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Note: This page contains sample records for the topic "housing characteristics 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

Residential Energy Consumption Survey: housing characteristics, 1982  

Science Conference Proceedings (OSTI)

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

Thompson, W.

1984-08-01T23:59:59.000Z

2

Residential energy consumption survey: housing characteristics 1984  

SciTech Connect

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

Not Available

1986-10-08T23:59:59.000Z

3

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

4

Residential energy-consumption survey: housing characteristics, 1981  

SciTech Connect

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

Thompson, W.

1983-08-01T23:59:59.000Z

5

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

6

Housing characteristics 1993  

Science Conference Proceedings (OSTI)

This report, Housing Characteristics 1993, presents statistics about the energy-related characteristics of US households. These data were collected in the 1993 Residential Energy Consumption Survey (RECS) -- the ninth in a series of nationwide energy consumption surveys conducted since 1978 by the Energy Information Administration of the US Department of Energy. Over 7 thousand households were surveyed, representing 97 million households nationwide. A second report, to be released in late 1995, will present statistics on residential energy consumption and expenditures.

NONE

1995-06-01T23:59:59.000Z

7

1997 Housing Characteristics Tables Housing Unit Tables  

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

Million U.S. Households; 45 pages, 128 kb) Million U.S. Households; 45 pages, 128 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 1997 4 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 1997 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 1997 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 1997 3 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 3 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 1997 3 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 1997 4

8

Housing Characteristics Detailed Tables - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration. United States Department of Energy 1997 RESIDENTIAL ENERGY CONSUMPTION SURVEY HOUSING CHARACTERISTICS DETAILED DATA TABLES (FINAL)

9

Housing Characteristics, 1990  

DOE Green Energy (OSTI)

This report on energy consumption in the residential sector covers the following topics: housing trends 1980--1990, new housing trends, availability and usage of natural gas by households, changes in appliance usage (refrigerators, entertainment appliances, cooking appliances, convenience appliances), age of major household appliances and equipment, household energy conservation activities, demand-side management programs, and a portrait of households using solar or wood as a source of energy.

Not Available

1992-05-14T23:59:59.000Z

10

1997 Housing Characteristics Tables Housing Unit Tables  

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

Percent of U.S. Households; 45 pages, 121 kb) Percent of U.S. Households; 45 pages, 121 kb) Contents Pages HC1-1b. Housing Unit Characteristics by Climate Zone, Percent of U.S. Households, 1997 4 HC1-2b. Housing Unit Characteristics by Year of Construction, Percent of U.S. Households, 1997 4 HC1-3b. Housing Unit Characteristics by Household Income, Percent of U.S. Households, 1997 4 HC1-4b. Housing Unit Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 3 HC1-5b. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 3 HC1-6b. Housing Unit Characteristics by Type of Rented Housing Unit, Percent of U.S. Households, 1997 3 HC1-7b. Housing Unit Characteristics by Four Most Populated States, Percent of U.S. Households, 1997 4

11

Whole-house measurements of standby power consumption  

E-Print Network (OSTI)

Whole-House Measurements of Standby Power Consumption" InStudy on Miscellaneous Standby Consumption of HouseholdA. , Murakoshi, C. 1997. Standby Electricity Consumption in

Ross, J.P.; Meier, Alan

2000-01-01T23:59:59.000Z

12

Housing Characteristics, 1990. [Contains glossary  

DOE Green Energy (OSTI)

This report on energy consumption in the residential sector covers the following topics: housing trends 1980--1990, new housing trends, availability and usage of natural gas by households, changes in appliance usage (refrigerators, entertainment appliances, cooking appliances, convenience appliances), age of major household appliances and equipment, household energy conservation activities, demand-side management programs, and a portrait of households using solar or wood as a source of energy.

Not Available

1992-05-14T23:59:59.000Z

13

PRELIMINARY DATA Housing Unit and Household Characteristics  

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

PRELIMINARY DATA Housing Unit and Household Characteristics RSE Column Factor: Total Households (million) Households With Fans (million) Percent of Households With Fans Number of...

14

" Million Housing Units, Preliminary"  

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

the 2009 Residential Energy Consumption Survey." " Energy Information Administration 2009 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table...

15

" Million Housing Units, Final"  

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

Residential Energy Consumption Survey." " U.S. Energy Information Administration 2009 Residential Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary...

16

" Million Housing Units, Final...  

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

Residential Energy Consumption Survey." " U.S. Energy Information Administration 2009 Residential Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary...

17

Housing Characteristics 1993 - Detailed Tables  

U.S. Energy Information Administration (EIA)

Household Characteristics by Census Region and Climate Zone, Million U.S. Households, 1993 Source: Energy Information Administration, ...

18

Essays on the Consumption and Investment Decisions of Households in the Presence of Housing and Human Capital  

E-Print Network (OSTI)

2 Housing and the Consumption Allocation of Households:of Indivisibility on Housing Consumption Volatility . 2.5and consumption allocation . . . . . . . . . . . . . . .

Betermier, Sebastien

2010-01-01T23:59:59.000Z

19

Characteristics of Residential Housing Units by Ceiling Fans, 2001  

U.S. Energy Information Administration (EIA)

A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

20

Energy Housing Characteristics Tables RECS 2001  

U.S. Energy Information Administration (EIA)

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 ...

Note: This page contains sample records for the topic "housing characteristics 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

Annual housing survey: 1978. United States and regions. Part F. Energy-related housing characteristics  

SciTech Connect

This report presents statistics on energy - related housing characteristics from the 1978 Annual Housing Survey for the United States by inside and outside standard metropolitan statistical areas. Tables provide data on fuel, fuel cost, heating, air conditioning, insulation, and transportation characteristics. In addition, they present figures on the income of families and individuals by energy - related housing characteristics; the value of owner - occupied housing units and the gross rent of renter - occupied housing units by energy - related housing characteristics; the monthly and yearly costs paid for utilities; and the number of rooms per housing unit by energy - related housing characteristics. Data on energy - related housing characteristics are also given for Black and Spanish heads of households. Appendices describe the geographic area classifications; provide definitions and explanations of the subjects covered in the report; and present information on sample design, estimation, and accuracy of the data. Area maps are included.

Not Available

1981-08-01T23:59:59.000Z

22

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

U.S. Energy Information Administration (EIA)

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

23

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

U.S. Energy Information Administration (EIA)

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

24

Estimates of Refrigerator Loads in Public Housing Based on Metered Consumption Data  

SciTech Connect

The New York Power Authority (NYPA), the New York City Housing Authority (NYCHA), and the U.S. Departments of Housing and Urban Development (HUD) and Energy (DOE) have joined in a project to replace refrigerators in New York City public housing with new, highly energy-efficient models. This project laid the ground work for the Consortium for Energy Efficiency (CEE) and DOE to enable housing authorities throughout the United States to bulk-purchase energy-efficient appliances. DOE helped develop and plan the program through the ENERGY STAR@ Partnerships program conducted by its Pacific Nofiwest National Laboratory (PNNL). PNNL was subsequently asked to conduct the savings evahations for 1996 and 1997. PNNL designed the metering protocol and occupant survey, supplied and calibrated the metering equipment, and managed and analyzed the data. The 1996 metering study of refrigerator energy usage in New York City public housing (Pratt and Miller 1997) established the need and justification for a regression-model-based approach to an energy savings estimate. The need originated in logistical difficulties associated with sampling the population and pen?orming a stratified analysis. Commonly, refrigerators[a) with high representation in the popula- tion were missed in the sampling schedule, leaving significant holes in the sample and difficulties for the stratified anrdysis. The just{jfcation was found in the fact that strata (distinct groups of identical refrigerators) were not statistically distinct in terms of their label ratio (ratio of metered consumption to label rating). This finding suggested a general regression model could be used to represent the consumption of all refrigerators in the population. In 1996 a simple two-coefficient regression model, a function of only the refrigerator label rating, was developed and used to represent the existing population of refrigerators. A key concept used in the 1997 study grew from findings in a small number of apartments metered in 1996 with a detailed protocol. Fifteen-minute time-series data of ambient and compartment temperatures and refrigerator power were analyzed and demonstrated the potential for reducing power records into three components. This motivated the development of an analysis process to divide the metered consumption into baseline load, occupant-associated load, and defrosting load. The baseline load is the consumption that would occur if the refrigerator were on but had no occupant usage load (no door- opening events) and the defrosting mechanism was disabled. The motivation behind this component reduction process was the hope that components could be more effectively modeled than the total. We reasoned that the components would lead to abetter (more general and more significant) understanding of the relationships between consumption, the characteristics of the refrigerator, and its operating environment.

JD Miller; RG Pratt

1998-09-11T23:59:59.000Z

25

Whole-house measurements of standby power consumption  

E-Print Network (OSTI)

kWh/year of non-heating electricity consumption correlatesof electricity consumption. The home at 20,000 kWh/year has

Ross, J.P.; Meier, Alan

2000-01-01T23:59:59.000Z

26

U.S. Residential Housing Primary Energy Consumption  

U.S. Energy Information Administration (EIA)

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

27

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

E-Print Network (OSTI)

Cities and their characteristics of energy use play an important role in climate change. While there is abundant research about the impact of energy use on transportation the impact of urban form and housing characteristics on residential energy use has not been considered widely. There is certainly a need to take a closer look about the residential energy use and housing relationships to identify planning implications. This study examines the relationship between various urban form, housing characteristics and the energy use that result from residential electricity and fuel use. Ordinary least squares regression methods are used to measure the correlations between energy consumption and variables describing housing and urban form characteristics 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 significantly higher energy use associated with a greater incidence of detached single-family housing when compared against high-rise buildings. A correlation between increased rate of row housing and lower energy use was found as well. This study can contribute to a literature that can help planners to create more environmentally- friendly cities by contributing to the understanding of the impacts that certain energy- related housing characteristics have on the sustainability of a city. The literature regarding smart growth and new urbanism should explore potential impacts on household energy consumption in its discussion of urban planning along with considering impacts on transportation related energy use.

Kim, Jong Yon

2012-12-01T23:59:59.000Z

28

Annual housing survey: 1979. United States and regions. part f: energy-related housing characteristics  

Science Conference Proceedings (OSTI)

This report presents statistics on energy - related housing characteristics from the 1979 Annual Housing Survey for the United States by inside and outside standard metropolitan statistical areas (SMSA's) and each of the four geographic regions. The statistics are based on information from a sample of housing units. The information was collected by personal interview from September 1979 to December 1979. For the United States as a whole and for the separate regions (North Central, Northeast, South, and West), data are presented on fuel, fuel cost, heating, air conditioning, insulation, and transportation characteristics in relation to the following information: income of families and primary individuals, value of owner - occupied housing units, gross rent of renter - occupied housing units, housing units in structure, number of rooms per housing unit, year structure built, monthly cost paid for electricity, and others. Also shown are the yearly cost paid for fuel oil, coal, etc. and household head's principal means of transportation to work, by distance and travel time to work in 1979. Data are classified according to all races, black - housing units with black household head, and Spanish - housing units with household head of Spanish origin. Maps and a table - finding guide are provided. Appendices describe the geographic area classifications; define subjects covered in the report; and present information on sample design, estimation, and data accuracy.

Not Available

1982-03-01T23:59:59.000Z

29

Total U.S. Housing Units.......................................  

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

30

Total U.S. Housing Units.......................................  

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

31

Total U.S. Housing Units.......................................  

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

New York Florida Texas California Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics U.S. Housing Units...

32

Total U.S. Housing Units.......................................  

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Million U.S. Housing Units...

33

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location ...  

U.S. Energy Information Administration (EIA)

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor:

34

Table HC1-1a. Housing Unit Characteristics by Climate Zone ...  

U.S. Energy Information Administration (EIA)

Table HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Climate Zone1

35

" Million Housing Units, Final"  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.5 Household Demographics of U.S....

36

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.8 Household Demographics of Homes...

37

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.1 Household Demographics of U.S....

38

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.7 Household Demographics of U.S....

39

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.6 Household Demographics of U.S....

40

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.3 Household Demographics of U.S....

Note: This page contains sample records for the topic "housing characteristics 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

" Million Housing Units, Final"  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.4 Household Demographics of U.S....

42

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.11 Household Demographics of Homes...

43

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.10 Household Demographics of Homes...

44

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.9 Household Demographics of Homes...

45

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC9.2 Household Demographics of U.S....

46

" Million U.S. Housing Units"  

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

Consumption Survey. " " Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table HC8.4 Space Heating...

47

"Table HC3.1 Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005"  

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

Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005" Housing Unit Characteristics by Owner-Occupied Housing Unit, 2005" " Million Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Census Region and Division" "Northeast",20.6,13.4,10.4,1.4,1,0.3,0.4 "New England",5.5,3.8,3.1,"Q",0.3,"Q","Q" "Middle Atlantic",15.1,9.6,7.3,1.3,0.6,"Q","Q"

48

"Table HC4.1 Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005"  

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

Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005" Housing Unit Characteristics by Renter-Occupied Housing Unit, 2005" " Million Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Census Region and Division" "Northeast",20.6,7.2,0.8,0.9,1.6,3.8,"Q" "New England",5.5,1.7,0.2,"Q",0.6,0.9,"Q" "Middle Atlantic",15.1,5.5,0.7,0.9,1,2.9,"Q"

49

Whole-house measurements of standby power consumption  

SciTech Connect

We investigated the variation in standby power consumption in ten California homes. Total standby power in the homes ranged from 14-169W, with an average of 67 W. This corresponded to 5 percent-26 percent of the homes' annual electricity use. The appliances with the largest standby losses were televisions, set-top boxes and printers. The large variation in the standby power of appliances providing the same service demonstrates that manufacturers are able to reduce standby losses without degrading performance. Replacing existing units with appliances with 1 W or less of standby power would reduce standby losses by 68 percent.

Ross, J.P.; Meier, Alan

2000-09-15T23:59:59.000Z

50

The design and evaluation of an end-user-deployable, whole house, contactless power consumption sensor  

Science Conference Proceedings (OSTI)

We present the design, development, and evaluation of an end-user installable, whole house power consumption sensing system capable of gathering accurate real-time power use that does not require installing a current transformer around the electrical ... Keywords: energy monitoring, sensing, smart home, sustainability, ubiquitous computing

Shwetak N. Patel; Sidhant Gupta; Matthew S. Reynolds

2010-04-01T23:59:59.000Z

51

Building and occupant characteristics as determinants of residential energy consumption  

Science Conference Proceedings (OSTI)

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

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

1981-10-01T23:59:59.000Z

52

Table HC2.6 Air Conditioning Characteristics by Type of Housing ...  

U.S. Energy Information Administration (EIA)

Table HC2.6 Air Conditioning Characteristics by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Characteristics Attached 2 to 4 Units 5 or More

53

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

SciTech Connect

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

54

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

SciTech Connect

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

55

Building and occupant characteristics as determinants of residential energy consumption  

Science Conference Proceedings (OSTI)

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

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

1981-10-01T23:59:59.000Z

56

Table HC2.8 Water Heating Characteristics by Type of Housing Unit ...  

U.S. Energy Information Administration (EIA)

Water Heating Characteristics Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings Housing With--Units (millions) Energy Information Administration

57

Table HC2.9 Home Appliances Characteristics by Type of Housing ...  

U.S. Energy Information Administration (EIA)

Natural Gas ... Home Appliances Characteristics Detached Attached 2 to 4 Units Mobile Homes Housing Units (millions) Single-Family Units Apartments in Buildings

58

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.10 Space Heating in U.S. Homes in...

59

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.11 Space Heating in U.S. Homes in...

60

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.3 Space Heating in U.S. Homes, by...

Note: This page contains sample records for the topic "housing characteristics 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

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.4 Space Heating in U.S. Homes, by...

62

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.1 Space Heating in U.S. Homes, by...

63

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.7 Space Heating in U.S. Homes, by...

64

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.8 Space Heating in U.S. Homes in...

65

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.2 Space Heating in U.S. Homes, by...

66

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.9 Space Heating in U.S. Homes in...

67

" Million Housing Units, Final...  

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

Energy Consumption Survey: Final Housing Characteristics Tables" "Preliminary Release: August 19, 2011" "Final Release: April 2013" "Table HC6.6 Space Heating in U.S. Homes, by...

68

Table HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit,  

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

5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, 5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.4 1.8 2.1 1.4 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Census Region and Division Northeast ...................................... 13.0 10.8 1.1 0.5 0.6 11.4 New England .............................. 3.5 3.1 0.2 Q 0.1 16.9 Middle Atlantic ............................ 9.5 7.7 0.9 0.4 0.4 13.4 Midwest ......................................... 17.5 16.0 0.3 Q 1.0 10.3 East North Central ......................

69

Household and environmental characteristics related to household energy-consumption change: A human ecological approach  

Science Conference Proceedings (OSTI)

This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

Guerin, D.A.

1988-01-01T23:59:59.000Z

70

Ventilation Behavior and Household Characteristics in New California Houses  

E-Print Network (OSTI)

region were fr om climate zones 6, 7, and 9. Figure 7 showssample. (The other climate zones ha d to o few samples totion hour s. F our climate zones with very few houses (le ss

Price, Phillip N.; Sherman, Max H.

2006-01-01T23:59:59.000Z

71

Table HC1-11a. Housing Unit Characteristics by South Census Region,  

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

1a. Housing Unit Characteristics by South Census Region, 1a. Housing Unit Characteristics by South Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.4 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- -- NF New England ............................................. 5.4 -- -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- -- NF Midwest ....................................................... 24.5 -- -- -- -- NF East North Central .....................................

72

Table HC1-12a. Housing Unit Characteristics by West Census Region,  

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

2a. Housing Unit Characteristics by West Census Region, 2a. Housing Unit Characteristics by West Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- NF New England ............................................. 5.4 -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- NF Midwest ....................................................... 24.5 -- -- -- NF East North Central ..................................... 17.1 -- -- -- NF West North Central ....................................

73

"Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"  

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

Housing Unit Characteristics by Midwest Census Region, 2005" Housing Unit Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Housing Unit Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Urban/Rural Location (as Self-Reported)" "City",47.1,9.7,7.3,2.4 "Town",19,5,2.9,2.1 "Suburbs",22.7,5.7,4.3,1.4 "Rural",22.3,5.2,3.3,1.9 "Climate Zone1" "Less than 2,000 CDD and--" "Greater than 7,000 HDD",10.9,6.9,4.9,"Q" "5,500 to 7,000 HDD",26.1,12.3,9.9,"Q"

74

"Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"  

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

Housing Unit Characteristics by South Census Region, 2005" Housing Unit Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Housing Unit Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Urban/Rural Location (as Self-Reported)" "City",47.1,17.8,10.5,2.2,5.1 "Town",19,4.9,2.2,0.7,2 "Suburbs",22.7,7.6,4.1,1.1,2.4 "Rural",22.3,10.4,4.9,2.9,2.6 "Climate Zone1" "Less than 2,000 CDD and--" "Greater than 7,000 HDD",10.9,"N","N","N","N"

75

Housing  

Science Conference Proceedings (OSTI)

... NIST is located in Gaithersburg, Maryland, about 25 miles (40 kilometers) from the center of Washington, DC Housing arrangements have been ...

2010-10-05T23:59:59.000Z

76

1997 Housing Characteristics Tables Home Office Equipment Tables  

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

Percent of U.S. Households; 13 pages, 48 kb) Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 1 HC7-6b. Home Office Equipment by Type of Rented Housing Unit, Percent of U.S. Households, 1997 1 HC7-7b. Home Office Equipment by Four Most Populated States, Percent of U.S. Households, 1997 1

77

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect

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

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

78

Table HC1.1.4 Housing Unit Characteristics by Average Floorspace--Apartments, 2  

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

4 Housing Unit Characteristics by Average Floorspace--Apartments, 2005" 4 Housing Unit Characteristics by Average Floorspace--Apartments, 2005" ,,,"Average Square Feet per Apartment in a --" ," Housing Units (millions)" ,,,"2 to 4 Unit Building",,,"5 or More Unit Building" ,,"Apartments (millions)" "Housing Unit Characteristics",,,"Total","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,24.5,1090,902,341,872,780,441 "Census Region and Division" "Northeast",20.6,6.7,1247,1032,"Q",811,788,147 "New England",5.5,1.9,1365,1127,"Q",814,748,107 "Middle Atlantic",15.1,4.8,1182,978,"Q",810,800,159 "Midwest",25.6,4.6,1349,1133,506,895,810,346

79

Table US1. Total Energy Consumption, Expenditures, and Intensities ...  

U.S. Energy Information Administration (EIA)

Part 1: Housing Unit Characteristics and Energy Usage Indicators Energy Consumption 2 Energy Expenditures 2 Total U.S. (quadrillion Btu) Per Household (Dollars) Per

80

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

U.S. Energy Information Administration (EIA)

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

Note: This page contains sample records for the topic "housing characteristics 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

"Table HC4.4 Space Heating Characteristics by Renter-Occupied...  

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

Consumption Survey. " " Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table HC4.4 Space Heating...

82

"Table HC11.4 Space Heating Characteristics by Northeast Census...  

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

Consumption Survey. " " Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables" "Table HC11.4 Space Heating...

83

"Table HC15.1 Housing Unit Characteristics by Four Most Populated States, 2005"  

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

Housing Unit Characteristics by Four Most Populated States, 2005" Housing Unit Characteristics by Four Most Populated States, 2005" " Million Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Housing Unit Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Census Region and Division" "Northeast",20.6,7.1,"N","N","N" "New England",5.5,"N","N","N","N" "Middle Atlantic",15.1,7.1,"N","N","N" "Midwest",25.6,"N","N","N","N" "East North Central",17.7,"N","N","N","N"

84

Chicagoland Single-Family Housing Characterization  

Science Conference Proceedings (OSTI)

In this report, the PARR team identifies housing characteristics and energy use for fifteen housing types (groups) in the Chicagoland (Cook County, Illinois) region and specifies measure packages that provide an optimum level of energy savings based on a BEopt analysis. The analysis is based on assessor data and actual energy consumption data on 432,605 houses representing approximately 30% of the population.

