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

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%

2

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

3

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

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

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

4

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

World Conference on Photovoltaic Energy Conversion, 2003,Effects of Residential Photovoltaic Energy Systems on Homeand renewable energy technologies, solar photovoltaic (PV)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

5

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

rate paid at the utility’s “avoided cost. ” Results of theroughly to the utility’s avoided cost of energy. Details anda reasonable value for the avoided cost of residential PV

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

6

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...

7

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

8

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

9

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

10

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

11

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

12

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

13

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.

14

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

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

15

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.

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

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

18

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

19

Solar Photovoltaic Financing: Residential Sector Deployment ...  

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

Solar Photovoltaic Financing: Residential Sector Deployment Solar Photovoltaic Financing: Residential Sector Deployment This report presents the information that homeowners and...

20

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

E-Print Network [OSTI]

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

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

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

A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)  

Science Journals Connector (OSTI)

Abstract Climate change and global warming as the main human societies’ threats are fundamentally associated with energy consumption and GHG emissions. The residential sector, representing 27% and 17% of global energy consumption and CO2 emissions, respectively, has a considerable role to mitigate global climate change. Ten countries, including China, the US, India, Russia, Japan, Germany, South Korea, Canada, Iran, and the UK, account for two-thirds of global CO2 emissions. Thus, these countries’ residential energy consumption and GHG emissions have direct, significant effects on the world environment. The aim of this paper is to review the status and current trends of energy consumption, CO2 emissions and energy policies in the residential sector, both globally and in those ten countries. It was found that global residential energy consumption grew by 14% from 2000 to 2011. Most of this increase has occurred in developing countries, where population, urbanization and economic growth have been the main driving factors. Among the ten studied countries, all of the developed ones have shown a promising trend of reduction in CO2 emissions, apart from the US and Japan, which showed a 4% rise. Globally, the residential energy market is dominated by traditional biomass (40% of the total) followed by electricity (21%) and natural gas (20%), but the total proportion of fossil fuels has decreased over the past decade. Energy policy plays a significant role in controlling energy consumption. Different energy policies, such as building energy codes, incentives, energy labels have been employed by countries. Those policies can be successful if they are enhanced by making them mandatory, targeting net-zero energy building, and increasing public awareness about new technologies. However, developing countries, such as China, India and Iran, still encounter with considerable growth in GHG emissions and energy consumption, which are mostly related to the absence of strong, efficient policy.

Payam Nejat; Fatemeh Jomehzadeh; Mohammad Mahdi Taheri; Mohammad Gohari; Muhd Zaimi Abd. Majid

2015-01-01T23:59:59.000Z

22

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

23

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%

24

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

25

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network [OSTI]

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

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

26

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

27

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

28

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

29

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

30

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

31

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

E-Print Network [OSTI]

www.energy.ca.gov/electricity/consumption_by_sector.html.1999. “Domestic Electricity Consumption and Lifestyle. ” Inper-capita residential electricity consumption (site) 1978–

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

32

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

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

33

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

34

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect (OSTI)

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

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

1996-08-01T23:59:59.000Z

35

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

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

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

36

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...

37

Residential Lighting End-Use Consumption  

Broader source: Energy.gov [DOE]

The U.S. DOE Residential 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 framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

38

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.

39

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

40

Energy Data Sourcebook for the U.S. Residential Sector  

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

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

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

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

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

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

42

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

that forecast US residential energy consumption by end-use.new unit energy consumption in the U.S. DOE appliancethe Residential Energy Consumption Survey, or RECS (US DOE

Wenzel, T.P.

2010-01-01T23:59:59.000Z

43

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

44

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

45

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.

46

Solar Photovoltaic Financing: Residential Sector Deployment  

SciTech Connect (OSTI)

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

Coughlin, J.; Cory, K.

2009-03-01T23:59:59.000Z

47

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionType Choice, and Fuel Usage Total annual residentialResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

48

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

49

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

50

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

E-Print Network [OSTI]

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

Zhou, Nan

2010-01-01T23:59:59.000Z

51

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

SciTech Connect (OSTI)

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

Not Available

1980-09-01T23:59:59.000Z

52

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

SciTech Connect (OSTI)

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

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

2011-04-15T23:59:59.000Z

53

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.

54

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

55

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network [OSTI]

residential density on vehicle usage and energy consumption.of residential density on vehicle usage and fuel consumptionresidential density on vehicle usage and fuel consumption*

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

56

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

57

Impact on Implementing Demand Side Management in Residential Sector  

Science Journals Connector (OSTI)

Residential electricity consumption in Malaysia increased at a rate of 14% per year between 1993 to 1997. In 1998, over 60% of population lived in urban areas. The growth of urban population at a rate of 4% per a...

H. A. Rahman; M. S. Majid; M. Y. Hassan…

2001-01-01T23:59:59.000Z

58

AEO2011: Renewable Energy Consumption by Sector and Source | OpenEI  

Open Energy Info (EERE)

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

59

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect (OSTI)

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

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

60

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

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

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

E-Print Network [OSTI]

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

Kelsven, Phillip

2013-01-01T23:59:59.000Z

62

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

63

Residential Energy Consumption Survey (RECS) - Energy Information  

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

64

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

General information about EIA data on energy consumption may be obtained from Wray Smith, Director, Office of Energy Markets and End Use (202- 252-1617); Lynda T. Carlson,...

65

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

Open Energy Info (EERE)

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

66

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

67

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network [OSTI]

LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G-up model of the miscellaneous electricity end use. Using shipment data and a consistent stock accounting-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995

68

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

Open Energy Info (EERE)

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

69

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)

70

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

Open Energy Info (EERE)

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

71

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

72

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.

73

Residential  

Science Journals Connector (OSTI)

The residential sector can be divided into apartment blocks and low-rise housing. Apartment blocks have many similarities to the non-domestic sector, such as office buildings, which are covered by the range of...

2009-01-01T23:59:59.000Z

74

Greening the Residential Sector: Efforts to Transform the Homebuilding  

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

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

75

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.

76

Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and  

Open Energy Info (EERE)

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

77

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

78

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

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

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

79

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

Open Energy Info (EERE)

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

80

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 sector 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 (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

82

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

83

Sample design for the residential energy consumption survey  

SciTech Connect (OSTI)

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.

Not Available

1994-08-01T23:59:59.000Z

84

Historical Renewable Energy Consumption by Energy Use Sector and Energy  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 Dataset Summary Description Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords annual energy consumption consumption EIA renewable energy Data application/vnd.ms-excel icon historical_renewable_energy_consumption_by_sector_and_energy_source_1989-2008.xls (xls, 41 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 1989-2008 License License Creative Commons CCZero Comment Rate this dataset

85

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

86

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

87

AEO2011: Energy Consumption by Sector and Source - Middle Atlantic | OpenEI  

Open Energy Info (EERE)

Middle Atlantic Middle Atlantic Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 2, and contains only the reference case. The dataset uses quadrillion btu. The energy consumption data is broken down by sector (residential, commercial, industrial, transportation, electric power) as well as source, and also provides total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA middle atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Middle Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment

88

AEO2011: Energy Consumption by Sector and Source - South Atlantic | OpenEI  

Open Energy Info (EERE)

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

89

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

90

Residential Multi-Function Gas Heat Pump: Efficient Engine-Driven Heat Pump for the Residential Sector- Fact Sheet, 2013  

Broader source: Energy.gov [DOE]

Fact sheet overview of a natural gas heat pump system for the residential sector that will incorporate an internal combustion engine that drives a vapor-compression heat pump

91

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

92

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

93

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.

94

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.

95

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network [OSTI]

in forecasting electricity consumption in the residentialmodeling, since household electricity consumption is largelyup forecasting of electricity consumption by combining

McNeil, Michael A.

2010-01-01T23:59:59.000Z

96

UK Energy Consumption by Sector | OpenEI  

Open Energy Info (EERE)

68 68 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278068 Varnish cache server UK Energy Consumption by Sector Dataset Summary Description The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. In addition, a user guide is available as a supplement to the full set of spreadsheets to explain the technical concepts and vocabulary found within Energy Consumption in the UK (http://www.decc.gov.uk/assets/decc/Statistics/publications/ecuk/272-ecuk-user-guide.pdf). Energy Consumption in the United Kingdom is an annual publication currently published by the UK Department of Energy and Climate Change (DECC) for varying time periods, generally 1970 to 2009 (though some time periods are shorter).

97

RESIDENTIAL COMPLEX WITH A LOW ENERGY CONSUMPTION AT PRATO (ITALY)  

Science Journals Connector (OSTI)

ABSTRACT During recent years in Italy there has been widespread experimentation with passive solar technologies, carried out for the main part on multi-storey residential buildings in highly urbanized situations. Some important findings have emerged from these; in particular bioclimatic criteria have shown the possibility of allowing 50% higher energy savings with respect to traditional buildings, while on the other hand bringing very high extra-costs (up to 40 - 50% of construction costs) in addition to considerable inconveniences for inhabitants (reduction in quality of living conditions, cooling problems in Summer). The pilot project we are presenting has come out of these reflections and is the outcome of collaboration between the Florence Autonomous Institute for Pubblic Housing and AGIP Petroli; its principal goal is the sperimentation with intermediary solutions between the traditional building model and bioclimatic prototypes constructed during the last few years, thereby examining the real feasibility of low - energy consumption building within the ambit of constraints placed upon government subsidized building. KEYWORDS Italy, housing, low energy consumption housing, bioclimatic architecture, passive solar sistems.

Francesco Pica; Gabriella Pistone; Riccardo Roda

1988-01-01T23:59:59.000Z

98

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

99

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

SciTech Connect (OSTI)

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

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

2010-05-03T23:59:59.000Z

100

AEO2011: Energy Consumption by Sector and Source - Mountain | OpenEI  

Open Energy Info (EERE)

Mountain Mountain Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 8, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption mountain region Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Mountain- Reference Case (xls, 297.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

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

AEO2011: Energy Consumption by Sector and Source - New England | OpenEI  

Open Energy Info (EERE)

New England New England Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption New England Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - New England- Reference Case (xls, 297.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

102

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

Open Energy Info (EERE)

South Central South Central Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 7, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption West South Central Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - West South Central- Reference Case (xls, 297.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

103

AEO2011: Energy Consumption by Sector and Source - West North Central |  

Open Energy Info (EERE)

North Central North Central Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 4, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - West North Central- Reference Case (xls, 297.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

104

AEO2011: Energy Consumption by Sector and Source - United States | OpenEI  

Open Energy Info (EERE)

United States United States Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 10, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption United States Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - United States- Reference Case (xls, 298.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

105

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

106

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

107

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

108

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)  

Broader source: Energy.gov [DOE]

This paper examines the behavioral assumptions that underlie California’s residential sector energy efficiency programs and recommends improvements that will help to advance the state’s ambitious greenhouse gas reduction goals.

109

Estimating response to price signals in residential electricity consumption.  

E-Print Network [OSTI]

?? Based on a previous empirical study of the effect of a residential demand response program in Sala, Sweden, this project  investigated the economic consequences… (more)

Huang, Yizhang

2013-01-01T23:59:59.000Z

110

Residential Buildings Integration | Department of Energy  

Office of Environmental Management (EM)

demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development...

111

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

E-Print Network [OSTI]

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

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

112

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

modules." Thin Film Solar Technology 7409(1). Wilson-Wright,conservation and solar technology through tax credits. Alimited the ERP to non-solar technologies, in deference to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

113

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

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

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

114

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

Act Electric vehicle Feed-in Tariff Gigawatt U.S. Departmentinitiatives are the Feed-in Tariff (FIT) and the Renewablesuch as a revamped feed-in tariff ( FIT) or a utility-driven

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

115

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

solar electric capacity on new homes, and to have solar electric systems on 50% of all new homes built in Californiasolar capacity installed; capacity more than quadrupled to 746 MW by the end of 2010 (CPUC 2011). California

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

116

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

solar incentive programs, direct subsidies for energy efficiency audits and projects,solar contactors are not in business of selling energy efficiency, when in fact a hybrid projectprojects with an energy component— likely for energy efficiency measures even more so than for solar—

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

117

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

et al. (2005). Renewable energy policies and markets in theefficiency and renewable energy policy in the state. Inand Renewable Energy Technology and Policy. Washington,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

118

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

discussion. CEC & CPUC, Go Solar California: What Is The Newcan be found at Go Solar California, Download Current CSIAND FUNDING FOR THE CALIFORNIA SOLAR INITIATIVE. San

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

119

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

http://www.seia.org/cs/solar_policies/solar_investment_tax_how to design optimal solar policy as this market continuesWith favorable state policies, solar-PV finds itself on a

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

120

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

10 1.5. The Coordination of Solar and Energyintegration of solar and energy efficiency. Currentlytension between solar and energy efficiency remains much

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

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

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

122

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

Residential Dishwashers Hot Water Motor, Booster, Total Min.Clothes Washers Hot Water Motor Database Year Min. EnergyUS DOE 1990b. Hot water energy and motor, booster and dryer

Wenzel, T.P.

2010-01-01T23:59:59.000Z

123

Efficient Engine-Driven Heat Pump for the Residential Sector  

Broader source: Energy.gov [DOE]

Building on previous work on an 11-ton packaged natural gas heat pump, this project will develop hardware and software for engine and system controls for a residential gas heat pump system that...

124

Fact #792: August 12, 2013 Energy Consumption by Sector and Energy...  

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

2: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012 Fact 792: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012 In the...

125

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

Gas Market Survey: 1995. AHAM, Association of Home ApplianceEnergy Efficiency and Consumption Trends. Chicago: AHAM.AHAM, Association of Home Appliance Manufacturers. 1996.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

126

Fuel Consumption for Electricity Generation, All Sectors United States  

Gasoline and Diesel Fuel Update (EIA)

Fuel Consumption for Electricity Generation, All Sectors Fuel Consumption for Electricity Generation, All Sectors United States Coal (thousand st/d) .................... 2,361 2,207 2,586 2,287 2,421 2,237 2,720 2,365 2,391 2,174 2,622 2,286 2,361 2,437 2,369 Natural Gas (million cf/d) ............. 20,952 21,902 28,751 21,535 20,291 22,193 28,174 20,227 20,829 22,857 29,506 21,248 23,302 22,736 23,627 Petroleum (thousand b/d) ........... 128 127 144 127 135 128 135 119 131 124 134 117 131 129 127 Residual Fuel Oil ...................... 38 28 36 29 30 31 33 29 31 30 34 27 33 31 30 Distillate Fuel Oil ....................... 26 24 27 28 35 30 30 26 31 26 28 25 26 30 28 Petroleum Coke (a) .................. 59 72 78 66 63 63 66 59 62 63 67 60 69 63 63 Other Petroleum Liquids (b) ..... 5 3 4 4 7 5 5 5 7 5 5 5 4 6 6 Northeast Census Region Coal (thousand st/d) ....................

127

Warm homes: Drivers of the demand for heating in the residential sector in New Zealand  

Science Journals Connector (OSTI)

New Zealand houses are large, often poorly constructed and heated, by OECD standards, and consequently are colder and damper indoors than recommended by the World Health Organisation. This affects both the energy consumption and the health of households. The traditional New Zealand household pattern of only heating one room of the house has been unchanged for decades, although there has been substantial market penetration of unflued gas heaters and more recently heat pumps. This paper describes the residential sector and the results of two community-based trials of housing and heating interventions that have been designed to measure the impact of (1) retrofitting insulation and (2) replacing unflued gas heaters and electric resistance heaters with heat pumps, wood pellet burners and flued gas heaters. The paper describes findings on the rebound effect or ‘take-back’—the extent to which households take the gains from insulation and heating improvements as comfort (higher temperatures) rather than energy savings, and compares energy-saving patterns with those suggested by an earlier study. Findings on these aspects of household space heating are discussed in the context of the New Zealand government's policy drive for a more sustainable energy system, and the implications for climate change policy.

Philippa Howden-Chapman; Helen Viggers; Ralph Chapman; Des O’Dea; Sarah Free; Kimberley O’Sullivan

2009-01-01T23:59:59.000Z

128

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

E-Print Network [OSTI]

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

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

2004-01-01T23:59:59.000Z

129

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

130

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)

131

Window-Related Energy Consumption in the US Residential and Commercial  

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

132

Energy-saving technology adoption under uncertainty in the residential sector  

E-Print Network [OSTI]

Energy-saving technology adoption under uncertainty in the residential sector Dorothée Charlier in the energy-saving technology, to save or to consume energy goods and non-energy goods. Resolution in the same way as in a partial equilibrium framework. JEL classification: Q55, D11, D81,C61 Keywords : energy-saving

Paris-Sud XI, Université de

133

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

134

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

135

Residential  

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

Water Heaters Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales...

