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1

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

2

Housing characteristics 1993  

SciTech Connect (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

3

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

4

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

5

Housing as basis for sustainable consumption  

Science Journals Connector (OSTI)

An important element in the discussion regarding sustainable development in our part of the world is directed towards the large growth in private consumption, and the clash of interests that arises between this growth and sustainable development requirements. A considerable part of private consumption can be related to our houses and the living situations of which they are part. It is of considerable interest to obtain more knowledge about the variations in patterns and volumes of consumption between different living situations, as well as to explore the important factors behind these variations. The acquisition of this type of empirical knowledge is an important aim in the present study. It is based on the superior thesis that it is possible through land use and housing planning to achieve substantial changes in living situations and thus contribute to a development in a direction of ''sustainable production and consumption''. The article first sums up the state-of-art regarding research on relations between physical planning, household consumption and environment. A theoretical framework and the methods applied in a Norwegian research project acquiring new empirical knowledge into these relations are also presented. The project was intended to be finished by the end of year 2000. Parts of the investigations are, however, completed and the material has been analysed. Two different types of urban structure, Oslo and a small rural town, are included in the investigations. The article presents some of the findings and relates them to former research.

Karl Georg Hoyer; Erling Holden

2001-01-01T23:59:59.000Z

6

Housing  

Science Journals Connector (OSTI)

A large part of the worlds energy consumption is used in the housing and transport sectors. Any reduction in their energy consumption, for the same quality of product or service, is highly worthwhile. Housing...

Christian Ng; Marcel H. Van de Voorde

2014-01-01T23:59:59.000Z

7

Demonstration Of A Monitoring Lamp To Visualize The Energy Consumption In Houses  

E-Print Network [OSTI]

Demonstration Of A Monitoring Lamp To Visualize The Energy Consumption In Houses Christophe Gisler1://www.unipg.it Abstract. We report on the development of a wireless lamp dedicated to the feedback of energy consumption is a good solution to make people gain awareness of their energy consumption and hence reduce it [1

Paris-Sud XI, Université de

8

1. -HOUSING AND ENVIRONMENT Colostrum consumption, thermoregulation and heat production  

E-Print Network [OSTI]

. Comparison of four air conditioning systems in fattening pig-houses C. TEXIER, R. GRANIER B. DE LA FARGE tested with each air conditioning system. The animals were housed by groups of ten on a surface of 0.8 M2) the statical system seems to be better, while air conditioning by overpressure is not recommended in winter

Paris-Sud XI, Université de

9

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

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

CDD or More and Less than 4,000 HDD Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

10

Abstract--Energy consumption and the concomitant Green House Gases (GHG) emissions of network infrastructures are  

E-Print Network [OSTI]

Abstract--Energy consumption and the concomitant Green House Gases (GHG) emissions of network on the overall power consumption and on the GHG emissions with just 25% of green energy sources. I. INTRODUCTION]. In the zero carbon approach, renewable (green) energy sources (e.g. sun, wind, tide) are employed and no GHGs

Politècnica de Catalunya, Universitat

11

Immigrant characteristics and Hispanic-Anglo housing inequality  

Science Journals Connector (OSTI)

This paper seeks to explain why Hispanic households in the United States live in housing ... Anglos. I argue that immigrant characteristics of Hispanic households and...the metropolitan areas in which Hispanics ...

Lauren J. Krivo

1995-11-01T23:59:59.000Z

12

"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"

13

"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"

14

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

SciTech Connect (OSTI)

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

15

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

SciTech Connect (OSTI)

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

16

Housing Finance Arrangements, Wealth Positioning and Housing Consumption in Japan: An Analysis of Built-for-sale Homeowners  

Science Journals Connector (OSTI)

Home purchase is financed through equity and debt. Housing finance arrangements require initial downpayments and impose monthly repayments. Similar to many countries, Japanese households accumulate savings out...

Piyush Tiwari; Edwin Deutsch; Yoko Moriizumi

2007-04-01T23:59:59.000Z

17

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 ......................

18

Energy consumption profile of public housing for lower-mid income families in a fast growing city of Argentina  

Science Journals Connector (OSTI)

A large variety of construction patterns can be found in public-housing programs for lower-mid income families in Santa Rosa, a fast growing city located in a temperate area of central Argentina. Very little attention has been paid to the energy assessment of different patterns that are needed to prescribe energy-saving guidelines for improving the energy performance of housing plans. The objective of this work was to describe the energy profile and understand the energy behaviour of public housing programs which differ in their construction patterns. The annual and seasonal energy behaviour of public and non-public residential dwellings was compared in terms of electricity and gas consumption. A similar comparison between remodelled and non-remodelled dwellings was performed within the public-dwellings sample. Results showed that public and non-public dwellings did not differ in terms of electricity consumption, but they differed greatly in terms of gas consumption. Non-public dwellings, which are larger and heterogeneous, demand more gas for heating during the winter. No difference in annual energy consumption was found in the comparison of remodelled and non-remodelled public dwellings. However, they differ in electricity consumption patterns during the critical winter season: the lower winter consumption of remodelled dwellings could be partially explained by a construction change aimed at lowering the expensive consumption of electricity. In spite of the fact that the energy behaviour of public dwellings seems to be seasonal, dependent upon more than design factors alone, a significant energy saving can be obtained by introducing well-known design technologies.