Spanier, J.; Scheu, R.; Brand, L.; Yang, J.

2012-06-01T23:59:59.000Z

85

Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,  

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

0a. Housing Unit Characteristics by Midwest Census Region, 0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.8 Total .............................................................. 107.0 24.5 17.1 7.4 NE Census Region and Division Northeast ..................................................... 20.3 -- -- -- NF New England ............................................. 5.4 -- -- -- NF Middle Atlantic ........................................... 14.8 -- -- -- NF Midwest ....................................................... 24.5 24.5 17.1 7.4 NF East North Central ..................................... 17.1 17.1

86

Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,  

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

9a. Housing Unit Characteristics by Northeast Census Region, 9a. Housing Unit Characteristics by Northeast Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Census Region and Division Northeast ..................................................... 20.3 20.3 14.8 5.4 NF New England ............................................. 5.4 5.4 Q 5.4 NF Middle Atlantic ........................................... 14.8 14.8 14.8 Q NF Midwest ....................................................... 24.5 -- -- -- NF East North Central ..................................... 17.1 -- -- -- NF

87

A look at commercial buildings in 1995: Characteristics, energy consumption, and energy expenditures  

SciTech Connect

The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of facilities that would not be considered commercial in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously triennially) by the Energy Information Administration (EIA). The target population for the 1995 CBECS consisted of all commercial buildings in the US with more than 1,000 square feet of floorspace. Decision makers, businesses, and other organizations that are concerned with the use of energy--building owners and managers, regulators, legislative bodies and executive agencies at all levels of government, utilities and other energy suppliers--are confronted with a buildings sector that is complex. Data on major characteristics (e.g., type of building, size, year constructed, location) collected from the buildings, along with the amount and types of energy the buildings consume, help answer fundamental questions about the use of energy in commercial buildings.

1998-10-01T23:59:59.000Z

88

Energy consumption and usage characteristics from field measurements of residential dishwashers, clothes washers and clothes dryers  

SciTech Connect

The measured energy consumption and usage characteristics for household dishwashers, clothes washers, and clothes dryers for ten townhouses at Twin Rivers, N.J., are presented. Whenever the dishwashers and/or clothes washers were in use, the energy consumption, water consumption, frequency of usage, and water temperature were measured by a data acquisition system. The electrical energy of electric clothes dryers and the gas consumption of gas clothes dryers were measured, as well as their frequency and duration of use, and exhaust temperature. Typical household usage patterns of these major appliances are included.

Chang, Y.L.; Grot, R.A.

1980-10-01T23:59:59.000Z

89

Comparative analysis of energy consumption trends in cohousing and alternate housing arrangements  

E-Print Network (OSTI)

The sizes of both single-family and multifamily homes have grown steadily in the United States over the last fifty years. During this time, despite more efficient production processes, energy consumption in the country ...

Brown, Jason R. (Jason Robert), 1975-

2004-01-01T23:59:59.000Z

90

Table HC4.4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005  

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

.4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005 .4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005 Million U.S. Housing Units Total................................................................ 111.1 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Space Heating Equipment....... 1.2 0.6 Q Q Q 0.3 Q Have Main Space Heating Equipment.......... 109.8 32.3 8.0 3.3 5.8 14.1 1.1 Use Main Space Heating Equipment............ 109.1 31.8 8.0 3.2 5.6 13.9 1.1 Have Equipment But Do Not Use It.............. 0.8 0.5 N Q Q Q Q Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 16.4 4.5 2.1 3.2 6.2 0.3 Central Warm-Air Furnace........................ 44.7 10.0 3.3 1.4 1.6 3.3 0.3 For One Housing Unit........................... 42.9 8.6 3.3 1.2 1.4 2.4 0.3 For Two Housing Units..........................

91

Table HC3.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005  

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

.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005 .4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005 Million U.S. Housing Units Total................................................................ 111.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Space Heating Equipment....... 1.2 0.6 0.3 N Q Q Q Have Main Space Heating Equipment.......... 109.8 77.5 63.7 4.2 1.8 2.2 5.6 Use Main Space Heating Equipment............ 109.1 77.2 63.6 4.2 1.8 2.1 5.6 Have Equipment But Do Not Use It.............. 0.8 0.3 Q N Q Q Q Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 41.8 35.3 2.8 1.2 1.0 1.6 Central Warm-Air Furnace........................ 44.7 34.8 29.7 2.3 0.7 0.6 1.4 For One Housing Unit........................... 42.9 34.3 29.5 2.3 0.6 0.6 1.4 For Two Housing Units..........................

92

"Table HC3.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005"  

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

4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005" 4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Space Heating Equipment",1.2,0.6,0.3,"N","Q","Q","Q" "Have Main Space Heating Equipment",109.8,77.5,63.7,4.2,1.8,2.2,5.6

93

"Table HC3.8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005"  

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

8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005" 8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Number of Water Heaters" "1.",106.3,74.5,60.9,4,1.8,2.2,5.5 "2 or More",3.7,3.3,3,"Q","Q","Q","Q" "Do Not Use Hot Water",1.1,0.3,"Q","Q","N","Q","Q"

94

"Table HC4.9 Home Appliances Characteristics by Renter-Occupied Housing Unit, 2005"  

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

HC4.9 Home Appliances Characteristics by Renter-Occupied Housing Unit, 2005" HC4.9 Home Appliances Characteristics by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S.",111.1,33,8,3.4,5.9,14.4,1.2 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,32.3,7.9,3.3,5.9,14.1,1.1 "1.",103.3,31.4,7.6,3.3,5.7,13.7,1.1 "2 or More",6.2,0.9,0.3,"Q","Q",0.4,"Q"

95

"Table HC3.6 Air Conditioning Characteristics by Owner-Occupied Housing Units, 2005"  

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

6 Air Conditioning Characteristics by Owner-Occupied Housing Units, 2005" 6 Air Conditioning Characteristics by Owner-Occupied Housing Units, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Air Conditioning Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Cooling Equipment",17.8,11.3,9.3,0.6,"Q",0.4,0.9 "Have Cooling Equipment",93.3,66.8,54.7,3.6,1.7,1.9,4.8 "Use Cooling Equipment",91.4,65.8,54,3.6,1.7,1.9,4.7

96

"Table HC4.11 Home Electronics Characteristics by Renter-Occupied Housing Unit, 2005"  

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

1 Home Electronics Characteristics by Renter-Occupied Housing Unit, 2005" 1 Home Electronics Characteristics by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Electronics Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Personal Computers" "Do Not Use a Personal Computer ",35.5,15.3,3,1.9,3.1,6.4,0.8 "Use a Personal Computer",75.6,17.7,5,1.6,2.8,8,0.4 "Number of Desktop PCs"

97

"Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005"  

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

2 Living Space Characteristics by Owner-Occupied Housing Units, 2005" 2 Living Space Characteristics by Owner-Occupied Housing Units, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions) " ,,,"Single-Family Units",,"Apartments in Buildings With--" "Living Space Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1.1,"Q","Q","Q","Q",0.4 "500 to 999",23.8,7.2,3.5,0.3,0.3,0.9,2.2

98

"Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005"  

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

2 Living Space Characteristics by Renter-Occupied Housing Units, 2005" 2 Living Space Characteristics by Renter-Occupied Housing Units, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Living Space Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1.1,"Q","Q","Q","Q",0.4 "500 to 999",23.8,7.2,3.5,0.3,0.3,0.9,2.2

99

"Table HC4.8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005"  

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

8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005" 8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Number of Water Heaters" "1.",106.3,31.9,7.9,3.4,5.8,13.7,1.1 "2 or More",3.7,0.4,"Q","Q","Q","Q","N" "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q",0.6,"Q"

100

"Table HC3.11 Home Electronics Characteristics by Owner-Occupied Housing Unit, 2005"  

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

1 Home Electronics Characteristics by Owner-Occupied Housing Unit, 2005" 1 Home Electronics Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Electronics Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Personal Computers" "Do Not Use a Personal Computer ",35.5,20.3,14.8,1.2,0.6,0.9,2.8 "Use a Personal Computer",75.6,57.8,49.2,2.9,1.2,1.4,3 "Number of Desktop PCs"

Note: This page contains sample records for the topic "housing characteristics 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

"Table HC3.9 Home Appliances Characteristics by Owner-Occupied Housing Unit, 2005"  

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

HC3.9 Home Appliances Characteristics by Owner-Occupied Housing Unit, 2005" HC3.9 Home Appliances Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S.",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,77.3,63.4,4.1,1.8,2.3,5.6 "1.",103.3,71.9,58.6,3.9,1.6,2.2,5.5 "2 or More",6.2,5.4,4.8,"Q","Q","Q","Q"

102

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)

103

Consumption  

E-Print Network (OSTI)

www.eia.gov Annual Energy Outlook 2013 projections to 2040 Growth in energy production outstrips consumption growth Crude oil production rises sharply over the next decade Motor gasoline consumption reflects more stringent fuel economy standards The U.S. becomes a net exporter of natural gas in the early 2020s U.S. energy-related carbon dioxide emissions remain below their 2005 level through 2040

Adam Sieminski Administrator; Adam Sieminski; Adam Sieminski; Adam Sieminski; Adam Sieminski

2013-01-01T23:59:59.000Z

104

Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005  

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

1.1 Housing Unit Characteristics by Northeast Census Region, 2005 1.1 Housing Unit Characteristics by Northeast Census Region, 2005 Total......................................................................... 111.1 20.6 15.1 5.5 Urban/Rural Location (as Self-Reported) City....................................................................... 47.1 6.9 4.7 2.2 Town..................................................................... 19.0 6.0 4.2 1.9 Suburbs................................................................ 22.7 4.4 4.0 0.5 Rural..................................................................... 22.3 3.2 2.3 0.9 Climate Zone 1 Less than 2,000 CDD and-- Greater than 7,000 HDD.................................... 10.9 1.9 Q 1.3 5,500 to 7,000 HDD........................................... 26.1 9.8 5.7 4.1 4,000 to 5,499 HDD...........................................

105

Table HC1-1a. Housing Unit Characteristics by Climate Zone,  

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

a. Housing Unit Characteristics by Climate Zone, a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.8 1.0 1.1 1.2 1.1 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 8.0 Census Region and Division Northeast ...................................... 20.3 1.9 10.0 8.4 Q Q 6.8 New England .............................. 5.4 1.4 4.0 Q Q Q 18.4 Middle Atlantic ............................ 14.8 0.5 6.0 8.4 Q Q 4.6 Midwest ......................................... 24.5 5.4 14.8 4.3 Q Q 19.0 East North Central ...................... 17.1

106

Table HC1-3a. Housing Unit Characteristics by Household Income,  

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

3a. Housing Unit Characteristics by Household Income, 3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast ...................................... 20.3 3.3 4.2 4.9 7.8 2.6 6.8 6.4 New England .............................. 5.4 0.8 1.1 1.3 2.3 0.6 1.6 9.9 Middle Atlantic ............................ 14.8 2.6 3.2 3.5 5.6 2.0 5.2 7.7 Midwest ......................................... 24.5 3.7 5.2 6.8 8.9 2.8 7.4 5.8 East North Central ......................

107

Table HC1-2a. Housing Unit Characteristics by Year of Construction,  

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

2a. Housing Unit Characteristics by Year of Construction, 2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.6 1.2 1.0 1.1 1.1 0.8 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Census Region and Division Northeast ...................................... 20.3 1.5 2.4 2.1 2.8 3.0 8.5 8.8 New England .............................. 5.4 0.4 0.7 0.4 0.8 0.9 2.3 11.3 Middle Atlantic ............................ 14.8 1.1 1.7 1.7 2.0 2.2 6.2 11.2 Midwest ......................................... 24.5 2.8 3.7 3.6 2.9 3.5 8.1 10.2 East North Central ...................... 17.1 2.0 2.5 2.5 2.0 2.6 5.5 11.9

108

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location,  

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

8a. Housing Unit Characteristics by Urban/Rural Location, 8a. Housing Unit Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.3 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.2 Census Region and Division Northeast ..................................................... 20.3 7.7 4.5 4.7 3.4 7.4 New England ............................................. 5.4 2.1 1.6 0.7 1.1 13.4 Middle Atlantic ........................................... 14.8 5.6 2.9 4.0 2.3 8.5 Midwest ....................................................... 24.5 11.1 4.9 4.8 3.7 10.1 East North Central ..................................... 17.1 8.3 3.0 3.4 2.5

109

Million U.S. Housing Units Total............................................................................  

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

Attached Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electronics Usage Indicators Detached Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electronics Usage Indicators Detached Status of PC When Not in Use Left On..............................................................

110

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

111

Experimental study of lube oil characteristics in the PCV system and effects on engine oil consumption  

E-Print Network (OSTI)

Engine oil consumption is an important source of hydrocarbon and particulate emissions in modem automobile engines. Great efforts have been made by automotive manufacturers to minimize the impact of oil consumption on ...

Lopez, Oscar, 1980-

2004-01-01T23:59:59.000Z

112

A Look at Commercial Buldings in 1995: Characteristics, Energy Consumption, and Energy Expenditures  

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

DOE/EIA-0625(95) DOE/EIA-0625(95) Distribution Category UC-950 A Look at Commercial Buildings in 1995: Characteristics, Energy Consumption, and Energy Expenditures October 1998 En ergy In for ma tion Ad min istra tion Of fice of En ergy Mar kets and End Use U.S. De part ment of En ergy Wash ing ton, DC 20585 This re port was pre pared by the En ergy In for ma tion Ad min istra tion, the in de pend ent sta tis ti cal and ana lytic agency within the U.S. De part ment of En ergy. The in for ma tion con tained herein should be at trib uted to the En ergy In for ma tion Ad min istra tion and should not be con strued as ad vo cat ing or re flect ing any pol icy po si tion of the De part ment of En ergy or any other or gani za tion. Contacts The En ergy In for ma tion Ad min istra tion (EIA) pre pared this pub li ca tion un der the gen eral di rec tion of W. Cal vin

113

"Table HC2.1 Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009"  

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

Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009" Structural and Geographic Characteristics of U.S. Homes, By Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,,,"2 to 4 Units","5 or More Units","Mobile Homes" ,,"Detached","Attached" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Census Region and Division" "Northeast",20.8,10.9,1.8,3.1,4.4,0.5 "New England",5.5,3.1,0.3,1,1,0.1 "Middle Atlantic",15.3,7.8,1.5,2.1,3.4,0.4 "Midwest",25.9,18,1.2,1.9,3.7,1.1

114

Sources and characteristics of oil consumption in a spark-ignition engine  

E-Print Network (OSTI)

(cont.) At low load, oil flowing past by the piston was found to be the major consumption source, while the contributions of oil evaporation and of blowby entrainment became more significant with increasing engine load. ...

Yilmaz, Ertan, 1970-

2003-01-01T23:59:59.000Z

115

A Comparison of the Demographic Characteristics, Movtiations for Fishing, and Consumptive Orientation of Texas Urban and Rural Anglers  

E-Print Network (OSTI)

Sales of Texas fishing licenses have declined since 1988. Several authors have suggested that this decline is related to changes in the demographic characteristics of the Texas population, including increasing urbanization. As urban residents have been shown to participate in fishing less frequently than rural residents, the population of Texas residents most likely to engage in angling has declined accordingly. Based on these population trends, urban resident anglers (urban anglers) may represent the future of fishing. Information on urban anglers? demographic characteristics, motivations for fishing and consumptive orientation may be used to tailor and modify programs and policies targeting urban anglers. The purpose of this thesis was to identify differences between urban and rural anglers and to determine if the two groups were distinct from so-called average anglers. The thesis utilized data from the 2002 Statewide Survey of Texas Anglers. The independent variable, residency, was determined on the basis of United States Census Bureau criteria. Dependent variables included demographic variables (e.g., gender, age, race/ethnicity, and income), motivations for fishing, and consumptive orientation. Analysis of variance (ANOVA) and Kruskal-Wallis tests were used to compare mean ii scores among the three groups. The study found differences among urban anglers, rural anglers, and anglers in general in terms of their demographic variables, motivations for fishing, and consumptive orientation. The thesis also shows that by managing resources for average anglers, agencies may be ignoring important (and growing) constituencies.

Wolber, Nathan

2008-12-01T23:59:59.000Z

116

Table HC2.11 Home Electronics Characteristics by Type of Housing Unit, 2005  

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

Million U.S. Housing Units Total................................................................... 111.1 72.1 7.6 7.8 16.7 6.9 Personal Computers Do Not Use a Personal Computer ............... 35.5 17.8 3.1 3.7 7.3 3.6 Use a Personal Computer............................. 75.6 54.2 4.5 4.0 9.4 3.4 Number of Desktop PCs 1.............................................................. 50.3 33.9 3.1 3.0 7.6 2.7 2.............................................................. 16.2 12.7 0.9 0.7 1.4 0.5 3 or More................................................. 9.0 7.7 0.5 0.4 0.5 Q Number of Laptop PCs 1.............................................................. 22.5 16.0 1.4 1.3 3.2 0.6 2.............................................................. 4.0 3.2 0.2 Q 0.4 Q 3 or More.................................................

117

Table HC2.9 Home Appliances Characteristics by Type of Housing Unit, 2005  

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

Million U.S. Housing Units Total U.S............................................................ 111.1 72.1 7.6 7.8 16.7 6.9 Cooking Appliances Conventional Ovens Use an Oven............................................... 109.6 71.3 7.4 7.7 16.4 6.8 1.............................................................. 103.3 66.2 7.2 7.4 15.9 6.7 2 or More................................................. 6.2 5.1 Q 0.3 0.5 Q Do Not Use an Oven................................... 1.5 0.7 Q Q 0.4 Q Most-Used Oven Fuel Electric..................................................... 67.9 45.5 4.4 3.7 10.7 3.7 Natural Gas.............................................. 36.4 22.0 3.0 3.9 5.6 1.8 Propane/LPG........................................... 5.2 3.8 Q Q Q 1.3 Self-Cleaning Oven Use a Self-Cleaning Oven........................

118

Residential Energy Consumption Survey: Quality Profile  

SciTech Connect

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

NONE

1996-03-01T23:59:59.000Z

119

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

120

Energy consumption for baking and characteristics of baked product in relation to type of oven and baking procedure  

Science Conference Proceedings (OSTI)

Data were obtained and analyzed on 1) energy consumption when a test food was baked with four types of electric ovens (electric range oven, table model conventional oven, table model forced convection oven, and table model broiler/toaster oven) with three cooking procedures (participant's own procedure, preheated procedure, and cold start procedure); 2) patterns of energy consumption in 10-minute intervals; and 3) the characteristics of the finished food. Twenty participants from households in Columbus, Ohio, baked loaves of quick bread in a laboratory in the four types of ovens with three cooking procedures. Statistical analyses of data included analyses of variance, Tukey test, and Duncan's multiple range test. Significantly more energy was used with the participants' own procedures than with either the preheated or the cold start procedure (p < .01). There was no consistency in total energy consumption between the preheated and the cold start procedures in the four types of ovens. The electric range oven consumed significantly more energy than the other three types of ovens in the first 10-minute interval; however, the table model forced convection oven consumed significantly more energy than other ovens in the second and third 10-minute intervals. No consistent patterns were observed for volume and weight loss of breads baked with the three cooking procedures, but use of the table model forced convection oven always resulted in larger volume than with other ovens.

Nee, Y.

1982-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

" Million U.S. Housing Units"  

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

3 Household Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit"...

122

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

123

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

124

The 1997 Residential Energy Consumption Survey -- Two Decades  

U.S. Energy Information Administration (EIA)

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

125

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Kenworthy (1989a). Gasoline consumption and cities. JournalVehicle Usage and Energy Consumption Table 2 Housing Unitsvehicular energy consumption is graphed as a function of

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

126

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

127

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

128

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

129

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.

130

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

131

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

132

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

133

1997 Housing Characteristics Tables Housing Unit Tables  

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

1.4 23.3 Kerosene ... 3.5 0.4 0.8 0.9 0.9 0.4 19.1 Solar ... 0.7 Q Q Q Q 0.4 51.1 Main Heating Fuel...

134

1997 Housing Characteristics Tables Housing Unit Tables  

Annual Energy Outlook 2012 (EIA)

Products and Services Users can view and download selected pages or entire reports, search for information, download data and analysis applications, and find out about new...

135

" Million U.S. Housing Units"  

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

"Table HC10.3 Household Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Household Characteristics",,"No...

136

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

137

House Shrews  

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

have a mouse problem each winter as the field mice enter from the 120 acres around the house. I read the answer in the archives on mouse house infestation. My question is are the...

138

Bat House  

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

House Name: gregory Location: NA Country: NA Date: NA Question: we live in o'fallon, il, (about 20 miles east of st.louis) and want to put a bat house in our backyard, but we...

139

1997 Residential Energy Consumption Survey -- Background  

U.S. Energy Information Administration (EIA)

This information includes the physical characteristics of the housing units, the appliances utilized including space heating and cooling equipment, ...

140

RECS data show decreased energy consumption per household  

Reports and Publications (EIA)

Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energy consumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

2012-06-06T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

"Table HC4.13 Lighting Usage Indicators by Renter-Occupied Housing...  

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

and End Use, Forms EIA-457 A, B, C of the 2005 Residential Energy Consumption Survey. " " Energy Information Administration 2005 Residential Consumption Survey: Preliminary Housing...

