico Mexico September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW MEXICO BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN NEW MEXICO Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in New Mexico Summary The 2009 International Energy Conservation Code (IECC) contains several major improvements in energy efficiency over the current state code, the 2006 IECC. The most notable changes are improved duct sealing and efficient lighting requirements. A limited analysis of these changes resulted in estimated savings of $216 to

450

Impacts of the 2009 IECC for Residential Buildings at State Level - South Dakota  

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

South Dakota South Dakota September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN SOUTH DAKOTA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN SOUTH DAKOTA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in South Dakota Summary South Dakota currently does not have a mandatory energy efficiency code. The 2009 International Energy Conservation Code (IECC) would substantially improve energy efficiency in South Dakota homes. A limited analysis of the impact of the 2009 IECC resulted in estimated savings of $383 to $427 a year for an average

451

Impacts of the 2009 IECC for Residential Buildings at State Level - Arizona  

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

Arizona Arizona September 2009 Prepared by Pacific Northwest National Laboratory for the U.S. Department of Energy Building Energy Codes Program BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ARIZONA BUILDING ENERGY CODES PROGRAM IMPACTS OF THE 2009 IECC FOR RESIDENTIAL BUILDINGS IN ARIZONA Analysis of 2009 International Energy Conservation Code Requirements for Residential Buildings in Arizona Summary Arizona is a "home rule" state with no mandatory state-wide energy efficiency code. However, many counties and cities have adopted an energy efficiency code, most often the 2006 International Energy Conservation Code (IECC). The 2009 IECC contains several major improvements in energy efficiency over the 2006 IECC. The

452

DOE/EIA-0318/1 Nonresidential Buildings Energy Consumption Survey...  

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

1 Nonresidential Buildings Energy Consumption Survey: 1979 Consumption and Expenditures D Part I: Natural Gas and Electricity March 1983 Energy Information Administration...

453

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

454

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network (OSTI)

of Decision Making and Residential Energy Use. Annual Reviewand David Auslander. 2010. Residential Occupied NeighborhoodCommission (CEC). 2001. Residential Alternative Calculation

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

455

Building Energy Software Tools Directory: Right-Suite Residential for  

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

Right-Suite Residential for Windows Right-Suite Residential for Windows Right-Suite Residential for Windows logo. All-in-one HVAC software performs residential loads calculations, duct sizing, energy analysis, equipment selection, cost comparison calculations, and geothermal loop design. Also allows you to design your own custom proposals. Used for system design, for sales representation, and for quotation preparations. Buy only what you need. Unused functions are shipped as demos, so the program can grow with your needs. Keywords residential loads calculations, duct sizing, energy analysis, HVAC equipment selection, system design Validation/Testing N/A Expertise Required Knowledge of general HVAC concepts. High level of computer literacy not required. Users Over 10,000 users of Right-J loads.

456

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

E-Print Network (OSTI)

adding thermal insulation to buildings and i m p r o v i n grespect to insulation for residential buildings, the reportbuildings; these calculations include fluorocarbon emissions from thermal insulation

2006-01-01T23:59:59.000Z

457

Buildings Energy Data Book: 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities  

Buildings Energy Data Book (EERE)

1 1 Energy Policy Act of 2005, Provisions Affecting Energy Consumption in Federal Buildings Source(s): Energy Management Requirements - Amended reduction goals set by the National Energy Conservation Policy Act, and requires increasing percentage reductions in energy consumption through FY 2015, with a final energy consumption reduction goal of 20 percent savings in FY 2015, as compared to the baseline energy consumption of Federal buildings in FY 2003. (These goals were superseded by Section 431 of the Energy Independence and Security Act of 2007.) [Section 102] Energy Use Measurement and Accountability - Requires that all Federal buildings be metered to measure electricity use by 2012. [Section 103] Procurement of Energy Efficient Products - Requires all Federal agencies to procure ENERGY STAR qualified products, for product

458

Steam System Balancing and Tuning for Multifamily Residential Buildings, Chicago, Illinois (Fact Sheet), Building America Case Study: Technology Solutions for New and Existing Homes, Building Technologies Office (BTO)  