136

Fact #792: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012  

Broader source: Energy.gov [DOE]

In the last 30 years, overall energy consumption has grown by about 22 quadrillion Btu. The share of energy consumption by the transportation sector has seen modest growth in that time – from about...

137

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

138

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

139

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

140

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

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

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

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

142

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

143

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

144

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

145

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

146

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

147

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

148

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

149

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

150

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

151

,"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

152

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

SciTech Connect (OSTI)

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

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

2012-12-01T23:59:59.000Z

153

User-needs study for the 1993 residential energy consumption survey  

SciTech Connect (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

154

,"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

155

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

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

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

156

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy  

Science Journals Connector (OSTI)

Abstract Buildings are the dominant source of energy consumption and environmental emissions in urban areas. Therefore, the ability to forecast and characterize building energy consumption is vital to implementing urban energy management and efficiency initiatives required to curb emissions. Advances in smart metering technology have enabled researchers to develop “sensor based” approaches to forecast building energy consumption that necessitate less input data than traditional methods. Sensor-based forecasting utilizes machine learning techniques to infer the complex relationships between consumption and influencing variables (e.g., weather, time of day, previous consumption). While sensor-based forecasting has been studied extensively for commercial buildings, there is a paucity of research applying this data-driven approach to the multi-family residential sector. In this paper, we build a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, and apply it to an empirical data-set from a multi-family residential building in New York City. We expand our study to examine the impact of temporal (i.e., daily, hourly, 10 min intervals) and spatial (i.e., whole building, by floor, by unit) granularity have on the predictive power of our single-step model. Results indicate that sensor based forecasting models can be extended to multi-family residential buildings and that the optimal monitoring granularity occurs at the by floor level in hourly intervals. In addition to implications for the development of residential energy forecasting models, our results have practical significance for the deployment and installation of advanced smart metering devices. Ultimately, accurate and cost effective wide-scale energy prediction is a vital step towards next-generation energy efficiency initiatives, which will require not only consideration of the methods, but the scales for which data can be distilled into meaningful information.

Rishee K. Jain; Kevin M. Smith; Patricia J. Culligan; John E. Taylor

2014-01-01T23:59:59.000Z

157

Residential Sector  

Gasoline and Diesel Fuel Update (EIA)

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

158

Assessing National Employment Impacts of Investment in Residential and Commercial Sector Energy Efficiency: Review and Example Analysis  

SciTech Connect (OSTI)

Pacific Northwest National Laboratory (PNNL) modeled the employment impacts of a major national initiative to accelerate energy efficiency trends at one of two levels: • 15 percent savings by 2030. In this scenario, efficiency activities save about 15 percent of the Annual Energy Outlook (AEO) Reference Case electricity consumption by 2030. It is assumed that additional energy savings in both the residential and commercial sectors begin in 2015 at zero, and then increase in an S-shaped market penetration curve, with the level of savings equal to about 7.0 percent of the AEO 2014 U.S. national residential and commercial electricity consumption saved by 2020, 14.8 percent by 2025, and 15 percent by 2030. • 10 percent savings by 2030. In this scenario, additional savings begin at zero in 2015, increase to 3.8 percent in 2020, 9.8 percent by 2025, and 10 percent of the AEO reference case value by 2030. The analysis of the 15 percent case indicates that by 2030 more than 300,000 new jobs would likely result from such policies, including an annual average of more than 60,000 jobs directly supporting the installation and maintenance of energy efficiency measures and practices. These are new jobs resulting initially from the investment associated with the construction of more energy-efficient new buildings or the retrofit of existing buildings and would be sustained for as long as the investment continues. Based on what is known about the current level of building-sector energy efficiency jobs, this would represent an increase of more than 10 percent from the current estimated level of over 450,000 such jobs. The more significant and longer-lasting effect comes from the redirection of energy bill savings toward the purchase of other goods and services in the general economy, with its attendant influence on increasing the total number of jobs. This example analysis utilized PNNL’s ImSET model, a modeling framework that PNNL has used over the past two decades to assess the economic impacts of the U.S. Department of Energy’s (DOE’s) energy efficiency programs in the buildings sector.

Anderson, David M.; Belzer, David B.; Livingston, Olga V.; Scott, Michael J.

2014-06-18T23:59:59.000Z

159

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

SciTech Connect (OSTI)

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

160

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

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

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 Technical Workshop on Behavior Economics Presentations Technical Workshop on Behavior Economics Presentations Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy

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

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

Reports and Publications (EIA)

In 2012, the residential sector accounted for 21% of total primary energy consumption and about 20% of carbon dioxide emissions in the United States (computed from EIA 2013). Because of the impacts of residential sector energy use on the environment and the economy, this study was undertaken to help provide a better understanding of the factors affecting energy consumption in this sector. The analysis is based on the U.S. Energy Information Administration's (EIA) residential energy consumption surveys (RECS) 1980-2009.

2015-01-01T23:59:59.000Z

162

Manufacturing Consumption of Energy 1994  

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

energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified in Standard Industrial Classification 20 through 39 of the U.S. economy as defined 2 by the Office of Management and Budget. The manufacturing sector is a part of the industrial sector, which also includes mining; construction; and agriculture, forestry, and fishing. The EIA also conducts energy consumption surveys in the residential, commercial buildings, and residential transportation sectors: the Residential Energy 3 Consumption Survey (RECS); the Commercial Buildings Energy Consumption Survey (CBECS); and, until recently, the Residential Transportation Energy Consumption Survey (RTECS).

163

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

SciTech Connect (OSTI)

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

164

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

SciTech Connect (OSTI)

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

165

AN ASSESSMENT OF THE MARKET POTENTIAL AND ECONOMIC IMPACTS OF ENERGY CONSERVATION IN THE CANADIAN RESIDENTIAL/COMMERCIAL/INDUSTRIAL SECTORS  

Science Journals Connector (OSTI)

ABSTRACT Energy conservation in the residential/commercial/industrial sectors is a significant “supply” option for Canada. The conservation business can also produce an important impact on national economic performance. Although some achievement has been made in energy conservation, the potential in Canada has remained mostly untapped. In order to develop the energy conservation potential aggressively, demographic and institutional barriers must be overcome. The non-residential sector is likely to experience a more aggressive rate of energy conservation achievement than the residential sector. Financing is a crucial issue confronting the aggressive development of energy conservation. Good decisions require good information bases. There is much to improve on the quality and variety of data available to the public on energy conservation. Emphasis should also be placed on education and effective communication of energy conservation to managers and the public.

Lorne D.R. Dyke; W. Samuel Chan

1984-01-01T23:59:59.000Z

166

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

SciTech Connect (OSTI)

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

NONE

1995-03-01T23:59:59.000Z

167

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

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

168

Consumption & Prices by Sector & Census Division Tables  

Gasoline and Diesel Fuel Update (EIA)

- New England-01 - New England-01 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Residential Liquefied Petroleum Gases 0.027 0.026 0.026 0.027 0.027 0.027 0.027 0.028 0.028 0.028 0.028 0.029 0.029 Kerosene 0.026 0.015 0.015 0.015 0.015 0.015 0.015 0.015 0.015 0.016 0.016 0.016 0.016 Distillate Fuel Oil 0.356 0.345 0.336 0.334 0.330 0.329 0.330 0.331 0.333 0.333 0.333 0.331 0.330 Liquid Fuels Subtotal 0.409 0.386 0.378 0.376 0.372 0.370 0.372 0.374 0.376 0.377 0.377 0.376 0.375 Natural Gas 0.193 0.202 0.183 0.207 0.210 0.212 0.213 0.215 0.217 0.217 0.218 0.219 0.219 Coal 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Renewable Energy 1/ 0.027 0.028 0.027 0.028 0.028 0.028 0.027 0.027 0.027 0.026 0.026 0.026 0.026 Electricity 0.159 0.166 0.170 0.173 0.177 0.179 0.182 0.183 0.186 0.187 0.188 0.189 0.191 Delivered Energy

169

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

E-Print Network [OSTI]

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

Kelsven, Phillip

2013-01-01T23:59:59.000Z

170

RESIDENTIAL SECTOR END-USE FORECASTING WITH EPRI-REEPS 2.1: SUMMARY INPUT ASSUMPTIONS AND RESULTS  

E-Print Network [OSTI]

-76SF00098. #12;#12;i ABSTRACT This paper describes current and projected future energy use by end energy intensity per household of the residential sector is declining, and the electricity intensity per. Sanstad, and Leslie Shown Energy Analysis Program Energy and Environment Division Ernest Orlando Lawrence

171

MEW Efforts in Reducing Electricity and Water Consumption in Government and Private Sectors in Kuwait  

E-Print Network [OSTI]

of Engineers, membership No. 1715. MEW EFFORTS IN REDUCING ELECTRICITY AND WATER CONSUMPTION IN GOVERNMENT AND PRIVATE SECTORS IN KUWAIT Eng. Iqbal Al-Tayar Manager ? Technical Supervision Department Planning and Training Sector Ministry... of Electricity & Water (MEW) - Kuwait Historical Background - Electricity ? In 1913, the first electric machine was installed in Kuwait to operate 400 lambs for Al-Saif Palace. ? In 1934, two electric generators were installed with a total capacity of 60 k...

Al-Tayar, I.

2011-01-01T23:59:59.000Z

172

Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector  

SciTech Connect (OSTI)

The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricing information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.

Herter, Karen; Rasin, Josh; Perry, Tim

2009-11-30T23:59:59.000Z

173

Econometric model of the joint production and consumption of residential space heat  

SciTech Connect (OSTI)

This study models the production and comsumption of residential space heat, a nonmarket good. Production reflects capital investment decisions of households; consumption reflects final demand decisions given the existing capital stock. In the model, the production relationship is represented by a translog cost equation and an anergy factor share equation. Consumption is represented by a log-linear demand equation. This system of three equations - cost, fuel share, and final demand - is estimated simultaneously. Results are presented for two cross-sections of households surveyed in 1973 and 1981. Estimates of own-price and cross-price elasticities of factor demand are of the correct sign, and less than one in magnitude. The price elasticity of final demand is about -0.4; the income elasticity of final demand is less than 0.1. Short-run and long-run elasticities of demand for energy are about -0.3 and -0.6, respectively. These results suggest that price-induced decreases in the use of energy for space heat are attributable equally to changes in final demand and to energy conservation, the substitution of capital for energy in the production of space heat. The model is used to simulate the behavior of poor and nonpoor households during a period of rising energy prices. This simulation illustrates the greater impact of rising prices on poor households.

Klein, Y.L.

1985-12-01T23:59:59.000Z

174

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

175

Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption  

Buildings Energy Data Book [EERE]

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

176

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

177

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

E-Print Network [OSTI]

accounting for 79% of non-biomass energy consumption inreliance on biomass for rural energy consumption shows thereliance on biomass for rural energy consumption shows the

Zhou, Nan

2010-01-01T23:59:59.000Z

178

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

E-Print Network [OSTI]

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

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

179

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

E-Print Network [OSTI]

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

Zhou, Nan

2010-01-01T23:59:59.000Z

180

Residential energy consumption across different population groups : comparative analysis for latino and non-latino households in USA.  

SciTech Connect (OSTI)

Residential energy cost is an important part of the household budget and could vary significantly across different population groups in many countries. In the United States, many studies have analyzed household fuel consumption by fuel type, including electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG), and by geographic areas. Past research has also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, our research shows that residential energy demand by fuel type for Latinos, the fastest growing population group, has not been explained by economic and non-economic factors in any statistical model in public domain. The purpose of this paper was to discuss energy demand and expenditure patterns for Latino and non-Latino households in the United States as a case example of analyzing residential energy consumption across different population groups in a country. The linear expenditure system model developed by Stone and Geary is the basis of the statistical model developed to explain fuel consumption and expenditures for Latino households. For comparison, the models are also developed for non-Latino, black, and non-black households. These models estimate energy consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. Significant variations in the patterns of these fuels consumption for Latinos and non-Latinos are highlighted. The model methodology and results of this research should be useful to energy policymakers in government and industry, researches, and academicians who are concerned with economic and energy issues related to various population groups in their country.

Poyer, D. A.; Henderson, L.; Teotia, A. P. S.; Energy Systems; Univ. of Baltimore

1997-01-01T23:59:59.000Z

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

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

E-Print Network [OSTI]

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

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

2012-01-01T23:59:59.000Z

182

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

SciTech Connect (OSTI)

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

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

1988-04-01T23:59:59.000Z

183

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

184

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

E-Print Network [OSTI]

window related primary energy consumption of the US building= 1.056 EJ. “Primary” energy consumption includes a site-to-the amount of primary energy consumption required by space

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

185

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

E-Print Network [OSTI]

roughly 2.7% of total US energy consumption. The final tworoughly 1.5% of total US energy consumption. The final twoSpace Conditioning Energy Consumption in US Buildings Annual

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

186

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

E-Print Network [OSTI]

accounting for 79% of non-biomass energy consumption in2000 and 2020. Biomass, the leading energy source in thehigh reliance on biomass for rural energy consumption as

Zhou, Nan

2010-01-01T23:59:59.000Z

187

On the economic potential for electric load management in the German residential heating sector – An optimising energy system model approach  

Science Journals Connector (OSTI)

Abstract Against the background of the ambitious German targets for renewable energy and energy efficiency, this paper investigates the economic potential for thermal load management with virtual power plants consisting of micro-cogeneration plants, heat pumps and thermal storage within the residential sector. An optimising energy system model of the electricity and residential heat supply in Germany is developed in the TIMES (The Integrated MARKAL EFOM System) modelling framework and used to determine capacity developments and dispatch of electricity and residential heat generation technologies until 2050. The analysed scenarios differ with respect to the rate of technological development of heat and power devices, fuel and CO2 prices as well as renewable electricity expansion. Results show that high fuel prices and a high renewable electricity expansion favour heat pumps and insulation measures over micro-cogeneration, whereas lower fuel prices and lower renewable electricity expansion relatively favour the expansion of micro-cogeneration. In the former case heat pump capacities increase to around 67 GWel, whereas in the latter case the total capacity of micro-cogeneration reaches 8 GWel. With the aid of thermal storage, this provides considerable flexibility for electrical load shifting through heat pumps and electricity generation from micro-cogeneration in residential applications, needed for the integration of fluctuating renewable electricity technologies.

Daniel Fehrenbach; Erik Merkel; Russell McKenna; Ute Karl; Wolf Fichtner

2014-01-01T23:59:59.000Z

188

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

189

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

Open Energy Info (EERE)

North Central North Central Dataset Summary Description http://en.openei.org/w/skins/openei/images/ui-bg_gloss_wave-medium_40_d6...); background-attachment: scroll; background-origin: initial; background-clip: initial; background-color: rgb(214, 235, 225); line-height: 17px; width: 650px; background-position: 50% 0%; background-repeat: repeat no-repeat; ">This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 3, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago)

190

Models for residential- and commercial-sector energy-conservation analysis: applications, limitations, and future potential. Final report  

SciTech Connect (OSTI)

This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).

Cole, Henry E.; Fullen, Robert E.

1980-09-01T23:59:59.000Z

191

Energy Impacts of Envelope Tightening and Mechanical Ventilation for the U.S. Residential Sector  

E-Print Network [OSTI]

We calculated the change in energy demand for each home in aincrease residential site energy demand by 0.07 quads (0.07increase annual site energy demand by less than 1% ? WAPs

Logue, J.M.

2014-01-01T23:59:59.000Z

192

Use-phase memory: a tool for the sustainable construction and renovation of residential buildings  

E-Print Network [OSTI]

). The statistics show that this sector consumes and pollutes more than industry (22% energy) or transport sectors1 Use-phase memory: a tool for the sustainable construction and renovation of residential buildings in the variability of the energy consumption and environmental impact of residential buildings during their use

Paris-Sud XI, Université de

193

Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting  

Science Journals Connector (OSTI)

Abstract As the world’s largest developing country and greenhouse gas emitter, China’s residential energy consumption (REC) is now responsible for over 11% of the country’s total energy consumption. In this paper, we present a novel method that utilizes spatially distributed information from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP–OLS) and human activity index (HAI) to test the hypothesis that counties with similar carbon dioxide emissions from REC are more spatially clustered than would be expected by chance. Our results revealed a high degree of county-level clustering in the distribution of emissions per capita. However, further analysis showed that high-emission counties tended to be surrounded by counties with relatively low per capita GDP levels. Therefore, our results contrasted with other evidence that REC emissions were closely related to GDP levels. Accordingly, we stress the need for the consideration of other factors in determining emission patterns, such as residential consumption patterns (e.g., consumer choices, behavior, knowledge, and information diffusion).