142

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)

143

Table 6a. Total Electricity Consumption per Effective Occupied...  

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

a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

144

National Interim Energy-Consumption Survey. Part VI. Energy assessment  

Science Conference Proceedings (OSTI)

The goal of energy assessment of the housing unit is to obtain physical information which can be combined with other survey results to give a more complete picture of the residential environment. A limited pretest of an energy assessment procedure was carried out in April-June 1979 with a subsample of 44 households that had been originally interviewed in the National Interim Energy Consumption Survey. In order to gain experience under a variety of environmental conditions, the pretest sites included locations in the Northeast, North Central, and South regions. As developed for the pretest, the energy assessment was a 90-minute inspection of the housing unit by a trained technician. Data collected during the inspection included square footage of the unit; age, make, and characteristics of appliances; insulation characteristics, characteristics of siting and apertures; and detailed information on the heating and cooling systems in the unit. The report describes the data collection procedures for the pretest.

Not Available

1981-01-01T23:59:59.000Z

145

Occupancy Simulation in Three Residential Research Houses  

Science Conference Proceedings (OSTI)

Three houses of similar floor plan are being compared for energy consumption. The first house is a typical builder house of 2400 ft2 (223 m2) in east Tennessee. The second house contains retrofits available to a home owner such as energy efficient appliances, windows and HVAC, as well as an insulated attic which contains HVAC duct work. The third house was built using optimum-value framing construction with photovoltaic modules and solar water heating. To consume energy researchers have set up appliances, lights, and plug loads to turn on and off automatically according to a schedule based on the Building America Research Benchmark Definition. As energy efficiency continues to be a focus for protecting the environment and conserving resources, experiments involving whole house energy consumption will be done. In these cases it is important to understand how to simulate occupancy so that data represents only house performance and not human behavior. The process for achieving automated occupancy simulation will be discussed. Data comparing the energy use of each house will be presented and it will be shown that the third house used 66% less and the second house used 36% less energy than the control house in 2010. The authors will discuss how energy prudent living habits can further reduce energy use in the third house by 23% over the average American family living in the same house.

Boudreaux, Philip R [ORNL; Gehl, Anthony C [ORNL; Christian, Jeffrey E [ORNL

2012-01-01T23:59:59.000Z

146

Postdoc Housing  

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

Housing Housing Postdoc Housing Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Email Housing in Los Alamos, nearby communities If you are interested in posting a housing opportunity, email the pertinent information to postdocprogram@lanl.gov. Housing listings will be posted for one month. If you wish for the listing to remain on the website longer, please contact the Postdoc Program Office by email. 12/18/2013 Available - Los Alamos, NM Rare top floor Iris Street Condo. Wake up & walk across the street to grab your morning bagel & latte. Stroll a bit further to enjoy the NM sunshine at the Ashley Pond! Spend your day in the heart of downtown, sweat it out

147

Student Housing  

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

Housing Housing Student Housing Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. If you are interested in posting a housing opportunity, email the pertinent information to Student Housing. Housing listings will be posted for two months. If you wish for the listing to remain on the website longer, please contact the Student Program Office by email. 01/09/2014 Available 1/10/2014 - Los Alamos, NM 35th Street Duplex - 3 Bedroom/1 bath; Very clean and very nice; All storm windows, furnace and water boiler were replaced in FY 2012; Kitchen and bathroom equipment was all replaced in FY2012 as well; Large fenced back yard with a storage shed; Within walking distance of Aspen Elementary

148

Housing - TMS  

Science Conference Proceedings (OSTI)

July 7-11, 2013 Salt Lake Marriott Downtown at City Creek Salt Lake City, Utah . HOUSING. Salt Lake Marriott Downtown at City Creek 75 South West Temple

149

" Million U.S. Housing Units"  

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

"Table HC14.3 Household Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

150

Housing Characteristics 1993 -- Executive Summary  

U.S. Energy Information Administration (EIA)

... those households that may not be knowledgeable about the fuels used for space heating or ... space heating, air-conditioning, appliances, lights ...

151

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

Within each section, except for Air-conditioning and Light Usage, ... the Light Usage section includes a table that describes indoor light usage by ...

152

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

153

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

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

154

Impacts of the Weatherization Assistance Program in fuel-oil heated houses  

Science Conference Proceedings (OSTI)

In 1990, the US Department of Energy (DOE) initiated a national evaluation of its lowincome Weatherization Assistance Program. This report, which is one of five parts of that evaluation, evaluates the energy savings and cost-effectiveness of the Program as it had been applied to single-family houses heated primarily by fuel-oil. The study was based upon a representative sample (41 local weatherization agencies, 222 weatherized and 115 control houses) from the nine northeastern states during 1991 and 1992 program years. Dwelling-specific and agency-level data on measures installed, costs, and service delivery procedures were collected from the sampled agencies. Space-heating fuel-oil consumption, indoor temperature, and outdoor temperature were monitored at each house. Dwelling characteristics, air-leakage measurements, space-heating system steady-state efficiency measurements, safety inspections, and occupant questionnaires were also collected or performed at each monitored house. We estimate that the Program weatherized a total of 23,400 single-family fuel-oil heated houses in the nine northeastern states during program years 1991 and 1992. Annual fuel-oil savings were calculated using regression techniques to normalize the savings to standard weather conditions. For the northeast region, annual net fuel-oil savings averaged 160 gallons per house, or 17.7% of pre-weatherization consumption. Although indoor temperatures changed in individual houses following weatherization, there was no average change and no significant difference as compared to the control houses; thus, there was no overall indoor temperature takeback effect influencing fuel-oil savings. The weatherization work was performed cost effectively in these houses from the Program perspective, which included both installation costs and overhead and management costs but did not include non-energy benefits (such as employment and environmental).

Levins, W.P.; Ternes, M.P.

1994-10-01T23:59:59.000Z

155

House Wrens  

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

of Cook County Richard B. Ogilvie, President Roland F. Eisenbeis, Supt. of Conservation HOUSE WRENS Ten years ago this spring we moved and, of course, put up some nest boxes for...

156

House Wrens  

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

Wrens Name: Rebecca Location: NA Country: NA Date: NA Question: How long does a house wren live. I'm doing research on this bird I can't seem to find that much info. on it...

157

Arctic house  

E-Print Network (OSTI)

Currently available housing in the Arctic is limited to solutions that have been adapted from designs for less severe climates. This thesis has developed a new manner of residential construction designed specifically for ...

Turkel, Joel A. (Joel Abram), 1969-

1999-01-01T23:59:59.000Z

158

Analyzing policy, land use and zoning characteristics : understanding the potential to build housing near rail in the city of Los Angeles  

E-Print Network (OSTI)

Firstly, the author provides an overview and analysis of the City of Los Angeles political framework and implementation strategies to encourage the housing development near rail stations. Secondly, the author discusses the ...

Camarena, Erin M

2005-01-01T23:59:59.000Z

159

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.

160

Solar energy systems for manufactured housing  

DOE Green Energy (OSTI)

The opportunities for solar energy utilization in manufactured housing such as mobile homes and modular homes are discussed. The general characteristics of the manufactured housing industry are described including market and prices. Special problems of the utilization of liquid heating collectors, air heating collectors, or passive types of solar heating systems in manufactured housing are considered. The market situation for solar energy in manufactured housing is discussed. The design of the Los Alamos Scientific Laboratory mobile/modular home is described.

Balcomb, J.D.

1976-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

House Snakes  

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

House Snakes House Snakes Name: LOIS Location: N/A Country: N/A Date: N/A Question: How do you get rid of snakes in a house? Do mothballs work? Replies: The snake is the most misunderstood and most abused of all animals. If you cannot overcome your abhorrence or fear of them, leave them alone. Do not kill them. They are valuable destroyers of mice, rats, gophers and many insects. Perhaps the following links could be of some assistance in keeping people from indiscriminately killing snakes? Snake-A-Way is the same product used by the pest control industry and currently the only registered snake repellent. Snake-A-Way links: http://www.animalrepellents.com/snakeinfo.html http://www.animalrepellents.com/ustudies/saw.html http://www.animalrepellents.com/editorials/naturel.html

162

Sod Houses  

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

Houses Houses Nature Bulletin No. 620 December 3, 1960 Forest Preserve District of Cook County Daniel Ryan, President Roberts Mann, Conservation Editor David H. Thompson, Senior Naturalist SOD HOUSES In the 1860's and 70's, when pioneer settlers came to homestead free land on the vast lonely prairies of Kansas and Nebraska, they found a country that, except for fringes of cottonwoods and willows along the streams, was treeless. There was no rock and mighty little timber for building houses and barns. Lumber was very expensive and scarce. So was money. However, the prairies were thickly covered with short, drought- enduring buffalo and blue grama grasses. Some of the Indian tribes which not only hunted buffalo but also grew corn -- notably the Pawnee, Osage and Hidatsa -- had large earthlodges. They used sod in the walls and the conical or dome-like roofs had pole rafters covered with willow brush, slough hay, sod, and finally clay. So the homesteaders were inspired to build their homes with slabs of the remarkably thick and tough prairie sod: "Nebraska marble".

163

Open House  

Science Conference Proceedings (OSTI)

When the US housing market collapsed in 2008, so did the dreams of many middle- and lower-class Americans. Florida, California, Nevada, and Arizona were hit particularly hard, and not by a force of nature, but by the abstract and invisible hand of the ...

Jack Stenner; Patrick LeMieux

2011-08-01T23:59:59.000Z

164

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

SciTech Connect

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

Not Available

1980-07-01T23:59:59.000Z

165

Household energy consumption and expenditures 1993  

Science Conference Proceedings (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

166

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

SciTech Connect

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

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

1984-01-01T23:59:59.000Z

167

SURF NIST Boulder - Housing  

Science Conference Proceedings (OSTI)

Housing. ... Students will be responsible for paying a housing deposit and rent which are covered by the subsistence allowance. ...

2012-12-17T23:59:59.000Z

168

Concordia Publishing House  

Science Conference Proceedings (OSTI)

... Nonprofit Category. Concordia Publishing House. man at ... cph.org. Concordia Publishing House (CPH) is the St. Louis, Mo ...

2011-11-22T23:59:59.000Z

169

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

170

Significant potential for plug-in vehicles exists in U.S. housing ...  

U.S. Energy Information Administration (EIA)

Certain housing characteristics limit potential for electric (either plug-in hybrid or all-electric) vehicles, especially the type of housing.

171

TY JOUR T1 Analysis of Air Leakage Measurements of US Houses  

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

house characteristics Explanatory variables that are correlated with NL includeyear built climate zone floor area house height and whether homes participated in WAPs or if theyare...

172

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

173

HVAC Improvements for Existing Houses  

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

HVAC Improvements for Existing Houses HVAC Improvements for Existing Houses Speaker(s): Chryséis Bovagnet Date: September 5, 2002 - 12:00pm Location: Bldg. 90 Many older houses in the US are either not well designed from a thermal point of view or have HVAC (Heating Ventilation and Air Conditioning) systems in need of repairs or improvements. The building envelopes tend to have poor insulation and lots of leakage, and the HVAC systems are inefficient. The cooling/heating equipment is often located outside of the conditioned space (e.g. in attics or crawlspaces) with ducts that leak and have poor insulation, which cause energy loss and bad occupant comfort on peak days or in extreme climates. We developed a series of retrofits that will allow us to reduce the energy consumption of residential HVAC

174

Essays on the effects of demographics on household consumption.  

E-Print Network (OSTI)

??My dissertation analyses the relationship between households' consumption behavior and changes in family demographic characteristics. The first paper studies consumption over the period of the (more)

Stepanova, Ekaterina, 1977-

2006-01-01T23:59:59.000Z

175

Meadowlark House  

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

Large windows and open floor Large windows and open floor plan in main living area provide natural daylight * LED light bulbs reduce energy consumption * East-west orientation optimizes natural lighting and passive heating * Energy recovery ventilator reduces energy requirements for interior heating and cooling * Air-tight building envelope prevents air leakage and moisture infiltration * Superinsulation in walls, ceilings, and floor slab with R-value for walls (R-40), foundation floor slab (R-50),

176

THE WHITE HOUSE | Department of Energy  

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

THE WHITE HOUSE THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications THE WHITE HOUSE White House Mission Requests Memorandum...

177

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total Type of Housing Unit

178

House Spiders  

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

Spiders Spiders Nature Bulletin No. 206-A November 13, 1965 Forest Preserve District of Cook County Seymour Simon, President Roland F. Eisenbeis, Supt. of Conservation HOUSE SPIDERS Nothing humiliates a housewife more than to spy a dusty streamer of cobwebs dangling from the ceiling when she has "company". With a cloth on the end of her broom, or a vacuum cleaner, she wages continual war on spiders. The spider itself frequently escapes by darting into a hide-away or dropping by a thread of silk to the floor where it may play "possum" until things have quieted down. But in basements, in unused rooms, in attics, between windows and screens, beneath porches, and in garages or other out buildings, many small spiders live their interesting lives.

179

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

180

Housing policy in China  

E-Print Network (OSTI)

In the last three decades, the People's Republic of China (PRC) has managed to replace its welfare-based urban housing system with a market-based housing provision scheme. With such significant housing policy changes, the ...

Gao, Lu, S.M. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

2012 ALS Open House  

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

House 2012 ALS Open House Print More than 6000 people came up the hill to see what is happening at Berkeley Lab during Open House on Saturday, October 13, and more than 1500 of...

182

" Million U.S. Housing Units"  

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

Housing Unit Characteristics by Type of Housing Unit, 2005" Housing Unit Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Housing Unit Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Census Region and Division" "Northeast",20.6,11.2,2.3,2.5,4.2,0.4 "New England",5.5,3.2,0.2,0.9,1,0.2 "Middle Atlantic",15.1,7.9,2.1,1.6,3.2,0.3 "Midwest",25.6,18.7,1.5,1.5,3.1,0.8 "East North Central",17.7,12.9,1.2,1.2,2.1,0.4

183

End-Use Consumption of Electricity by End Use and Appliance  

U.S. Energy Information Administration (EIA)

Home > Residential Home > Special Topics > Figure 1. Percent of Total Electricity Consumption in U.S. Housing Units, 2001 . Contact. Chip Berry

184

Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

U.S. Energy Information Administration (EIA)

Total Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total ... where the end use is electric air-conditioning, ...

185

California's Housing Problem  

E-Print Network (OSTI)

could not only improve Californias housing opportunitiesrequirements for education California Budget Project.Locked Out 2004: Californias Affordable Housing Crisis.

Kroll, Cynthia; Singa, Krute

2008-01-01T23:59:59.000Z

186

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

E-Print Network (OSTI)

2004, "Household Energy Consumption Reported o n A National2006, "Household Energy consumption Reported i n a Nationalconsumption for different uses i n housing and energy usage analysis based on national

2006-01-01T23:59:59.000Z

187

Household energy and consumption and expenditures, 1990. Supplement, Regional  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

188

EnergyPlus vs DOE-2: The Effect of Ground Coupling on Heating and Cooling Energy Consumption of a Slab-On-Grade Code House in a Cold Climate  

E-Print Network (OSTI)

For low-rise buildings, the heat loss through the ground coupled floor is a significant load component. Studies showed that the current simulation tools give dissimilar results for the ground coupled heat transfer (GCHT) in slab-on-grade constructions. This paper extends the previous comparative work by comparing EnergyPlus and DOE-2.1e results for GCHT based on a slab-ongrade code house in a cold climate. Three GCHT models were used in the study. These models were Winkelmanns (2002) model in DOE-2.1e, Winkelmanns model in EnergyPlus and EnergyPlus with its GCHT calculator utility, Slab.

Andolsun, S.; Culp, C.; Haberl, J.

2010-08-01T23:59:59.000Z

189

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

Science Conference Proceedings (OSTI)

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

Not Available

1983-02-01T23:59:59.000Z

190

Table HC8.9 Home Appliances Characteristics by Urban/Rural ...  

U.S. Energy Information Administration (EIA)

Table HC8.9 Home Appliances Characteristics by Urban/Rural Location, 2005 Home Appliances Characteristics Million U.S. Housing Units Housing Units (millions)

191

Significant potential for plug-in vehicles exists in U.S. housing ...  

U.S. Energy Information Administration (EIA)

... Official Energy Statistics from the U.S. Government ... wind, geothermal, biomass and ethanol ... Certain housing characteristics limit potential for ...

192

House Retirement Timeline  

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

House Retirement House Retirement Timeline House is retiring December 20,2013 Fix your pipelines, move data and get help now! /house is POWERED OFF. 12/20/2013 Questions? Contact Kjiersten & Doug; consult@nersc.gov Office hours: MWThF 10:00-12:00 400-413 The link to /house will be permanently changed; all pipelines that have not removed /house dependencies will break. 11/15/2013 Your actions: Find anything that is still broken and let the developers know. Check houseHunter Continue data migration. We DO NOT GUARANTEE that you will be able to get data off /house after this date. 12/1/2013 Your action: Contact your group lead if you still need data /jgi/tools will no longer be in the default path 10/1/2013 Timeline & Important Dates The link to /house will be temporarily

193

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

U.S. Energy Information Administration (EIA)

Physical Characteristics : Type of Housing (HC2.13) PDF XLS: Year of Construction ... Privacy/Security Copyright & Reuse Accessibility. Related Sites U.S. Department ...

194

Table 6.2 Consumption Ratios of Fuel, 2002  

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

2 Consumption Ratios of Fuel, 2002;" 2 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,"Consumption" " ",,"Consumption","per Dollar"," " " ","Consumption","per Dollar","of Value","RSE" "Economic","per Employee","of Value Added","of Shipments","Row" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

195

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2006;" 3 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

196

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2002;" 3 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

197

Low Impact, Affordable, Low Income Houses for Mexico  

E-Print Network (OSTI)

This paper discusses an effort to develop low impact, affordable, low income houses for Mexico. Low impact houses are defined as houses with energy and water needs that are substantially reduced below levels corresponding to code compliance. This paper includes an analysis of the population and energy consumption of the different climate regions in Mexico (Hot-Dry Deserts, Great Plains, Mediterranean, Semi-Arid, Temperate, Hot-Dry Jungles and Hot-Humid Jungles) versus the USA and concludes with advice on an approach for low impact housing.

Alcocer, J. L. B.; Haberl, J. S.

2010-08-01T23:59:59.000Z

198

Predicted vs. Actual Energy Savings of Retrofitted House  

E-Print Network (OSTI)

This paper reports the results of actual energy savings and the predicted energy savings of retrofitted one-story house located in Dhahran, Saudi Arabia. The process started with modeling the house prior to retrofitting and after retrofitting. The monthly metered energy consumption is acquired from the electric company archives for seven years prior to retrofitting and recording the actual monthly energy consumption of the post retrofitting. The house model is established on DOE 2.1. Actual monthly energy consumption is used to calibrate and fine-tuning the model until the gap between actual and predicted consumption was narrowed. Then the Energy Conservation Measures (ECMs) are entered into the modeled house according to the changes in thermo-physical properties of the envelope and the changes in schedules and number of users. In order to account for those differences, electrical consumption attributed to A/C in summer was isolated and compared. The study followed the International Performance Measurement & Verification Protocol (IPMVP) in assessing the impact of energy conservation measures on actual, metered, building energy consumption. The study aimed to show the predicted savings by the simulated building model and the actual utility bills' analysis in air conditioning consumption and peak at monthly load due to building envelope.

Al-Mofeez, I.

2010-01-01T23:59:59.000Z

199

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

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

200

100% petroleum house  

E-Print Network (OSTI)

I am designing a Case Study House to be sponsored by Royal Dutch Shell which utilizes the by-product of oil extraction, petroleum gas, to produce a zero waste, 100% petroleum based house. The motivation of the Case Study ...

Costanza, David (David Nicholas)

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

Crested Flycatcher Bird House  

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

Crested Flycatcher Bird House Name: kristin Location: NA Country: NA Date: NA Question: What would be the best wood to use to build a house for a crested flycatcher? And what...

202

House Fly Ceiling  

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

NA Date: NA Question: We are a public library and have had a question regarding house flies. The question is "How high in the atmosphere can a house fly, fly? Replies:...

203

Texas House Tours Report  

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

house tour 1. A Decathlete will greet visitors at the site's en- trance, distributing tour books and introducing the SNAP House. 2. In the offi ce and entertainment cen- ter, a...

204

Multifamily Housing: Looking for Energy Solutions  

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

operating operating costs, increase resident satisfaction, and enhance the value of your properties. Turn to an ENERGY STAR ® Service and Product Provider Partner ENERGY STAR Service and Product Providers (SPPs) have the experience and tools to implement energy-efficient strategies that are right for you. Following the U.S. Environmental Protection Agency's (EPA) Guidelines for Energy Management, a proven strategy developed from ENERGY STAR partner successes, SPPs can help your organization gain control of energy consumption and costs. Energy Efficiency Benefits the Multifamily Housing Industry, Your Tenants, and the Environment ENERGY STAR SPPs can help multifamily housing owners and managers reap the financial and environmental benefits of superior energy

205

Table 1. Household Characteristics by Ceiling Fans, 2001  

U.S. Energy Information Administration (EIA)

A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

206

The Greening of Our House  

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

Greening of Our House (See also the Greening of the White House) The White House isn't the only building in the U.S. working toward a greener future. LBL's in-house energy...

207

BNL Biology Department - Open House  

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

Open House Open House in Biology is an annual event as part of BNL's Summer Sunday Tours in July and August. Have a look at pictures from past years: Open House 2001 Open House...

208

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.