Celina Filippin

1998-01-01T23:59:59.000Z

19

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 ....................................

20

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 .....................................

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

"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"

22

"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"

23

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

24

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

SciTech Connect (OSTI)

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.

NONE

1998-10-01T23:59:59.000Z

25

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

26

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect (OSTI)

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

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

27

Collaborative housing and environmental efficiency: the case of food preparation and consumption  

Science Journals Connector (OSTI)

In theory, food handling in collaborative housing systems could have a number of environmental advantages compared with households and food service institutions. This paper explores to what extent some of these theoretical advantages are realised in two collaborative housing units in a major Swedish city. Food-related energy use and waste flows were measured and compared with results from food service institutions and some data relevant for households. Results show that energy use for cooking decreases in collaborative houses compared with households but energy use for food storage increases. Plate and food preparation wastes are low in the studied collaborative houses but food leftovers may be abundant. The latter result depends on how the dining system is organised. A bottleneck for improving the environmental efficiency in collaborative housing is the static view of apartment design held by many architects and real estate owners. Another bottleneck may be the unwillingness of households to make advance commitments to daily dining.

Annika Carlsson-Kanyama

2004-01-01T23:59:59.000Z

28

"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"

29

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

30

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

31

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)

32

Relationships between physical characteristics of the pig house, the engineering and control systems of the environment,  

E-Print Network [OSTI]

: engineering, environment, pig hou.re, production, growing pigs. #12;1. Introduction From laboratoryRelationships between physical characteristics of the pig house, the engineering and control systems of the environment, and production parameters of growing pigs R. GEERS, D. BERCKMANS, V. GOEDSEELS

Paris-Sud XI, Université de

33

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..........................

34

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..........................

35

"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

36

"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"

37

"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"

38

"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"

39

"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"

40

"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

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

"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"

42

"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

43

"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

44

"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"

45

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...........................................

46

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

47

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 ......................

48

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

49

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

50

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..............................................................

51

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

52

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

53

The prediction of heating energy consumption in a model house by using artificial neural networks in Denizli-Turkey  

Science Journals Connector (OSTI)

Turkey does not have petrol and natural gas reserves on a large scale. National energy resources are lignite and hydropower. Together with increasing environmental problems and diminishing fossil resources, studies focusing on energy reduction as well ... Keywords: Artificial neural network, Degree-hour method, Energy consumption, Heating

. Altan Dombayc?

2010-02-01T23:59:59.000Z

54

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

55

Emissions and fuel consumption characteristics of an HCNG-fueled heavy-duty engine at idle  

Science Journals Connector (OSTI)

Abstract The idle performance of an 11-L, 6-cylinder engine equipped with a turbocharger and an intercooler was investigated for both compressed natural gas (CNG) and hydrogen-blended CNG (HCNG) fuels. HCNG, composed of 70% CNG and 30% hydrogen in volume, was used not only because it ensured a sufficient travel distance for each fueling, but also because it was the optimal blending rate to satisfy EURO-6 emission regulation according to the authors' previous studies. The engine test results demonstrate that the use of HCNG enhanced idle combustion stability and extended the lean operational limit from excess air ratio (?)=1.5 (CNG) to 1.6. A decrease of more than 25% in the fuel consumption rate was achieved in HCNG idle operations compared to CNG. Total hydrocarbon and carbon monoxide emissions decreased when fueled with HCNG at idle because of the low carbon content and enhanced combustion characteristics. In particular, despite hydrogen enrichment, less nitrogen oxides (NOx) were emitted with HCNG operations because the amount of fuel supplied for a stable idle was lower than with CNG operations, which eventually induced lower peak in-cylinder combustion temperature. This low HCNG fuel quantity in idle condition also induced a continuous decrease in \\{NOx\\} emissions with an increase in ?. The idle engine test results also indicate that cold-start performance can deteriorate owing to low exhaust gas temperature, when fueled with HCNG. Therefore, potential solutions were discussed, including combustion strategies such as retardation of spark ignition timing combined with leaner air/fuel ratios.

Sunyoup Lee; Changgi Kim; Young Choi; Gihun Lim; Cheolwoong Park

2014-01-01T23:59:59.000Z

56

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

E-Print Network [OSTI]

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

Kim, Jong Yon

2012-11-29T23:59:59.000Z

57

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

58

Characteristic fuel consumption and exhaust emissions in fully mechanized logging operations  

Science Journals Connector (OSTI)

A study was done using eight different logging machines (harvesters and forwarders) in clear-felling operations to quantify the associated fuel consumption, and to define the inherent relationship between engine ...

Radomir Klvac; Alois Skoupy

2009-12-01T23:59:59.000Z

59

Issues in International Energy Consumption Analysis: Electricity...  

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

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

60

"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

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

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

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

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

62

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

63

Measurement of the acoustic characteristics of the concert hall at the Sydney Opera House  

Science Journals Connector (OSTI)

The Sydney Opera House Trust is considering making changes to its Concert Hall. Prior to any alteration the Acoustics group at the University of Sydney has sought to document the hall. The main measurements were made for 48 receiver locations and 6 source locations using omnidirectional measurement microphones B?format (Soundfield) microphones and dummy head microphones in every receiver position. The measurements included impulse responses anechoic music recordings and recordings of a calibrated sound power source. Results documented by previous practitioners and researchers are described and comparison is made with the recent results.