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

Steam System Balancing Steam System Balancing and Tuning for Multifamily Residential Buildings Chicago, Illinois PROJECT INFORMATION Project Name: Steam System Balancing and Tuning for Multifamily Residential Buildings Location: Chicago, IL Partners: Partnership for Advanced Residential Retrofit www.gastechnology.org Building Component: Steam heating distribution system and controls Application: Retrofit; Multifamily Year Tested: 2011-2012 Applicable Climate Zone(s): Cold humid continental PERFORMANCE DATA Cost of Energy Efficiency Measure (including labor): $9,000 on average Projected Energy Savings: 10.2% heating savings Chicago's older multifamily housing stock is primarily heated by centrally metered steam or hydronic systems. Often, significant temperature differentials

459

Residential fuelwood consumption and production in Michigan, 1992. Forest Service resource bulletin  

SciTech Connect

Since fuelwood's heyday in the late 1800's, its use as a primary home heating and cooking fuel has declined dramatically as homeowners opted for the convenience and efficiency of fossil-based fuels. In Michigan, the resurgence in residential fuelwood use resulted in one in three households taking advantage of wood energy (Michigan Department of Natural Resources 1982), and sent the volume of fuelwood burned, i.e. consumption, skyrocketing to levels not seen in half a century.

May, D.M.; Weatherspoon, A.K.; Hackett, R.L.

1993-01-01T23:59:59.000Z

460

An analysis of residential energy consumption in a temperate climate. Volume 1  

SciTech Connect

Electrical energy consumption data have been recorded for several hundred submetered residential structures in Middle Tennessee. All houses were constructed with a common ``energy package.`` Specifically, daily cooling usage data have been collected for 130 houses for the 1985 and 1986 cooling seasons, and monthly heating usage data for 186 houses have been recorded by occupant participation over a seven-year period. Cooling data have been analyzed using an SPSSx multiple regression analysis and results are compared to several cooling models. Heating, base, and total energy usage are also analyzed and regression correlation coefficients are determined as a function of several house parameters.

Clark, Y.Y.; Vincent, W.

1987-06-01T23:59:59.000Z

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


461

Residential energy consumption and expenditures by end use for 1978, 1980, and 1981  

Science Conference Proceedings (OSTI)

The end-use estimates of the average household consumption and expenditures are statistical estimates based on the 1978, 1980, and 1981 Residential Enery Consumption Surveys (RECS) conducted by the Energy Information Administration (EIA) rather than on metered observations. The end-use estimates were obtained by developing a set of equations that predict the percentage of energy used for each broad end-use category. The equations were applied separately to each household and to each fuel. The resulting household end-use estimates were averaged to produce estimates of the average end-use consumption and expenditures on a national and regional basis. The accuracy and potential biases of these end-use estimates vary depending on the fuel type, on the year of the survey, and on the type of end use. The figures and tables presented show the amount and the type of energy cosumed, plus the cost of this energy. National averages are given as well as averages for various categories including region, size and age of dwelling, number of heating degree-days, and income. Some of the significant findings; energy trends by end use for all fuels used in the home for 1978, 1980, and 1981; and electricity consumption and expenditures and natural gas consumption and expenditures are discussed.

Johnson, M.

1984-12-01T23:59:59.000Z

462

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

SciTech Connect

In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an appropriate comparison of the additional first cost of energy efficiency design options with the savings in operating costs. This report describes calculation of equipment energy consumption (fuel and electricity) based on estimated conditions in a sample of homes that are representative of expected furnace and boiler installations. To represent actual houses with furnaces and boilers in the United States, we used a set of houses from the Residential Energy Consumption Survey of 1997 conducted by the Energy Information Administration. Our calculation methodology estimates the energy consumption of alternative (more-efficient) furnaces, if they were to be used in each house in place of the existing equipment. We developed the method of calculation described in this report for non-weatherized gas furnaces. We generalized the energy consumption calculation for this product class to the other furnace product classes. Fuel consumption calculations for boilers are similar to those for the other furnace product classes. The electricity calculations for boilers are simpler than for furnaces, because boilers do not provide thermal distribution for space cooling as furnaces often do.