Heli Lu; Guifang Liu

2014-01-01T23:59:59.000Z

194

AEO2011: Energy Consumption by Sector and Source - Pacific | OpenEI  

Open Energy Info (EERE)

Pacific Pacific Dataset Summary Description This dataset comes from the Electric Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This data reflects Table 9, and contains only the reference case. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption Pacific Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Pacific- Reference Case (xls, 297.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

195

2001 Residential Energy Consumption Survey Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire  

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

Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire OMB No. 1905-0092, Expiring March 31, 200X i U.S. Department of Energy Energy Information Administration 2001 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Roper Starch Worldwide Inc., a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will participate in this important study of energy usage. Your identity and all the responses you give me will be kept strictly confidential. The survey will take about 15 minutes.

196

Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption  

Buildings Energy Data Book [EERE]

1 Buildings Sector Water Consumption 1 Buildings Sector Water Consumption March 2012 8.1.2 Average Energy Intensity of Public Water Supplies by Location (kWh per Million Gallons) Location United States (2) 627 437 1,363 United States (3) 65 (6) 1,649 Northern California Indoor 111 1,272 1,911 Northern California Outdoor 111 1,272 0 Southern California Indoor (5) 111 1,272 1,911 Southern California Outdoor 111 1,272 0 Iowa (6) 380 1,570 Massachusetts (6) (6) 1,750 Wisconsin Class AB (4) - - Wisconsin Class C (4) - - Wisconsin Class D (4) - - Wisconsin Total (4) - - Note(s): Source(s): 836 3,263 Sourcing Treatment (1) Distribution Wastewater Total 2,230 2,295 2,117 5,411 2,117 3,500 - not included 1,850 9,727 13,021 9,727 11,110 2390 4,340 1,500 3,250 - not included 1,510 1) Treatment before delivery to customer. 2) Source: Electric Policy Research Institute (EPRI) 2009. Wastewater estimated based on EPRI

197

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Renewables Natural Gas Petroleum Coal Hydro. Other Total Nuclear Total (quad) 1980 41% 12% 28% 7% 6% 13% 6% 14.84 1981 40% 10% 29% 6% 6% 13% 7% 14.51 1982 39% 9% 30% 8% 7% 14% 7% 14.95 1983 37% 9% 31% 8% 7% 15% 8% 14.86 1984 37% 10% 31% 7% 7% 14% 8% 15.49 1985 36% 10% 32% 6% 7% 13% 9% 15.69 1986 34% 10% 32% 7% 6% 13% 10% 15.47 1987 34% 10% 33% 6% 6% 12% 10% 15.82 1988 34% 10% 33% 5% 6% 11% 12% 16.62 1989 35% 10% 32% 6% 7% 12% 11% 17.24 1990 34% 8% 34% 6% 5% 11% 13% 16.54 1991 34% 8% 33% 6% 5% 11% 13% 17.03 1992 35% 8% 33% 5% 6% 11% 13% 17.05 1993 35% 8% 34% 6% 5% 11% 12% 17.89 1994 35% 8% 33% 5% 5% 10% 13% 17.79 1995 35% 8% 33% 6% 5% 11% 13% 18.31 1996 35% 8% 33% 6% 5% 11% 13% 19.27 1997 35% 8% 35% 7% 4% 11% 12% 18.71 1998 34% 7% 36% 6% 4% 10% 13% 18.57 1999 34% 8% 35% 6% 4% 10% 14% 19.20 2000 34% 8% 35% 5% 4% 9% 14% 20.06 2001 35% 8% 35% 4% 4% 7% 14% 19.65 2002 34% 7% 35% 5% 4% 8% 14% 20.52 2003 34% 7% 36% 5% 4% 9% 14% 20.75 2004 34% 8% 36% 5% 4% 8% 14% 20.76 2005 34% 7% 36%

198

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

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

199

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

6 6 Annual Cost Active Idle Off Active Idle Off ($) (2) Kitchen Coffee Maker 1,000 70 0 38 229 8,493 58 5.6 Dishwasher (3) 365 (4) 120 11.6 Microwave Oven 1,500 3 70 8,690 131 12.6 Toaster Oven 1,051 37 54 5.2 Refrigerator-Freezer 660 63.1 Freezer 470 45.0 Lighting 18-W Compact Fluorescent 18 1,189 20 2.1 60-W Incandescent Lamp 60 672 40 3.9 100-W Incandescent Lamp 100 672 70 6.4 Torchiere Lamp-Halogen 300 1,460 440 42.0 Bedroom and Bathroom Hair Dryer 710 50 40 3.4 Waterbed Heater 350 3,051 1,070 102.7 Laundry Room Clothes Dryer 359 (4) 1,000 96.0 Clothes Washer (3) 392 (4) 110 (3) 10.4 Home Electronics Desktop PCs 75 4 2 2,990 330 5,440 237 22.8 Notebook PCs 25 2 2 2,368 935 5,457 72 6.9 Desktop Computer Monitors 42 1 1 1,865 875 6,020 85 8.2 Stereo Systems 33 30 3 1,510 1,810 5,440 119 11.4 Televisions 97 4 1,860 6,900 222 (7) 21.3 Analog, <40" 86 1,095 (5) 184 17.7 Analog, >40"

200

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

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

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

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

by Fuel and Region (Million BtuHousehold) Region Electricity Natural Gas Fuel Oil Total Northeast 21.2 34.9 36.2 54.7 Midwest 16.6 36.6 N.A. 51.8 South 39.4 20.0 N.A....

202

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....

203

PROJECTED REGIONAL IMPACTS OF APPLIANCE EFFICIENCY STANDARDS FOR THE U.S. RESIDENTIAL SECTOR  

E-Print Network [OSTI]

was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building.S. for a large number of residential end-uses. This analysis assesses the potential energy, dollar, and carbon presented in this report represent lower bounds to the true benefits. Energy savings from the standards

204

Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models  

Reports and Publications (EIA)

This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

2003-01-01T23:59:59.000Z

205

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

Science Journals Connector (OSTI)

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

Yasser Al-Saleh; Hanan Taleb

2009-02-01T23:59:59.000Z

206

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

207

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

E-Print Network [OSTI]

One of These Homes is Not Like the Other: Residentialways, the majority of homes use energy in unpredictable waysenergy consumption per home, even when normalizing for size

Kelsven, Phillip

2013-01-01T23:59:59.000Z

208

Quantitative evaluation of time-series GHG emissions by sector and region using consumption-based accounting  

Science Journals Connector (OSTI)

This study estimates global time-series consumption-based GHG emissions by region from 1990 to 2005, including both CO2 and non-CO2 GHG emissions. Estimations are conducted for the whole economy and for two specific sectors: manufacturing and agriculture. Especially in the agricultural sector, it is important to include non-CO2 GHG emissions because these are the major emissions present. In most of the regions examined, the improvements in GHG intensities achieved in the manufacturing sector are larger than those in the agricultural sector. Compared with developing regions, most developed regions have consistently larger per-capita consumption-based GHG emissions over the whole economy, as well as higher production-based emissions. In the manufacturing sector, differences calculated by subtracting production-based emissions from consumption-based GHG emissions are determined by the regional economic level while, in the agricultural sector, they are dependent on regional production structures that are determined by international trade competitiveness. In the manufacturing sector, these differences are consistently and increasingly positive for the U.S., EU15 and Japan but negative for developing regions. In the agricultural sector, the differences calculated for the major agricultural importers like Japan and the EU15 are consistently positive while those of exporters like the U.S., Australia and New Zealand are consistently negative.

Takashi Homma; Keigo Akimoto; Toshimasa Tomoda

2012-01-01T23:59:59.000Z

209

Improving the Energy Efficiency of Residential Buildings | Department of  

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

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

210

Techno-economic assessment of the impact of phase change material thermal storage on the energy consumption and GHG emissions of the Canadian Housing Stock  

Science Journals Connector (OSTI)

Responsible for 17% of all energy consumption and 16% of greenhouse gas (GHG) emissions in Canada, the residential sector ... substantial opportunities for reducing both energy consumption and GHG emissions. Bein...

Sara Nikoofard; V. Ismet Ugursal; Ian Beausoleil-Morrison

2014-11-01T23:59:59.000Z

211

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

E-Print Network [OSTI]

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

2006-01-01T23:59:59.000Z

212

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

E-Print Network [OSTI]

U.S. Residential Electricity Consumption by End Use. 2011a [average residential electricity consumption by end-use inaverage residential electricity consumption by end-use in

Garbesi, Karina

2012-01-01T23:59:59.000Z

213

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...

Lian, Y.; Hao, Y.

2006-01-01T23:59:59.000Z

214

sector | OpenEI  

Open Energy Info (EERE)

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

215

An examination of the relationship between energy consumption and performance of transportation sector in Malaysia: output multipliers approach  

Science Journals Connector (OSTI)

The objective of the current study is to investigate the energy consumption and the performance of Malaysia's transportation sector. It applied output multiplier approach which is based on input-output model. Three input-output tables of Malaysia covering the 1991, 2000 and 2005 periods were used. The results indicate significant changes in the output multipliers of the transportation sector for the (1991-2005) period. Also, the transportation-to-energy subsector multipliers were found to increase over time. The increasing importance of transportation sector to the development of Malaysian economy resulted in a noticeable increase in the consumption of each energy subsector's output especially 'petrol and coal industries' products. Based on the research findings, several policy implications were suggested for the betterment of both sectors' performance and generally for the improvement of Malaysian economy.

Hussain Ali Bekhet; Azlina Abdullah

2013-01-01T23:59:59.000Z

216

Household Vehicles Energy Consumption 1991  

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

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

217

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

SciTech Connect (OSTI)

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

218

Managing the diffusion of biomass in the residential energy sector: An illustrative real-world case study  

Science Journals Connector (OSTI)

Abstract The integration of renewable energy sources into existing energy systems has emerged as pivotal in the context of sustainable energy planning. However, despite their appeal, the diffusion rate of eco-innovative technologies in the energy sector varies considerably among countries, mainly due to the lack of attractive policy schema that would leverage the decision-making process for related investments. Among other renewable energy applications, the deployment of biomass heating systems by residential users is hindered both by economic and non-economic influence factors and in many regions remains below expectations, despite the readily available supply of feedstock and the positive impact on the environment. In this paper, a simulation-based framework for managing the diffusion of biomass-based technologies in the residential heating sector is proposed. More specifically, first a review of state-of-the art literature on fostering the integration of biomass in energy systems from a policy-making perspective is provided, while special focus is given on research efforts that investigate the adoption of biomass-based systems for residential heating. Following that, a System Dynamics modeling framework that could be employed as a tool for assessing the impact of various interventionary policies on promoting the deployment of biomass heating systems in residences is proposed, taking into account a system perspective tailored to accommodate new product diffusion. The application of the proposed framework to a real-world case study is further illustrated, that of Greece, and results and managerial insights of significant interest both for the research community and the energy regulatory authorities are presented. Finally, conclusions and suggested promising areas for future research are discussed. The provided analysis reveals that without any intervention, 85% of the total projected adoptions is expected to take place until 2030 in Greece, with only 12% being attained by 2021. However, low budget policy interventions on initial investment cost, consumers’ environmental awareness and direct access to biomass, as well as imposed oil taxes, could contribute significantly in accelerating the adoption of biomass heating systems, besides reaching timely the national targets on CO2 emissions reduction.

Agorasti Toka; Eleftherios Iakovou; Dimitrios Vlachos; Naoum Tsolakis; Anastasia-Loukia Grigoriadou

2014-01-01T23:59:59.000Z

219

Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia  

SciTech Connect (OSTI)

The energy consumption of a house air conditioner located at Dhahran, Saudi Arabia, is modeled as a function of weather parameters and total (global) solar radiation on a horizontal surface. The selection of effective parameters that significantly influence energy consumption is carried out using general stepping regression methods. The problem of collinearity between the regressors is also investigated. The final model involves parameters of total solar radiation on a horizontal surface, wind speed, and temperature difference between the indoor and outdoor condition. However, the model coefficients are functions of relative humidity and/or temperature difference between the indoor and outdoor condition. Model adequacy is examined by the residual analysis technique. Model validation is carried out by the data-splitting technique. The sensitivity of the model indicates that relative humidity and temperature difference strongly influence the cooling energy consumption. It was found that an increase in relative humidity from 20% to 100% can cause a 100% increase in cooling energy consumption during the high cooling season.

Abdel-Nabi, D.Y.; Zubair, S.M.; Abdelrahman, M.A.; Bahel, V. (Energy Systems Group, Div. of Energy Resources, Research Inst., King Fahd Univ. of Petroleum and Minerals, Dhahran (SA))

1990-01-01T23:59:59.000Z

220

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

E-Print Network [OSTI]

i n g s 2.1 Total Energy Consumption i n Japan's Residentialhouses. 2.1 Total Energy Consumption in Japan's Residentialorder to reduce total energy consumption. Figure 2 suggests

2006-01-01T23:59:59.000Z

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

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

E-Print Network [OSTI]

e d u c i n g Primary Energy Consumption and C O 2 emissionssystem can reduce primary energy consumption by about 22system can reduce primary energy consumption by about 26

2006-01-01T23:59:59.000Z

222

Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions  

Science Journals Connector (OSTI)

Abstract In a smart(er) grid context, the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end-user concerning electricity management. However, the residential end-user will not be always available to manage energy resources and decide, based on price signals and preferences/needs, the best response actions to implement or the best usage of the electricity produced locally. Therefore, energy management systems are required to monitor consumption/generation/storage and to make the best decisions according to input signals and the user's needs and preferences. The design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads, according to availability, typical usage patterns, working cycles and technical constraints. Automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics. In this paper, a characterization of household electricity consumption is presented and an operational categorization of end-use loads is proposed. The existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented. The results obtained show the potential savings for the end-user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley.

Ana Soares; Álvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

223

Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.  

SciTech Connect (OSTI)

Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

Poyer, D.A.; Teotia, A.P.S. [Argonne National Lab., IL (United States); Henderson, L. [Univ. of Baltimore, MD (United States)

1998-05-01T23:59:59.000Z

224

EIA - International Energy Outlook 2007-Energy Consumption by End-Use  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End Use Sector Energy Consumption by End Use Sector International Energy Outlook 2007 Figure 25. OECD and Non-OECD Transportation Sector Delivered Energy Consumption, 2004-2030 Figure 25 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 26. OECD and Non-OECD Residential Sector Delivered Energy Consumption, 2004-2030 Figure 26 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 27. Growth in OECD and Non-OECD Residential Sector Delivered Energy Consumption by Fuel, 2004 and 2030 Figure 27 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 28. OECD and Non-OECD Commercial Sector Delivered Energy Consumption, 2004-2030 Figure 28 Data. Need help, contact the National Energy Information Center at 202-586-8800.

225

PowerChoice Residential Customer Response to TOU Rates  

E-Print Network [OSTI]

Electricity Consumption .1984. “Time-of-Day Electricity Consumption Response toon Residential Electricity Consumption: The Hydro One Pilot.

Peters, Jane S.

2010-01-01T23:59:59.000Z

226

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

227

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 3.7% 4.93 11.24 16.17 59.2% 27.31 100% - 1985 6.98 25.4% 2.62 9.5% 0.18 0.6% 1.03 3.8% 5.06 11.59 16.65 60.6% 27.47 100% - 1986 6.74 24.5% 2.68 9.7% 0.18 0.6% 0.95 3.4% 5.23 11.75 16.98 61.7% 27.52 100% - 1987 6.87 24.4% 2.73 9.7% 0.17 0.6% 0.88 3.1% 5.44 12.04 17.48 62.2% 28.13 100% - 1988 7.44 25.0%

228

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

229

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

E-Print Network [OSTI]

B. Atanasiu (2006). Electricity Consumption and Efficiencywill see their electricity consumption rise significantly.the bulk of household electricity consumption in developing

Letschert, Virginie

2010-01-01T23:59:59.000Z

230

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Building Type (thousand BtuSF) Consumption | Building Type (thousand BtuSF) Consumption Health Care 345.9 8% | Education 159.0 11% Inpatient 438.8 6% | Service 151.6 4%...