2003-01-01T23:59:59.000Z

64

The effects of alternative housing on pork carcass quality and yield characteristics /by Randall Long.  

E-Print Network [OSTI]

??Quality and yield characteristics of finishing hogs in alternative and conventional confinement were evaluated. Trials were conducted June _October 2008, using a hoop barn (designed (more)

Long, Randall.

2014-01-01T23:59:59.000Z

65

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]

.066 513 32 1381 0.33 IN 0.043 0.025 96 6 837 0.20 GP 0.16 0.093 801 50 837 0.20 AR - - 1121 70 1464 0.35 System Simulation The house had a direct expansion (DX) cooling system with heat pump both in EPlus and in DOE-2. This system controlled only... the cooling electricity consumption in all loading conditions in all models. The decreases in cooling electricity consumption with ground coupling were higher in EPlus GCS (38%- 100%) than in DOE-2 GCW (19%-95%) and in EPlus GCW (15%-91%). The highest...

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

66

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

67

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.................................................

68

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........................

69

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

Science Journals Connector (OSTI)

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

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

2014-11-01T23:59:59.000Z

70

Energy Consumption Characteristics of Light Manufacturing Facilities in The Northern Plains: A Study of Detailed Data from 10 Industrial Energy Audits Conducted in 1993  

E-Print Network [OSTI]

ENERGY CONSUMPTION CHARACTERISTICS OF LIGHT MANUFACTURING FACll..ITIES IN THE NORTHERN PLAINS: A study of detailed data from 10 industrial energy audits conducted in 1993. Michael Twedt Graduate Research Assistant IEOPIEADC South Dakota... profiles and common energy conservation opportunities. A statistical breakdown of energy consumption of 10 light manufacturing facilities by process, equipment type, and end use is provided. Common energy optimization procedures are also summarized...

Twedt, M.; Bassett, K.

71

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

72

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

73

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

74

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

75

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.

76

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

77

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

E-Print Network [OSTI]

, 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...

Wolber, Nathan

2010-01-16T23:59:59.000Z

78

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

79

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

80

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

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

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.

2012-01-01T23:59:59.000Z

82

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)

83

Energy House  

Broader source: Energy.gov [DOE]

Students learn about energy conservation and efficiency by using various materials to insulate a cardboard house.

84

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

85

Postdoc Housing  

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

86

Student Housing  

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

87

Energy Consumption  

Science Journals Connector (OSTI)

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

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

88

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.

89

Meadowlark House  

Office of Energy Efficiency and Renewable Energy (EERE)

This poster describes the energy efficiency features and sustainable materials used in the Greensburg GreenTown Chain of Eco-Homes Meadowlark House in Greensburg, Kansas.

90

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

SciTech Connect (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

91

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

92

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

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

NONE

1995-10-05T23:59:59.000Z

93

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

94

House Snakes  

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

95

Tobacco Consumption  

Science Journals Connector (OSTI)

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

Martina Ptschke-Langer

2008-01-01T23:59:59.000Z

96

Developing Alaskan Sustainable Housing  

Office of Energy Efficiency and Renewable Energy (EERE)

The Association of Alaska Housing Authorities is holding a 3-day training event for housing developmentprofessionals titled Developing Alaskan Sustainable Housing (DASH). This is a unique...

97

Sod Houses  

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

98

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

99

HVAC Improvements for Existing Houses  

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

100

Are the World Food Programmes food consumption groups a good proxy for energy deficiency?  

Science Journals Connector (OSTI)

The Food Consumption Score (FCS) is the World Food Programmes main food access indicator, ... as having poor, borderline or acceptable food consumption. The ability of the FCS and its thresholds to classify hous...

Margarita Lovon; Astrid Mathiassen

2014-08-01T23:59:59.000Z

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.


101

Mobile-component housing and solar energy: the possibilities  

SciTech Connect (OSTI)

The possibilities for acceptance of PV among different modes of housing construction are considered. The focus is on that form of housing production defined as mobile-component housing, a type of housing built in a factory to a single national construction standard. The first section describes the structure of the manufactured housing industry. It provides definitions and terminology necessary to a discussion of mobile-component housing. It then reviews the production activity and approach, distribution, consumer and financing for this mode of housing. The second section presents the product characteristics of mobile-component housing. The third section reviews solar technologies, and discusses their relation to mobile-component housing. The fourth section focuses specifically on factors influencing receptivity to solar by the mobile-component housing industry. The conclusion summarizes the analysis as it relates to the possibilities for photovoltaics in mobile-component housing.

Nutt-Powell, T.E.; Furlong, M.

1980-04-01T23:59:59.000Z

102

Meadowlark House  

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

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),

103

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

In this chapter we study the consumption behavior of an agent in the dynamic framework of consumption/investment decision making that allows the presence of a subsistence consumption level and the possibility of ...

E. L. Presman

1997-01-01T23:59:59.000Z

104

" 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

105

House Spiders  

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

106

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"

107

" 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"

108

" 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"

109

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

Gasoline and Diesel Fuel Update (EIA)

characteristics tables + EXPAND ALL Fuels used & end uses Preliminary release date: March 28, 2011 Final release date: May 6, 2013 ZIP (all tables) by type of housing unit...