209

" Million U.S. Housing Units"  

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

3 Household Characteristics by Renter-Occupied Housing Unit, 2005" 3 Household Characteristics by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Household Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Household Size" "1 Person",30,11.4,1.6,1,1.9,6.6,0.3 "2 Persons",34.8,8,1.9,0.8,1.5,3.5,0.3 "3 Persons",18.4,5.6,1.5,0.7,1.2,1.9,0.2 "4 Persons",15.9,4.3,1.3,0.6,0.7,1.6,"Q"

210

" Million U.S. Housing Units"  

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

8 Water Heating Characteristics by Type of Housing Unit, 2005" 8 Water Heating Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Number of Water Heaters" "1.",106.3,68.7,7.4,7.6,15.9,6.7 "2 or More",3.7,3.2,"Q","Q","Q","Q" "Do Not Use Hot Water",1.1,"Q","Q","Q",0.6,"Q" "Housing Units Served by Main Water Heater"

211

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

SciTech Connect

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

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

212

NREL: Housing Information  

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

Housing Information Housing Information Suggestions for where to start looking for short-term housing or apartments in the Golden, Colorado area are provided below. Short-term Housing Biz-Stay: Lakewood, Golden, Evergreen Housing Features: Short term furnished apartments to extended stay hotels Locations throughout the Lakewood-Golden-Evergreen area. Candlewood Suites 895 Tabor Street Golden, CO 80401 303-232-7171, ask for NREL rates or email Lisa.kennedy@ihg.com Housing Features: Pet friendly Free on-site laundry facilities All suites have kitchens Free high speed internet connections in all suites. University Housing Campus Village Apartments at the Auraria Campus University of Colorado Denver, Metro State College campus (May, June, July only) 318 Walnut St. Denver, CO 80204 303-573-5272

213

An analysis of residential energy consumption in a temperate climate  

SciTech Connect

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

Clark, Y.Y.; Vincent, W.

1987-06-01T23:59:59.000Z

214

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

215

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)

Survey on Electricity Consumption Characteristics of Homethe stakes for energy consumption are high, as we hope atAir Conditioning Energy Consumption in Developing Countries

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

216

Residential Housing Characteristics 1993 -- Detailed Tables ...  

U.S. Energy Information Administration (EIA)

Because so much of the energy used is lost as heat, these are highly inefficient sources of light. These common general-service bulbs emit light in ...

217

Residential Housing Characteristics Survey 1997 - Contents  

U.S. Energy Information Administration (EIA)

Laundry Equipment; Residential Home Page. File Last Modified: June 21, 1999 Contact: Robert.Latta@eia.doe.gov Robert B. Latta Phone: 202.586.1385 Fax Number: 202 ...

218

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

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

1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" 1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and States" "East North Central",17.9,2251,1869,1281,892,741,508 "Illinois",4.8,2186,1911,1451,860,752,571 "Michigan",3.8,1954,1559,962,729,582,359 "Wisconsin",2.3,2605,2091,1258,1105,887,534

219

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

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

3 Average Square Footage of West Homes, by Housing Characteristics, 2009" 3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States" "Mountain",7.9,1928,1695,1105,723,635,415 "Mountain North",3.9,2107,1858,912,776,684,336 "Colorado",1.9,2082,1832,722,896,788,311 "Idaho, Montana, Utah, Wyoming",2,2130,1883,1093,691,610,354

220

Factors of material consumption  

E-Print Network (OSTI)

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

Silva Daz, Pamela Cristina

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

Long-Term Results: New Construction Occupied Test House, Urbana, Illinois  

SciTech Connect

For this study, a house was designed and built to the Passive House (Passivhaus) Standard for low energy consumption. The house incorporates an airtight, super-insulated thermal enclosure, southern facing windows with overhangs, a single point mini-split heat pump and electric resistance heaters, and a balanced energy recovery ventilator (ERV). The house was instrumented with sub-metering on all major electrical circuits, temperature and humidity measurements in each room, domestic hot water consumption, and recovery efficiency of the ERV. The energy performance was documented and compared to modeled predictions, and the thermal comfort performance of the heat pump was assessed.

Stecher, D.; Allison, K.

2012-10-01T23:59:59.000Z

222

Pacific Northwest Residential Energy Consumption Survey : Sample Selection Activities.  

Science Conference Proceedings (OSTI)

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

Louis Harris and Associates

1983-08-03T23:59:59.000Z

223

Table 3.3 Fuel Consumption, 2002  

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

3 Fuel Consumption, 2002;" 3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

224

What is a low-energy house?  

Science Conference Proceedings (OSTI)

Traditionally, a ``low-energy`` house has been one that used little energy for space heating. But space heating typically accounts for less than half of the energy used by new US homes, and for low heating energy homes, space heating is often the third largest end use, behind water heating and appliances, and sometimes behind cooling. Low space heat alone cannot identify a low-energy house. To better understand the determinants of a low-energy house, we collected data on housing characteristics, incremental costs, and energy measurements from energy-efficient houses around the world and in a range of climates. We compare the energy required to provide thermal comfort as well as water heating, and other appliances. We do not have a single definition of a low-energy house, but through comparisons of actual buildings, we show how different definitions and quantitative indicators fail. In comparing the energy use of whole houses, weather normalization can be important, but for cases in which heating or cooling energy is surpassed by other end uses, other normalization methods must be used.

Litt, B.R.; Meier, A.K.

1994-08-01T23:59:59.000Z

225

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

226

House Simulation Protocols Report  

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

Building America's House Simulation Protocols report is designed to assist researchers in tracking the progress of multiyear, whole-building energy reduction against research goals for new and...

227

Recovery Act Open House  

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

Recovery Act Open House North Wind Environmental was one of three local small businesses that received Recovery Funding for projects at DOE's Idaho Site. Members of the community...

228

" Million Housing Units, Final...  

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

0 Appliances in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South...

229

" Million Housing Units, Final...  

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

8 Home Appliances in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle...

230

U.S. Residential Housing Site Energy Consumption  

U.S. Energy Information Administration (EIA)

Single-Family Detached 1,918 1,803 2,023 1,954 1,953 1,978 1,997 2,059 2,276 2,335 2,433 2,477 Single-Family Attached 47 104 71 52 43 93 95 109 221 ...

231

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

Consumption Consumption Electricity Consumption EIA Electricity Consumption Estimates (million kWh) National Petroleum Council Assumption: The definition of electricity con- sumption and sales used in the NPC 1999 study is the equivalent ofwhat EIA calls "sales by utilities" plus "retail wheeling by power marketers." This A nn u al Gro wth total could also be called "sales through the distribution grid," 2o 99 99 to Sales by Utilities -012% #N/A Two other categories of electricity consumption tracked by EIA cover on site Retail Wheeling Sales by generation for host use. The first, "nonutility onsite direct use," covers the Power Marketen 212.25% #N/A traditional generation/cogeneration facilities owned by industrial or large All Sales Through Distribution

232

2003 CBECS Building Characteristics and Consumption and ...  

U.S. Energy Information Administration (EIA)

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

233

Co-Designing Sustainable Communities: The Identification and Incorporation of Social Performance Metrics in Native American Sustainable Housing and Renewable Energy System Design  

E-Print Network (OSTI)

lighting Preserve environmental harmony by increasing usageLighting, Comfort Cluster Housing Swimming Fire Pit Usage ofusage of biofuels Reduce energy consumption in buildings by using CFLs Reduce energy consumption in buildings for lighting

Shelby, Ryan

2013-01-01T23:59:59.000Z

234

" Million U.S. Housing Units"  

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

8 Water Heating Characteristics by Urban/Rural Location, 2005" 8 Water Heating Characteristics by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Water Heating Characteristics",,"City","Town","Surburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Number of Water Heaters" "1.",106.3,45.5,18.2,21.6,21 "2 or More",3.7,1,0.6,0.9,1.1 "Do Not Use Hot Water",1.1,0.6,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,39.4,17.4,21,21.8 "Two or More Housing Units",10.3,7.1,1.4,1.5,"Q" "Do Not Use Hot Water",1.1,0.6,"Q","Q","Q"

235

" Million U.S. Housing Units"  

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

6 Air Conditioning Characteristics by Type of Housing Unit, 2005" 6 Air Conditioning Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Air Conditioning Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Do Not Have Cooling Equipment",17.8,10.9,1.5,1.5,2.8,1.2 "Have Cooling Equipment",93.3,61.2,6.1,6.3,13.9,5.8 "Use Cooling Equipment",91.4,60.3,6,6.1,13.5,5.5 "Have Equipment But Do Not Use it",1.9,1,"Q",0.2,0.4,"Q"

236

" Million U.S. Housing Units"  

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

Housing Unit Characteristics by Climate Zone, 2005" Housing Unit Characteristics by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Housing Unit Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Census Region and Division" "Northeast",20.6,1.9,9.8,8.9,"N","N" "New England",5.5,1.3,4.1,"Q","N","N" "Middle Atlantic",15.1,"Q",5.7,8.8,"N","N"

237

" Million U.S. Housing Units"  

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

3 Household Characteristics by Type of Housing Unit, 2005" 3 Household Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Household Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Household Size" "1 Person",30,14.8,2.4,2.6,7.9,2.4 "2 Persons",34.8,24.8,2.1,2,4.2,1.7 "3 Persons",18.4,12.3,1.2,1.6,2.2,1.2 "4 Persons",15.9,11.1,1.2,0.9,1.6,1 "5 Persons",7.9,6.2,0.5,0.4,0.4,0.4 "6 or More Persons",4.1,2.9,0.2,0.3,0.4,0.3

238

" Million U.S. Housing Units"  

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

4 Space Heating Characteristics by Type of Housing Unit, 2005" 4 Space Heating Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Space Heating Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Do Not Have Space Heating Equipment",1.2,0.4,"Q","Q",0.4,"Q" "Have Main Space Heating Equipment",109.8,71.7,7.5,7.6,16.3,6.8 "Use Main Space Heating Equipment",109.1,71.5,7.4,7.4,16,6.7 "Have Equipment But Do Not Use It",0.8,"Q","Q","Q","Q","Q"

239

" Million U.S. Housing Units"  

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

2 Living Space Characteristics by Type of Housing Unit, 2005" 2 Living Space Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in Buildings With--" "Living Space Characteristics",,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,72.1,7.6,7.8,16.7,6.9 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,0.4,"Q",0.6,1.7,0.4 "500 to 999",23.8,4.8,1.4,4.2,10.2,3.2 "1,000 to 1,499",20.8,10.6,1.8,1.8,4,2.6 "1,500 to 1,999",15.4,12.4,1.5,0.5,0.5,0.4

240

" Million U.S. Housing Units"  

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

8 Water Heating Characteristics by Number of Household Members, 2005" 8 Water Heating Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Water Heating Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Number of Water Heaters" "1.",106.3,28.8,33.4,17.4,15.3,11.4 "2 or More",3.7,0.6,1.1,0.8,0.5,0.6 "Do Not Use Hot Water",1.1,0.6,0.3,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,25.3,31.8,16.6,14.6,11.3 "Two or More Housing Units",10.3,4.2,2.7,1.6,1.2,0.6

Note: This page contains sample records for the topic "housing characteristics 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

Consumption Technical Notes  

U.S. Energy Information Administration (EIA)

as street lighting and public services; and the Manufacturing Energy Consumption Survey covers only manufacturing establishments,

242

SLAC National Accelerator Laboratory - Lodging & Housing Information  

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

& Housing Information STANFORD GUEST HOUSE PHOTO: Stanford Guest House Front Facade This comfortable and convenient housing structure is located on SLAC's campus and is just a...

243

"Table HC11.8 Water Heating Characteristics by Northeast Census...  

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

8 Water Heating Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

244

Table A22. Total First Use (formerly Primary Consumption)...  

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

First Use (formerly Primary Consumption) of Combustible Energy for Nonfuel" " Purposes by Census Region, Census Division, and Economic Characteristics of the Establishment," 1994 "...

245

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

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

246

Total U.S. Housing Units.................................  

Gasoline and Diesel Fuel Update (EIA)

5.4 5.9 9.6 10.1 8.9 4.5 Housing Unit Characteristics Affecting Usage Adequacy of Insulation Well Insulated... 42.8 3.9 2.2 4.0 4.4 6.5...

247

" Million U.S. Housing Units"  

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

,54.7,33,4.2,4.2,9.9,3.4 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,29.8,2.3,2.8,6,1.9 "Adequately Insulated",46.3,29.9,3.6,2.8,7...

248

" Million U.S. Housing Units"  

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

5.4,5.9,9.6,10.1,8.9,4.5 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,3.9,2.2,4,4.4,6.5,7.4,8.8,5.7 "Adequately...

249

" Million U.S. Housing Units"  

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

.7,17.1,16.1,9.4,7.9,4.1 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,11.4,14.6,6.9,5.9,4 "Adequately Insulated",46.3,12.3,14.8,7.4...

250

Pet House Sparrow  

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

Pet House Sparrow Pet House Sparrow Name: mary Location: N/A Country: N/A Date: N/A Question: I found a Baby House Sparrow and raised it. This Sparrow is a female and is about 5 months old and very tame. We are keeping this bird as a pet. We are interested in possibly breeding this bird and was wondering if you can mix breed the House Sparrow with a Finch or type of Sparrow that you could purchase at a pet store? What is the life expectancy of the House Sparrow? Replies: In the wild most small birds only live a year or two; well cared for in captivity they might be able to make it twice that long, but don't count on it. There are some records of exceptional life lengths for some species of small birds, 8 or 10 years, but I haven't heard of any for house sparrows. I don't think you would be able to cross breed house sparrows with any of the others, but I couldn't say for sure. Hybridization normally occurs only between very closely related species; I don't know enough about genetics.

251

ORNL Guest House  

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

The ORNL Guest House is located in the Oak Ridge National Laboratory campus, within 5 minutes by car to any part of the campus, High Flux Isotope Reactor (HFIR), Conference Center and short walk to the Spallation Neutron Source (SNS). The Guest House is a three story, 47 room, 71 bed facility (23 rooms with king beds and 24 rooms with 2 ex-long double beds). All rooms have a flat screen satellite TV, mini fridge, microwave, coffeemaker, iron & ironing board, and hair dryer. The entire Guest House has high speed wireless internet access with printing capabilities. The ORNL Guest House is located in the Oak Ridge National Laboratory campus, within 5 minutes by car to any part of the campus, High Flux Isotope Reactor (HFIR), Conference Center and short walk to the Spallation Neutron Source (SNS). The Guest House is a three story, 47 room, 71 bed facility (23 rooms with king beds and 24 rooms with 2 ex-long double beds). All rooms have a flat screen satellite TV, mini fridge, microwave, coffeemaker, iron & ironing board, and hair dryer. The entire Guest House has high speed wireless internet access with printing capabilities. ORNL Guest House Oak Ridge National Laboratory Address - 8640 Nano Center Drive Oak Ridge, Tn 37830 Phone: 865-576-8101 Fax: 865-576-8102 Operated by Paragon Hotel Company This Convenient and Modern Facility Offers:

252

Fuel Consumption - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Energy Information Administration, Residential Energy Consumption Survey(RTECS), 1994 Fuel Consumption

253

Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

254

Development of a Calibration Methodology for Code-compliant Simulation of a Case Study House in a Hot and Humid Climate  

E-Print Network (OSTI)

This paper describes a comparison of the results between a code-compliant DOE-2 simulation and monthly utility bills for a case study house in College Station, Texas. The comparison of the results is a preliminary step toward the development of an automatic calibration methodology. In this study, simulated electricity and natural gas use of the case study house were obtained from a code-compliant DOE-2 simulation using house characteristics from the case study house and TMY2 weather data. Next, the Normalized Annual Consumption (NAC) was calculated from the simulated results using the ASHRAE Inverse Modeling Toolkit (IMT). Then, the NAC was also calculated for the monthly utility bills of the case study house, and the NAC results from simulation and monthly utility bills were compared. The DOE-2 simulation was then adjusted by changing the input variables. Several statistical verification methods are described, matching a goodness-of-fit indicator, percent difference calculation, Mean Bias Error (MBE), and the Coefficient of Variation of the Root Mean Squared Error (CV-RMSE) to evaluate the adequacy of the simulation calibrations.

Kim, K. H.; Haberl, J. S.

2010-08-01T23:59:59.000Z

255

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

real-time power consumption. More modern devices come withpower consumption of laptop with time, and the difference in startup power draw of both devices.devices are turned on at different times, their characteristic waveforms can be distinguished from the overall power consumption

Balaji, Bharathan

2011-01-01T23:59:59.000Z

256

Principles of Passive House  

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

Principles of Passive House Principles of Passive House Speaker(s): Wolfgang Feist Date: November 1, 2010 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Alan Meier The Passive House ("Passivhaus") concept is a rigorous, voluntary energy performance standard for buildings that reduces heating requirements by up to 90% and overall energy use by up to 80% over standard construction. Developed in Germany in the early 1990s and drawing on Super-insulated and Passive Solar ideas from North America and "Low Energy" European building standards, the concept of a building that could be practically constructed to maintain a comfortable interior climate without conventional heating or cooling systems was devised, tested and proven. The Passive House remains comfortable without large "active"

257

Hood River Passive House  

Science Conference Proceedings (OSTI)

The Hood River Passive Project was developed by Root Design Build of Hood River Oregon using the Passive House Planning Package (PHPP) to meet all of the requirements for certification under the European Passive House standards. The Passive House design approach has been gaining momentum among residential designers for custom homes and BEopt modeling indicates that these designs may actually exceed the goal of the U.S. Department of Energy's (DOE) Building America program to reduce home energy use by 30%-50% (compared to 2009 energy codes for new homes). This report documents the short term test results of the Shift House and compares the results of PHPP and BEopt modeling of the project.

Hales, D.

2013-03-01T23:59:59.000Z

258

" Million Housing Units, Final...  

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

the 2009 Poverty Guidelines for families published by the U.S. Department of Health and Human Services. 3Use of heating equipment for another housing unit also includes the use...

259

" Million Housing Units, Final...  

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

that do not contain a storage tank. The water is only heated as it passes through the heat exchanger. 3Use of a water heater for another housing unit also includes the use of...

260

" Million Housing Units, Final...  

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

that do not contain a storage tank. The water is only heated as it passes through the heat exchanger. 4Use of a water heater for another housing unit also includes the use of...

Note: This page contains sample records for the topic "housing characteristics 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

Indian Housing Training Conference  

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

This four-day conference will provide housing professionals with the tools to maintain good homes, build affordable homes, improve public safety, and provide essential building blocks to a healthy...

262

Bats in the House  

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

in the House Name: Michelle Location: NA Country: NA Date: NA Question: We are aware of having at least one and possibly more bats living in our attic. Recently (after they have...

263

Barn Swallow House  

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

Swallow House Name: Juli Location: NA Country: NA Date: NA Question: My father is building an "apartment" for barns and swallows to enjoy. He is wondering how large to drill the...

264

Jefferson Lab's Open House  

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

Currently, the date for Jefferson Lab's next Open House hasn't been announced. If you would like to be notified when a date has been set, you can subscribe to the Science Education...

265

Atrium House solar revitalization  

E-Print Network (OSTI)

The idea behind the Atrium House Solar Revitalization project, may be briefly presented as: energy conserving, low rise, high density, related- to- the-sky residences. The proposed system consists of a reticulate grid - ...

Malamuceanu, Dan Roland

1984-01-01T23:59:59.000Z

266

" Million Housing Units, Final...  

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

5 Appliances in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,"Below Poverty Line2" ,,"Less than...

267

" Million Housing Units, Final...  

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

3 Appliances in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950...

268

" Million Housing Units, Final...  

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

6 Appliances in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold","Mixed- Humid","Mixed-Dry"...

269

Shock absorbing battery housing  

SciTech Connect

A portable battery device is provided which dampens shock incident upon the battery device such that an electrical energizable apparatus connected to the battery device is subject to reduced shock whenever the battery device receives an impact. The battery device includes a battery housing of resilient shock absorbing material injection molded around an interconnecting structure which mechanically and electrically interconnects the battery housing to an electrically energizable apparatus.

McCartney, W.J.; Jacobs, J.D.; Keil, M.J.

1984-09-04T23:59:59.000Z

270

Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

U.S. Energy Information Administration (EIA)

Table CE1-4c. Total Energy Consumption in U.S. Households by Type of Housing Unit, 1997 ... where the end use is electric air-conditioning, ...

271

" Million Housing Units, Final"  

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

2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" 2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent","Own","Rent" "Total Homes",113.6,76.5,37.1,63.2,8.6,3.9,2.8,1.5,7.6,2.3,16.8,5.5,1.4

272

UK Energy Consumption by Sector The energy consumption data consists...  

Open Energy Info (EERE)

Consumption by Sector The energy consumption data consists of five spreadsheets:"overall data tables"plusenergy consumption data for each of the following...

273

Research on Building Energy Consumption Situation in Shanghai  

E-Print Network (OSTI)

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

Yang, X.; Tan, H.

2006-01-01T23:59:59.000Z

274

Connected Consumption: The hidden networks of consumption  

E-Print Network (OSTI)

In this paper, we present the Connected Consumption Network (CCN) that allows a community of consumers to collaboratively sense the market from a mobile device, enabling more informed financial decisions in geo-local ...

Reed, David P.