231

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

E-Print Network [OSTI]

from household energy consumption i n Japan increased b y 20is that household energy consumption i n Japan has notfrom a l l households i n Japan, through 2050 (with energy-

2006-01-01T23:59:59.000Z

232

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

Reports and Publications (EIA)

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

2007-01-01T23:59:59.000Z

233

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

234

EIA - Natural Gas Consumption Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Consumption by End Use U.S. and State consumption by lease and plant, pipeline, and delivered to consumers by sector (monthly, annual). Number of Consumers Number of sales and transported consumers for residential, commercial, and industrial sectors by State (monthly, annual). State Shares of U.S. Deliveries By sector and total consumption (annual). Delivered for the Account of Others Commercial, industrial and electric utility deliveries; percentage of total deliveries by State (annual). Heat Content of Natural Gas Consumed Btu per cubic foot of natural gas delivered to consumers by State (annual) and other components of consumption for U.S. (annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

235

Urban energy consumption and related carbon emission estimation: a study at the sector scale  

Science Journals Connector (OSTI)

With rapid economic development and energy consumption growth, China has become the largest energy consumer in the world. Impelled by extensive international concern, there ... an urgent need to analyze the chara...

Weiwei Lu; Chen Chen; Meirong Su; Bin Chen; Yanpeng Cai…

2013-12-01T23:59:59.000Z

236

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

1 2003 Commercial Delivered Energy Consumption Intensities, by Ownership of Unit (1) Ownership Nongovernment Owned 85.1 72% Owner-Occupied 87.3 35% Nonowner-Occupied 88.4 36%...

237

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

Gasoline and Diesel Fuel Update (EIA)

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

238

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

239

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 Commercial Delivered and Primary Energy Consumption Intensities, by Year Percent Delivered Energy Consumption Primary Energy Consumption Floorspace Post-2000 Total Consumption per Total Consumption per (million SF) Floorspace (1) (10^15 Btu) SF (thousand Btu/SF) (10^15 Btu) SF (thousand Btu/SF) 1980 50.9 N.A. 5.99 117.7 10.57 207.7 1990 64.3 N.A. 6.74 104.8 13.30 207.0 2000 (2) 68.5 N.A. 8.20 119.7 17.15 250.3 2010 81.1 26% 8.74 107.7 18.22 224.6 2015 84.1 34% 8.88 105.5 18.19 216.2 2020 89.1 43% 9.02 101.2 19.15 214.9 2025 93.9 52% 9.56 101.8 20.06 213.6 2030 98.2 60% 9.96 101.5 20.92 213.1 2035 103.0 68% 10.38 100.8 21.78 211.4 Note(s): Source(s): EIA, State Energy Consumption Database, June 2011 for 1980-2009; DOE for 1980 floorspace; EIA, Annual Energy Outlook 1994, Jan. 1994, Table A5, p. 62 for 1990 floorspace; EIA, AEO 2003, Jan. 2003, Table A5, p. 127 for 2000 floorspace; and EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012,

240

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

9 9 2003 Commercial Delivered Energy Consumption Intensities, by Principal Building Type and Vintage (1) | Building Type Pre-1959 1960-1989 1990-2003 | Building Type Pre-1959 1960-1989 1990-2003 Health Care 178.1 216.0 135.7 | Education 77.7 88.3 80.6 Inpatient 230.3 255.3 253.8 | Service 62.4 86.0 74.8 Outpatient 91.6 110.4 84.4 | Food Service 145.2 290.1 361.2 Food Sales 205.8 197.6 198.3 | Religious Worship 46.6 39.9 43.3 Lodging 88.2 111.5 88.1 | Public Order & Safety N.A. 101.3 110.6 Office 93.6 94.4 88.0 | Warehouse & Storage N.A. 38.9 33.3 Mercantile 80.4 91.8 94.4 | Public Assembly 61.9 107.6 119.7 Retail (Non-Malls) 74.1 63.7 86.4 | Vacant 21.4 23.1 N.A. Retail (Malls) N.A. 103.9 99.5 | Other 161.3 204.9 125.3 Note(s): Source(s): Consumption (kBtu/SF) Consumption (kBtu/SF) 1) See Table 3.1.3 for primary versus delivered energy consumption.

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

Does energy consumption by the US electric power sector exhibit long memory behavior?  

Science Journals Connector (OSTI)

This study analyzes energy consumption by the US electric power by various energy sources through fractional integration. In doing so, we are able to determine the level of persistence of the shocks affecting each energy source. The results indicate long memory behavior as each energy source is highly persistent, displaying long memory along with autoregressive behavior and strong seasonal patterns.

Luis A. Gil-Alana; David Loomis; James E. Payne

2010-01-01T23:59:59.000Z

242

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

243

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

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

244

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

4 4 Commercial Buildings Share of U.S. Natural Gas Consumption (Percent) Site Consumption Primary Consumption Total Commercial Industry Electric Gen. Transportation Commercial Industry Transportation (quads) 1980 13% 41% 19% 3% | 18% 49% 3% 20.22 1981 13% 42% 19% 3% | 18% 49% 3% 19.74 1982 14% 39% 18% 3% | 20% 45% 3% 18.36 1983 14% 39% 17% 3% | 19% 46% 3% 17.20 1984 14% 40% 17% 3% | 19% 47% 3% 18.38 1985 14% 40% 18% 3% | 19% 46% 3% 17.70 1986 14% 40% 16% 3% | 19% 46% 3% 16.59 1987 14% 41% 17% 3% | 19% 47% 3% 17.63 1988 15% 42% 15% 3% | 19% 47% 3% 18.44 1989 14% 41% 16% 3% | 19% 47% 3% 19.56 1990 14% 43% 17% 3% | 19% 49% 4% 19.57 1991 14% 43% 17% 3% | 19% 49% 3% 20.03 1992 14% 43% 17% 3% | 19% 49% 3% 20.71 1993 14% 43% 17% 3% | 19% 48% 3% 21.24 1994 14% 42% 18% 3% | 19% 48% 3% 21.75 1995 14% 42% 19% 3% | 20% 49% 3% 22.71 1996 14% 43% 17% 3% | 19% 49% 3% 23.14 1997 14% 43% 18% 3% | 20% 49% 3% 23.34 1998 13% 43% 20% 3% | 20% 50% 3% 22.86 1999 14%

245

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

1 1 Buildings Share of U.S. Petroleum Consumption (Percent) U.S. Petroleum Site Consumption Primary Consumption Total Buildings Industry Electric Gen. Transportation Buildings Industry Transportation (quads) 1980 9% 28% 8% 56% | 14% 31% 56% 34.2 1981 8% 26% 7% 59% | 12% 29% 59% 31.9 1982 8% 26% 5% 61% | 11% 28% 61% 30.2 1983 8% 25% 5% 62% | 12% 27% 62% 30.1 1984 9% 26% 4% 61% | 11% 27% 61% 31.1 1985 8% 25% 4% 63% | 11% 26% 63% 30.9 1986 8% 24% 5% 63% | 11% 26% 63% 32.2 1987 8% 25% 4% 63% | 11% 26% 63% 32.9 1988 8% 24% 5% 63% | 11% 26% 63% 34.2 1989 8% 24% 5% 63% | 11% 25% 63% 34.2 1990 7% 25% 4% 64% | 10% 26% 64% 33.6 1991 7% 24% 4% 65% | 9% 26% 65% 32.8 1992 7% 26% 3% 65% | 9% 27% 65% 33.5 1993 7% 25% 3% 65% | 9% 26% 65% 33.8 1994 6% 25% 3% 65% | 8% 26% 65% 34.7 1995 6% 25% 2% 67% | 8% 26% 67% 34.6 1996 6% 25% 2% 66% | 8% 26% 66% 35.8 1997 6% 26% 3% 66% | 8% 26% 66% 36.3 1998 5% 25% 4% 66% | 8% 26% 66% 36.9 1999 6% 25% 3% 66% | 8% 26% 66% 38.0 2000 6% 24%

246

Residential and commercial buildings data book: Third edition  

SciTech Connect (OSTI)

This Data Book updates and expands the previous Data Book originally published by the Department of Energy in September, 1986 (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; and Additional Buildings and Community Systems Information. 12 refs., 59 figs., 118 tabs.

Amols, G.R.; Howard, K.B.; Nicholls, A.K.; Guerra, T.D.

1988-02-01T23:59:59.000Z

247

Residential Transportation Historical Publications reports, data and  

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

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

248

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

Gasoline and Diesel Fuel Update (EIA)

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

249

Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption  

Buildings Energy Data Book [EERE]

3 3 Energy Use of Wastewater Treatment Plants by Capacity and Treatment Level (kWh per Million Gallons) 1 - 5 - 10 - 20 - 50 - 100 - Note(s): Source(s): 673 1,028 1,188 1,558 The level of treatment indicates the amount of processing involved before water is released from the treatment facility. Primary treatment removes solids and oils from wastewater. Secondary treatment uses biological processes to remove organic material from the water. Tertiary treatment includes additional processes to further refine the water. Nitrification is a process to remove nitrogen from water. Electric Power Research Institute, Water & Sustainability (Volume 4): U.S. Electricity Consumption for Water Supply & Treatment - The Next Half Century,

250

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

251

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

252

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

SciTech Connect (OSTI)

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

Not Available

1994-10-01T23:59:59.000Z

253

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 Buildings Share of U.S. Primary Energy Consumption (Percent) Total Consumption Total Industry Transportation Total (quads) 1980(1) 20.1% 13.5% | 33.7% 41.1% 25.2% 100% | 78.1 1981 20.0% 13.9% | 33.9% 40.4% 25.6% 100% | 76.1 1982 21.2% 14.8% | 36.0% 37.9% 26.1% 100% | 73.1 1983 21.1% 15.0% | 36.1% 37.7% 26.3% 100% | 72.9 1984 20.8% 14.9% | 35.7% 38.7% 25.7% 100% | 76.6 1985 21.0% 15.0% | 35.9% 37.8% 26.3% 100% | 76.5 1986 20.8% 15.1% | 35.9% 37.0% 27.1% 100% | 76.6 1987 20.5% 15.1% | 35.6% 37.2% 27.2% 100% | 79.0 1988 20.7% 15.2% | 35.9% 37.2% 27.0% 100% | 82.8 1989 20.9% 15.5% | 36.5% 37.0% 26.5% 100% | 84.8 1990 20.0% 15.7% | 35.8% 37.7% 26.5% 100% | 84.5 1991 20.6% 16.0% | 36.5% 37.3% 26.2% 100% | 84.4 1992 20.2% 15.6% | 35.8% 38.0% 26.1% 100% | 85.8 1993 20.8% 15.8% | 36.6% 37.4% 26.0% 100% | 87.5 1994 20.3% 15.8% | 36.1% 37.7% 26.2% 100% | 89.1 1995 20.3% 16.1% | 36.4% 37.4% 26.2% 100% | 91.1 1996 20.7%

254

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

E-Print Network [OSTI]

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

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

255

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

9 9 Buildings Share of U.S. Electricity Consumption (Percent) Total Industry Transportation Total | (quads) 1980 34% 27% | 61% 39% 0% 100% | 7.15 1981 34% 28% | 61% 38% 0% 100% | 7.33 1982 35% 29% | 64% 36% 0% 100% | 7.12 1983 35% 29% | 64% 36% 0% 100% | 7.34 1984 34% 29% | 63% 37% 0% 100% | 7.80 1985 34% 30% | 64% 36% 0% 100% | 7.93 1986 35% 30% | 65% 35% 0% 100% | 8.08 1987 35% 30% | 65% 35% 0% 100% | 8.38 1988 35% 30% | 65% 35% 0% 100% | 8.80 1989 34% 31% | 65% 35% 0% 100% | 9.03 1990 34% 31% | 65% 35% 0% 100% | 9.26 1991 35% 31% | 66% 34% 0% 100% | 9.42 1992 34% 31% | 65% 35% 0% 100% | 9.43 1993 35% 31% | 66% 34% 0% 100% | 9.76 1994 34% 31% | 65% 34% 0% 100% | 10.01 1995 35% 32% | 66% 34% 0% 100% | 10.28 1996 35% 32% | 67% 33% 0% 100% | 10.58 1997 34% 33% | 67% 33% 0% 100% | 10.73 1998 35% 33% | 68% 32% 0% 100% | 11.14 1999 35% 33% | 68% 32% 0% 100% | 11.30 2000 35% 34% | 69% 31% 0% 100% | 11.67 2001 35% 35% | 70% 29% 0% 100% | 11.58 2002 37% 35% | 71% 29% 0% 100% | 11.82

256

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 2003 Commercial Buildings Delivered Energy End-Use Intensities, by Building Activity (Thousand Btu per SF) (1) Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Note(s): Source(s): 43.5 45.2 164.4 20.9 1) Due to rounding, end-uses do not sum to total. EIA, 2003 Commercial Building Energy Consumption Survey, Energy End-Uses, Oct. 2008, Table E.2A. 0.3 0.6 3.0 N.A. 4.9 4.8 18.9 3.1 1.7 3.5 6.0 N.A. 0.1 0.2 N.A. N.A. 4.4 13.1 34.1 1.7 0.8 N.A. N.A. N.A. 1.4 2.0 6.1 0.4 0.8 0.6 2.1 0.1 26.2 19.3 79.4 14.4 2.9 1.3 10.5 0.6 Religious

257

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

0 0 Buildings Share of U.S. Natural Gas Consumption (Percent) Total Buildings Industry Electric Gen. Transportation Buildings Industry Transportation 1980 37% 41% 19% 3% | 48% 49% 3% 20.22 1981 36% 42% 19% 3% | 48% 49% 3% 19.74 1982 40% 39% 18% 3% | 51% 45% 3% 18.36 1983 40% 39% 17% 3% | 51% 46% 3% 17.20 1984 39% 40% 17% 3% | 50% 47% 3% 18.38 1985 39% 40% 18% 3% | 51% 46% 3% 17.70 1986 41% 40% 16% 3% | 51% 46% 3% 16.59 1987 39% 41% 17% 3% | 50% 47% 3% 17.63 1988 40% 42% 15% 3% | 50% 47% 3% 18.44 1989 39% 41% 16% 3% | 50% 47% 3% 19.56 1990 36% 43% 17% 3% | 47% 49% 4% 19.57 1991 37% 43% 17% 3% | 48% 49% 3% 20.03 1992 37% 43% 17% 3% | 48% 49% 3% 20.71 1993 38% 43% 17% 3% | 48% 48% 3% 21.24 1994 36% 42% 18% 3% | 48% 48% 3% 21.75 1995 35% 42% 19% 3% | 48% 49% 3% 22.71 1996 37% 43% 17% 3% | 48% 49% 3% 23.14 1997 36% 43% 18% 3% | 48% 49% 3% 23.34 1998 34% 43% 20% 3% | 47% 50% 3% 22.86 1999 35% 41% 21% 3% | 49% 48% 3% 22.88 2000 35% 40% 22% 3% | 50% 47% 3% 23.66 2001

258

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

Abstract The share of the residential sector currently accounts for about 25% of the national electricity consumption in Turkey. Due to increase in household income levels and decrease in the costs of appliances; significant increases in appliance ownerships and residential electricity consumption levels have been observed in recent years. Most domestic appliances continue consuming electricity when they are not performing their primary functions, i.e. at standby mode, which can constitute up 15% of the total household electricity consumption in some countries. Although the demand in Turkish residential electricity consumption is increasing, there are limited studies on the components of the residential electricity consumption and no studies specifically examining the extent and effects of standby electricity consumption using a surveying/measurement methodology. Thus, determining the share of standby electricity consumption in total home electricity use and the ways of reducing it are important issues in residential energy conservation strategies. In this study, surveys and standby power measurements are conducted at 260 households in Ankara, Turkey, to determine the amount, share, and saving potentials of the standby electricity consumption of Turkish homes. The survey is designed to gather information on the appliance properties, lights, electricity consumption behavior, economic and demographics of the occupants, and electricity bills. A total of 1746 appliances with standby power are measured in the surveyed homes. Using the survey and standby power measurements data, the standby, active, and lighting end-use electricity consumptions of the surveyed homes are determined. The average Turkish household standby power and standby electricity consumption are estimated as 22 W and 95 kW h/yr, respectively. It was also found that the standby electricity consumption constitutes 4% of the total electricity consumption in Turkish homes. Two scenarios are then applied to the surveyed homes to determine the potentials in reducing standby electricity consumption of the households.