110

The Absent House: The Ecological House of Puerto Rico  

High Performance Buildings Database

Vega Alta, PR The Absent House takes advantage of the benevolent climate of the humid tropics of Puerto Rico to play with the ambiguity of interior and exterior spaces. Main spaces include: a kitchenette and master bathroom suite; a guest tower with a bedroom, bathroom, and small library; an open, public pavilion for cooking, dining, and porch activities; a bathroom for visitors; an infrastructure pavilion for electricity and water consumption management; and an organic garden. The Patio of the Sun and the Stars, the most important s

111

Practical results of heat conservation in a housing estate scale-actions implemented by the Pradnik-Bialy-Zachod housing cooperative in Cracow  

SciTech Connect (OSTI)

There are 11,600,000 apartments occupied in Poland. More than 7,700,000 of these apartments are located in towns. Energy consumption for heating, ventilation and district hot water in residential housing reaches 40% of the national power balance. A portion of district heat distribution and relatively low energy efficiency is characteristic for Polish residential housing. Seventy five percent of apartments in towns are provided with central heating installations and 55% of the entire heat demand in Polish buildings is covered by district heating systems. The total installed heat power of these systems reaches 46,000 MW. The situation with regard to conservation in Polish residential housing is directly related to the legacy of central planning of the national economy and to the current phase of its re-organization to the market-oriented system. The standard value of the overall heat-transfer coefficient for external walls in Poland until 1980 was 1.16 W/m{sup 2}K; at present it is reduced to 0.55 W/m{sup 2}K. There are numerous reasons for the low energy efficiency in residential housing. These reasons are discussed.

Piotrowski, L. [Pradnik-Bialy-Zachod Housing Cooperative, Cracow (Poland)

1995-12-31T23:59:59.000Z

112

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

E-Print Network [OSTI]

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

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

113

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

114

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.

115

House Retirement Timeline  

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

116

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"

117

Externality of Consumption  

Science Journals Connector (OSTI)

Externalities of consumption exist if one individual's consumption of agood or service has positive... utility of another person. Apositive externality increases ...

2008-01-01T23:59:59.000Z

118

Radon in Syrian houses  

Science Journals Connector (OSTI)

A nationwide investigation of radon levels in Syrian houses was carried out during the period 1991 - 1993. Passive radon diffusion dosemeters using polycarbonate detectors were distributed in houses all over Syria. Detectors were subjected to electrochemical etching to reveal latent tracks of alpha particles. The mean radon concentration in Syrian houses was found to be with some values several times higher. This investigation indicated that there were a few houses in Syria that require remedial action. Most houses that have high levels of radon were found in the southern area, especially in the Damascus governorate. The study also indicated that radon concentrations were higher in old houses built from mud with no tiling.

I Othman; M Hushari; G Raja; A Alsawaf

1996-01-01T23:59:59.000Z

119

Multifamily Housing: Looking for Energy Solutions  

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

120

Pacific Housing | Open Energy Information  

Open Energy Info (EERE)

Housing Jump to: navigation, search Name: Pacific Housing Place: Sacramento, CA Website: http:www.pacifichousing.com References: Pacific Housing1 Information About Partnership...

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

Residential Lighting End-Use Consumption  

Broader source: Energy.gov [DOE]

The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

122

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

123

" Million Housing Units, Final...  

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

2 Fuels Used and End Uses in U.S. Homes, by OwnerRenter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings...

124

" Million Housing Units, Final...  

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

2 Household Demographics of U.S. Homes, by OwnerRenter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings...

125

Houses undergoing psychoanalysis :  

E-Print Network [OSTI]

The objective of this thesis is to explore the relationship between the self and the house. In approaching the subject, my assumptions were that the basic condition of the house-self relationship is of tension and animosity ...

Palmon, Ruth, 1970-

2002-01-01T23:59:59.000Z

126

Insulator for laser housing  

DOE Patents [OSTI]

The present invention provides a heat-resistant electrical insulator adapted for joining laser housing portions, which insulator comprises: an annulus; a channel in the annulus traversing the circumference and length of the housing; at least two ports, each communicating with the channel and an outer surface of the housing; and an attachment for securely attaching each end of the annulus to a laser housing member.

Duncan, David B. (Auburn, CA)

1992-01-01T23:59:59.000Z

127

Insulator for laser housing  

DOE Patents [OSTI]

The present invention provides a heat-resistant electrical insulator adapted for joining laser housing portions, which insulator comprises: an annulus; a channel in the annulus traversing the circumference and length of the housing; at least two ports, each communicating with the channel and an outer surface of the housing; and an attachment for securely attaching each end of the annulus to a laser housing member. 3 figs.

Duncan, D.B.

1992-12-29T23:59:59.000Z

128

" 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"

129

" 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"

130

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

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

131

Population, Consumption & the Environment  

E-Print Network [OSTI]

12/11/2009 1 Population, Consumption & the Environment Alex de Sherbinin Center for International of carbon in 2001 · The ecological footprint, a composite measure of consumption measured in hectares kind of consumption is bad for the environment? 2. How are population dynamics and consumption linked

Columbia University

132

Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables  

Reports and Publications (EIA)

The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

2008-01-01T23:59:59.000Z

133

EcoHouse Program Overview  

Broader source: Energy.gov [DOE]

Provides an overview of the Indianapolis Better Buildings program, the EcoHouse program, and Indianapolis Neighborhood Housing partnership (INHP).