275

" Million Housing Units, Final"  

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

0 Structural and Geographic Characteristics of Homes in South Region, Divisions, and States, 2009" 0 Structural and Geographic Characteristics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" "Structural and Geographic Characteristics",,"Total South",,,,,"DC, DE, MD, WV",,,,"AL, KY, MS",,,"AR, LA, OK" ,,,,"VA","GA","FL",,"NC, SC",,"TN",,,"TX"

276

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

E-Print Network (OSTI)

alternative furnaces used in each house required derivation of the heating and coolingalternative efficiency levels and design options to meet the same heating and coolingand cooling loads of each sample house are known, it is possible to estimate what the energy consumption of alternative (

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

2004-01-01T23:59:59.000Z

277

Modelling domestic energy consumption at district scale: A tool to support national and local energy policies  

Science Conference Proceedings (OSTI)

This paper presents the development, evaluation and application of the Domestic Energy and Carbon Model (DECM) for predicting the energy consumptions and carbon dioxide emissions of the existing English housing stock. A novel feature of DECM is the adoption ... Keywords: Domestic energy model, Dwelling carbon emission, Housing stock model, Local energy policy

Vicky Cheng; Koen Steemers

2011-10-01T23:59:59.000Z

278

US SoAtl GA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

279

US SoAtl GA Site Consumption  

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

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

280

CSV File Documentation: Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion factors: the CSV file contains all of the conversion factors used to convert data between physical units and Btu for all states and the United States, and the Excel file shows the state-level conversion factors for coal and natural gas in six Excel spreadsheets. Zip files are also available for the large data files. In addition, there is a CSV file for each state, named

Note: This page contains sample records for the topic "housing characteristics 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

Argonne Open House 2009  

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

Argonne Open Argonne Open House 2009 Welcome Organization Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Argonne Open House 2009 Bookmark and Share THANK YOU! The Nuclear Engineering Division thanks all participants which contributed to make a success of the Open House event. Argonne opened its gates to the community on Saturday, August 29, from 9am to 4:30pm. NE actively participated in this event with activities inside and outside Building 208, the home of the Nuclear Engineering Division. Inside building 208 KEYWORDS: Nuclear Engineering; National Security; Environment, Safety and Health

282

Cooling Energy Measurements of Houses with Attics Containing Radiant Barriers  

E-Print Network (OSTI)

Tests were conducted by Oak Ridge National Laboratory (ORNL) to determine the magnitude of the energy savings brought about by installing radiant barriers in the attics of single-family houses. The radiant barrier used for this test was a product with two reflective aluminum surfaces on a kraft paper base. The radiant barrier has the potential to reduce the radiant heat transfer component impinging on the fiberglass attic insulation. Working as a system in conjunction with an air space, the radiant barrier could theoretically block up to 95% of far-infrared radiation heat transfer. The experiment was conducted in three unoccupied research houses that are operated by ORNL. One house was used as the control house (no barrier was installed), while the other two were used to test the two different methods for installing the radiant barriers. In one house, the barrier was laid on top of the attic fiberglass batt insulation, and in the other house, the barrier was attached to the underside of the roof trusses. The attics of all three houses were insulated with kraft paper faced nominal R-19 fiberglass batt insulation. The results showed a savings in the cooling loads of 21% when the radiant barrier was laid on top of the attic fiberglass insulation and 13% with the radiant barrier attached to the underside of the roof trusses. The savings in electrical consumption was 17% and 9%, respectively. The electrical consumption data and the cooling load data indicated that the most effective way of installing the foil was to lay it on top of the fiberglass batt insulation. The radiant barriers reduced the measured peak ceiling heat fluxes by 39% for the case where the barrier was laid on top of the attic fiberglass insulation. The radiant barrier reduced the integrated heat flows from the attic to house by approximately 30-35% over a 7-day time period.

Levins, W. P.; Karnitz, M. A.; Knight, D. K.

1986-01-01T23:59:59.000Z

283

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.

284

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

285

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

286

House, home, and community : good models for graduate student housing  

E-Print Network (OSTI)

This thesis explores the planning and design of on-campus housing for graduate students in urban context. This study reviews the prevailing models of on-campus housing nationally and discusses the new concepts of future ...

Han, Jienan, 1978-

2004-01-01T23:59:59.000Z

287

consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago) Date Updated Unknown Keywords coal consumption csp factors geothermal PV renewable energy technologies Water wind withdrawal Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Operational water consumption and withdrawal factors for electricity generating technologies (xlsx, 32.3 KiB)

288

Sod House Furnishings  

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

House Furnishings House Furnishings Nature Bulletin No. 666 February 10, 1962 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation SOD HOUSE FURNISHINGS Last year, after we issued Bulletin No. 620-A about the sod houses built by early settlers on the Great Plains, there were numerous requests for this one about the furnishings in those unique dwellings. If they seem meager and inadequate, bear in mind that, with rare exceptions, the pioneers were so poor that some had nothing but iron determination and courage. After the Civil War, ex-soldiers from both armies "pulled up stakes and lit out" for Nebraska, Kansas, or Texas. Under the Homestead Act of 1862, anyone who had not been a Rebel could "file" on and obtain, free, a quarter-section (160 acres) of "government land" -- public domain -- and, by paying $200, claim and pre-empt another. There were no restrictions on purchases from land companies, nor from the railroads that had been granted millions of acres.

289

Performance evaluation of the Balcomb solar house  

DOE Green Energy (OSTI)

Additional instrumentation was added to the Balcomb solar house for a six-week period and up to 85 channels were recorded hourly. Some new findings based on an evaluation of these data are presented. (1) The thermal comfort characteristics of four rooms are documented. (2) Relative humidity in the living room varies from 30 to 50%; these data are used to infer an evaporation rate in the house of about 25 kg of water/day. The evaporation rate correlates reasonably well with greenhouse temperature. (3) Heat storage in the greenhouse floor is estimated at about 0.30 kWh/day-m/sup 2/ based on temperatures measured at four depths. (4) Several thermal characteristics of the rock bed are deduced but it is evident that the heat flow is not yet completely understood.

Balcomb, J.D.; Hedstrom, J.C.; Perry, J.E. Jr.

1980-01-01T23:59:59.000Z

290

Important notice about using /house  

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

Important notice about using house Important notice about using house July 6, 2012 (0 Comments) Description There have been a lot of issues recently with NFS hangs on the gpint...

291

The Future of Housing - TMS  

Science Conference Proceedings (OSTI)

May 20, 2008 ... From climate change to power deregulation and suburban sprawl to the rapid ... This presentation speaks directly to our future housing needs and ... using the 2007 Carnegie Mellon Solar Decathlon house as a case study.

292

Integrating preference analysis and balanced scorecard to product planning house of quality  

Science Conference Proceedings (OSTI)

Product planning house of quality (PPHOQ) is of fundamental and strategic importance in quality function deployment (QFD). Determining the aggregated priority ratings (PRs) of engineering characteristics (ECs) is a crucial step of constructing PPHOQ. ... Keywords: Balanced scorecard, Engineering characteristic, Priority rating, Product planning house of quality, Quality function deployment

Yan-Lai Li; Min Huang; Kwai-Sang Chin; Xing-Gang Luo; Yi Han

2011-03-01T23:59:59.000Z

293

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.

294

Housing in the Gaithersburg Area  

Science Conference Proceedings (OSTI)

... NIST and Metro. http://www.higaithersburg.com/ Hyatt House Gaithersburg - 200 Skidmore Blvd. Gaithersburg, MD 20877 ...

295

" Million U.S. Housing Units"  

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

3 Household Characteristics by Number of Household Members, 2005" 3 Household Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Household Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Household Size" "1 Person",30,30,"N","N","N","N" "2 Persons",34.8,"N",34.8,"N","N","N" "3 Persons",18.4,"N","N",18.4,"N","N" "4 Persons",15.9,"N","N","N",15.9,"N"

296

Passive retrofits for Navy housing  

DOE Green Energy (OSTI)

A project to assess and initiate passive solar energy retrofits to US Navy family housing is described. The current data base for Navy housing (ECOP), and its enhancement for passive solar purposes options proposed for Navy housing are explained. The analysis goals and methods to evaluate the retrofits are discussed. An educational package to explain the retrofits is described.

Hibbert, R.; Miles, C.; Jones, R.; Peck, C.; Anderson, J.; Jacobson, V.; Dale, A.M.

1985-01-01T23:59:59.000Z

297

White_House_0921.pdf | Department of Energy  

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

WhiteHouse0921.pdf WhiteHouse0921.pdf WhiteHouse0921.pdf More Documents & Publications THE WHITE HOUSE THE WHITE HOUSE WhiteHouseeconomicrpt021...

298

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

E-Print Network (OSTI)

Analysis: Studies in Residential Energy Demand. AcademicHousing Characteristics 1987, Residential Energy ConsumptionHousing Characteristics 1990, Residential Energy Consumption

Johnson, F.X.

2010-01-01T23:59:59.000Z

299

Non-Space Heating Electrical Consumption in Manufactured Homes: Residential Construction Demonstration Project Cycle II : Final Report.  

SciTech Connect

This report summarizes submeter data of the non-space heating electrical energy use in a sample of manufactured homes. These homes were built to Super Good Cents insulation standards in 1988 and 1989 under the auspices of RCDP Cycle 2 of the Bonneville Power Administration. They were designed to incorporate innovations in insulation and manufacturing techniques developed to encourage energy conservation in this important housing type. Domestic water heating (DWH) and other non-space heat energy consumption, however, were not generally affected by RCDP specifications. The purpose of this study is to establish a baseline for energy conservation in these areas and to present a method for estimating total energy saving benefits associated with these end uses. The information used in this summary was drawn from occupant-read submeters and manufacturersupplied specifications of building shell components, appliances and water heaters. Information was also drawn from a field review of ventilation systems and building characteristics. The occupant survey included a census of appliances and occupant behavior in these manufactured homes. A total of 150 manufactured homes were built under this program by eight manufacturers. An additional 35 homes were recruited as a control group. Of the original 185 houses, approximately 150 had some usable submeter data for domestic hot water and 126 had usable submeter data for all other nonheating consumption. These samples were used as the basis for all consumption analysis. The energy use characteristics of these manufactured homes were compared with that of a similar sample of RCDP site-built homes. In general, the manufactured homes were somewhat smaller and had fewer occupants than the site-built homes. The degree to which seasonal variations were present in non-space heat uses was reviewed.

Onisko, Stephen A.; Roos, Carolyn; Baylon, David

1993-06-01T23:59:59.000Z

300

Fermilab Family Open House  

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

Sunday, February 9, 2014 Sunday, February 9, 2014 1:00–5:00 PM Directions to Fermilab This is a party for children who bring an adult with them to learn about the world of physics. (There's plenty for the grown-ups, too.) Events include: Watch Mr. Freeze's fabulous cryogenics show Explore physics concepts with hands-on activities Ask a scientist your physics questions. Take a tour! And more! The Open House is most appropriate for children in grades 3 and up. The event is free. Register only if you wish to go on a tour (minimum age 10). Otherwise, you do not have to register. You should pick up the tickets for the tours in the atrium on the day of the event. Tickets not picked up at least 10 minutes before a tour starts will be released. The Open House is co-supported by Fermilab Friends for Science Education and the Education Office.

Note: This page contains sample records for the topic "housing characteristics 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

Household vehicles energy consumption 1994  

SciTech Connect

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

302

" Million U.S. Housing Units"  

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

3 Lighting Usage Indicators by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ,"Housing Units (millions)","Single-Family Units",,"Apartments in...

303

Measured data on energy consumption in single family detached homes across the US  

Science Conference Proceedings (OSTI)

The Community Services Administration (CSA) sponsored, with the technical assistance of the National Bureau of Standards (NBS), a national demonstration on energy conservation. Two hundred and twenty houses were selected in 14 cities across the country to be weatherized and evaluated. Infiltration rates, mechanical efficiencies, building dimensions, solar data and energy consumption data before and after weatherization were collected on each of these houses. The before weatherization data on 33 houses at Charleston, SC, Colorado Springs, CO, and Fargo, ND, are presented. Modified steady-state heat balance calculations which include solar data are also compared to the utility data of each of these houses.

Crenshaw, R.W.

1980-01-01T23:59:59.000Z

304

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

SciTech Connect

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

Clark, Y.Y.; Vincent, W.

1987-06-01T23:59:59.000Z

305

Flying Squirrels and Houses  

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

Flying Squirrels and Houses Flying Squirrels and Houses Name: Kathy Location: N/A Country: N/A Date: N/A Question: How do you get rid of flying squirrels in the attic of a Cape style home that has limited access to the attic? There is blown in insulation so we cannot see to the end of the house where we hear them, nor can a person crawl in to see anything. We have used d-con bars, mouse traps and have-a-heart traps in the crawl spaces we can reach, but have caught nothing. Replies: Place a statue of an owl near the entrance the squirrels are using. Owls are their motal enemies and this technique works for birds as well. Steve Sample You will not be able to solve this problem until you find the way they go in and out. Usually the easiest way is to look for light coming in from outside while in the dark attic, but if you can't see it that way do a thorough search of the outside. A flying squirrel does not need a very big hole, maybe 2" or less diameter. They go out at night so once you find the hole close it up at night while they are out. Good luck.

306

Housing Diversity and Consolidation in Low-Income Colonias: Patterns of House Form and Household Arrangements in Colonias of the US-Mexico Border  

E-Print Network (OSTI)

Colonias are low-income settlements on the US-Mexico border characterized by poor infrastructure, minimum services, and an active housing construction with a high self-help and self-management component. Housing in colonias is very diverse showing house forms that include temporary and permanent structures, campers, trailers or manufactured houses and conventional homes. Most of this housing does not meet construction standards and codes and is considered substandard. Colonias households are also of diverse nature and composition including single households, nuclear and extended families, as well as multiple households sharing lots. This wide variety of house forms and households in colonias fits poorly within the nuclear household, single family detached housing idealized by conventional low-income housing projects, programs and policies. As a result, colonias marginally benefit from the resources available to them and continue to depend mostly on the individual efforts of their inhabitants. This research identifies the housing diversity and the process of housing consolidation in colonias of the US-Mexico border by looking at the patterns of house form and household arrangements in colonias of South Texas. Ten colonias located to the east of the city of Laredo along Highway 359 in Webb County, Texas were selected based on their characteristics, data availability and accessibility. Data collected included periodic aerial images of the colonias spanning a period of 28 years, household information from the 2000 census disaggregated at the block level for these colonias, and information from a field survey and a semi structured interview made to a random sample of 123 households between February and June 2007. The survey collected information about house form and household characteristics. The survey also incorporated descriptive accounts on how households completed their house from the initial structure built or set on the lot until the current house form. Data was compiled and analyzed using simple statistical methods looking for identifiable patterns on house form and household characteristics and changes over time. Findings showed that housing in colonias is built and consolidated following identifiable patterns of successive changes to the house form. Findings also showed that households in colonias share characteristics that change over time in similar ways. These results suggest similarities of colonias with extra-legal settlements in other developing areas. Based on these findings, the study reflects on possible considerations that could improve the impact of projects, programs and policies directed to support colonias and improve colonias housing.

Reimers-Arias, Carlos Alberto

2009-08-01T23:59:59.000Z

307

Energy Efficiency Standards for Manufactured Housing | Building...  

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

Regulations Determinations Federal Buildings Manufactured Housing Resource Center Energy Efficiency Standards for Manufactured Housing Section 413 of the Energy...

308

Before the House Transportation and Infrastructure Subcommittee...  

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

the House Transportation and Infrastructure Subcommittee on Economic Development, Public Buildings, and Emergency Management Before the House Transportation and Infrastructure...

309

OpenEI - consumption  

Open Energy Info (EERE)

91/0 en Operational water 91/0 en Operational water consumption and withdrawal factors for electricity generating technologies http://en.openei.org/datasets/node/969 This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions.

License

310

Energy-consumption modelling  

SciTech Connect

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

Reiter, E.R.

1980-01-01T23:59:59.000Z

311

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

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

2 Average Square Footage of South Homes, by Housing Characteristics, 2009" 2 Average Square Footage of South Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total South",42.1,1867,1637,1549,732,642,607 "South Divisions and States" "South Atlantic",22.2,1944,1687,1596,771,668,633 "Virginia",3,2227,1977,1802,855,759,692 "Georgia",3.5,2304,1983,1906,855,736,707 "Florida",7,1668,1432,1509,690,593,625 "DC, DE, MD, WV",3.4,2218,1831,1440,864,713,561

312

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

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

4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" 4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Single-Family",78.6,2422,2002,1522,880,727,553 "Census Region" "Northeast",12.7,2843,2150,1237,1009,763,439 "Midwest",19.2,2721,2249,1664,1019,842,624 "South",29.7,2232,1945,1843,828,722,684 "West",16.9,2100,1712,1009,725,591,348 "Urban and Rural3"

313

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

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

0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" 0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Northeast",20.8,2121,1663,921,836,656,363 "Northeast Divisions and States" "New England",5.5,2232,1680,625,903,680,253 "Massachusetts",2.5,2076,1556,676,850,637,277 "CT, ME, NH, RI, VT",3,2360,1781,583,946,714,234 "Mid-Atlantic",15.3,2080,1657,1028,813,647,402

314

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

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

6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" 6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Mobile Homes",6.9,1087,985,746,413,375,283 "Census Region" "Northeast",0.5,1030,968,711,524,492,362 "Midwest",1.1,1090,1069,595,400,392,218 "South",3.9,1128,1008,894,423,378,335 "West",1.4,995,867,466,369,322,173 "Urban and Rural3" "Urban",3.5,1002,919,684,396,364,271

315

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

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

9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" 9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total",113.6,1971,1644,1230,766,639,478 "Census Region" "Northeast",20.8,2121,1663,921,836,656,363 "Midwest",25.9,2272,1898,1372,912,762,551 "South",42.1,1867,1637,1549,732,642,607 "West",24.8,1708,1374,800,628,506,294 "Urban and Rural3" "Urban",88.1,1857,1546,1148,728,607,450

316

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

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

5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" 5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Multi-Family",28.1,930,807,535,453,393,261 "Census Region" "Northeast",7.6,991,897,408,471,426,194 "Midwest",5.6,957,857,518,521,466,282 "South",8.4,924,846,819,462,423,410 "West",6.5,843,606,329,374,269,146 "Urban and Rural3" "Urban",26.9,927,803,531,450,390,258

317

Saskatchewan House: 100 percent solar in a severe climate  

SciTech Connect

The Saskatchewan Conservation House in Regina, Canada, receives 100% of its heating primarily from passive heat gain. The house incorporates insulation levels three-fold the current Canadian standard, caulked and sealed vapor barriers with an air-to-air heat exchanger utilizing plastic sheeting, south facing windows, a waste water heat exchanger for laundry and bath water, and an active system of 192 ft/sup 2/ of vacuum tube collectors with 2,800 gal water storage. Insulated shutters are used on all the windows. Problems have developed with controls for the active heating system which was designed to supply 100% of the space heating. Infiltration was measured at 5% air change/hr. The heat storage capacity, energy consumption, performance estimates, and system components of the house are reported in detail.

Besant, R.W., Dumont, R.S., Schoenau, G.

1979-05-01T23:59:59.000Z

318

Measured Natural Cooling Enhancement of a While House Fan  

E-Print Network (OSTI)

An experimental study was carried out in the summer of 1991 to investigate the natural cooling potential of use of a whole house fan in Central Florida's hot and humid climate. The residential building, in Cocoa Beach, FL, is typical of much of the existing housing stock in Florida: a concrete block structure with R-11 ceiling insulation. The building was ventilated with all windows open during the three month summer test period (June- August). Air temperatures and relative humidity inside the home interior along with exterior meteorological conditions (insolation, wind speed, air temperature, relative humidity) were scanned every five seconds with integrated averages recorded on a multi-channel data logger every 15- minutes. The house was naturally ventilated during the first half of summer. After a significant period of pre-retrofit summer data had been collected characterizing the building's thermal response, a 24" whole house fan was installed. The house was then force ventilated during evening hours for the remainder of the summer to establish potential of whole-house fans to improve interior comfort conditions. The electrical consumption of the fan was measured at both available fan speeds. Measurements revealed that the building interior was 3 - 6F cooler during the evening hours after the whole house fan was operated. However, data also showed that nighttime humidity levels rose: relative humidity increased from 74% to 83% during the nighttime period where fan-powered ventilation was used. Using the data results, an analysis was performed using Orlando, Florida TMY data to see how limits to whole house ventilation based on humidity and temperature conditions would affect the potential of such a cooling strategy.

Parker, D. S.

1994-01-01T23:59:59.000Z

319

Residential energy consumption: An analysis-of-variance study  

SciTech Connect

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

320

Towards new widgets to reduce PC power consumption  

Science Conference Proceedings (OSTI)

We present a study which describes the power consumption characteristics of a number of different interaction techniques on a desktop and laptop computer. In total, 8 interactions that can be used to carry out a single task (navigating a PDF document) ... Keywords: power consumption, widgets

Ross McLachlan; Stephen Brewster

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

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

322

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

323

Manufacturing Consumption of Energy 1991  

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

J Related EIA Publications on Energy Consumption Energy Information AdministrationManufacturing Consumption of Energy 1991 526 Appendix J Related EIA Publications on Energy...

324

Manufacturing Consumption of Energy 1991  

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

3. Energy Consumption in the Manufacturing Sector, 1991 In 1991, the amount of energy consumed in the manufacturing sector was as follows: * Primary Consumption of Energy for All...

325

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

Information Center

2008-09-01T23:59:59.000Z

326

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...

327

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

328

"Table A15. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

Selected Energy Operating Ratios for Total Energy Consumption for" Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of Value","as a Percent","as a Percent","RSE" " ","per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Economic Characteristics(a)","(million Btu)","(thousand Btu)","(thousand Btu)","(percent)","(percent)","Factors"

329

"Table A51. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

1. Selected Energy Operating Ratios for Total Energy Consumption for" 1. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991 " ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percent)","(percent)","Factors"

330

"Table A50. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

0. Selected Energy Operating Ratios for Total Energy Consumption for" 0. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Economic Characteristics of the" " Establishment, 1991 (Continued)" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent of","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(Percent)","(percent)","Factors"

331

Table HC14.8 Water Heating Characteristics by West Census Region ...  