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

2004-02-01T23:59:59.000Z

463

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

SciTech Connect

In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an appropriate comparison of the additional first cost of energy efficiency design options with the savings in operating costs. This report describes calculation of equipment energy consumption (fuel and electricity) based on estimated conditions in a sample of homes that are representative of expected furnace and boiler installations. To represent actual houses with furnaces and boilers in the United States, we used a set of houses from the Residential Energy Consumption Survey of 1997 conducted by the Energy Information Administration. Our calculation methodology estimates the energy consumption of alternative (more-efficient) furnaces, if they were to be used in each house in place of the existing equipment. We developed the method of calculation described in this report for non-weatherized gas furnaces. We generalized the energy consumption calculation for this product class to the other furnace product classes. Fuel consumption calculations for boilers are similar to those for the other furnace product classes. The electricity calculations for boilers are simpler than for furnaces, because boilers do not provide thermal distribution for space cooling as furnaces often do.

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

2004-02-01T23:59:59.000Z

464

Commercial Buildings Energy Consumption Survey (CBECS) Public Use Data  

Gasoline and Diesel Fuel Update (EIA)

CBECS Public Use Data CBECS Public Use Data CBECS Public Use Data Public Use Files: yellow indicator arrow 2003 CBECS | yellow indicator arrow 1999 CBECS | yellow indicator arrow 1995 CBECS | yellow indicator arrow 1992 CBECS The Public Use Files are microdata files that contain more than 5,000 records, representing commercial buildings from the 50 States and the District of Columbia. Each record corresponds to a single responding, in-scope sampled building and contains information for that building about the building size, year constructed, types of energy used, energy-using equipment, conservation features, energy consumption and expenditures, and the amount of energy used for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and other end uses.

465

Simulation-based assessment of the energy savings benefits of integrated control in office buildings  

E-Print Network (OSTI)

Volume I: National Lighting Inventory and Energy ConsumptionEnergy Consumption in the US Residential and Commercial Building Stock. Lawrence Berkeley National

Hong, T.

2011-01-01T23:59:59.000Z

466

Investigation of "Sick" Residential and Workplace Buildings using a  

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

Investigation of "Sick" Residential and Workplace Buildings using a Investigation of "Sick" Residential and Workplace Buildings using a Computerized/Web-Based Occupant Health Survey Instrument Speaker(s): James Craner Date: September 15, 2005 - 12:00pm Location: Bldg. 90 Epidemiological investigation of occupants of a residential or non-industrial workplace building (or building complex) is a well-established, public health method used to identify and measure the nature, distribution, and cause of occupational or environmental illness related to indoor air quality (IAQ) problems or concerns. Such an investigation is particularly useful where disease-exposure associations have not been clearly established and multiple environmental and human factors may be implicated or considered. --The "sick building syndrome"

467

City of Portland - Streamlined Building Permits for Residential Solar  

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

Commercial Commercial Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Program Info State Oregon Program Type Solar/Wind Permitting Standards Provider City of Portland The City of Portland's Bureau of Development Services (BDS) developed an electronic permitting process for residential solar energy system installations. With this streamlined, expedited process, solar contractors can submit the project plans and permit application online for residential installations. In order to file the online application, the contractor must first be trained. The City of Portland has staff at the permitting desk trained as solar experts to assist solar contractors who need help filing their permits in person. This process has a turnaround time of

468

A Simple Method to Continuous Measurement of Energy Consumption of Tank Less Gas Water Heaters for Commercial Buildings  

E-Print Network (OSTI)

energy consumptions of hot water supply in restaurants or residential houses are large amount, guidelines for optimal design are not presented. measurements of energy consumption of tank less gas water heaters very difficult unless gas flow meters were installed. however a gas flow meters is hardly installed for individual heater. in this study, a simple method to estimate gas consumption of such appliances form temperature of exhaust gas and electric current was presented. experiments of japanese major hot water gas heaters were conducted change under conditions of various water flow rate at constant output temperature. the empirical equations, which related gas consumption to exhaust gas temperature and operative current, were obtained for each type of water heaters, each manufacturer and overall heaters. verification of the method was conducted at a commercial building. some thresholds to decide status of operation, such as anti-freeze operation, were set, and sufficient accuracy of around 10 % error was achieved.