134

NREL: Housing Information  

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

135

,"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

136

,"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

137

Stand-by Electricity Consumption in Japanese Houses  

Science Journals Connector (OSTI)

In recent years as Japanese household electrical appliances have become more multi-functional and high performance, the number of appliances that consume a little electricity even when turned off has grown. There...

Hidetoshi Nakagami; Akio Tanaka

1999-01-01T23:59:59.000Z

138

" Million Housing Units, Final...  

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

1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

139

" Million Housing Units, Final...  

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

0 Household Demographics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

140

" Million Housing Units, Final...  

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

0 Fuels Used and End Uses in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

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

" Million Housing Units, Final...  

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

1 Household Demographics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

142

" Million Housing Units, Final...  

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

HC.1.11 Fuels Used and End Uses in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

143

" Million Housing Units, Final...  

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

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

144

" Million Housing Units, Final...  

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

8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

145

" Million Housing Units, Final...  

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

9 Household Demographics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

146

" Million Housing Units, Final...  

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

9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census...

147

" Million Housing Units, Final...  

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

9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

148

HOUSE PASSES ENERGY BILLS  

Science Journals Connector (OSTI)

Among the dissimilarities, the House bill would require that, by 2020, utilities generate 15% of their electricity from renewable sourceswind, solar, and hydropower. ...

JEFF JOHNSON

2007-08-13T23:59:59.000Z

149

" 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"

150

" 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"

151

" 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"

152

" 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

153

" 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"

154

" 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

155

" 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

156

" Column: Energy-Consumption Ratios;"  

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

" Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per...

157

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,

158

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,

159

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

160

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

E-Print Network [OSTI]

appropriate strategies of giving households' effective feedback on their energy consumption. This study, Energy efficiency. I. INTRODUCTION HE energy consumption of households in buildings attracts a lot in the housing sector. Energy consumption in buildings accounts for 39% of Sweden's total final energy

Beigl, Michael

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

Thermal Insulation of Houses  

Science Journals Connector (OSTI)

... THE Thermal Insulation (Dwellings) Bill which Mr. G. Nabarro introduced into the House of Commons on ... , sponsored by members of both major political parties, extends the principle of the Thermal Insulation (Industrial Buildings) Act of July 1957 to all new dwelling houses built in the ...

1958-02-22T23:59:59.000Z

162

Multiple pump housing  

DOE Patents [OSTI]

A fluid delivery system includes a first pump having a first drive assembly, a second pump having a second drive assembly, and a pump housing. At least a portion of each of the first and second pumps are located in the housing.

Donoho, II, Michael R. (Edelstein, IL); Elliott, Christopher M. (Metamora, IL)

2010-03-23T23:59:59.000Z

163

" Million U.S. Housing Units"  

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

0 Home Appliances Usage Indicators by Type of Housing Unit, 2005" " Million U.S. Housing Units" ,,"Type of Housing Unit" ," Housing Units (millions) ","Single-Family...

164

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.

165

Cooperative and Non-Cooperative house energy optimization in a Smart Grid perspective  

Science Journals Connector (OSTI)

Energy demand management for residential users is a promising research area within the Smart Grid revolution. The whole energy generation and distribution system performance can indeed be improved by optimizing the house energy management while still ... Keywords: energy consumption, noncooperative house energy optimization, smart grid perspective, energy demand management, energy generation, distribution system performance, optimal planning

A. Barbato; A. Capone; G. Carello; M. Delfanti; M. Merlo; A. Zaminga

2011-06-01T23:59:59.000Z

166

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

167

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

168

Understanding Energy Consumption of Sensor Enabled Applications on Mobile Phones  

E-Print Network [OSTI]

is with the House n Lab at MIT, Cambridge, MA 02142 USA. in energy efficiency of portable applications. We discussUnderstanding Energy Consumption of Sensor Enabled Applications on Mobile Phones Igor Crk, Member of this project is to measure and reduce the energy demand placed on mobile phones that monitor individuals

Gniady, Chris

169

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

E-Print Network [OSTI]

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

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

2004-01-01T23:59:59.000Z

170

Developing Alaskan Sustainable Housing Training  

Broader source: Energy.gov [DOE]

Hosted by the Association of Alaska Housing Authorities (AAHA), this three-day training event covers strategies and technical issues related to sustainable housing development.

171

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)

172

Pet House Sparrow  

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

173

ORNL Guest House  

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

174

Modeling households decisions on reconstruction of houses damaged by earthquakesJapanese case study  

Science Journals Connector (OSTI)

In this study, households decisions on reconstruction of damaged houses were modeled, using questionnaire data in Japan. Characteristics of households decisions were investigated using parameter estimation resu...

H. Sakakibara; H. Murakami; S. Esaki; D. Mori; H. Nakata

2008-02-01T23:59:59.000Z

175

Reduces electric energy consumption  

E-Print Network [OSTI]

consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings, and recycling. Alcoa provides the packaging, automotive, aerospace, and construction markets with a variety

176

Transportation Energy Consumption Surveys  

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

Energy Consumption (RTECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses...