U.S. Energy Information Administration (EIA)

Table HC14.8 Water Heating Characteristics by West Census Region, 2005 Million U.S. Housing Units Water Heating Characteristics Mountain Pacific West Census Region

332

Multifamily housing resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

333

NCNR Summer School Housing Information  

Science Conference Proceedings (OSTI)

... 2010 NCNR/NSF Summer School Housing Information. Registration for the Summer School will be on May 9th, 2010 from 4-7 pm. ...

334

NCNR Summer School Housing Information  

Science Conference Proceedings (OSTI)

... 2008 NCNR/NSF Summer School Housing Information. Registration for the Summer School will be on June 22nd, 2008 from 4-7 pm. ...

335

NCNR Summer School Housing Information  

Science Conference Proceedings (OSTI)

... CHRNS Logo. Last modified 13-April-2011 by website owner: NCNR (attn: Jeff Krzywon). 2011 NCNR/NSF Summer School Housing Information. ...

336

Total..........................................................  

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

337

Elements of consumption: an abstract visualization of household consumption  

Science Conference Proceedings (OSTI)

To promote sustainability consumers must be informed about their consumption behaviours. Ambient displays can be used as an eco-feedback technology to convey household consumption information. Elements of Consumption (EoC) demonstrates this by visualizing ... Keywords: a-life, eco-feedback, household consumption, sustainability

Stephen Makonin; Philippe Pasquier; Lyn Bartram

2011-07-01T23:59:59.000Z

338

Military housing foam application and analysis  

SciTech Connect

Sandia and Forest City have established a Cooperative Research and Development Agreement (CRADA), the partnership provides a unique opportunity to take technology research and development from demonstration to application in sustainable communities. This project consists of two activities conducted in Hawaii that focus on performance, integration and application of energy saving technologies. Hawaii has many energy challenges, making this location an excellent testbed for these activities. Under this project, spray foam technology was applied at military housing on Oahu and the consumption data collected. A cost benefit and operational analysis of the foam was completed. The second phase of this project included design, integration, and analysis of photovoltaic systems at a military community on Oahu. This phase of the project was conducted as part of Forest City's second Solar America Showcase Award.

Torres, J. J.

2012-03-01T23:59:59.000Z

339

Performance Evaluation of Energy Consumption in MANETs  

E-Print Network (OSTI)

The mobility of nodes in MANET may result in dynamic topology with high rate of link breakage and network partitions leading to interruption in communication and packet loss. Many routing protocols have been proposed in the literature with different characteristics and properties. The routing protocols suffer from various overheads causing energy loss which is further aggravated by link breaks. The present work concentrate on the energy consumption issues of routing protocols. We have evaluated the performance of DSDV, DSR and AODV routing protocols with respect to energy consumption indicating their usage of nodes energy.

Ashish Kumar; M. Q. Rafiq; Kamal Bansal

2012-01-01T23:59:59.000Z

340

" Million Housing Units, Final"  

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

9 Structural and Geographic Characteristics of Homes in Midwest Region, Divisions, and States, 2009" 9 Structural and Geographic Characteristics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD" ,,,,"IL","MI","WI",,,"MO",,"KS, NE" "Total Homes",113.6,25.9,17.9,4.8,3.8,2.3,7,8.1,2.3,3.9,1.8 "Urban and Rural2" "Urban",88.1,19.9,14.6,4.1,2.9,1.8,5.8,5.3,1.6,2.4,1.4

Note: This page contains sample records for the topic "housing characteristics 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

" Million Housing Units, Final"  

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

7 Structural and Geographic Characteristics of U.S. Homes, by Census Region, 2009" 7 Structural and Geographic Characteristics of U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Northeast","Midwest","South","West" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Urban and Rural2" "Urban",88.1,18,19.9,28.6,21.5 "Rural",25.5,2.8,6,13.4,3.3 "Metropolitan and Micropolitan" "Statistical Area" "In metropolitan statistical area",94,18.6,19.4,33.4,22.7 "In micropolitan statistical area",12.4,1.5,4.7,4.7,1.5 "Not in metropolitan or micropolitan"

342

" Million Housing Units, Final"  

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

1 Structural and Geographic Characteristics of Homes in West Region, Divisions, and States, 2009" 1 Structural and Geographic Characteristics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" "Structural and Geographic Characteristics",,"Total West","Total Mountain",,,"ID, MT, UT, WY",,,,"Total Pacific",,"AK, HI, OR, WA" ,,,,,"CO",,,"AZ","NM, NV",,"CA" "Total Homes",113.6,24.8,7.9,3.9,1.9,2,4,2.3,1.7,16.9,12.2,4.7

343

" Million Housing Units, Final"  

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

4 Structural and Geographic Characteristics of U.S. Homes, by Number of Household Members, 2009" 4 Structural and Geographic Characteristics of U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,,,,,"5 or More Members" ,,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Census Region and Division" "Northeast",20.8,6,6.3,3.3,3.1,2.1 "New England",5.5,1.5,1.8,1,0.7,0.5 "Middle Atlantic",15.3,4.5,4.5,2.3,2.4,1.6 "Midwest",25.9,7.4,8.5,3.9,3.5,2.6 "East North Central",17.9,5.1,5.6,2.7,2.5,1.9

344

" Million Housing Units, Final"  

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

8 Structural and Geographic Characteristics of Homes in Northeast Region, Divisions, and States, 2009" 8 Structural and Geographic Characteristics of Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" "Structural and Geographic Characteristics",,"Total Northeast",,,"CT, ME, NH, RI, VT" ,,,,"MA",,,"NY","PA","NJ" "Total Homes",113.6,20.8,5.5,2.5,3,15.3,7.2,4.9,3.2 "Urban and Rural2" "Urban",88.1,18,4.4,2.2,2.2,13.6,6.6,3.9,3.1 "Rural",25.5,2.8,1.1,0.3,0.8,1.7,0.6,1,"Q"

345

Terrace housing : providing quality in higher-density housing  

E-Print Network (OSTI)

The higher demand of higher-density housing in Bangkok due to the rapid growth of the economy and the use of high-performance materials and modern construction methods has changed the forms of housing from low-rise buildings ...

Atthakor, Songpol

1992-01-01T23:59:59.000Z

346

" Million U.S. Housing Units"  

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

Housing Unit Characteristics by Year of Construction, 2005" Housing Unit Characteristics by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2005" "Housing Unit Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Census Region and Division" "Northeast",20.6,5.6,1.8,3.3,2.4,2.7,2.3,1.5,0.9 "New England",5.5,1.9,0.4,0.7,0.6,0.6,0.6,0.4,0.3 "Middle Atlantic",15.1,3.8,1.4,2.6,1.9,2.1,1.7,1.1,0.6 "Midwest",25.6,4.1,2.3,3.2,3.2,4,2.8,4.1,1.8

347

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

348

Greenbuilt Retrofit Test House Final Report  

SciTech Connect

The Greenbuilt house, is an all-electric, 1980's era home in the eastern Sacramento suburb of Fair Oaks that was retrofit by Greenbuilt Construction as part of Sacramento Municipal Utility District's (SMUD) Energy Efficient Remodel Demonstration (EERD) Program. The project was a joint effort between the design-build team at Greenbuilt Construction, led by Jim Bayless, SMUD and their project manager Mike Keesee, and the National Renewable Energy Laboratory (NREL). The goal of the Energy Efficient Remodel Demonstration program is to work with local builders to renovate homes with cost-effective energy efficient retrofit measures. The homes remodeled under the EERD program are intended to showcase energy efficient retrofit options for homeowners and other builders. The Greenbuilt house is one of five EERD projects that NREL has supported. NREL's main role in these projects is to provide energy analysis and to monitor the home's performance after the retrofit to verify that the energy consumption is in line with the modeling predictions. NREL also performed detailed monitoring on the more innovative equipment included in these remodels, such as an add-on heat pump water heater.

Sparn, B.; Hudon, K.; Earle, L.; Booten, C.; Tabares-Velasco, P. C.; Barker, G.; Hancock, C. E.

2012-10-01T23:59:59.000Z

349

THE WHITE HOUSE  

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

WASHINGTON August 29, 1994 MEMORANDUM FOR CABINET MEMBER AND FULL-TIME EXECUTIVE BRANCH PRESIDENTIAL APPOINTEES FROM: LLOYD N. CUTLER SPECIAL COUNSEL TO THE PRESIDENT SUBJECT: Use of Company Aircraft and Accommodations As Presidential appointees, the actions we take reflect directly upon this Administration and on the President. We must therefore adhere strictly to the Standards of Ethical Conduct for Employees of the Executive Branch (Standards), 5. C.F.R. Part 2635. In addition, we must meet the even higher standard of avoiding conduct, however lawful, that public opinion regards as inappropriate for a Presidential appointee. In this spirit, the White House Chief of Staff has directed me to issue the following policy on the use, by Cabinet members and other full-time Executive Branch Presidential

350

Amtrak fuel consumption study  

Science Conference Proceedings (OSTI)

This report documents a study of fuel consumption on National Railroad Passenger Corporation (Amtrak) trains and is part of an effort to determine effective ways of conserving fuel on the Amtrak system. The study was performed by the Transportation Systems Center (TSC). A series of 26 test runs were conducted on Amtrak trains operating between Boston, Massachusetts, and New Haven, Connecticut, to measure fuel consumption, trip time and other fuel-use-related parameters. The test data were analyzed and compared with results of the TSC Train Performance Simulator replicating the same operations.

Hitz, J.

1981-02-01T23:59:59.000Z

351

Toward Net Energy Buildings: Design, Construction, and Performance of the Grand Canyon House  

DOE Green Energy (OSTI)

The Grand Canyon house is a joint project of the DOE's National Renewable Energy Laboratory and the U.S. National Park Service and is part of the International Energy Agency Solar Heating and Cooling Programme Task 13 (Advanced Solar Low-Energy Buildings). Energy consumption of the house, designed using a whole-building low-energy approach, was reduced by 75% compared to an equivalent house built in accordance with American Building Officials Model Energy Code and the Home Energy Rating System criteria.

Balcomb, J. D.; Hancock, C. E.; Barker, G.

1999-06-23T23:59:59.000Z

352

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

E-Print Network (OSTI)

in household and per capita consumption of energy and water, and also at food, beverages, and tobacco, products invites several questions: Did per capita energy use increase from 1949 to 1973 due to bigger houses US primary energy consumption from 1949 to 2001 (Figure 1). In 1949, U.S. energy use per person stood

Diamond, Richard

353

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

354

Household vehicles energy consumption 1991  

Science Conference Proceedings (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

355

The European Passive House Concept  

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

The European Passive House Concept The European Passive House Concept Speaker(s): Nabih Tahan Date: January 13, 2009 - 12:00pm Location: 90-3122 Nabih will describe the European Passive House concept and modern, home manufacturing methods in Austria. The Passive House is a European standard for a specific way to build a house that consumes very little energy, is comfortable and has a high indoor air quality. It is a cost effective method of building, where conventional heating systems are eliminated, and their cost is reinvested in super insulation, super air-tightness and heat recovery. Free heat generated from electrical and gas appliances and lighting is recycled through the heat recovery ventilator. This results in buildings that consume 80% to 90% less heating energy while constantly

356

House Report 108-576, FY 2005 House Report for Commerce ...  

Science Conference Proceedings (OSTI)

Taken from House Report 108-576, FY 2005 House Report for Commerce, Justice, and State Appropriations bill. SCIENTIFIC ...

2010-10-05T23:59:59.000Z

357

White House Mission Requests Memorandum | Department of Energy  

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

White House Mission Requests Memorandum White House Mission Requests Memorandum White House Mission Requests Memorandum More Documents & Publications THE WHITE HOUSE THE WHITE...

358

Reduced power consumption in  

E-Print Network (OSTI)

and a potential energy savings of over $30 Billion/year. This new approach is demanded by the exponentiallyBenefits Reduced power consumption in IC devices; hence potential energy savings of 300 Billion KWh://www.sia- online.org) CuRIE Interconnect Technology for Improved Energy Efficiency in IC Chips ARPA-E Technology

359

& CONSUMPTION US HYDROPOWER PRODUCTION  

E-Print Network (OSTI)

12% of the nation's electricity. Hydropower produces more than 90,000 megawatts of electricity, which is enough to meet the needs of 28.3 million consumers. Hydropower accounts for over 90% of all electricity the NAO. ENERGY CONSUMPTION AND PRODUCTION IN NORWAY AND THE NAO The demand for heating oil in Norway

360

Reduction of Water Consumption  

E-Print Network (OSTI)

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

Adler, J.

1985-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

Crisis and Consumption Smoothing  

Science Conference Proceedings (OSTI)

The dramatic impact of the current crisis on performance of businesses across sectors and economies has been headlining the business press for the past several months. Extant reconciliations of these patterns in the popular press rely on ad hoc reasoning. ... Keywords: consumer behavior, consumption smoothing, crisis, econometrics, marketing strategy

Pushan Dutt; V. Padmanabhan

2011-05-01T23:59:59.000Z

362

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

363

Demonstrating Modernism: Richard Neutra's Early Model Houses  

E-Print Network (OSTI)

88 Richard Neutra, Plywood Demonstration House, Los Angeles,Thomas Hines, Neutras All-Plywood House: A Design for anFigure 32. Richard Neutra, Plywood Demonstration House, Los

Peltakian, Danielle

2012-01-01T23:59:59.000Z

364

Million U.S. Housing Units Total...............................  

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

Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions)...

365

Building Technologies Office: Housing Innovation Awards  

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

Housing Innovation Housing Innovation Awards to someone by E-mail Share Building Technologies Office: Housing Innovation Awards on Facebook Tweet about Building Technologies Office: Housing Innovation Awards on Twitter Bookmark Building Technologies Office: Housing Innovation Awards on Google Bookmark Building Technologies Office: Housing Innovation Awards on Delicious Rank Building Technologies Office: Housing Innovation Awards on Digg Find More places to share Building Technologies Office: Housing Innovation Awards on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator

366

" Million U.S. Housing Units"  

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

3 Lighting Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2...

367

Total U.S. Housing Units.................................  

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

Housing Units (millions) Single-Family Units Apartments in Buildings With-- Space Heating Usage Indicators Million U.S. Housing Units Detached Attached Energy Information...

368

" Million U.S. Housing Units"  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2...

369

Wind-Driven House Fire, Texas, 2009  

Science Conference Proceedings (OSTI)

Wind-Driven House Fire, Texas 2009. ... Selected Publications. Simulation of the Dynamics of a Wind-Driven Fire in a Ranch-Style House - Texas. ...

2012-02-08T23:59:59.000Z

370

White House Office of Manufacturing Policy  

Science Conference Proceedings (OSTI)

... and private, federal, state, and regional. The White House Office of ... has directed the Manufacturing Extension Partnership (MEP) housed within the ...

2011-12-12T23:59:59.000Z

371

Case Study 1 - Ventilation in Manufactured Houses  

Science Conference Proceedings (OSTI)

... Ventilation in Manufactured Houses. ... fan operation, an outdoor air intake duct installed on the forced-air return, and whole house exhaust with and ...

372

Whole-House Ventilation | Department of Energy  

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

air quality. There are four basic mechanical whole-house ventilation systems -- exhaust, supply, balanced, and energy recovery. Comparison of Whole-House Ventilation Systems...

373

Building Technologies Office: House Simulation Protocols Report  

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

House Simulation House Simulation Protocols Report to someone by E-mail Share Building Technologies Office: House Simulation Protocols Report on Facebook Tweet about Building Technologies Office: House Simulation Protocols Report on Twitter Bookmark Building Technologies Office: House Simulation Protocols Report on Google Bookmark Building Technologies Office: House Simulation Protocols Report on Delicious Rank Building Technologies Office: House Simulation Protocols Report on Digg Find More places to share Building Technologies Office: House Simulation Protocols Report on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center

374

Credit Supply and House Prices: Evidence from Mortgage Market Segmentation ?  

E-Print Network (OSTI)

We show that easier access to mortgage credit significantly increases house prices by using exogenous changes in the conforming loan limit as an instrument for easier credit supply and cheaper cost of credit. We find that houses that become eligible for financing with a conforming loan show an increase in house value of 1.1 dollars per square foot (for an average price per square foot of 224 dollars) and higher overall house prices controlling for a rich set of house characteristics. These coefficients are consistent with a local elasticity of house prices to interest rates below 6. In addition, loan to value ratios around the conforming loan limit deviate significantly from the common 80 percent norm, which confirms that it is an important factor in the financing choices of home buyers. In line with our interpretation, the results are stronger in the first half of our sample (1998-2001) when the conforming loan limit was more important, given that other forms of financing were less common and substantially more expensive.

Manuel Adelino; Antoinette Schoar; Felipe Severino; We Thank Viral Acharya; Gustavo Manso; Atif Mian; Sendhil Mullainathan; Chris Mayer; David Scharfstein; Mathew Slaughter; Jeremy Stein; Bill Wheaton

2011-01-01T23:59:59.000Z

375

MEASUREMENTS IN EIGHT "RADON-RESISTANT " NEW HOUSES  

E-Print Network (OSTI)

We have logged continuous radon, differential air pressures and other characteristics for eight houses built with radon-resistant features by Habitat for Humanity of Dane County. Pressures logged in the bases of the passive stacks were predominantly below basement air pressure, varying with time, while pressures in the sealed sump pits were above basement air pressure. Wind speed, wind direction and outdoor temperature affected the depressurization in the stack bases. With the stacks closed, the pressures in their bases increased to about 2 Pascals above basement air, and indoor radon increased by factors of 1.3 to 8 among the houses. In some houses, when appliance fans withdrawing air from the house envelope were operated, they pulled the basement air pressure below the pressure in the base of the stack, and bursts of indoor radon resulted. Basement radon averaged 1, 1.3, 2.6, 2.8, 3.8, 4.0, 4.0, and 12 pCi/L in winter in the eight houses. The latter house, which had poor sealing of basement floor-wall joints, was mitigated to 0.5 pCiIL with a 14-watt fan.

unknown authors

2003-01-01T23:59:59.000Z

376

Public housing renovation : an opportunity for a better housing environment  

E-Print Network (OSTI)

The central hypothesis of this study is that the current renovation program of public housing projects is based on a predominantly physical perspective. Understanding the administrative and implementation aspects of the ...

Jordn F., Pablo (Jordn Fuchs)

1984-01-01T23:59:59.000Z

377

,"Housing Units1","Average Square Footage Per Housing Unit",...  

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

the U.S. Department of Energy's Office of Energy and Efficiency and Renewable Energy (EERE). 5Rented includes households that occupy their primary housing unit without payment of...

378

Analysis of Air Leakage Measurements of US Houses  

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

Air Leakage Measurements of US Houses Air Leakage Measurements of US Houses Title Analysis of Air Leakage Measurements of US Houses Publication Type Journal Article Year of Publication 2013 Authors Chan, Wanyu R., Jeffrey Joh, and Max H. Sherman Journal Energy and Buildings Start Page 616 Pagination 616-625 Date Published 08/2013 Abstract Building envelope airtightness is important for residential energy use, occupant health and comfort. Weanalyzed the air leakage measurements of 134,000 single-family detached homes in US, using normalizedleakage (NL) as the metric. Weatherization assistance programs (WAPs) and residential energy efficiencyprograms contributed most of the data. We performed regression analyses to examine the relationshipbetween NL and various house characteristics. Explanatory variables that are correlated with NL includeyear built, climate zone, floor area, house height, and whether homes participated in WAPs or if theyare energy efficiency rated homes. Foundation type and whether ducts are located outside or inside theconditioned space are also found to be useful parameters for predicting NL. We developed a regressionmodel that explains approximately 68% of the observed variability across US homes. Of these variablesconsidered, year built and climate zone are the two that have the largest influence on NL. The regressionmodel can be used to predict air leakage values for individual homes, and distributions for groups ofhomes, based on their characteristics. Using RECS 2009 data, the regression model predicts 90% of UShouses have NL between 0.22 and 1.95, with a median of 0.67.

379

Data Center Power Consumption  

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

Center Power Consumption Center Power Consumption A new look at a growing problem Fact - Data center power density up 10x in the last 10 years 2.1 kW/rack (1992); 14 kW/rack (2007) Racks are not fully populated due to power/cooling constraints Fact - Increasing processor power Moore's law Fact - Energy cost going up 3 yr. energy cost equivalent to acquisition cost Fact - Iterative power life cycle Takes as much energy to cool computers as it takes to power them. Fact - Over-provisioning Most data centers are over-provisioned with cooling and still have hot spots November 2007 SubZero Engineering An Industry at the Crossroads Conflict between scaling IT demands and energy efficiency Server Efficiency is improving year after year Performance/Watt doubles every 2 years Power Density is Going Up

380

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

Note: This page contains sample records for the topic "housing characteristics 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 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

382

HOUSINGS AND MOUNTINGS FOR CENTRIFUGES  

DOE Patents (OSTI)

A protective housing for a gas centrifuge comprises a slidable connection between flanges and framework portions for absorbing rotational energy in case of bursting of the rotor and a sealing means for sealing the rotor chamber.

Rushing, F.C.