Yamaha, M.; Fujita, M.; Miyoshi, T.

2006-01-01T23:59:59.000Z

469

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency ‹ Consumption & Efficiency Commercial Buildings Energy Consumption Survey (CBECS) Glossary › FAQS › Overview Data 2003 1999 1995 1992 Previous Analysis & Projections Maps U. S. Census Regions and Divisions U. S. Climate Zones for 2003 CBECS U. S. Climate Zones for 1979-1999 CBECS How are U.S. Climate Zones defined? U. S. Census Regions and Divisions: U.S. Census Regions and Divisions Map U. S. Climate Zones for 2003 CBECS: U.S. Census Regions and Divisions Map U. S. Climate Zones for 1979-1999 CBECS: U.S. Census Regions and Divisions Map How are U.S. Climate Zones defined? The CBECS climate zones are groups of climate divisions, as defined by the National Oceanic and Atmospheric Administration (NOAA), which are regions within a state that are as climatically homogeneous as possible. Each NOAA

470

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Buildings Share of U.S. Petroleum Consumption (Million Barrels per Day) Buildings Residential Commercial Total Industry Transportation Total 1980 2.62 2.01 l 4.63 10.55 19.01 34.19 1981 2.26 1.73 l 3.98 9.13 18.81 31.93 1982 1.96 1.49 l 3.45 8.35 18.42 30.23 1983 1.87 1.61 l 3.48 7.97 18.60 30.05 1984 1.95 1.60 l 3.55 8.48 19.02 31.05 1985 1.92 1.40 l 3.32 8.13 19.47 30.92 1986 2.03 1.60 l 3.62 8.39 20.18 32.20 1987 2.04 1.51 l 3.54 8.50 20.82 32.86 1988 2.20 1.57 l 3.77 8.88 21.57 34.22 1989 2.23 1.56 l 3.79 8.71 21.71 34.21 1990 1.81 1.38 l 3.20 8.73 21.63 33.55 1991 1.77 1.30 l 3.07 8.40 21.38 32.85 1992 1.73 1.19 l 2.92 8.93 21.68 33.52 1993 1.81 1.16 l 2.97 8.80 22.07 33.84 1994 1.75 1.15 l 2.90 9.16 22.61 34.67 1995 1.61 1.00 l 2.62 8.87 23.07 34.56 1996 1.74 1.04 l 2.78 9.33 23.65 35.76 1997 1.71 1.04 l 2.75 9.60 23.92 36.27 1998 1.73 1.13 l 2.86 9.54 24.54 36.93 1999 1.85 1.10 l 2.96 9.78 25.22 37.96

471

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

472

Residential energy consumption and expenditure patterns of low-income households in the United States  

SciTech Connect

The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

473

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the Commercial Buildings Energy Consumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the entire commercial building population in the United States, or a "sample". Consequently, the estimates differ from the true population values. However, the sample design permits us to estimate the sampling error in each value. It is important to understand: CBECS estimates should not be considered as finite point estimates, but as estimates with some associated error in each direction. The standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100.

474

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

475

BTS fact sheet: Ryan Homes and the Consortium for Advanced Residential Buildings  

SciTech Connect

Through Building America's unique collaboration process, Ryan Homes, the US Department of Energy, the National Renewable Energy Laboratory, and the Consortium for Advanced Residential Buildings worked together to identify ways to incorporate money-saving energy features throughout the Carborne house.