177

Evaluating Network-Based DoS Attacks Under the Energy Consumption Perspective  

E-Print Network [OSTI]

with great opportunities for raising the target facility energy consumption and consequently its green house green, energy- sustainable computing paradigms has gained a lot of attention in both the researchEvaluating Network-Based DoS Attacks Under the Energy Consumption Perspective New security issues

Politècnica de Catalunya, Universitat

178

Principles of Passive House  

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

179

Cost Effective Sustainable Housing.  

E-Print Network [OSTI]

??Cost Effective Sustainable Housing The topic of research which was discussed throughout this study was an analysis of sustainable development between single-family and multi-family structures. (more)

Morton, Joshua

2009-01-01T23:59:59.000Z

180

" Million Housing Units, Final...  

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

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

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

" Million Housing Units, Final...  

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

3 Space Heating 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...

182

" Million Housing Units, Final...  

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

5 Fuels Used and End Uses in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,"Below Poverty Line2"...

183

" Million Housing Units, Final...  

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

7 Space Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Space...

184

" Million Housing Units, Final...  

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

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

185

" Million Housing Units, Final...  

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

4 Space Heating in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More...

186

" Million Housing Units, Final...  

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

6 Space Heating 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"...

187

Houses for Dorchester  

E-Print Network [OSTI]

The intent of this thesis is to develop a design for thirty units of housing responding to the development objectives of the Nuestra Comunidad Development Corporation (NCDC) in the Upham Corner district of Dorchester. It ...

Chalmers, Thomas C. (Thomas Clark)

1987-01-01T23:59:59.000Z

188

Indian Housing Training Conference  

Broader source: Energy.gov [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...

189

" 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

190

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.

191

Household vehicles energy consumption 1994  

SciTech Connect (OSTI)

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

192

" 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"

193

Energy budgets and masonry houses: a preliminary analysis of the comparative energy performance of masonry and wood-frame houses  

SciTech Connect (OSTI)

Energy Performance Standards require the establishment of energy budgets - maximum values of predicted building energy consumption assuming standard building operating conditions. Energy budgets based on minimizing life-cycle-costs to consumers have been computed in earlier reports. The prototype buildings for those studies used wood-frame construction. The energy performance of masonry houses is explored. Theoretical aspects of the modelling of masonry buildings on the DOE-2 program are discussed. Results of DOE-2 simulations are presented. Energy budgets which correspond to cost-minimizing masonry houses are found to be approximately equal to those for frame houses. The same energy performance requires only slightly less insulation in masonry walls than in frame walls for the climates studied. It is concluded that separate energy budgets for frame and masonry houses do not appear to be warranted.

Goldstein, D.B.; Levine, M.D.; Mass, J.

1980-09-01T23:59:59.000Z

194

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

195

Computer simulation of optimal functioning regimes with minimum fuel consumption for automotives  

Science Journals Connector (OSTI)

The paper deals with computer simulation that allows the calculus of operating regimes with minimum fuel consumption for road vehicles, using engines mechanical characteristics for power and consumption, charact...

Salvadore Mugurel Burciu

2014-10-01T23:59:59.000Z

196

Consumption of Methane and CO2 by Methanotrophic Microbial Mats from Gas Seeps of the Anoxic Black Sea  

Science Journals Connector (OSTI)

June 1, 2007 ERRATUM ERRATUM Consumption of Methane and CO2 by Methanotrophic Microbial Mats from Gas Seeps of the Anoxic Black Sea Tina Treude Victoria Orphan Katrin Knittel Armin Gieseke Christopher H. House Antje Boetius Max...

Tina Treude; Victoria Orphan; Katrin Knittel; Armin Gieseke; Christopher H. House; Antje Boetius

2007-06-01T23:59:59.000Z

197

Argonne Open House 2009  

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

198

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...

Adler, J.

199

Fuel Consumption and Emissions  

Science Journals Connector (OSTI)

Calculating fuel consumption and emissions is a typical offline analysis ... simulations or real trajectory data) and the engine speed (as obtained from gear-shift schemes ... as input and is parameterized by veh...

Martin Treiber; Arne Kesting

2013-01-01T23:59:59.000Z

200

Spermatophore consumption in a cephalopod  

Science Journals Connector (OSTI)

...Animal behaviour 1001 14 70 Spermatophore consumption in a cephalopod Benjamin J. Wegener...provide evidence of ejaculate and sperm consumption in a cephalopod. Through labelling...combination of female spermatophore consumption and short-term external sperm storage...

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

Food consumption trends and drivers  

Science Journals Connector (OSTI)

...original work is properly cited. Food consumption trends and drivers John Kearney...Government policy. A picture of food consumption (availability) trends and projections...largely responsible for these observed consumption trends are the subject of this review...

2010-01-01T23:59:59.000Z

202

Rice consumption in China  

E-Print Network [OSTI]

RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1989 Major Subject: Agricultural... Economics RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Approved as to style and content by: E, We ey F. Peterson (Chair of Committee) James E. Christiansen (Member) Carl Shaf (Member) Daniel I. Padberg (Head of Department) August 1989...