1960-08-16T23:59:59.000Z

383

TinyEARS: spying on house appliances with audio sensor nodes  

Science Conference Proceedings (OSTI)

Fine-grained awareness on how and where energy is spent is being increasingly recognized as the key to conserve energy. While several solutions to monitor the energy consumption patterns for commercial and industrial users exist, energy reporting systems ... Keywords: audio data classification, energy monitoring, house appliances, wireless audio sensor networks

Z. Cihan Taysi; M. Amac Guvensan; Tommaso Melodia

2010-11-01T23:59:59.000Z

384

"Table A45. Selected Energy Operating Ratios for Total Energy Consumption"  

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

5. Selected Energy Operating Ratios for Total Energy Consumption" 5. Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Value of Shipment Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

385

"Table A46. Selected Energy Operating Ratios for Total Energy Consumption"  

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

Selected Energy Operating Ratios for Total Energy Consumption" Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Employment Size Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

386

"Table A48. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

8. Selected Energy Operating Ratios for Total Energy Consumption for" 8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, and Economic" " Characteristics of the Establishment, 1994" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of Value","as a Percent","as a Percent","RSE" " ","per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row"

387

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

E-Print Network (OSTI)

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

Chen, S.; Li, N.

2006-01-01T23:59:59.000Z

388

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

SciTech Connect

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

Not Available

1987-05-13T23:59:59.000Z

389

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

Science Conference Proceedings (OSTI)

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

Not Available

1987-03-04T23:59:59.000Z

390

2009 Energy Consumption Per Person  

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

Per capita energy consumption across all sectors of the economy. Click on a state for more information.

391

Technique for tracking the effect of weatherization retrofits on low-income housing  

SciTech Connect

This report presents a technique for analyzing the effect of energy saving retrofits installed in low-income housing under a nationwide weatherization demonstration program. A tracking technique, based on the calculated balance-point temperature of each home prior to the weatherization, was developed to estimate the would-be fuel consumption over a period of time if the house had not been weatherized. The savings in fuel consumption for a home can be determined from the difference between the actual usage after retrofit and the calculated usage if it were not retrofitted. Besides the overall reduction, the saving in energy usage during different time periods while the house is being weatherized can be visualized from the graphical representation of the tracking technique.

Chang, Y.L.; Grot, R.A.

1983-04-01T23:59:59.000Z

392

" Million U.S. Housing Units"  

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

8 Water Heating Characteristics by Climate Zone, 2005" 8 Water Heating Characteristics by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Water Heating Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Number of Water Heaters" "1.",106.3,10.3,25.2,26.2,23,21.7 "2 or More",3.7,0.4,0.7,0.6,0.9,1.1 "Do Not Use Hot Water",1.1,0.3,0.2,0.5,"Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,10.1,22.9,23,22,21.7

393

Towards Zero Emissions CO2-Reduction in Mediterranean Social Housing  

E-Print Network (OSTI)

An in-depth study of the construction, use and deconstruction of a 60 apartment social housing complex to be built close to Barcelona revealed the importance of the application of life-cycle analysis, as the materials embodied energy showed to be responsible for half of the buildings life-cycle emissions. A 72% energy reduction compared to conventional housing projects is expected by implementation of centralised HVAC and DHW systems, based on ground source heat pumps and solar thermal energy, introducing an in Catalonia innovative facility management approach where energy and flow meters are installed in each flat for internet-based control of energy consumption, invoicing and supervision of the installation. A second study showed that up to 90% CO2 reduction considering the overall lifecycle is feasible at reasonable cost by giving priority to organic building materials like wood (CO2 storage effect), minimizing underground construction and increasing energy supply based on renewable energies.

Sabate, J.; Peters, C.; Cuchi, A.; Lopez, F.; Sagrera, A.; Wadel, G.; Vidal, J.; Cantos, S.

2008-10-01T23:59:59.000Z

394

Environmental Degradation Nuclear IX-Housing Form  

Science Conference Proceedings (OSTI)

ENVIRONMENTAL DEGRADATION OF MATERIALS IN NUCLEAR POWER SYSTEMSWATER REACTORS. HOUSING. RESERVATION FORM.

395

STARTLINK COMPOSITE HOUSING J. A. Hutchinson1  

E-Print Network (OSTI)

only the addition of insulation to build houses. With appropriate insulation, a Startlink house has that link together using bolts and snap-fit connection to build houses rapidly. The material is almost unknown in the industry yet has remarkable properties well suited to house building: lower thermal

Mottram, Toby

396

" Million U.S. Housing Units"  

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

1 Home Electronics Characteristics by Year of Construction, 2005" 1 Home Electronics Characteristics by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2005" "Home Electronics Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Personal Computers" "Do Not Use a Personal Computer ",35.5,5.7,3.3,4.6,4.7,5.8,5.7,4,1.7 "Use a Personal Computer",75.6,9,4.1,7.9,7.8,13.1,12.9,13.3,7.5 "Number of Desktop PCs" "1.",50.3,5.8,2.8,6.1,5.1,9.3,8.7,7.8,4.8

397

" Million U.S. Housing Units"  

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

3 Household Characteristics by South Census Region, 2005" 3 Household Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Household Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Household Size" "1 Person",30,11.5,6.2,2.1,3.2 "2 Persons",34.8,12.5,6.5,2.1,3.9 "3 Persons",18.4,7,4,1.1,1.8 "4 Persons",15.9,5.6,2.9,1.2,1.5 "5 Persons",7.9,2.9,1.5,0.3,1.1 "6 or More Persons",4.1,1.2,0.5,"Q",0.6 "2005 Annual Household Income Category"

398

" Million U.S. Housing Units"  

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

6 Air Conditioning Characteristics by Climate Zone, 2005" 6 Air Conditioning Characteristics by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Air Conditioning Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Do Not Have Cooling Equipment",17.8,3.2,4.7,3.6,5.5,0.9 "Have Cooling Equipment",93.3,7.7,21.4,23.7,18.5,21.9 "Use Cooling Equipment",91.4,7.6,21,23.4,17.9,21.7 "Have Equipment But Do Not Use it",1.9,"Q",0.4,0.4,0.6,0.3

399

" Million U.S. Housing Units"  

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

3 Household Characteristics by Northeast Census Region, 2005" 3 Household Characteristics by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Household Characteristics",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Household Size" "1 Person",30,5.5,3.8,1.7 "2 Persons",34.8,6.5,4.8,1.7 "3 Persons",18.4,3.4,2.4,1.1 "4 Persons",15.9,3,2.4,0.7 "5 Persons",7.9,1.4,1.2,0.2 "6 or More Persons",4.1,0.7,0.6,0.1 "2005 Annual Household Income Category" "Less than $9,999",9.9,1.9,1.4,0.5 "$10,000 to $14,999",8.5,1.8,1.4,0.4

400

" Million U.S. Housing Units"  

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

1 Home Electronics Characteristics by Urban/Rural Location, 2005" 1 Home Electronics Characteristics by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Electronics Characteristics",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Personal Computers" "Do Not Use a Personal Computer ",35.5,16.9,6.5,4.6,7.6 "Use a Personal Computer",75.6,30.3,12.5,18.1,14.7 "Number of Desktop PCs" "1.",50.3,21.1,8.3,10.7,10.1 "2.",16.2,6.2,2.8,4.1,3 "3 or More",9,2.9,1.4,3.2,1.6 "Number of Laptop PCs" "1.",22.5,9.1,3.6,6,3.8 "2.",4,1.5,0.6,1.3,0.7

Note: This page contains sample records for the topic "housing characteristics 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

" Million U.S. Housing Units"  

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

HC8.9 Home Appliances Characteristics by Urban/Rural Location, 2005" HC8.9 Home Appliances Characteristics by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Appliances Characteristics",,"City","Town","Suburbs","Rural" "Total U.S.",111.1,47.1,19,22.7,22.3 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,46.2,18.8,22.5,22.1 "1.",103.3,44.1,17.8,21.2,20.2 "2 or More",6.2,2.1,1,1.3,1.9 "Do Not Use an Oven",1.5,1,"Q",0.2,"Q" "Most-Used Oven Fuel" "Electric",67.9,26.8,11.5,14.4,15.1 "Natural Gas",36.4,19.2,6.9,7.6,2.7

402

" Million U.S. Housing Units"  

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

HC5.9 Home Appliances Characteristics by Year of Construction, 2005" HC5.9 Home Appliances Characteristics by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2005" "Home Appliances Characteristics" "Total U.S.",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,14.4,7.2,12.4,12.4,18.6,18.3,17.2,9.1 "1.",103.3,13.5,6.8,11.8,11.5,17.7,17.5,16.1,8.4 "2 or More",6.2,1,0.4,0.6,0.8,0.9,0.8,1.1,0.7

403

" Million U.S. Housing Units"  

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

4 Space Heating Characteristics by Climate Zone, 2005" 4 Space Heating Characteristics by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Space Heating Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N",0.3,0.8 "Have Main Space Heating Equipment",109.8,10.9,26,27.3,23.7,22 "Use Main Space Heating Equipment",109.1,10.9,26,27.3,23.2,21.7 "Have Equipment But Do Not Use It",0.8,"N","N","Q",0.5,"Q"

404

" Million U.S. Housing Units"  

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

6 Air Conditioning Characteristics by Number of Household Members, 2005" 6 Air Conditioning Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Air Conditioning Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Do Not Have Cooling Equipment",17.8,5.4,5.3,2.7,2.5,2 "Have Coolling Equipment",93.3,24.6,29.6,15.7,13.4,10 "Use Cooling Equipment",91.4,24,29.1,15.5,13.2,9.7 "Have Equipment But Do Not Use it",1.9,0.6,0.5,"Q",0.2,0.4 "Air-Conditioning Equipment1, 2 " "Central System",65.9,15.3,22.6,10.7,9.9,7.3

405

" Million U.S. Housing Units"  

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

Space Heating Characteristics by Year of Construction, 2005" Space Heating Characteristics by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2005" "Space Heating Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Do Not Have Space Heating Equipment",1.2,"N","Q","Q",0.2,0.4,0.2,0.2,"Q" "Have Main Space Heating Equipment",109.8,14.7,7.4,12.4,12.2,18.5,18.3,17.1,9.2 "Use Main Space Heating Equipment",109.1,14.6,7.3,12.4,12.2,18.2,18.2,17.1,9.1

406

" Million U.S. Housing Units"  

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

3 Household Characteristics by Midwest Census Region, 2005" 3 Household Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Household Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Household Size" "1 Person",30,7.3,5,2.3 "2 Persons",34.8,8.4,5.7,2.7 "3 Persons",18.4,4.1,3,1.1 "4 Persons",15.9,3.2,2.2,1 "5 Persons",7.9,1.8,1.4,0.4 "6 or More Persons",4.1,0.7,0.4,0.3 "2005 Annual Household Income Category" "Less than $9,999",9.9,2.3,1.8,0.5 "$10,000 to $14,999",8.5,2,1.4,0.6

407

" Million U.S. Housing Units"  

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

4 Space Heating Characteristics by Number of Household Members, 2005" 4 Space Heating Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Space Heating Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Do Not Have Space Heating Equipment",1.2,0.3,0.3,"Q",0.2,0.2 "Have Main Space Heating Equipment",109.8,29.7,34.5,18.2,15.6,11.8 "Use Main Space Heating Equipment",109.1,29.5,34.4,18.1,15.5,11.6 "Have Equipment But Do Not Use It",0.8,"Q","Q","Q","Q","Q"

408

" Million U.S. Housing Units"  

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

1 Home Electronics Characteristics by Number of Household Members, 2005" 1 Home Electronics Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Home Electronics Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Personal Computers" "Do Not Use a Personal Computer ",35.5,16.3,9.4,4,2.7,3.2 "Use a Personal Computer",75.6,13.8,25.4,14.4,13.2,8.8 "Number of Desktop PCs" "1.",50.3,11.9,17.4,8.5,7.3,5.2 "2.",16.2,1.5,5.8,3.8,3.3,1.9 "3 or More",9,0.4,2.2,2.1,2.7,1.7 "Number of Laptop PCs"

409

" Million U.S. Housing Units"  

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

HC6.9 Home Appliances Characteristics by Number of Household Members, 2005" HC6.9 Home Appliances Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Home Appliances Characteristics" "Total U.S.",111.1,30,34.8,18.4,15.9,12 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,29.5,34.4,18.2,15.7,11.8 "1.",103.3,28.4,32,17.3,14.7,11 "2 or More",6.2,1.1,2.5,1,0.9,0.8 "Do Not Use an Oven",1.5,0.6,0.4,"Q","Q","Q" "Most-Used Oven Fuel" "Electric",67.9,18.2,22.5,11.2,9.5,6.5

410

" Million U.S. Housing Units"  

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

8 Water Heating Characteristics by Year of Construction, 2005" 8 Water Heating Characteristics by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2005" "Water Heating Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Number of Water Heaters" "1.",106.3,14,7.2,12.2,12,18.4,17.7,16.1,8.8 "2 or More",3.7,0.6,"Q","Q",0.3,0.3,0.7,1.1,0.4 "Do Not Use Hot Water",1.1,"Q","Q","Q","Q","Q","Q","Q","Q"

411

"Table A10. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel"  

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

0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" 0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Barrels per Day)" ,,,," Inputs for Heat",,," Primary Consumption" " "," Primary Consumption for all Purposes",,," Power, and Generation of Electricity",,," for Nonfuel Purposes",,,"RSE" ," ------------------------------------",,," ------------------------------------",,," -------------------------------",,,"Row" "Economic Characteristics(a)","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","Factors"

412

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

413

Margins up; consumption down  

SciTech Connect

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

Mantho, M.

1983-09-01T23:59:59.000Z

414

Commercial Buildings Characteristics, 1992  

Science Conference Proceedings (OSTI)

Commercial Buildings Characteristics 1992 presents statistics about the number, type, and size of commercial buildings in the United States as well as their energy-related characteristics. These data are collected in the Commercial Buildings Energy Consumption Survey (CBECS), a national survey of buildings in the commercial sector. The 1992 CBECS is the fifth in a series conducted since 1979 by the Energy Information Administration. Approximately 6,600 commercial buildings were surveyed, representing the characteristics and energy consumption of 4.8 million commercial buildings and 67.9 billion square feet of commercial floorspace nationwide. Overall, the amount of commercial floorspace in the United States increased an average of 2.4 percent annually between 1989 and 1992, while the number of commercial buildings increased an average of 2.0 percent annually.

Not Available

1994-04-29T23:59:59.000Z

415

1999 Commercial Buildings Characteristics  

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

Data Reports > 2003 Building Characteristics Overview Data Reports > 2003 Building Characteristics Overview 1999 Commercial Buildings Energy Consumption Survey—Commercial Buildings Characteristics Released: May 2002 Topics: Energy Sources and End Uses | End-Use Equipment | Conservation Features and Practices Additional Information on: Survey methods, data limitations, and other information supporting the data The 1999 Commercial Buildings Energy Consumption Survey (CBECS) was the seventh in the series begun in 1979. The 1999 CBECS estimated that 4.7 million commercial buildings (± 0.4 million buildings, at the 95% confidence level) were present in the United States in that year. Those buildings comprised a total of 67.3 (± 4.6) billion square feet of floorspace. Additional information on 1979 to 1999 trends

416

Reducing Greenhouse Emissions and Fuel Consumption  

E-Print Network (OSTI)

the Emissions and Fuel Consumption Impacts of IntelligentTravel Time, Fuel Consumption and Weigh Station Efficiency.EMISSIONS AND FUEL CONSUMPTION - Sustainable Approaches for

Shaheen, Susan; Lipman, Timothy

2007-01-01T23:59:59.000Z

417

Essays on consumption cycles and corporate finance  

E-Print Network (OSTI)

and the consumption cycle . . . . . . . . . . . . .3.1.6 Optimal consumption, expenditures and1.3.2 Optimal nondurable consumption and durable

Issler, Paulo Floriano

2013-01-01T23:59:59.000Z

418

Milk consumption and acne in adolescent girls  

E-Print Network (OSTI)

Milk consumption and acne in adolescent girls Clement Aassociation between milk consumption and occurrence of acneand 'don't drink milk'. Consumption of the specific types of

2006-01-01T23:59:59.000Z

419

A Note on the Consumption Function  

E-Print Network (OSTI)

Zeldes, S. (1989) Consumption and Liquidity Constraints:A Note on the Consumption Function Douglas G.Steigerwald Consumption Function The international

Steigerwald, Douglas G

2009-01-01T23:59:59.000Z

420

Stock Market and Consumption: Evidence from China  

E-Print Network (OSTI)

A. 1992. Understanding Consumption. Cambridge, UK: CambridgeStock market wealth and consumption. The Journal of Economic139146. Stock Market and Consumption: Evidence from China

Hau, Leslie C

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

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

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

1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates in Trillion Btu) XLS Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel Oil for Selected Purposes by Census Region, Industry Group, and Selected Industries, 1991 (Estimates in Barrels per Day) XLS Total Primary Consumption of Energy for All Purposes by Census Region and Economic Characteristics of the Establishment, 1991 (Estimates in Btu or Physical Units) XLS

422

Indexes of Consumption and Production  

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

Figure on manufacturing production indexes and purchased energy consumption Figure on manufacturing production indexes and purchased energy consumption Source: Energy Information Administration and Federal Reserve Board. History of Shipments This chart presents indices of 14 years (1980-1994) of historical data of manufacturing production indexes and Purchased (Offsite-Produced) Energy consumption, using 1992 as the base year (1992 = 100). Indexing both energy consumption and production best illustrates the trends in output and consumption. Taken separately, these two indices track the relative growth rates within the specified industry. Taken together, they reveal trends in energy efficiency. For example, a steady increase in output, coupled with a decline in energy consumption, represents energy efficiency gains. Likewise, steadily rising energy consumption with a corresponding decline in output illustrates energy efficiency losses.

423

Table E3.1. Fuel Consumption, 1998  

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

E3.1. Fuel Consumption, 1998;" E3.1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

424

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

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

3 Offsite-Produced Fuel Consumption, 2002;" 3 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,,"Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

425

Ceramic tile expansion engine housing  

DOE Patents (OSTI)

An expandable ceramic tile housing for a high temperature engine is disclosed wherein each tile is independently supported in place in an interlocking matrix by retention mechanisms which mechanically couple the individual ceramic tiles to an outer metal support housing while maintaining thermal isolation of the metal housing from the ceramic tiles. The ceramic tiles are formed with either an octagonal front face portion and a square shank portion or a square front face portion with an octagonal shank portion. The length of the sides of the octagonal front face portion on one tile is equal to the length of the sides of the square front face portion of adjoining tiles to permit formation of an interlocking matrix. Fibrous ceramic sealing material may be placed between radial and tangential facing surfaces of adjacent tiles to limit radial gas flow there between. Labyrinth-sealed pressure-controlled compartments may be established between the tile housing and the outer metal support housing to control radial gas flow. 8 figures.

Myers, B.

1995-04-11T23:59:59.000Z

426

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

427

Amazing furnace-free house  

Science Conference Proceedings (OSTI)

A new 24,450 ft/sub 2/ house is described which has the following features: (1) 100% solar heating in a 6500 degree-day climate; (2) a greenhouse which never drops below 32/sup 0/F; (3) steady fresh air inflow; (4) building costs comparable to conventional homes of the same size; (5) roof solar collector and high temperature attic thermal storage; (6) a Solar Staircase which controls seasonal insolation; (7) a rock bin (100 ton) for low temperature storage; and (8) durability with low maintenance. The design features necessary to obtain the above criteria are discussed as well as the operation of the house for winter and summer use. An air moving system (fan plus ducts) is an essential part of the house. (MJJ)

Shurcliff, W.A.

1982-11-01T23:59:59.000Z

428

Cooling-energy measurements of unoccupied single-family houses with attics containing radiant barriers  

Science Conference Proceedings (OSTI)

Tests were conducted by Oak Ridge National Laboratory (ORNL) to determine the magnitude of the energy savings brought about by installing radiant barriers in the attics of single-family houses. The radiant barrier used for this test is a product with two reflective aluminum surfaces on a kraft paper base. The purpose of the radiant barrier is to reduce the radiant heat transfer component impinging on the fiberglass attic insulation. The radiant barrier works as a system in conjunction with an air space and can theoretically block up to 95% of far-infrared radiation heat transfer. The experiment was conducted in three unoccupied research houses that are operated by ORNL. Two variations on the installation of radiant barriers were studied. One house was used as the control house (no barrier was installed), while the other two were used to test the two different methods for installing the radiant barriers. In one house the barrier was laid on top of the attic fiberglass batt insulation, and in the other house, the barrier was attached to the underside of the roof trusses. The attics of all three houses were insulated with kraft-paper-faced R-19 fiberglass batt insulation. The results showed a savings in the cooling loads of 21% when the radiant barrier was laid on top of the attic fiberglass insulation and 13% with the radiant barrier attached to the underside of the roof trusses. The savings in electrical consumption were 17% and 9%, respectively. The electrical consumption data and the cooling load data indicate that the most effective way of installing the foil is to lay it on top of the fiberglass insulation. The radiant barriers reduced the measured peak ceiling heat fluxes by 39% for the case where the barrier was laid on top of the fiberglass insulation. The radiant barrier reduced the integrated heat flows from the attic to the house by approximately 30 to 35% over a 7-day time period.

Levins, W.P.; Karnitz, M.A.

1986-07-01T23:59:59.000Z

429

Ventilation Behavior and Household Characteristics in New California Houses  

E-Print Network (OSTI)

outdoor noise, home security, privacy, convenience, localand security concerns were very strong , as people did not w ant to leave windows open when they were not home and

Price, Phillip N.; Sherman, Max H.

2006-01-01T23:59:59.000Z

430

Ventilation Behavior and Household Characteristics in New California Houses  

E-Print Network (OSTI)

wood fireplace with tight doors, Fireplace without tight-fitting do ors, Freestanding combustioncombustion appliances, cooking, heating, sources of organic chemicals (VOCs) such as pressed woodwood fireplace with tight-fitting doors o Other Fireplace without tight- fitting doors o Freestanding combustion

Price, Phillip N.; Sherman, Max H.