1999-05-07T23:59:59.000Z

476

SPP sales flyer for residential home builders | ENERGY STAR Buildings &  

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

residential home builders residential home builders Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

477

Improved Building Energy Consumption with the Help of Modern ICT  

E-Print Network (OSTI)

Kyoto process and the global combat against climate change will require more intensive energy saving efforts especially in all developed countries. Key for the success in building sector is the energy efficiency of the existing building stock. Reliable information on realised energy consumption is the basis for all kind of improvements. Monitoring and targeting systems based on modern information and communication technologies can support daily building operations and saving actions. Based on the internet technologies information and benchmarking services can be developed in order to improve the dissemination of best practices and the networking both on national and international level. Some results of the latest developments carried out at VTT in Finland (www.vtt.fi) will be discussed.

Pietilainen, J.

2003-01-01T23:59:59.000Z

478

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-01-01T23:59:59.000Z

479

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-06-01T23:59:59.000Z

480

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...

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


481

The Consortium of Advanced Residential Buildings (CARB) - A Building America Energy Efficient Housing Partnership  

SciTech Connect

This final report summarizes the work conducted by the Consortium of Advanced Residential Buildings (CARB) (http://www.carb-swa.com/), one of the 'Building America Energy Efficient Housing Partnership' Industry Teams, for the period January 1, 2008 to December 31, 2010. The Building America Program (BAP) is part of the Department of Energy (DOE), Energy Efficiency and Renewable Energy, Building Technologies Program (BTP). The long term goal of the BAP is to develop cost effective, production ready systems in five major climate zones that will result in zero energy homes (ZEH) that produce as much energy as they use on an annual basis by 2020. CARB is led by Steven Winter Associates, Inc. with Davis Energy Group, Inc. (DEG), MaGrann Associates, and Johnson Research, LLC as team members. In partnership with our numerous builders and industry partners, work was performed in three primary areas - advanced systems research, prototype home development, and technical support for communities of high performance homes. Our advanced systems research work focuses on developing a better understanding of the installed performance of advanced technology systems when integrated in a whole-house scenario. Technology systems researched included: - High-R Wall Assemblies - Non-Ducted Air-Source Heat Pumps - Low-Load HVAC Systems - Solar Thermal Water Heating - Ventilation Systems - Cold-Climate Ground and Air Source Heat Pumps - Hot/Dry Climate Air-to-Water Heat Pump - Condensing Boilers - Evaporative condensers - Water Heating CARB continued to support several prototype home projects in the design and specification phase. These projects are located in all five program climate regions and most are targeting greater than 50% source energy savings over the Building America Benchmark home. CARB provided technical support and developed builder project case studies to be included in near-term Joule Milestone reports for the following community scale projects: - SBER Overlook at Clipper Mill (mixed, humid climate) - William Ryan Homes - Tampa (hot, humid climate).

Robb Aldrich; Lois Arena; Dianne Griffiths; Srikanth Puttagunta; David Springer

2010-12-31T23:59:59.000Z

482

The Consortium of Advanced Residential Buildings (CARB) - A Building America Energy Efficient Housing Partnership  

SciTech Connect

This final report summarizes the work conducted by the Consortium of Advanced Residential Buildings (CARB) (http://www.carb-swa.com/), one of the 'Building America Energy Efficient Housing Partnership' Industry Teams, for the period January 1, 2008 to December 31, 2010. The Building America Program (BAP) is part of the Department of Energy (DOE), Energy Efficiency and Renewable Energy, Building Technologies Program (BTP). The long term goal of the BAP is to develop cost effective, production ready systems in five major climate zones that will result in zero energy homes (ZEH) that produce as much energy as they use on an annual basis by 2020. CARB is led by Steven Winter Associates, Inc. with Davis Energy Group, Inc. (DEG), MaGrann Associates, and Johnson Research, LLC as team members. In partnership with our numerous builders and industry partners, work was performed in three primary areas - advanced systems research, prototype home development, and technical support for communities of high performance homes. Our advanced systems research work focuses on developing a better understanding of the installed performance of advanced technology systems when integrated in a whole-house scenario. Technology systems researched included: - High-R Wall Assemblies - Non-Ducted Air-Source Heat Pumps - Low-Load HVAC Systems - Solar Thermal Water Heating - Ventilation Systems - Cold-Climate Ground and Air Source Heat Pumps - Hot/Dry Climate Air-to-Water Heat Pump - Condensing Boilers - Evaporative condensers - Water Heating CARB continued to support several prototype home projects in the design and specification phase. These projects are located in all five program climate regions and most are targeting greater than 50% source energy savings over the Building America Benchmark home. CARB provided technical support and developed builder project case studies to be included in near-term Joule Milestone reports for the following community scale projects: - SBER Overlook at Clipper Mill (mixed, humid climate) - William Ryan Homes - Tampa (hot, humid climate).