Lan, Jin

2012-06-07T23:59:59.000Z

203

Energy consumption testing of innovative refrigerator-freezers  

SciTech Connect (OSTI)

The high ambient temperature of the Canadian Standards Association (CSA) and the AHAM/DOE Refrigerator-Freezer Energy Consumption Standards is intended to compensate for the lack of door openings and other heat loads. Recently published results by Meier and Jansky (1993) indicate labeled consumption overpredicting typical field consumption by 15%. In-house field studies on conventional models showed labeled consumption overpredicting by about 22%. The Refrigerator-Freezer Technology Assessment (RFTA) test was developed to more accurately predict field consumption. This test has ambient temperature and humidity, door openings, and condensation control set at levels intended to typify Canadian household conditions. It also assesses consumption at exactly defined compartment rating temperatures. Ten conventional and energy-efficient production models were laboratory tested. The RFTA results were about 30% lower than labeled. Similarly, the four innovative refrigerator-freezer models, when field tested, also had an average of 30% lower consumption than labeled. Thus, the results of the limited testing suggest that the RFTA test may be a more accurate predictor of field use. Further testing with a larger sample is recommended. Experimental results also indicated that some innovative models could save up to 50% of the energy consumption compared with similar conventional units. The technologies that contributed to this performance included dual compressors, more efficient compressors and fan motors, off-state refrigerant control valve, fuzzy logic control, and thicker insulation. The larger savings were on limited production models, for which additional production engineering is required for full marketability.

Wong, M.T.; Howell, B.T.; Jones, W.R. [Ontario Hydro Technologies, Toronto, Ontario (Canada); Long, D.L. [Statistical Solutions, Mississauga, Ontario (Canada)

1995-12-31T23:59:59.000Z

204

"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"

205

"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"

206

"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"

207

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...

208

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

209

" 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"

210

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

211

THE WHITE HOUSE | Department of Energy  

Energy Savers [EERE]

THE WHITE HOUSE THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications FACT SHEET: U.S.-China Clean Energy Cooperation Announcements US-China Clean Energy Cooperation...

212

THE WHITE HOUSE | Department of Energy  

Office of Environmental Management (EM)

THE WHITE HOUSE THE WHITE HOUSE THE WHITE HOUSE More Documents & Publications Audit Report: IG-0473 Lapse Documents Inspection Report: IG-0397...

213

Sod House Furnishings  

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

214

Controlling House Sparrows  

E-Print Network [OSTI]

T he English or house sparrow is a very common resident in urban and suburban areas. Introduced from Europe, the sparrow has spread over the entire United States and is found almost everywhere in Texas. It is an aggressive, adaptable bird that nests...

Texas Wildlife Services

2008-04-15T23:59:59.000Z

215

Housing services Zinfandel Hall  

E-Print Network [OSTI]

resources, the library, and the Internet. The Community has its own dining hall, swimming pools, study roomsHousing services Zinfandel Hall (707) 664-2541 Fax: (707) 664-4158 e-mail: ssu hall suites and campus apartments, all located just seconds from the main campus classroom buildings

Ravikumar, B.

216

White House honors Los Alamos  

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

White House honors Los Alamos physicist's early career work July 10, 2009 Los Alamos, New Mexico, July 10, 2009-The White House today announced that Los Alamos National Laboratory...

217

Privatization of utilities in government owned housing: A model approach. Master`s thesis  

SciTech Connect (OSTI)

This thesis examines the option of privatizing electricity and gas utilities, requiring residents of Navy Family Housing (NFH) to pay for all consumption. To assist in the payment, an Utility Housing Allowance (UHA) would be provided to residents based on the average consumption of local Private Sector Housing (PSH) residents. The goal of this thesis is to determine if implementing an UHA would reduce the overall energy consumption in NFH. Specifically, it determines the historical usage of electricity and gas in the Naval Postgraduate School`s La Mesa housing village (LMV) area and the local PSH areas. It then develops forecasting models for both areas to predict the future consumption of utilities, sets a baseline consumption rate for LMV residents, and identifies the savings that would be generated from implementing the UHA program. After validating the forecasting models and comparing costs under the UHA concept, this study concludes that the UHA concept would save approximately $268,300 annually at LMV alone. Additionally, in meeting the Navy`s Year 2005 goal of reducing energy consumption by 30% per square foot, by implementing an UHA concept, the projected savings in LMV alone are approximately 50% per square foot/month. Although the study focuses on LMV, it is assumed that similar energy inefficiencies are being demonstrated in other NFH areas. Therefore, this study provides the necessary steps to conduct comparative analysis in other NFH areas.

Autrey, J.L.

1997-06-01T23:59:59.000Z

218

Queens College Louis Armstrong House  

E-Print Network [OSTI]

Queens College Louis Armstrong House Louis Armstrong House Museum "From a humble, two-room shack Armstrong. Armstrong lived for nearly three decades in the modest, brick-fronted Corona, Queens home that today is the Louis Armstrong House Museum, which is partnered with Queens College, and open

Rosen, Jay

219

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

220

Which Reduces Vehicle Travel More: Jobs-Housing Balauce or Retail-Housing Mixing?  