2006-01-01T23:59:59.000Z

431

Ventilation Behavior and Household Characteristics in New California Houses  

E-Print Network (OSTI)

Pump Heating Gas Wall Heater Electric Wall Heater Wood stovepump Heating, Gas Wall Heater, Electric Wall He ater, Woodheating, sources of organic chemicals (VOCs) such as pressed wood

Price, Phillip N.; Sherman, Max H.

2006-01-01T23:59:59.000Z

432

Outlining the characteristics of tractable housing : a design of rowhouses  

E-Print Network (OSTI)

Architecture is not just flashy design, nor is its sole aim to determine what dispositions of form are appropriate for all people for all time. Sometimes the architect must take a more humble, less visible role. Participation ...

Craig, Charles Allen

1980-01-01T23:59:59.000Z

433

1997 Housing Characteristics Tables Home Office Equipment Tables  

Annual Energy Outlook 2012 (EIA)

Products and Services Users can view and download selected pages or entire reports, search for information, download data and analysis applications, and find out about new...

434

Table HC2.1 Housing Unit Characteristics by Type of Housing Unit ...  

U.S. Energy Information Administration (EIA)

Rural..... 22.3 17.8 Q 0.3 0.3 3.7 Climate Zone 1 Less than 2,000 CDD and--Greater than 7,000 HDD ..... 10.9 8.1 0.8 0.4 0.9 0.7 ...

435

Table HC1-4a. Housing Unit Characteristics by Type of Housing Unit,  

U.S. Energy Information Administration (EIA)

... | | | | Row RSE Column Factor: | 0.5 | 0.5 | 1.5 | 1.3 | 1.9 |Factors ... Q = Data withheld either because the Relative Standard Error ...

436

On-site Housing Rates | Staff Services  

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

Rates Rates Effective February 1, 2013 Rates for Occupancy < 30-Days Guest House* Single/Double: US $105.00/day Housekeeping service is provided on all working days. *Alternatives to the Guest House - When family-type accommodations are assigned to temporary or transient personnel, Guest House rates as set forth above will apply. The total will not exceed one months' rent for a unit occupied for 30 days or less. When such assignment is necessary due to lack of adequate Guest House accommodations, housekeeping service is provided on working days; for reservations staying seven days or less. Residence Houses Curie House: US $42.00/day Cavendish House: US $42.00/day Compton House: US $42.00/day Housekeeping service for all residence houses are provided three times per

437

Electrical appliance energy consumption control methods and ...  

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy ...

438

Map Data: State Consumption | Department of Energy  

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

Consumption Map Data: State Consumption stateconsumptionpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending...

439

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

U.S. Energy Information Administration (EIA)

Today in Energy - Commercial Consumption & Efficiency. Short, timely articles with graphs about recent commercial consumption and efficiency ...

440

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

SciTech Connect

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

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

2004-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "housing characteristics 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

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

SciTech Connect

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

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

2004-02-01T23:59:59.000Z

442

House Report 108-576, FY 2005 House Report for Commerce ...  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. Taken from House Report 108-576, FY 2005 House Report for Commerce, Justice, and State Appropriations bill. ...

2010-10-05T23:59:59.000Z

443

Persistence of savings in multifamily public housing  

SciTech Connect

In a previous study of 43 retrofit cases in multifamily public housing, it was found that initial energy savings did not always persist into the second and third post-retrofit years in the cases where there were at least two years of post-retrofit data. In this study, we revisit the topic of persistence of savings in low-income multifamily buildings by collecting additional energy consumption data from many of the 43 retrofit cases analyzed in the previous work. These new data, in most cases, cover the second through fourth years of post-retrofit energy performance, weather variations, and occupancy patterns. We include only those retrofit cases where there has been no new installation of conservation measures. A utility bill analysis was conducted using the Princeton Scorekeeping Method (PRISM). The analysis considered climate variation, type of building and occupant, type of conservation measure, and pre-retrofit energy use. We found that the extent to which savings persist depended on the type of conservation measure installed. Generally, energy savings from equipment measures (i.e., heating controls, new boilers, solar hot water systems, etc.) that require ongoing maintenance were less likely to persist beyond the first post-retrofit year. Shell measures (including window replacements), on the other hand, maintained their savings over several post-retrofit years.

Ritschard, R.; McAllister, A.

1992-04-01T23:59:59.000Z

444

" Million Housing Units, Final"  

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

3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" 3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Census Region and Division" "Northeast",20.8,5.6,1.3,3.4,2.6,2.6,2.2,1.5,1.6 "New England",5.5,1.8,0.3,0.7,0.6,0.7,0.8,0.3,0.4 "Middle Atlantic",15.3,3.8,1.1,2.7,2,1.9,1.4,1.1,1.2

445

2001 Residential Energy Consumption Survey  

U.S. Energy Information Administration (EIA)

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

446

Manufacturing Consumption of Energy 1991  

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

includes descriptions of the 30 groups that comprise the strata of the Manufacturing Energy Consumption Survey. These are the 20 major industrial groups (two-digit SIC) and...

447

Household Vehicles Energy Consumption 1991  

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

DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

448

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997  

U.S. Energy Information Administration (EIA)

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

449

Manufacturing Consumption of Energy 1991  

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

B Survey Design, Implementation, and Estimates Introduction The 1991 Manufacturing Energy Consumption Survey (MECS) has been designed by the Energy Information Administration...

450

Household Vehicles Energy Consumption 1991  

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

a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

451

Household Vehicles Energy Consumption 1994  

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

AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

452

Manufacturing Consumption of Energy 1994  

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

Energy Information AdministrationManufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas...

453

Manufacturing Consumption of Energy 1994  

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

Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

454

Household Vehicles Energy Consumption 1991  

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

Appendix A How the Survey Was Conducted Introduction The Residential Transportation Energy Consumption Survey (RTECS) was designed by the Energy Information Administration (EIA)...

455

Los angeles residential energy consumption. Final report  

SciTech Connect

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

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

1976-09-01T23:59:59.000Z

456

Rising House Prices and Monetary Policy  

E-Print Network (OSTI)

Abstract. It is argued that the recent rise in house prices is the biggest nancial asset price boom in history. In this note, I look at how house prices are determined and how house price bubbles can occur. I discuss whether the recent increase in house prices is a bubble, whether monetary policy can cause a rise in the price of houses relative to other goods and what central banks should do in response to house price bubbles. Finally, I consider how central banks should take account of house prices in the price index used by central banks to measure ination. According to the Economist, the rise in housing prices in developed countries in the last ve years is the biggest bubble in history, with the total value of residential properties increasing by more than $30 trillion: an amount roughly equal to to developed countries combined annual GDPs. 1 This compares with the global stockmarket boom of the late 1990s where the ve-year increase was equal to about 80 percent of annual GDP. 2 1. How are House Prices Determined? Before proceeding with an analysis of the relationship between monetary policy and the house price boom, it is useful to consider how house prices are determined and how a house price bubble might arise. To keep matters simple, I abstract from uncertainty, depreciation and transactions costs. Consider a household deciding whether to rent or to buy a house in period t. If the household rents the house it pays the time-t rent, denoted by Q(t). If it purchases the house it pays the time-t house price, denoted by Ph (t). If it opted to purchase, rather than rent, then at the start of period t + 1 the household owns a house worth Ph (t + 1): The value to the household in period t of an amount Ph (t + 1) received in period t + 1

Anne Sibert

2005-01-01T23:59:59.000Z

457

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

458

Before the Subcommittee on Energy and Power -- House Energy and...  

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

- House Energy and Commerce Committee Before the Subcommittee on Energy and Power -- House Energy and Commerce Committee Before the Subcommittee on Energy and Power -- House Energy...

459

Before House Natural Resources Committee | Department of Energy  

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

House Natural Resources Committee Before House Natural Resources Committee Before House Natural Resources Committee By: Lauren Azar, Senoir Advisor to Secretary Chu Subject:...

460

Before House Subcommittee on Energy and Power - Committee on...  

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

House Subcommittee on Energy and Power - Committee on Energy and Commerce Before House Subcommittee on Energy and Power - Committee on Energy and Commerce Before House Subcommittee...

Note: This page contains sample records for the topic "housing characteristics 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

Statement of Patricia Hoffman before the United States House...  

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

before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development Statement of Patricia Hoffman before the United States House of...

462

Before the House Armed Services Subcommittee on Strategic Forces...  

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

House Armed Services Subcommittee on Strategic Forces Before the House Armed Services Subcommittee on Strategic Forces Before the House Armed Services Subcommittee on Strategic...

463

Before House Committee on Oversight and Government Reform | Department...  

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

House Committee on Oversight and Government Reform Before House Committee on Oversight and Government Reform Before House Committee on Oversight and Government Reform By: Secretary...

464

White House Initiative on Historically Black Colleges and Universities...  

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

White House Initiative on Historically Black Colleges and Universities White House Initiative on Historically Black Colleges and Universities How WHI-HBCU are ran White House...

465

Before the House Subcommittee on Energy and Power - Committee...  

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

the House Subcommittee on Energy and Power - Committee on Energy and Commerce Before the House Subcommittee on Energy and Power - Committee on Energy and Commerce Before the House...

466

Before House Subcommittee on Water and Power - Committee on Natural...  

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

House Subcommittee on Water and Power - Committee on Natural Resources Before House Subcommittee on Water and Power - Committee on Natural Resources Before House Subcommittee on...

467

Before the House Science and Technology Subcommittee on Energy...  

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

House Science and Technology Subcommittee on Energy and Environment Before the House Science and Technology Subcommittee on Energy and Environment Before the House Science and...

468

Environmental amenities and disamenities, and housing prices; using GIS techniques  

E-Print Network (OSTI)

This research investigated the effects of Scientifically Estimated Environmental Risks (SEERs) and perceived risks of floods, hurricanes, and hazardous material releases, and hazard mitigation measures with other locational and neighborhood amenities on housing prices. This study also tested the relationship between demographic characteristics and SEERs as well as demographic characteristics and environmental risk perceptions. The relationships among these different types of variables were examined by means of statistical analyses such as correlational analyses, ANOVA, MANOVA, and hedonic price regression analyses. Major findings of this research are as follows: There were no statistically significant relationships between most of the demographic characteristics (age, sex, household size, marital status, tenure at the present home) and SEERs of the two natural hazards (a flood and a hurricane). By contrast, SEER of hazardous materials was correlated with all demographic characteristics. There were little differences in risk perceptions of natural and technological hazards across demographic groups. Specifically, the respondents' risk perceptions of both natural and technological hazards did not differ by age, household size, and marital status. By contrast, educational level, gender (male = 1), and median household income were negatively related to perceived risk of the natural hazards, whereas educational attainment and gender were negatively related to perceived risk of hazardous material releases. SEERs of floods and hurricanes were positively related to respondents' perception of property damage, but not related to injury or heath problems from those natural hazards. SEER of hazardous materials was related to all three categories of risk perception of a hazardous material release. Neither the SEERs of natural hazards nor risk perceptions of these hazards had impacts on housing prices. However, the SEER of hazardous material releases and risk perceptions of this hazard were significant housing price determinants. None of the variables representing household hazard mitigation measures contributed to the explanation of housing prices.

Hwang, Seong-Nam

2003-08-01T23:59:59.000Z

469

DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY  

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

193/P 193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY OFFICE OF THE CONSUMPTION DATA SYSTEM OFFICE OF PROGRAM DEVELOPMENT ENERGY INFORMATION ADMINISTRATION AUGUST 1, 1979 PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY Attached is the first report of the Office of the Consumption Data System, Office of Program Development, Energy Information Administration, presenting preliminary data from the National Interim Energy Consumption Survey (NIECS). The focus of this report is the conservation activities performed by households since January 1977, and the status of households with respect to insulation, storm windows, and other energy conserving characteristics. These tables are from preliminary data files.

470

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

471

The Multifamily Market: Size, Characteristics, and Decision Making  

Science Conference Proceedings (OSTI)

As of 1996, the multi-family housing segment comprised 27 million units of the 99 million housing units in the United States and used 192 TWhs, approximately 18 percent of total residential electricity consumption. The segment's energy expenditures totaled $26 billion. This large and growing market segment presents many opportunities for energy providers, especially in the large-scale apartment subsegment where relatively few players make or influence decisions for large groups of properties and resident...

1999-06-25T23:59:59.000Z

472

California Housing Trends: Implications for Transportation Planning  

E-Print Network (OSTI)

Constraints 1997-2020, Department of Housing and Communitymore people means more housing needs. By 2020, the state ishousing on by the year 2010. Consequently by the year 2020,

Shirgaokar, Manish; Deakin, Elizabeth

2001-01-01T23:59:59.000Z

473

Please transfer ALL data off /house  

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

Please transfer ALL data off house before 1212013 Please transfer ALL data off house September 3, 2013 by Kjiersten Fagnan (0 Comments) We are happy to announce that all the...

474

THE WHITE HOUSE | Department of Energy  

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

THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications Progress Report on U.S.-China Energy Cooperation US-China clean energy report US-ChinaFactSheetElectricVehicles....

475

Advanced housing materials for extreme space applications  

Science Conference Proceedings (OSTI)

Thermal stresses have a significant impact on the mechanical integrity and performance of RF hybrid circuits. To minimize this impact, a series of spray deposited Si-Al alloys were evaluated for use in electronic housing applications. Current housings ...

Linda Del Castillo; James P. Hoffman; Gaj Birur

2011-03-01T23:59:59.000Z

476

The Malay house : rationale and change  

E-Print Network (OSTI)

The Malay house is defined and described in the Malaysian context . Underlying principles or rules that make up the house are derived from the analysis of its physical, spatial and functional elements and the variations ...

Wan Abidin, Wan Burhanuddin B

1981-01-01T23:59:59.000Z

477

World energy consumption  

Science Conference Proceedings (OSTI)

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

NONE

1995-12-01T23:59:59.000Z

478

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

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

Simulating a Nationally Representative Housing Sample Using EnergyPlus Simulating a Nationally Representative Housing Sample Using EnergyPlus Title Simulating a Nationally Representative Housing Sample Using EnergyPlus Publication Type Report LBNL Report Number LBNL-4420E Year of Publication 2011 Authors Hopkins, Asa S., Alexander B. Lekov, James D. Lutz, and Gregory J. Rosenquist Subsidiary Authors Energy Analysis Department Pagination 55 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley ISBN Number LBNL-4420E Abstract This report presents a new simulation tool under development at Lawrence Berkeley National Laboratory (LBNL). This tool uses EnergyPlus to simulate each single-family home in the Residential Energy Consumption Survey (RECS), and generates a calibrated, nationally representative set of simulated homes whose energy use is statistically indistinguishable from the energy use of the single-family homes in the RECS sample. This research builds upon earlier work by Ritchard et al. for the Gas Research Institute and Huang et al. for LBNL. A representative national sample allows us to evaluate the variance in energy use between individual homes, regions, or other subsamples; using this tool, we can also evaluate how that variance affects the impacts of potential policies.

479

Sustainability: Economics, Lifecycle Analysis, Green House Gases ...  

Science Conference Proceedings (OSTI)

Report on Linking Transformational Materials and Processing for Energy and ... LIFECYCLE ANALYSIS, GREEN HOUSE GASES, AND CLIMATE CHANGE...

480

Before the House Transportation and Infrastructure Subcommittee...  

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

Transportation and Infrastructure Subcommittee on Economic Development, Public Buildings, and Emergency Management Before the House Transportation and Infrastructure Subcommittee...

Note: This page contains sample records for the topic "housing characteristics consumption" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

CAST SHOP TECHNOLOGY: V: Cast House Safety  

Science Conference Proceedings (OSTI)

TMS Logo. 1997 TMS Annual Meeting: Wednesday Session. CAST SHOP TECHNOLOGY: Session V: Cast House Safety. Sponsored by: LMD Aluminum...

482

US Commerce Secretary, White House Cybersecurity ...  

Science Conference Proceedings (OSTI)

Watch Webcast Today: US Commerce Secretary Gary Locke, White House Cybersecurity Coordinator Howard A. Schmidt to Visit Silicon Valley to ...

2011-01-11T23:59:59.000Z

483

White House Statement - 2000 Baldrige Awards  

Science Conference Proceedings (OSTI)

THE WHITE HOUSE Office of the Press Secretary. President Clinton Announces Winners of 2000 Baldrige Award. For Immediate ...

2011-07-13T23:59:59.000Z

484

US Commerce Secretary Gary Locke, White House ...  

Science Conference Proceedings (OSTI)

US Commerce Secretary Gary Locke, White House Cybersecurity Coordinator Howard A. Schmidt Announce Next Steps to Enhance Online ...

2011-01-10T23:59:59.000Z

485

House Report 109-118 NIST Appropriations  

Science Conference Proceedings (OSTI)

... House Report 109-118 - SCIENCE, STATE, JUSTICE, COMMERCE, AND RELATED AGENCIES APPROPRIATIONS BILL, FISCAL YEAR 2006. ...

2010-10-05T23:59:59.000Z

486

The Dow Chemical Company - NA System House ...  

Science Conference Proceedings (OSTI)

The Dow Chemical Company - NA System House - Wilmington. NVLAP Lab Code: 100210-0. Address and Contact Information: ...

2013-09-27T23:59:59.000Z

487

Electricity Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA Electricity Electricity Consumption world Data text/csv icon total_electricity_net_consumption_1980_2009billion_kwh.csv (csv, 50.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

488

Biofuels Consumption | OpenEI  

Open Energy Info (EERE)

Biofuels Consumption Biofuels Consumption Dataset Summary Description Total annual biofuels consumption and production data by country was compiled by the Energy Information Administration (EIA). Data is presented as thousand barrels per day. Source EIA Date Released Unknown Date Updated Unknown Keywords Biofuels Biofuels Consumption EIA world Data text/csv icon total_biofuels_production_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) text/csv icon total_biofuels_consumption_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2010 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote

489

Coal consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description Total annual coal consumption by country, 1980 to 2009 (available as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords coal Coal consumption EIA world Data text/csv icon total_coal_consumption_1980_2009quadrillion_btu.csv (csv, 38.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

490

Manufacturing Consumption of Energy 1994  

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

(MECS) > MECS 1994 Combined Consumption and Fuel Switching (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption Logo Full Report - (file size 5.4 MB) pages:531 Selected Sections (PDF format) Contents (file size 56 kilobytes, 10 pages). Overview (file size 597 kilobytes, 11 pages). Chapters 1-3 (file size 265 kilobytes, 9 pages). Chapter 4 (file size 1,070 kilobytes, 15 pages). Appendix A - Detailed Tables Tables A1 - A8 (file size 1,031 kilobytes, 139 pages). Tables A9 - A23 (file size 746 kilobytes, 119 pages). Tables A24 - A29 (file size 485 kilobytes, 84 pages). Tables A30 - A44 (file size 338 kilobytes, 39 pages). Appendix B (file size 194 kilobytes, 24 pages). Appendix C (file size 116 kilobytes, 16 pages).

491

Table HC11.8 Water Heating Characteristics by Northeast Census ...  

U.S. Energy Information Administration (EIA)

Water Heating Characteristics Middle Atlantic New England Northeast Census Region U.S. Housing Units (millions) Census Division Total Northeast Energy Information ...

492

Table HC12.8 Water Heating Characteristics by Midwest Census ...  

U.S. Energy Information Administration (EIA)

Water Heating Characteristics East North Central West North Central Midwest Census Region U.S. Housing Units (millions) Census Division Total Midwest

493

Edition Two, October 2009 Welcome to HOUSES!  

E-Print Network (OSTI)

, interpretation and analysis of the residential property market: Editorial ­ page 3 We all know that house prices for potential buyers. Feature article - House price indices - page 5 In each edition we focus on a contemporary topic of relevance to the property market. In this edition we describe how the different house price

Evans, Paul

494

Essays on the household-level effects of house price growth  

E-Print Network (OSTI)

Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .

Sitgraves, Claudia Ayanna

2009-01-01T23:59:59.000Z

495

Minneapolis residential energy consumption. Final report  

SciTech Connect

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

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

1976-11-01T23:59:59.000Z

496

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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

, , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

497

Puerto Rico House Tours Report  

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

team of Universidad de Puerto Rico is planning to present team of Universidad de Puerto Rico is planning to present the most interesting tour in Washington. The purpose and the message of the competition, the pride that the team has for their work, their house and their country are the elements that will be combined in order to give all the visitors an amazing and unique experience. The team will communicate through the tours the importance of renewable energy. The Delegation from Puerto Rico is going to show and explain their design in a accurate way, all the features and its benefits. The house tours will serve as a tool to persuade the people to believe in team's mission: To create societal consciousness about the sun as a technological, renewable, clean and feasible source of energy to satisfy present and

498

Remotely serviced filter and housing  

DOE Patents (OSTI)

A filter system for a hot cell comprises a housing adapted for input of air or other gas to be filtered, flow of the air through a filter element, and exit of filtered air. The housing is tapered at the top to make it easy to insert a filter cartridge holds the filter element while the air or other gas is passed through the filter element. Captive bolts in trunnion nuts are readily operated by electromechanical manipulators operating power wrenches to secure and release the filter cartridge. The filter cartridge is adapted to make it easy to change a filter element by using a master-slave manipulator at a shielded window station. 6 figs.

Ross, M.J.; Zaladonis, L.A.

1987-07-22T23:59:59.000Z

499

Projecting household energy consumption within a conditional demand framework  

SciTech Connect

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-01-01T23:59:59.000Z

500

Projecting household energy consumption within a conditional demand framework  

Science Conference Proceedings (OSTI)

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-12-31T23:59:59.000Z