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

259

OpenEI - Residential  

Open Energy Info (EERE)

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

260

EIA - International Energy Outlook 2007 - Energy Consumption by End-Use  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector International Energy Outlook 2007 Chapter 2 - Energy Consumption by End-Use Sector In the IEO2007 projections, end-use energy consumption depends on resource endowment, economic growth, and other political, social, and demographic factors.. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is dominated by petroleum-based liquids products at present, the mix of energy use in the residential, commercial, and industrial sectors varies widely by region, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social,

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

Economics of residential gas furnaces and water heaters in US new construction market  

E-Print Network [OSTI]

2001 Residential Energy Consumption Survey (RECS 2001; USenergy consumption of residential furnaces and boilers in U.S.US Department of Energy (2001). Residential energy consump- tion survey: household energy consumption

Lekov, Alex B.; Franco, Victor H.; Wong-Parodi, Gabrielle; McMahon, James E.; Chan, Peter

2010-01-01T23:59:59.000Z

262

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 World Primary Energy Consumption and Population, by Country/Region 1990-2000 2000-2010 Region/Country 1990 2000 2010 1990 2000 2010 Energy Pop. Energy Pop. United States 85.0 99.8 97.8 18.7% 250 282 311 4.6% 1.6% 1.2% -0.2% 1.0% China 27.0 36.4 104.6 20.0% 1,148 1,264 1,343 20.0% 3.0% 1.0% 11.1% 0.6% OECD Europe 69.9 76.8 79.6 15.2% 402 522 550 8.2% 0.9% 2.6% 0.4% 0.5% Other Non-OECD Asia 12.5 20.6 31.3 6.0% 781 1,014 1,086 16.2% 5.1% 2.6% 4.2% 0.7% Russia (1) 61.0 27.2 29.9 5.7% 288 147 140 2.1% -7.7% -6.5% 0.9% -0.5% Central & S. America 14.5 20.8 28.1 5.4% 359 422 462 6.9% 3.7% 1.6% 3.0% 0.9% Middle East 11.2 17.3 27.6 5.3% 135 173 213 3.2% 4.5% 2.5% 4.8% 2.1% Japan 18.8 22.4 20.8 4.0% 124 127 127 1.9% 1.8% 0.3% -0.8% 0.0% India 7.9 13.5 23.8 4.6% 838 1,006 1,214 18.1% 5.5% 1.8% 5.9% 1.9% Canada 11.0 13.1 14.3 2.7% 28 31 34 0.5% 1.8% 1.1% 0.9% 0.9% Oth. Non-OECD Europe 6.4 17.6

263

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Commercial Primary Energy Consumption, by Year and Fuel Type (Quadrillion Btu and Percent of Total) Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total Total(3) 2010-Year 1980 2.63 24.9% 1.31 12.4% 0.12 1.1% 0.02 0.2% 1.91 4.58 6.49 61.4% 1981 2.54 23.9% 1.12 10.5% 0.14 1.3% 0.02 0.2% 2.03 4.76 6.80 64.1% 1982 2.64 24.3% 1.03 9.5% 0.16 1.4% 0.02 0.2% 2.08 4.91 6.99 64.5% 1983 2.48 22.7% 1.16 10.7% 0.16 1.5% 0.02 0.2% 2.12 4.98 7.09 65.0% 1984 2.57 22.5% 1.22 10.7% 0.17 1.5% 0.02 0.2% 2.26 5.17 7.43 65.1% 1985 2.47 21.6% 1.08 9.4% 0.14 1.2% 0.02 0.2% 2.35 5.39 7.74 67.6% 1986 2.35 20.3% 1.16 10.0% 0.14 1.2% 0.03 0.2% 2.44 5.47 7.91 68.3% 1987 2.47 20.8% 1.13 9.5% 0.13 1.1% 0.03 0.2% 2.54 5.62 8.16 68.5% 1988 2.72 21.6% 1.09 8.7% 0.13 1.0% 0.03 0.3% 2.68 5.92 8.60 68.4% 1989 2.77 21.0% 1.04 7.9% 0.12 0.9% 0.10 0.8% 2.77 6.39 9.16 69.5% 1990 2.67 20.1%

264

Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption  

Buildings Energy Data Book [EERE]

2 2 U.S. Buildings Site Renewable Energy Consumption (Quadrillion Btu) (1) Growth Rate Wood (2) Solar Thermal (3) Solar PV (3) GSHP (4) Total 2010-Year 1980 0.867 0.000 N.A. 0.000 0.867 - 1981 0.894 0.000 N.A. 0.000 0.894 - 1982 0.993 0.000 N.A. 0.000 0.993 - 1983 0.992 0.000 N.A. 0.000 0.992 - 1984 1.002 0.000 N.A. 0.000 1.002 - 1985 1.034 0.000 N.A. 0.000 1.034 - 1986 0.947 0.000 N.A. 0.000 0.947 - 1987 0.882 0.000 N.A. 0.000 0.882 - 1988 0.942 0.000 N.A. 0.000 0.942 - 1989 1.018 0.052 N.A. 0.008 1.078 - 1990 0.675 0.056 N.A. 0.008 0.739 - 1991 0.705 0.057 N.A. 0.009 0.771 - 1992 0.744 0.059 N.A. 0.010 0.813 - 1993 0.657 0.061 N.A. 0.010 0.728 - 1994 0.626 0.063 N.A. 0.010 0.700 - 1995 0.633 0.064 N.A. 0.011 0.708 - 1996 0.669 0.065 N.A. 0.012 0.746 - 1997 0.559 0.064 N.A. 0.013 0.636 - 1998 0.498 0.064 N.A. 0.015 0.577 - 1999 0.521 0.063 N.A. 0.016 0.599 - 2000 0.549 0.060 N.A. 0.016 0.625 - 2001

265

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book [EERE]

2 2 Commercial Site Renewable Energy Consumption (Quadrillion Btu) (1) Growth Rate Wood (2) Solar Thermal (3) Solar PV (3) GHP Total 2010-Year 1980 1981 1982 1983 1984 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 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 0.110 0.035 0.010 N.A. 0.155 0.4% 0.110 0.035 0.009 N.A. 0.154 0.4% 0.110 0.035 0.009 N.A. 0.153 0.4% 0.110 0.034 0.009 N.A. 0.153 0.4% 0.110 0.034 0.009 N.A. 0.152 0.4% 0.110 0.034 0.008 N.A. 0.152 0.4% 0.110 0.034 0.008 N.A. 0.151 0.4% 0.110 0.033 0.008 N.A. 0.151 0.4% 0.110 0.033 0.008 N.A. 0.150 0.4% 0.110 0.033 0.007 N.A. 0.150 0.4% 0.110 0.032 0.007 N.A. 0.149 0.4% 0.110 0.032 0.007 N.A. 0.149 0.4% 0.110 0.032 0.007 N.A. 0.149 0.5% 0.110 0.032 0.007 N.A. 0.149 0.5% 0.110 0.032 0.007 N.A. 0.148 0.6%

266

Survey Consumption  

Gasoline and Diesel Fuel Update (EIA)

fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

267

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

268

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

Gasoline and Diesel Fuel Update (EIA)

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

269

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

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

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

270

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 99.8 District of Columbia 193.1 Louisiana 585.8 Alaska 277.3 Wyoming 974.7 2 West Virginia 90.9 Wyoming 119.2 Wyoming 568.2 Wyoming 200.7 Louisiana 886.5 3 Missouri 89.4 North Dakota 106.9 Alaska 435.7 North Dakota 172.8 Alaska 881.3 4 Tennessee 87.8 Alaska 94.1 North Dakota 388.9 Louisiana 158.0 North Dakota 768.4 5 Kentucky 87.4 Montana 78.4 Iowa 243.4 Oklahoma 122.3 Iowa 493.6

271

Convergence of carbon dioxide emissions in different sectors in China  

Science Journals Connector (OSTI)

Abstract In this paper, we analyze differences in per capita carbon dioxide emissions from 1996 to 2010 in six sectors across 28 provinces in China and examine the ?-convergence, stochastic convergence and ?-convergence of these emissions. We also investigate the factors that impact the convergence of per capita carbon dioxide emissions in each sector. The results show that per capita carbon dioxide emissions in all sectors converged across provinces from 1996 to 2010. Factors that impact the convergence of per capita carbon dioxide emissions in each sector vary: GDP (gross domestic product) per capita, industrialization process and population density impact convergence in the Industry sector, while GDP per capita and population density impact convergence in the Transportation, Storage, Postal, and Telecommunications Services sector. Aside from GDP per capita and population density, trade openness also impacts convergence in the Wholesale, Retail, Trade, and Catering Service sector. Population density is the only factor that impacts convergence in the Residential Consumption sector.

Juan Wang; Kezhong Zhang

2014-01-01T23:59:59.000Z

272

About Residential | Department of Energy  

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

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

273

Residential Lighting  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

274

Residential Weatherization  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

275

Essays on the Impact of Climate Change and Building Codes on Energy Consumption and the Impact of Ozone on Crop Yield  

E-Print Network [OSTI]

on Residen- iv tial Electricity Consumption 8 Introduction 9Observed residential electricity consumption 2003 to 2006total residential electricity consumption for 2006 by five-

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

276

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

277

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

278

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

Gasoline and Diesel Fuel Update (EIA)

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

279

Electricity Generation and Consumption by State (2008 ) | OpenEI  

Open Energy Info (EERE)

Generation and Consumption by State (2008 ) Generation and Consumption by State (2008 ) Dataset Summary Description Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008, reported in GWh, and total electricity generation by sector (e.g. wind, solar, nuclear, coal) for all states in 2008, reported in GWh. Source NREL Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords EIA Electricity Consumption Electricity Generation States Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 2008 State Electricity Generation and Consumption (format: xls) (xlsx, 56.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Other or unspecified, see optional comment below

280

Household Vehicles Energy Consumption 1991  

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

C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

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

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

282

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

283

Building Technologies Office: Residential Building Activities  

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

284

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

E-Print Network [OSTI]

residential/commercial primary energy consumption and carbonthe savings in primary energy consumption using factors forsite energy to primary energy consumption. The model uses

Meyers, Stephen P.

2008-01-01T23:59:59.000Z

285

Sectoral trends in global energy use and greenhouse gas emissions  

E-Print Network [OSTI]

Building Sector Electricity Consumption parameter logisticin Building Sector Electricity Consumption iii iv Sectoralsome water with electricity consumption, it is not possible

2006-01-01T23:59:59.000Z

286

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

287

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

288

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...

289

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

290

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...

291

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...

292

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

293

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

294

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

295

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

296

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

297

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

298

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

299

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (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...

300

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

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

302

Quantifying the Effect of the Principal-Agent Problem on US Residential Energy Use  

E-Print Network [OSTI]

Residential Energy Consumption Survey (U.S. EIA 2004a) toand energy consumption for refrigeration are from RECS (U.S.Residential Energy Consumption Survey 2001 (RECS 2001) (U.S.

Murtishaw, Scott; Sathaye, Jayant

2006-01-01T23:59:59.000Z

303

2005 Residential Energy Consumption Survey  

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

D (2005) - Household Propane (Bottled Gas or LPG) Usage Form D (2005) - Household Propane (Bottled Gas or LPG) Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Propane (Bottled Gas or LPG) Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality

304

2005 Residential Energy Consumption Survey  

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

F (2005) - Household Natural Gas Usage Form F (2005) - Household Natural Gas Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Natural Gas Usage Form Service Address: If the customer account number is not shown above, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and provide the requested information for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions. Use the enclosed self-addressed envelope and return the completed form to:

305

2005 Residential Energy Consumption Survey  

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

G (2005) - Household Fuel Oil or Kerosene Usage Form G (2005) - Household Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Fuel Oil or Kerosene Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions.

306

2005 Residential Energy Consumption Survey  

Gasoline and Diesel Fuel Update (EIA)

in gallons, of this household's storage tank(s)? Enter the capacity for the two largest tanks (if there is more than one) in the boxes below. If the capacity is not known, write...

307

Natural gas consumption | OpenEI  

Open Energy Info (EERE)

gas consumption gas consumption Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

308

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

309

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

310

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

311

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

312

Residential and commercial buildings data book. Second edition  

SciTech Connect (OSTI)

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

313

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

Gasoline and Diesel Fuel Update (EIA)

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

314

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

Gasoline and Diesel Fuel Update (EIA)

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

315

Residential Demand Response under Uncertainty  

Science Journals Connector (OSTI)

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems w...

Paul Scott; Sylvie Thiébaux…

2013-01-01T23:59:59.000Z

316

Cost-effective and comfort-aware residential energy management under different pricing schemes and weather conditions  

Science Journals Connector (OSTI)

Abstract Nowadays with the emerging of smart micro-grids(SM-Gs) in residential sectors, a large portion of energy consumption can be saved through optimal scheduling of household devices and management of domestic hybrid energy sources. By the aid of such technologies, residential consumers have the capability to mitigate their energy costs and satisfy their own requirements paying less attention to the configuration of the energy supply system. This paper presents a novel residential energy management system (REMS) to improve the efficiency of energy consumption in a typical SM-G taking into account minimum cost of energy as well as maximum user's comfort level as competitive objectives. The optimization model is also formulated as a mixed integer nonlinear problem (MINLP) and its performance is tested under different operating scenarios with real data. The simulation results show that the proposed model not only reduces energy consumption costs, but also ensures a comfortable lifestyle for occupants.

Amjad Anvari-Moghaddam; Hassan Monsef; Ashkan Rahimi-Kian

2015-01-01T23:59:59.000Z

317

Energy Management and Cost Analysis in Residential Houses using Batteries  

E-Print Network [OSTI]

consumption constitutes 38% of the total energy consumption in the US, with millions of individual customers}@ucsd.edu Abstract--Residential energy consumption shows significant diurnal patterns that can be leveraged by energy, like smart metering, allow residential energy consumption to be monitored and managed more effectively

Simunic, Tajana

318

Prioritizing Climate Change Mitigation Alternatives: Comparing Transportation Technologies to Options in Other Sectors  

E-Print Network [OSTI]

Energy Through Greater Efficiency: The Potential for Conservation in California’s Residential Sector. Report

Lutsey, Nicholas P.

2008-01-01T23:59:59.000Z

319

Residential | Open Energy Information  

Open Energy Info (EERE)

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

320

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  

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

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  

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

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

322

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

323

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

324

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

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

Distribution Category UC-98 Distribution Category UC-98 Consumption End-Use A Comparison of Measures by Consumption and Supply Surveys Energy information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, D.C. 20585 General information concerning the contents of the report may be obtained from Lynda T. Carlson, Director of the Energy End Use Division (202/586-1112). Specific information regarding the contents or preparation of the publication may be obtained from Nancy L. Leach, Chief of the Residential and Commercial Branch (202/586-1114). The Residential Energy Consumption Survey manager and a major contributor to this report is Wendel Thompson (202/586-1119). The report was written by Gerald Peabody (202/586-6160). Energy Consumption by End-Use Sector

325

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

E-Print Network [OSTI]

ABORATORY Japan’s Residential Energy Demand Outlook to 2030o r n i a Japan’s Residential Energy Demand Outlook to 2030residential sector, where energy demand has grown vigorously

Komiyama, Ryoichi

2008-01-01T23:59:59.000Z

326

Energy Information Administration - Transportation Energy Consumption by  

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

Energy Consumption Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply surveys, directed to the suppliers and marketers of specific energy sources, that measure the quantities of specific fuels produced for and/or supplied to the market; and consumption surveys, which gather information on the types of energy used by consumer groups along with the consumer characteristics that are associated with energy use. In the transportation sector, EIA's core consumption survey was the Residential Transportation Energy Consumption Survey. RTECS belongs to the consumption group because it collects information directly from the consumer, the household. For roughly a decade, EIA fielded the RTECS--data were first collected in 1983. This survey, fielded for the last time in 1994, was a triennial survey of energy use and expenditures, vehicle miles-traveled (VMT), and vehicle characteristics for household vehicles. For the 1994 survey, a national sample of more than 3,000 households that own or use some 5,500 vehicles provided data.