Robb Aldrich; Lois Arena; Dianne Griffiths; Srikanth Puttagunta; David Springer

2010-12-31T23:59:59.000Z

483

Consumption & Efficiency - Analysis & Projections - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports All Sectors Change category... All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Filter by: All Data Analysis Projections Today in Energy - Commercial Consumption & Efficiency Short, timely articles with graphs about recent commercial consumption and

484

Commercial Buildings Energy Consumption Survey (CBECS) - Data - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

CBECS Terminology CBECS Terminology NOTE: This glossary is specific to the 1999 and 2003 Commercial Buildings Energy Consumption Surveys (CBECS). CBECS glossaries for prior years can be found in the appendices of past CBECS reports. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," and "Residential." Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in CBECS. In addition, the same customer may be classified differently by each of its energy suppliers. Activities with Large Amounts of Hot Water: An energy-related space

485

Buildings Energy Data Book: 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities  

Buildings Energy Data Book (EERE)

3 3 Energy Independence and Security Act of 2007, Provisions Affecting Energy Consumption in Federal Buildings Source(s): Standard Relating to Solar Hot Water - Requires new Federal buildings, or Federal buildings undergoing major renovations, to meet at least 30 percent of hot water demand through the use of solar hot water heaters, if cost-effective. [Section 523] Federally-Procured Appliances with Standby Power - Requires all Federal agencies to procure appliances with standby power consumption of less than 1 watt, if available and cost-effective. [Section 524] Energy Independence and Security Act of 2007, enacted December 19, 2007 Energy Reduction Goals for Federal Buildings - Amended reduction goals set by the National Energy Conservation Policy Act, and

486

Research on the Statistical Method of Energy Consumption for Public Buildings in China  

E-Print Network (OSTI)

The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system of energy consumption for public buildings is presented in this paper. The statistical index system of energy consumption constitutes three aspects: general characteristics of public buildings, opposition and utilization of energy consumption equipment, and energy consumption quantities. On this basis, a set of statistical reports is derived to measure the energy consumption of cities, provinces and the country.

Chen, S.; Li, N.

2006-01-01T23:59:59.000Z

487

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports An Assessment of EIA's Building Consumption Data Background image of CNSTAT logo The U.S. Energy Information Administration (EIA) routinely uses feedback from customers and outside experts to help improve its programs and products. As part of an assessment of its consumption

488

Realized and Projected Impacts of U.S. Energy Efficiency Standards for Residential and Commercial Appliances  

E-Print Network (OSTI)

and Renewable Energy, Building Technologies, U.S. DepartmentProspective Impacts of U.S. Energy Efficiency Standards for2. US Residential and Commercial Primary Energy Consumption

Meyers, Stephen P.

2008-01-01T23:59:59.000Z

489

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book (EERE)

U.S. Residential and Commercial Buildings Total Primary Energy Consumption (Quadrillion Btu and Percent of Total) Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total TOTAL (2) 2010-Year 1980 7.42 28.2% 3.04 11.5% 0.15 0.6% 0.87 3.3% 4.35 10.47 14.82 56.4% 26.29 100% - 1981 7.11 27.5% 2.63 10.2% 0.17 0.6% 0.89 3.5% 4.50 10.54 15.03 58.2% 25.84 100% - 1982 7.32 27.8% 2.45 9.3% 0.19 0.7% 0.99 3.8% 4.57 10.80 15.37 58.4% 26.31 100% - 1983 6.93 26.4% 2.50 9.5% 0.19 0.7% 0.99 3.8% 4.68 11.01 15.68 59.6% 26.30 100% - 1984 7.20 26.4% 2.74 10.0% 0.21 0.8% 1.00 3