327

Household Vehicles Energy Consumption 1994 - Appendix C  

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

Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses undercoverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1994 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1994 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics

328

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

E-Print Network [OSTI]

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

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

329

Non-residential | OpenEI  

Open Energy Info (EERE)

05 05 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278105 Varnish cache server Non-residential Dataset Summary Description Natural gas consumption data from the California Energy Commission sorted by County for Residential and Non-residential from 2006 to 2009. Source California Energy Commission Date Released Unknown Date Updated Unknown Keywords annual energy consumption Energy Consumption Natural Gas Non-residential Residential Data text/csv icon Natural Gas Consumption By County (csv, 17 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006-2009 License License Other or unspecified, see optional comment below

330

Building Technologies Residential Survey  

SciTech Connect (OSTI)

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

331

OpenEI - Energy Consumption  

Open Energy Info (EERE)

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

332

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

333

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

334

Residential Buildings  

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

335

Lifestyle change and energy use in Japan: Household equipment and energy consumption  

Science Journals Connector (OSTI)

Energy use in the Japanese residential sector has more than doubled (on a per-household basis) during the post-war period. Important factors contributing to the increase include changes in the types of housing built, heating, cooling, water-heating equipment, and other appliances. In this paper, the developments of household equipment and living conditions in Japan are described, from their 1950s state to the present. Trends in energy consumption by fuel types and end uses are reviewed over the same period. The past trends are combined with expectations for future developments in household equipment and quality, as well as with international comparisons of household-energy use, to predict further increases in household-energy consumption. The results indicate the importance of a renewed emphasis on energy efficiency in the residential sector.

Hidetoshi Nakagami

1996-01-01T23:59:59.000Z

336

Commercial and Residential Hourly Load Profiles for all TMY3...  

Open Energy Info (EERE)

America House Simulation Protocols). This dataset also uses the Residential Energy Consumption Survey (RECS) for statistical references of building types by location (Additional...

337

Community based outreach strategies in residential energy upgrade programs  

E-Print Network [OSTI]

Home energy upgrades can reduce residential energy consumption and improve indoor conditions, thereby realizing environmental, economic, health and other social benefits. Utilities, government and other actors have established ...

McEwen, Brendan (Brendan Carl Francis)

2012-01-01T23:59:59.000Z

338

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

Gasoline and Diesel Fuel Update (EIA)

0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 0. Comparisons of energy consumption by sector projections, 2025, 2035, and 2040 (quadrillion Btu) Sector AEO2013 Reference INFORUM IHSGI ExxonMobil IEA 2011 Residential 11.3 11.5 10.8 -- -- Residential excluding electricity 6.4 6.6 6.0 5.0 -- Commercial 8.6 8.6 8.5 -- -- Commercial excluding electricity 4.1 4.1 4.0 4.0 -- Buildings sector 19.9 20.1 19.3 -- 19.3a Industrial 24.0 23.6 -- -- 23.7a Industrial excluding electricity 20.7 20.2 -- 20.0 -- Lossesb 0.7 -- -- -- -- Natural gas feedstocks 0.5 -- -- -- -- Industrial removing losses and feedstocks 22.9 -- 21.7 -- -- Transportation 27.1 27.2 26.2 27.0 23.1a Electric power 39.4 39.2 40.5 37.0 37.2a Less: electricity demandc 12.7 12.8 12.7 -- 15.0a

339

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

340

INTERNATIONAL COMPARISON OF RESIDENTIAL GAS USE AND CONSERVATION  

E-Print Network [OSTI]

Energy through G Efficiency: The Potential for Conservation in CaliforniaPs Residential Sector, To appear as Law, Berk. Lab report,

Schipper, Lee

2011-01-01T23:59:59.000Z

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

ENERGY CONSUMPTION SURVEY  

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

5 RESIDENTIAL TRANSPORTATION 5 RESIDENTIAL TRANSPORTATION ENERGY CONSUMPTION SURVEY Prepared for: UNITED STATES DEPARTMENT OF ENERGY ENERGY INFORMATION ADMINISTRATION OFFICE OF ENERGY MARKETS AND END USE ENERGY END USE DIVISION RESIDENTIAL AND COMMERCIAL BRANCH WASHINGTON, DC 20585 Prepared by: THE ORKAND CORPORATION 8484 GEORGIA AVENUE SILVER SPRING, MD 20910 October 1986 Contract Number DE-AC01-84EI19658 TABLE OF CONTENTS FRONT MATTER Index to Program Descriptions........................................... vi List of Exhibits ....................................................... viii Acronyms and Abbreviations ............................................. ix SECTION 1: GENERAL INFORMATION ........................................ 1-1 1.1. Summary ....................................................... 1-1

342

Energy Use in China: Sectoral Trends and Future Outlook  

E-Print Network [OSTI]

the end user while primary energy consumption includes finalWEC 2001). GDP Primary Energy Consumption (EJ) natural gasHistorical Primary Energy Consumption by sector Energy Use

2008-01-01T23:59:59.000Z

343

Sectoral trends in global energy use and greenhouse gas emissions  

E-Print Network [OSTI]

not provide data on primary energy consumption by sector. Inconsumption into primary energy consumption by multiplyingA.3.5 provides primary energy consumption values for the

2006-01-01T23:59:59.000Z

344

Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential  

SciTech Connect (OSTI)

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

NONE

1995-04-01T23:59:59.000Z

345

Issues in International Energy Consumption Analysis: Electricity...  

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

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

346

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 . Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,931.3 651.0 614.8 549.5 1,815.4 411.8 260.6 -556.6 0.0 376.9 257.2 810.0 487.2 Alaska 637.9 15.5 337.0 267.1 619.6 0.0 18.4 0.0 (s) 53.7 68.2 315.4 200.7 Arizona 1,431.5 459.9 293.7 500.9 1,254.5 327.3 136.6 -288.4 1.5 394.7 345.5 221.2 470.1 Arkansas 1,117.1 306.1 288.6 335.7 930.5 148.5 123.7 -85.6 0.0 246.3 174.7 405.0 291.2 California 7,858.4 55.3 2,196.6 3,405.8 5,657.6 383.6 928.5 868.6 20.1 1,516.1 1,556.1 1,785.7 3,000.5 Colorado 1,480.8 368.9 476.5 472.9 1,318.3

347

SMUD's Residential Summer Solutions Study  

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

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

348

Ranking cost effective energy conservation measures for heating in Hellenic residential buildings  

Science Journals Connector (OSTI)

Abstract Residential buildings comprise the biggest segment of the European building stock and they are responsible for the majority of the building's sector energy consumption and CO2 emissions. This paper documents the potential benefits and sets the priorities of individual energy conservation measures (ECMs) to reduce heating energy consumption in Hellenic residential buildings, including space heating and domestic hot water production. The analysis is facilitated by using the available Hellenic typology for residential buildings that consists of 24 typical buildings, derived after a classification in three construction periods, two building sizes and four climate zones. The focus is mainly on the implementation of \\{ECMs\\} that have low first-cost investment and short payback period. In order to prioritize \\{ECMs\\} that would be most attractive to building owners, two ranking criteria are used, namely primary heating energy savings and payback period. Finally, the preliminary results are used to provide an insight on the potential abatement of CO2 emissions for the national residential building stock.

K.G. Droutsa; S. Kontoyiannidis; E.G. Dascalaki; C.A. Balaras

2014-01-01T23:59:59.000Z

349

Residential Buildings  

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

350

Residential Marketing Toolkit  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

351

Residential Energy Efficiency Stakeholder Meeting - Spring 2012 |  

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

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

352

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

SciTech Connect (OSTI)

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

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

353

An analysis of residential energy conservation in Wisconsin  

SciTech Connect (OSTI)

This study develops a simple tax policy strategy that would encourage the residential sector in Wisconsin to invest in energy conservation. The long-range objectives of the program were to reduce overall natural gas consumption by a certain percentage and to stabilize electricity consumption growth. The authors conduct a detailed energy analysis of a typical house in Madison, Wisconsin, using actual data. Twenty-eight energy conservation measures (ECMs) for natural gas and six ECMs for electricity use in this typical house are compared. The economic evaluation is based on cost of conserved energy. The model explores the long range impacts of the tax programs and they find that a simple tax credit program compares well with the rebate-based residential energy conservation programs. They determine that the most effective, yet simple and equitable, approach would be through a 33 percent tax credit that homeowners and renters could take on their annual state income tax forms. The program could be administered through the state energy office so that funding for the program could be provided through federal energy conservation programs like the Oil Overcharge Fund.

Sarkar, A. [Resource Management Associates, Madison, WI (United States); Clemmer, S. [Wisconsin Dept. of Administration, Madison, WI (United States). Energy Bureau; Simon, J. [Campaign for a Prosperous Georgia, Atlanta, GA (United States)

1995-11-01T23:59:59.000Z

354

Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris Aksanli, Tajana Simuni Rosing  

E-Print Network [OSTI]

, green energy, residential energy management, smart scheduling I. INTRODUCTION Building energy nature of home energy consumption [5]. A majority of work has focused on characterizing green energyResidential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris

Simunic, Tajana

355

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

E-Print Network [OSTI]

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

Zhou, Nan

2008-01-01T23:59:59.000Z

356

Residential Consumption of Natural Gas (Summary)  

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

4,722,358 4,892,277 4,778,907 4,782,412 4,713,777 4,148,970 4,722,358 4,892,277 4,778,907 4,782,412 4,713,777 4,148,970 1930-2012 Alabama 35,481 37,793 36,061 42,215 36,582 27,582 1967-2012 Alaska 19,843 21,439 19,978 18,714 20,262 21,380 1967-2012 Arizona 38,321 38,453 34,732 37,812 38,592 34,974 1967-2012 Arkansas 32,731 35,718 33,252 36,240 33,737 26,191 1967-2012 California 492,378 489,304 480,721 494,890 512,565 477,931 1967-2012 Colorado 130,971 133,947 128,993 131,224 130,116 115,306 1967-2012 Connecticut 43,348 42,935 43,995 42,729 44,719 41,050 1967-2012 Delaware 10,000 9,875 10,049 10,126 10,030 8,564 1967-2012 District of Columbia 13,371 13,222 13,466 13,608 12,386 11,260 1980-2012 Florida 15,066 15,594 15,214 18,744 16,400 14,395 1967-2012 Georgia

357

Residential Consumption of Natural Gas (Summary)  

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

201,662 124,885 113,148 105,298 122,276 212,126 1973-2014 Alabama 1,362 814 774 758 725 1,138 1989-2014 Alaska 800 678 545 538 875 1,767 1989-2014 Arizona 1,720 1,253 1,077 1,007...

358

Energy Preview: Residential Transportation Energy Consumption...  

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

... Donna Dunston 202-586-6135 Section 5. Oil and Gas Resource Development ... Herbert T. Black 202-586-4055 Section 6. Coal...

359

Connecticut Natural Gas Residential Consumption (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,412 5,891 5,717 3,694 2,231 1,296 1,114 996 1,138 1,986 3,221 6,991 1990 6,690 5,673 5,000 3,708 2,203 1,345 1,100 931...

360

Connecticut Natural Gas Residential Consumption (Million Cubic...  

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

Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 26,177 26,437 29,048 1970's 31,187 31,878 32,879 30,261 33,417 32,143 32,310 31,069 31,800...

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

Residential Consumption of Natural Gas (Summary)  

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

368,670 193,869 128,608 112,802 108,847 120,681 1973-2013 368,670 193,869 128,608 112,802 108,847 120,681 1973-2013 Alabama 2,208 1,330 984 718 771 783 1989-2013 Alaska 1,901 1,121 589 500 593 994 1989-2013 Arizona 2,272 1,674 1,226 1,052 1,031 1,132 1989-2013 Arkansas 2,516 1,424 758 633 634 577 1989-2013 California 31,397 26,182 22,863 20,883 21,203 19,688 1989-2013 Colorado 12,415 6,719 3,653 2,677 2,661 3,201 1989-2013 Connecticut 4,273 1,676 1,202 903 981 1,167 1989-2013 Delaware 711 NA 196 149 158 180 1989-2013 District of Columbia 743 438 NA 274 248 275 1989-2013 Florida NA 959 639 703 712 842 1989-2013 Georgia 7,299 5,281 3,680 3,607 3,640 3,650 1989-2013 Hawaii 49 50 50 47 47 47 1989-2013 Idaho 1,844 897 649 471 422 647 1989-2013 Illinois

362

Indianapolis Power & Light - Residential Energy Incentives Program |  

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

Indianapolis Power & Light - Residential Energy Incentives Program Indianapolis Power & Light - Residential Energy Incentives Program Indianapolis Power & Light - Residential Energy Incentives Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Program Info State Indiana Program Type Utility Rebate Program Rebate Amount CFLs: In store discounts A/C Cycling: $20/summer Split System AC: $300 - $400 Air Source Heat Pump: $200 - $300 Home Energy Evaluation and Energy Efficiency Kit: Free Refrigerator/Freezer Recycling: $30/unit Provider IPL Energy Incentives Program The Indianapolis Power and Light Energy Incentives Programs assist residential customers with reducing energy consumption. The program offers

363

Residential building solar thermal analysis| A case study on Sophia Gordon Hall.  

E-Print Network [OSTI]

?? Solar thermal technologies, such as residential hot water heating and space conditioning, have potential for reducing green house gas emissions and fossil fuel consumption.… (more)

Trethewey, Ross M.

2010-01-01T23:59:59.000Z

364

1996 Residential Lighting Use and Potential Savings  

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

Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Home > Energy Users > Residential Home >1996 Lighting DOE/EIA-0555(96)/2 Distribution Category UC-950 Energy Consumption Series Residential Lighting Use and Potential Savings September 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin Kilgore, Director of the Office of Energy Markets and End Use (202-586-1617). The project was directed by Lynda T. Carlson, Director of the Office of Energy End Use and Integrated Statistics Division (EEUISD) (202-586-1112). Specific technical information may be obtained from the Residential Energy Consumption Survey (RECS) Manager, Robert Latta (202-586-1385). The FAX number for all EEUISD personnel is 202-586-0018.

365

Residential Solar Valuation Rates  

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

Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

366

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

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

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

367

service sector | OpenEI  

Open Energy Info (EERE)

service sector service sector Dataset Summary Description The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. Source UK Department of Energy and Climate Change (DECC) Date Released July 31st, 2010 (4 years ago) Date Updated Unknown Keywords annual energy consumption coal Coke domestic Electricity Electricity Consumption energy data Industrial Natural Gas Petroleum service sector transportation UK Data application/zip icon Five Excel spreadsheets with UK Energy Consumption data (zip, 2.6 MiB) Quality Metrics Level of Review Peer Reviewed Comment The data in ECUK are classified as National Statistics

368

Energy Audit Results for Residential Building Energy Efficiency  

E-Print Network [OSTI]

Energy Audit Results for Residential Building Energy Efficiency Forrest City Phases I and II This report analyses complete energy audit results from 28 homes within the Forest City residential complex. Relationships between temperature, humidity, comfort, and energy consumption are detailed. Recommendations

369

EIA - The National Energy Modeling System: An Overview 2003-Residential  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

370

Residential Buildings Integration Program  

Broader source: Energy.gov [DOE]

Residential Buildings Integration Program Presentation for the 2013 Building Technologies Office's Program Peer Review

371

Estimated United States Residential Energy Use in 2005  

SciTech Connect (OSTI)

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

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

2011-12-12T23:59:59.000Z

372

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 State Energy Data 2011: Consumption Table C5. Residential Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal a Natural Gas b Petroleum Biomass Geothermal Solar/PV e Retail Electricity Sales Net Energy f Electrical System Energy Losses g Total f Distillate Fuel Oil Kerosene LPG c Total Wood d Alabama ............. 0.0 37.2 0.1 0.1 6.0 6.2 6.0 0.1 0.2 112.6 162.2 214.7 376.9 Alaska ................. 0.0 20.5 8.1 0.1 0.5 8.8 1.9 0.1 (s) 7.3 38.6 15.1 53.7 Arizona ............... 0.0 39.1 (s) (s) 5.5 5.5 2.6 (s) 7.9 112.9 168.0 226.8 394.7 Arkansas ............. 0.0 34.2 0.1 (s) 5.2 5.3 8.6 0.7 0.2 64.1 113.1 133.2 246.3 California ............ 0.0 522.4 0.6 0.6 30.9 32.2 33.3 0.2 43.2 301.6 932.9 583.1 1,516.1 Colorado ............. 0.0 134.2 0.1 (s) 12.3 12.4 8.3 0.2 0.7 62.4 216.5 136.5 353.0 Connecticut ......... 0.0 46.0 59.6

373

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thiebaux and  

E-Print Network [OSTI]

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thi´ebaux and Menkes van den stochastic optimisation in residential demand response. 1 Introduction Electricity consumption in residential participate in smart grid activities such as demand response where loads are shifted to times favourable

Thiébaux, Sylvie

374

Natural Gas Consumption  

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

Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 23,103,793 23,277,008 22,910,078 24,086,797 24,477,425 25,533,448 1949-2012 Alabama 418,512 404,157 454,456 534,779 598,514 666,738 1997-2012 Alaska 369,967 341,888 342,261 333,312 335,458 343,110 1997-2012

375

Spatial Relationships of Sector-Specific Fossil-fuel CO2 Emissions in the United States  

SciTech Connect (OSTI)

Quantification of the spatial distribution of sector-specific fossil fuel CO2 emissions provides strategic information to public and private decision-makers on climate change mitigation options and can provide critical constraints to carbon budget studies being performed at the national to urban scales. This study analyzes the spatial distribution and spatial drivers of total and sectoral fossil fuel CO2 emissions at the state and county levels in the United States. The spatial patterns of absolute versus per capita fossil fuel CO2 emissions differ substantially and these differences are sector-specific. Area-based sources such as those in the residential and commercial sectors are driven by a combination of population and surface temperature with per capita emissions largest in the northern latitudes and continental interior. Emission sources associated with large individual manufacturing or electricity producing facilities are heterogeneously distributed in both absolute and per capita metrics. The relationship between surface temperature and sectoral emissions suggests that the increased electricity consumption due to space cooling requirements under a warmer climate may outweigh the savings generated by lessened space heating. Spatial cluster analysis of fossil fuel CO2 emissions confirms that counties with high (low) CO2 emissions tend to be clustered close to other counties with high (low) CO2 emissions and some of the spatial clustering extends to multi-state spatial domains. This is particularly true for the residential and transportation sectors, suggesting that emissions mitigation policy might best be approached from the regional or multi-state perspective. Our findings underscore the potential for geographically focused, sector-specific emissions mitigation strategies and the importance of accurate spatial distribution of emitting sources when combined with atmospheric monitoring via aircraft, satellite and in situ measurements. Keywords: Fossil-fuel; Carbon dioxide emissions; Sectoral; Spatial cluster; Emissions mitigation policy

Zhou, Yuyu; Gurney, Kevin R.

2011-07-01T23:59:59.000Z

376

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

377

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

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

NONE

1995-10-05T23:59:59.000Z

378

Residential propane prices decreases  

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

5, 2014 Residential propane prices decreases The average retail price for propane fell to 3.89 per gallon, that's down 11.9 cents from a week ago, based on the residential heating...

379

Residential propane price decreases  

Gasoline and Diesel Fuel Update (EIA)

6, 2014 Residential propane price decreases The average retail price for propane fell to 3.48 per gallon, down 15.9 cents from a week ago, based on the residential heating fuel...

380

Residential propane prices surges  

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

9, 2014 Residential propane price decreases The average retail price for propane fell to 3.08 per gallon, down 8.6 cents from a week ago, based on the residential heating fuel...

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

Residential propane price decreases  

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

05, 2014 Residential propane price decreases The average retail price for propane fell to 2.40 per gallon, down 1.2 cents from a week ago, based on the residential heating fuel...

382

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

2, 2014 Residential propane price decreases The average retail price for propane fell to 3.17 per gallon, down 13.1 cents from a week ago, based on the residential heating fuel...

383

Residential propane prices surges  

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

5, 2014 Residential propane price decreases The average retail price for propane fell to 3.30 per gallon, down 17.5 cents from a week ago, based on the residential heating fuel...

384

Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

The U.S. Department of Energy's (DOE's) Better Buildings Residential programs  work with residential energy efficiency programs and their partners to improve homeowners' lives, the economy, and the...

385

Residential Transportation Historical Data Tables for 1983-2001  

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

RTECS Historical Data Tables RTECS Historical Data Tables Residential Transportation Historical Data Tables Released: May 2008 Below are historical data tables from the Residential Transportation Energy Consumption Survey (RTECS) and Household Vehicles Energy Use: Latest Data & Trends report. These tables cover the trends in energy consumption for household transportation throughout the survey years. The data focus on several important indicators of demand for transportation: number and type of vehicles per household; vehicle-miles traveled per household and per vehicle; fuel consumption; fuel expenditures; and fuel economy. Excel PDF Trends in Households & Vehicles Table 1. Number of Households with Vehicles excel pdf Table 2. Percent of Households with Vehicles excel pdf

386

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-Owned",4600990,3030181,1391043,179766,0...

387

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Colorado" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of Colorado","Investor-Owned",28786033,9192981,12...

388

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-Owned",18912606,3579076,8038708,7294822,0...

389

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Arkansas Inc","Investor-Owned",21086842,7858971,6302526,6925231,114 2,"Southwestern...

390

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Entergy Mississippi Inc","Investor-Owned",13272532,5550307,5322525,2399700,0 2,"Mississippi...

391

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Green Mountain Power Corp","Investor-Owned",2477751,835602,896610,745539,0 2,"Central...

392

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Connecticut" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Connecticut Light & Power Co","Investor-Owned",7162779,5456175,1...

393

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Mexico" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NM","Investor-Owned",9396214,3323544,4301354,177...

394

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

395

EIA - Analysis of Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) 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. Categories: Consumption (Released, 6/23/2010, pdf format)

396

Permitting of Consumptive Uses of Water (Florida) | Department of Energy  

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

Permitting of Consumptive Uses of Water (Florida) Permitting of Consumptive Uses of Water (Florida) Permitting of Consumptive Uses of Water (Florida) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Florida Program Type Siting and Permitting Provider Florida Department of Environmental Protection Local water management districts are required to establish programs and

397

industrial sector | OpenEI  

Open Energy Info (EERE)

industrial sector industrial sector Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

398

Residential Forced Air System Cabinet Leakage and Blower Performance  

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

Residential Forced Air System Cabinet Leakage and Blower Performance Residential Forced Air System Cabinet Leakage and Blower Performance Title Residential Forced Air System Cabinet Leakage and Blower Performance Publication Type Report LBNL Report Number LBNL-3383E Year of Publication 2010 Authors Walker, Iain S., Darryl J. Dickerhoff, and William W. Delp Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords air flow measurement, air leakage, blower power measurement, blowers, energy performance of buildings group, forced air systems, furnaces, indoor environment department, other, public interest energy research (pier) program, residential hvac Abstract This project evaluated the air leakage and electric power consumption of Residential HVAC components, with a particular focus on air leakage of furnace cabinets. Laboratory testing of HVAC components indicated that air leakage can be significant and highly variable from unit to unit - indicating the need for a standard test method and specifying maximum allowable air leakage in California State energy codes. To further this effort, this project provided technical assistance for the development of a national standard for Residential HVAC equipment air leakage. This standard is being developed by ASHRAE and is called "ASHRAE Standard 193P - Method of test for Determining the Air Leakage Rate of HVAC Equipment". The final part of this project evaluated techniques for measurement of furnace blower power consumption. A draft test procedure for power consumption was developed in collaboration with the Canadian General Standards Board: CSA 823 "Performance Standard for air handlers in residential space conditioning systems".

399

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

SciTech Connect (OSTI)

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

Not Available

2012-01-01T23:59:59.000Z

400

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect (OSTI)

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

Belzer, David B.

2006-12-04T23:59:59.000Z

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

Chapter 4. Fuel Economy, Consumption and Expenditures  

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

4. Fuel Economy, Consumption, and Expenditures 4. Fuel Economy, Consumption, and Expenditures Chapter 4. Fuel Economy, Consumption, and Expenditures This chapter analyzes trends in fuel economy, fuel consumption, and fuel expenditures, using data unique to the Residential Transportation Energy Consumption Survey, as well as selected data from other sources. Analysis topics include the following: Following the oil supply and price disruptions caused by the Arab oil embargo of 1973-1974, motor gasoline price increases, the introduction of corporate average fuel economy standards, and environmental quality initiatives helped to spur major changes in vehicle technology. But have the many advances in vehicle technology resulted in measurable gains in the fuel economy of the residential vehicle fleet?

402

A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK  

E-Print Network [OSTI]

residential energy consumers in the UK by considering property energy efficiency levels, the greenness1 A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour

Aickelin, Uwe

403

Energy Consumption  

Science Journals Connector (OSTI)

We investigated the relationship between electrical power consumption per capita and GDP per capita in 130 countries using the data reported by World Bank. We found that an electrical power consumption per capita...

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

404

Distillate Fuel Oil Sales for Residential Use  

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

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

405

EIA - International Energy Outlook 2009-Industrial Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Sector Energy Consumption Industrial Sector Energy Consumption International Energy Outlook 2009 Chapter 6 - Industrial Sector Energy Consumption Worldwide industrial energy consumption increases by an average of 1.4 percent per year from 2006 to 2030 in the IEO2009 reference case. Much of the growth is expected to occur in the developing non-OECD nations. Figure 63. OECD and Non-OECD Industrial Sector Energy Consumption, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 64. World Industrial Sector Energy Consumption by Fuel, 2006 and 2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 65. World Industrial Sector Energy Consumption by Major Energy-Intensive Industry Shares, 2005 (Trillion Cubic Feet). Need help, contact the National Energy Information Center at 202-586-8800.

406

Building Technologies Office: Residential Energy Efficiency Stakeholder  

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

407

Building Technologies Office: Residential Buildings  

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

408

Sector 7  

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

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

409

E-Print Network 3.0 - assessing food consumption Sample Search...  

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

of transportation within a sector. Although, the animal source food production and consumption systems assessed have... production through consumption. Animal source foods...

410

Manufacturing Consumption of Energy 1991--Combined Consumption and Fuel  

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

< < Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of Energy 1991 (Combined Consumption and Fuel Switching) Overview Full Report Tables & Spreadsheets This report presents national-level estimates about energy use and consumption in the manufacturing sector as well as manufacturers' fuel-switching capability. Contact: Stephanie.battle@eia.doe.gov Stephanie Battle Director, Energy Consumption Division Phone: (202) 586-7237 Fax: (202) 586-0018 URL: http://www.eia.gov/emeu/mecs/mecs91/consumption/mecs1a.html File Last Modified: May 25, 1996

411

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

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Glossary › FAQS › Overview Industrial Commercial Industrial Transportation Manufacturing Energy Consumption Survey Data 2006 Analysis & Reports 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. figure data The decrease in energy consumption in the manufacturing sector was also

412

A methodology for identifying and improving occupant behavior in residential Zhun (Jerry) Yu a  

E-Print Network [OSTI]

and developing countries. For example, in the US and Japan, residential building energy consumption accounts: Occupant behavior Building energy consumption Data mining Evaluation Identification a b s t r a c significantly reducing building energy consumption. Moreover, given that the proposed method is partly based

Fung, Benjamin C. M.

413

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

414

Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective  

Science Journals Connector (OSTI)

Abstract In order to better understand sectoral greenhouse gas (GHG) emissions in China, this study utilized a logarithmic mean Divisia index (LMDI) decomposition analysis to study emission changes from a sectoral perspective. Based on the decomposition results, recently implemented policies and measures for emissions mitigation in China were evaluated. The results show that for the economic sectors, economic growth was the dominant factor in increasing emissions from 1996 to 2011, whereas the decline in energy intensity was primarily responsible for the emission decrease. As a result of the expansion of industrial development, economic structure change also contributed to growth in emissions. For the residential sector, increased emissions were primarily driven by an increase in per-capita energy use, which is partially confirmed by population migration. For all sectors, the shift in energy mix and variation in emission coefficient only contributed marginally to the emissions changes. The decomposition results imply that energy efficiency policy in China has been successful during the past decade, i.e., Top 1000 Priorities, Ten-Key Projects programs, the establishment of fuel consumption limits and vehicle emission standards, and encouragement of efficient appliances. Moreover, the results also indicate that readjusting economic structure and promoting clean and renewable energy is urgently required in order to further mitigate emissions in China.

Xianshuo Xu; Tao Zhao; Nan Liu; Jidong Kang

2014-01-01T23:59:59.000Z

415

Residential Retrofit Program Design Guide  

Broader source: Energy.gov [DOE]

This Residential Retrofit Program Design Guide focuses on the key elements and design characteristics of building and maintaining a successful residential retrofit program.

416

NREL: Buildings Research - Residential Capabilities  

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

Residential Capabilities Photo showing a row of homes in the distance. The NREL Residential Buildings group is an innovative, multidisciplinary team focused on accelerating the...

417

Residential Humidity Control Strategies  

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

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

418

Energy Use and Indoor Thermal Environment of Residential Buildings in China  

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

419

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

Changes in Energy Intensity in the Manufacturing Sector 1985 - 1994 Full Report Introduction Summary of Data Data Tables Data Summaries All (20-39) Food (20) Textiles (22) Apparel (23) Lumber (24) Furniture (25) Paper (26) Printing (27) Chemicals (28) Refineries (29) Rubber (30) Stone (32) Metals (33) Fab. Metals (34) Machinery (35) El. Equip.(36) Instruments (38) Misc. (39) Appendices Survey Design Quality of Data Sector Description Nonobservation Errors Glossary Intensity Sites Commercial Residential Transportation International Manufacturing Energy Intensity Changes in Energy Intensity Click for Full Graph Manufacturing Energy Consumption Consumption of Energy Click for Full Graph Manufacturing Shipments History of Shipments Click for Full Graph The focus of this data report is on intensity of energy use, measured by energy consumption relative to constant dollar shipments of manufactured products -- commonly called energy intensities (EI) by energy analysts. This report explicitly relates changes in two energy measures of energy intensity to efficiency, while being cognizant that there are structural and behavioral effects enmeshed in those measures of energy efficiency. Reporting EI serves to continue the Intensity Change report series.

420

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

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

Not Available

1994-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "residential sector 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 solar home resale analysis  

SciTech Connect (OSTI)

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

Noll, S.A.

1980-01-01T23:59:59.000Z

422

101. Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

1. Natural Gas Consumption 1. Natural Gas Consumption in the United States, 1930-1996 (Million Cubic Feet) Table Year Lease and Plant Fuel Pipeline Fuel Delivered to Consumers Total Consumption Residential Commercial Industrial Vehicle Fuel Electric Utilities Total 1930 ....................... 648,025 NA 295,700 80,707 721,782 NA 120,290 1,218,479 1,866,504 1931 ....................... 509,077 NA 294,406 86,491 593,644 NA 138,343 1,112,884 1,621,961 1932 ....................... 477,562 NA 298,520 87,367 531,831 NA 107,239 1,024,957 1,502,519 1933 ....................... 442,879 NA 283,197 85,577 590,865 NA 102,601 1,062,240 1,505,119 1934 ....................... 502,352 NA 288,236 91,261 703,053 NA 127,896 1,210,446 1,712,798 1935 ....................... 524,926 NA 313,498 100,187 790,563 NA 125,239 1,329,487 1,854,413 1936 ....................... 557,404 NA 343,346

423

Nexus of Energy Use and Technology in the Buildings Sector  

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

of Energy Use and Technology in the Buildings Sector EIA Energy Conference July 15, 2014 | Washington, DC Tom Leckey, EIA Director, Office of Energy Consumption and Efficiency...

424

The Impact of Urban Form and Housing Characteristics on Residential Energy Use  

E-Print Network [OSTI]

in the metropolitan statistical areas in the United States. After controlling for differences in energy price and income, a positive relationship between residential energy consumption and a history of greater rates of land conversion was found. This study also finds...

Kim, Jong Yon

2012-11-29T23:59:59.000Z

425

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

E-Print Network [OSTI]

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

Cowing, Thomas G.

1982-01-01T23:59:59.000Z

426

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

427

Cost-availability curves for hierarchical implementation of residential energy-efficiency measures  

Science Journals Connector (OSTI)

Historical residential electricity data and natural gas consumption data were collected for, respectively, 1,200 and 178 residences in a small town in the USA. These data were merged with local building and weath...

R. Villoria-Siegert; P. Brodrick; K. Hallinan; R. J. Brecha

2014-08-01T23:59:59.000Z

428

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

Gasoline and Diesel Fuel Update (EIA)

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

429

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

Gasoline and Diesel Fuel Update (EIA)

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

430

HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling  

E-Print Network [OSTI]

HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling J. Venkatesh.edu + {jc.junqua, phmorin} @us.panasonic.com Abstract-- Residential energy constitutes 38% of the total energy consumption in the United States [1]. Although a number of building simulators have been proposed

Simunic, Tajana

431

Fact Sheet- Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

Fact Sheet - Better Buildings Residential, from U.S. Department of Energy, Better Buildings Neighborhood Program.

432

Identifying Cost-Effective Residential Energy Efficiency Opportunities for the Kauai Island Utility Cooperative  

Office of Energy Efficiency and Renewable Energy (EERE)

This analysis is an update to the Energy Efficiency Potential report completed by KEMA for the Kauai Island Utility Cooperative (KIUC) and identifies potential energy efficiency opportunities in the residential sector on Kaua‘i (KEMA 2005).

433

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

E-Print Network [OSTI]

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

Howland, Alexis (Alexis Blair)

2013-01-01T23:59:59.000Z

434

Sector 7  

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

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

435

Residential propane price  

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

propane price decrease The average retail price for propane is 2.37 per gallon, down 1.3 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

436

Residential propane price  

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

propane price decreases The average retail price for propane is 2.35 per gallon, down 1.1 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

437

Residential propane price  

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

propane price decreases The average retail price for propane is 2.36 per gallon, down 1 cent from last week, based on the residential heating fuel survey by the U.S. Energy...

438

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.2 cents from a week ago to 2.86 per gallon. That's up 59.3 cents from a year ago, based on the residential...

439

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 10.3 cents from a week ago to 2.96 per gallon. That's up 68.1 cents from a year ago, based on the residential...

440

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.9 cents from a week ago to 2.80 per gallon. That's up 53.7 cents from a year ago, based on the residential...

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

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 5.5 cents per gallon from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential...

442

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

propane prices surges The average retail price for propane rose to an all-time high of 4.01 a gallon, that's up 1.05 from a week ago, based on the residential heating fuel survey...

443

Residential propane price increases  

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

propane price increases The average retail price for propane is 2.41 per gallon, up 6-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

444

Residential propane prices stable  

Gasoline and Diesel Fuel Update (EIA)

propane price decreases The average retail price for propane is 2.40 per gallon, down 9-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

445

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 4.8 cents from a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential...

446

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 2.5 cents from a week ago to 2.83 per gallon. That's up 56 cents from a year ago, based on the residential...

447

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose to 2.40 per gallon, up 1.1 cents from a week ago, based on the residential heating fuel survey by the U.S. Energy...

448

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 2.3 cents per gallon from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential...

449

Residential propane prices available  

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

propane prices available The average retail price for propane is 2.30 per gallon, based on the U.S. Energy Information Administration's weekly residential heating fuel survey....

450

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 9.1 cents from a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential...

451

Residential Energy Disclosure (Hawaii)  

Broader source: Energy.gov [DOE]

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

452

Tobacco Consumption  

Science Journals Connector (OSTI)

Tobacco consumption is the use of tobacco products in different forms such as , , , water-pipes or tobacco products. Cigarettes and tobacco products containing tobacco are highly engineered so as to creat...

Martina Pötschke-Langer

2008-01-01T23:59:59.000Z

453

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

454

Sustainable Aspects of Electricity Consumption in Klang Valley  

Science Journals Connector (OSTI)

Abstract Recently, energy crisis is considered a global issue and the demand for an urgent solution seems inevitable. Residential buildings consume nearly one third of Total National Energy Consumption. Studies show that a significant part of energy use can be avoided through occupants’ awareness about energy consumption. In order to discover and understand energy use of Malaysian residents, this paper has identified the residential electricity use behavior and its determinants by an empirical study. The results showed that out of the six introduced \\{IVs\\} of the regression model to predict the electricity consumption behavior only three predictors can significantly contribute to the model.

Nehzat Jalalkamali; Mohamed Yusoff Abbas

2014-01-01T23:59:59.000Z

455

GE Nucleus for Residential Energy Use Education, Home Energy  

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

GE Nucleus for Residential Energy Use Education, Home Energy GE Nucleus for Residential Energy Use Education, Home Energy Management/Control, Residential Energy Integration Speaker(s): William Watts Date: August 4, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Home Energy Gateways offer a single point of access to the AMI Smart Meter into the home. The Nucleus is GE's home energy management gateway. The GE Nucleus securely communicates to a Smart Meter and delivers real-time whole home energy consumption data for display to the Consumer. The Consumer is able to visualize their energy usage habits on a Client that is connected via TLS encryption to the WiFi or Ethernet interface of the Nucleus. The Nucleus records history of the consumer's usage and cost data for tracking of energy consumption habits. GE has a suite of Smart Appliances that

456

Residential Energy Expenditures for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

Expenditures for Water Heating (2005) Expenditures for Water Heating (2005) Dataset Summary Description Provides total and average household expenditures on energy for water heating in the United States in 2005. The data was collected as part of the Residential Energy Consumption Survey (RECS). RECS is a national survey that collects residential energy-related data. The survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the United States. Data were obtained from residential energy suppliers for each unit in the sample to produce the data. Source EIA Date Released September 01st, 2008 (6 years ago) Date Updated January 01st, 2009 (6 years ago) Keywords Energy Expenditures Residential Water Heating Data application/vnd.ms-excel icon 2005_Total.Expenditures.for_.Water_.Heating_EIA.Sep_.2008.xls (xls, 70.1 KiB)

457

New Energy Efficiency Standards for Residential Clothes Washers and  

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

New Energy Efficiency Standards for Residential Clothes Washers and New Energy Efficiency Standards for Residential Clothes Washers and Dishwashers to Save Consumers Billions on Energy Bills New Energy Efficiency Standards for Residential Clothes Washers and Dishwashers to Save Consumers Billions on Energy Bills May 16, 2012 - 1:08pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's focus on taking sensible steps to save families money while also reducing energy consumption, the Department of Energy today announced common-sense energy efficiency standards for residential clothes washers and dishwashers that will save consumers $20 billion in energy and water costs. The new standards for both clothes washers and dishwashers were informed by important feedback from manufacturers, consumer groups and environmental

458

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

An Estimate of Residential Energy Savings From IECC Change Proposals An Estimate of Residential Energy Savings From IECC Change Proposals Recommended for Approval at the ICC's Fall, 2009, Initial Action Hearings The U.S. Department of Energy (DOE) has established ambitious goals to improve the energy efficiency requirements of the International Energy Conservation Code (IECC) for residential buildings. DOE has established near- and long-term goals of 30% and 50% energy efficiency improvements, respectively, compared to the 2006 IECC. This report presents DOE's approach to calculating residential energy consumption for the purpose of estimating energy savings attributable to improvements in the code. This approach is then used to estimate the national average energy savings, relative to the 2006 IECC, resulting from the proposed improvements DOE submitted and supported for the 2012 IECC.

459

Residential Retrofit Program Design Guide Overview Transcript...  

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

Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide...

460

Fact Sheet: Better Buildings Residential Network | Department...  

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

Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

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

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.

462

Sector X  

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

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

463

Sector 7  

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

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

464

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

SciTech Connect (OSTI)

This study estimated energy, environmental and consumer economic impacts of U.S. Federal residential energy efficiency standards that became effective in the 1988-2006 period, and of energy efficiency standards for fluorescent lamp ballasts and distribution transformers. These standards have been the subject of in-depth analyses conducted as part of DOE's standards rulemaking process. This study drew on those analyses, but updated certain data and developed a common framework and assumptions for all of the products in order to estimate realized impacts and to update projected impacts. It also performed new analysis for the first (1990) fluorescent ballast standards, which had been introduced in the NAECA legislation without a rulemaking. We estimate that the considered standards will reduce residential/ commercial primary energy consumption and carbon dioxide emissions in 2030 by 4percent compared to the levels expected without any standards. The reduction for the residential sector is larger, at 8percent. The estimated cumulative energy savings from the standards amount to 39 quads by 2020, and 63 quads by 2030. The standards will also reduce emissions of carbon dioxide by considerable amounts.The estimated cumulative net present value of consumer benefit amounts to $241 billion by 2030, and grows to $269 billion by 2045. The overall ratio of consumer benefits to costs (in present value terms) in the 1987-2050 period is 2.7 to 1. Although the estimates made in this study are subject to a fair degree of uncertainty, we believe they provide a reasonable approximation of the national benefits resulting from Federal appliance efficiency standards.

Meyers, Stephen P.; McMahon, James; Atkinson, Barbara

2008-05-08T23:59:59.000Z

465

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

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

2012-01-01T23:59:59.000Z

466

Jasper County REMC - Residential Residential Energy Efficiency Rebate  

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

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

467

Sector 7  

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

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

468

Residential Building Code Compliance  

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

469

Progress in Residential Retrofit  

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

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

470

Turkey energy and environmental review - Task 7 energy sector modeling : executive summary.  

SciTech Connect (OSTI)

Turkey's demand for energy and electricity is increasing rapidly. Since 1990, energy consumption has increased at an annual average rate of 4.3%. As would be expected, the rapid expansion of energy production and consumption has brought with it a wide range of environmental issues at the local, regional and global levels. With respect to global environmental issues, Turkey's carbon dioxide (CO2) emissions have grown along with its energy consumption. Emissions in 2000 reached 211 million metric tons. With GDP projected to grow at over 6% per year over the next 25 years, both the energy sector and the pollution associated with it are expected to increase substantially. This is expected to occur even if assuming stricter controls on lignite and hard coal-fired power generation. All energy consuming sectors, that is, power, industrial, residential, and transportation, will contribute to this increased emissions burden. Turkish Government authorities charged with managing the fundamental problem of carrying on economic development while protecting the environment include the Ministry of Environment (MOE), the Ministry of Energy and Natural Resources (MENR), and the Ministry of Health, as well as the Turkish Electricity Generation & Transmission Company (TEAS). The World Bank, working with these agencies, is planning to assess the costs and benefits of various energy policy alternatives under an Energy and Environment Review (EER). Eight individual studies have been conducted under this activity to analyze certain key energy technology issues and use this analysis to fill in the gaps in data and technical information. This will allow the World Bank and Turkish authorities to better understand the trade-offs in costs and impacts associated with specific policy decisions. The purpose of Task 7-Energy Sector Modeling, is to integrate information obtained in other EER tasks and provide Turkey's policy makers with an integrated systems analysis of the various options for addressing the various energy and environmental concerns. The work presented in this report builds on earlier analyses presented at the COP 6 conference in Bonn.

Conzelmann, G.; Koritarov, V.; Decision and Information Sciences

2008-02-28T23:59:59.000Z

471

Residential Buildings Integration Program  

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

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

472

Measuring Residential Ventilation  

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

Measuring Residential Ventilation Measuring Residential Ventilation System Airflows: Part 2 - Field Evaluation of Airflow Meter Devices and System Flow Verification J. Chris Stratton, Iain S. Walker, Craig P. Wray Environmental Energy Technologies Division October 2012 LBNL-5982E 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any

473

Residential Buildings Integration Program  

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

474

Residential propane price is unchanged  

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

13, 2014 Residential propane price is unchanged The average retail price for propane is 2.40 per gallon, down one-tenth of a cent from last week, based on the residential heating...

475

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

Open Energy Info (EERE)

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

476

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States 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. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

477

ENERGY STAR Residential Water Heaters to Save Americans Up to $823 Million  

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

STAR Residential Water Heaters to Save Americans Up to $823 STAR Residential Water Heaters to Save Americans Up to $823 Million in the Next Five Years ENERGY STAR Residential Water Heaters to Save Americans Up to $823 Million in the Next Five Years December 31, 2008 - 9:18am Addthis WASHINGTON - The U.S. Department of Energy (DOE) today announced the availability of ENERGY STAR® residential water heaters. With today's announcement, the ENERGY STAR® program now addresses every major residential appliance found in most American homes. Introduction of this product provides significant potential savings to consumers. Water heating represents up to 15.5 percent of national residential energy consumption, the second largest end use of energy in homes, following heating and cooling. Using one of five specified water heating technologies, ENERGY

478

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Sector Overview 1991-1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 xiii Why Do We Investigate Energy Use in the Manufacturing Sector? What Data Do EIA Use To Investigate Energy Use in the Manufacturing Sector? In 1991, output in the manufactur- ing sector fell as the country went into a recession. After 1991, however, output increased as the country slowly came out of the recession. Between 1991 and 1994, manufacturers, especially manu- facturers of durable goods such as steel and glass, experienced strong growth. The industrial production index for durable goods during the period increased by 21 percent. Real gross domestic product for durable goods increased a corre- sponding 16 percent. The growth of nondurables was not as strong-- the production index increased by only 9 percent during this time period.

479

EIA - International Energy Outlook 2009-Transportation Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Sector Energy Consumption Transportation Sector Energy Consumption International Energy Outlook 2009 Chapter 7 - Transportation Sector Energy Consumption In the IEO2009 reference case, transportation energy use in the non-OECD countries increases by an average of 2.7 percent per year from 2006 to 2030, as compared with an average of 0.3 percent per year for the OECD countries. Figure 69. OECD and Non-OECD Transportation Sector Liquids Consumption, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure data Over the next 25 years, world demand for liquids fuels is projected to increase more rapidly in the transportation sector than in any other end-use sector. In the IEO2009 reference case, the transportation share of

480

US WNC MO Site Consumption  

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

WNC MO WNC MO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WNC MO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US WNC MO Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US WNC MO Expenditures dollars ELECTRICITY ONLY average per household * Missouri households consume an average of 100 million Btu per year, 12% more than the U.S. average. * Average household energy costs in Missouri are slightly less than the national average, primarily due to historically lower residential electricity prices in the state. * Missouri homes are typically larger than homes in other states and are more likely to be attached or detached single-family housing units.

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

STORM WATER Residential  

E-Print Network [OSTI]

STORM WATER QUALITY HOTLINE UCSC Residential Car Washing http THAT MAY CAUSE ENVIRONMENTAL HARM TO THE STORM WATER QUALITY HOTLINE: (831) 459-2553. LIKE US ON FACEBOOK AT UCSC STORM WATER MANAGEMENT PROGRAM! DID YOU KNOW? PRACTICAL SOLUTIONS > USE A COMMERCIAL CAR WASH

California at Santa Cruz, University of

482

Residential Mechanical Precooling  

SciTech Connect (OSTI)

This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

German, A.; Hoeschele, M.

2014-12-01T23:59:59.000Z

483

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

484

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...

Al-Tamimi, N.; Fadzil, S.

2010-01-01T23:59:59.000Z

485

Property:Incentive/ImplSector | Open Energy Information  

Open Energy Info (EERE)

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

486

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

recently. In 2005, total energy consumption reached 2,2257.5% per year, total energy consumption in 2010 will reachof Enterprises and Total Energy Consumption by Sector of the

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

487

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

China’s total primary energy consumption in 2005, along withthe industrial sector primary energy consumption was 1,416of China’s total primary energy consumption (Lin et al. ,

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

488

CALIFORNIA STATEWIDE RESIDENTIAL APPLIANCE  

E-Print Network [OSTI]

methodology and results report that includes energy consumption tables from the conditional demand analysis Energy Consumption and Appliance Saturation Summaries. Results from the Conditional Demand Analysis (CDA conditioning is the primary driver of peak energy demand in California and the saturation of central air

489

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book [EERE]

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

490

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

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

491

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book [EERE]

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

492

Buildings Energy Data Book: 2.2 Residential Sector Characteristics  

Buildings Energy Data Book [EERE]

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

493

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

an Energy-Efficient Economy. Hanford, J.W. and Y . J. Huang.Laboratory. LBL-33101. Hanford, J.W. , J.G. Koomey, L.E.97. Ritschard, R. L. , J.W. Hanford, and A.O. Sezgen. 1992a.

Wenzel, T.P.

2010-01-01T23:59:59.000Z

494

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

single-family and multi-family buildings (representingsingle-family and multi-family buildings. The prototypes aresingle-family and multi- family buildings. The survey also

Wenzel, T.P.

2010-01-01T23:59:59.000Z

495

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

multi-family buildings in the north (and electric furnace and heatMulti-Family Building Prototypes Cond. Regional Floor Heat

Wenzel, T.P.

2010-01-01T23:59:59.000Z

496

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

80%glass, low emissivity film Wood Frame Window, 80%glass,low emissivity film, argon fill Wood Frame Window, 80%glass,

Wenzel, T.P.

2010-01-01T23:59:59.000Z

497

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

Conservation and Renewable Energy, Building EquipmentConservation and Renewable Energy, Building EquipmentConservation and Renewable Energy, Building Equipment

Wenzel, T.P.

2010-01-01T23:59:59.000Z

498

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

Summer Study on Energy Efficiency in Buildings. WashingtonSummer Study on Energy Efficiency in Buildings. WashingtonStudy on Energy Efficiency in Buildings. American Council

Wenzel, T.P.

2010-01-01T23:59:59.000Z

499

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

auto-defrost refrigerators and freezers, and solid-state/For example, new refrigerators and freezers have increasedfactors for refrigerators and freezers are based on data for

Wenzel, T.P.

2010-01-01T23:59:59.000Z

500

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

The historical factors for refrigerators and freezers arehistorical factors are used are gas heating, room and central air- conditioning, electric and gas water-heating, refrigerators, freezers,

Wenzel, T.P.

2010-01-01T23:59:59.000Z