E-Print Network [OSTI]

More: Jobs-Housing Balance or Retail-Housing Mixing? 2. TheMore: Jobs-Housing Balauce or Retail-Housing Mixing? Robertto housing or bringing retail and consumer services closer

Cervero, Robert; Duncan, Michael

2008-01-01T23:59:59.000Z

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

Public Housing: A Tailored Approach to Energy Retrofits  

SciTech Connect (OSTI)

Over one million HUD-supported public housing units provide rental housing for eligible low-income families across the country. A survey of over 100 PHAs across the country indicated that there is a high level of interest in developing low cost solutions that improve energy efficiency and can be seamlessly included in the refurbishment process. Further, PHAs, have incentives (both internal and external) to reduce utility bills. ARIES worked with two public housing authorities (PHAs) to develop packages of energy efficiency retrofit measures the PHAs can cost effectively implement with their own staffs in the normal course of housing operations at the time when units are refurbished between occupancies. The energy efficiency turnover protocols emphasized air infiltration reduction, duct sealing and measures that improve equipment efficiency. ARIES documented implementation in ten housing units. Reductions in average air leakage were 16-20% and duct leakage reductions averaged 38%. Total source energy consumption savings was estimated at 6-10% based on BEopt modeling with a simple payback of 1.7 to 2.2 years. Implementation challenges were encountered mainly related to required operational changes and budgetary constraints. Nevertheless, simple measures can feasibly be accomplished by PHA staff at low or no cost. At typical housing unit turnover rates, these measures could impact hundreds of thousands of unit per year nationally.

Dentz, J.; Conlin, F.; Podorson, D.; Alaigh, K.

2014-06-01T23:59:59.000Z

222

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

223

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

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

Not Available

1993-12-09T23:59:59.000Z

224

A Real-World, Simple Wireless Sensor Network for Monitoring Electrical Energy Consumption  

Science Journals Connector (OSTI)

We present a simple, commercial WSN for monitoring electrical energy consumption. We discuss WSN characteristics, practical problems, constraints and design decisions which mainly are motivated by our concrete...

Cornelia Kappler; Georg Riegel

2004-01-01T23:59:59.000Z

225

Fermilab Family Open House  

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

226

,"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

227

,"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"

228

,"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

229

,"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

230

,"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

231

,"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

232

Flying Squirrels and Houses  

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

233

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

234

Effect of Climates and Building Materials on House Wall Thermal Performance  

Science Journals Connector (OSTI)

The residential housing sectors consume a large amount of fossil fuel energy. Hence the sector is responsible for huge amount of greenhouse gas emission to the atmosphere. Most energy used in the residential housing sector is mainly for space heating and cooling. In order to reduce the energy consumption in the housing sector, energy smart house wall system is required to develop. It is difficult to achieve higher thermal efficiency by using current building wall systems with their construction materials and methods. Although some studies on different aspects of residential housing were reported in the open literature, scant information is available on energy smart house wall systems for the main stream housing. Therefore, the primary objective of this study is to investigate several new house wall systems using various construction materials in order achieve higher thermal efficiency for ongoing heating and cooling. Thermal energy performance modeling was undertaken for two current and four new house wall systems for varied climate conditions across Australia. The findings revealed that at new house wall systems can provide higher energy efficiency and the reduction of greenhouse gas emission for major locations in Australia.

Fayez Aldawi; Firoz Alam; Iftekhar Khan; Mohamed Alghamdi

2013-01-01T23:59:59.000Z

235

The New York Power Authority`s energy-efficient refrigerator program for the New York City Housing Authority -- 1997 savings evaluation  

SciTech Connect (OSTI)

This document describes the estimation of the annual energy savings achieved from the replacement of 20,000 refrigerators in New York City Housing Authority (NYCHA) public housing with new, highly energy-efficient models in 1997. The US Department of Housing and Urban Development (HUD) pays NYCHA`s electricity bills, and agreed to reimburse NYCHA for the cost of the refrigerator installations. Energy savings over the lifetime of the refrigerators accrue to HUD. Savings were demonstrated by a metering project and are the subject of the analysis reported here. The New York Power Authority (NYPA) identified the refrigerator with the lowest life-cycle cost, including energy consumption over its expected lifetime, through a request for proposals (RFP) issued to manufacturers for a bulk purchase of 20,000 units in 1997. The procurement was won by Maytag with a 15-ft{sup 3} top-freezer automatic-defrost refrigerator rated at 437 kilowatt-hours/year (kWh/yr). NYCHA then contracted with NYPA to purchase, finance, and install the new refrigerators, and demanufacture and recycle materials from the replaced units. The US Department of Energy (DOE) helped develop and plan the project through the ENERGY STAR{reg_sign} Partnerships program conducted by its Pacific Northwest National Laboratory (PNNL). PNNL designed the metering protocol and occupant survey used in 1997, supplied and calibrated the metering equipment, and managed and analyzed the data collected by NYPA. The objective of the 1997 metering study was to achieve a general understanding of savings as a function of refrigerator label ratings, occupant effects, indoor and compartment temperatures, and characteristics (such as size, defrost features, and vintage). The data collected in 1997 was used to construct models of refrigerator energy consumption as a function of key refrigerator and occupant characteristics.

Pratt, R.G.; Miller, J.D.

1998-09-01T23:59:59.000Z

236

Data Center Power Consumption  

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

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

237

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

238

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

239

"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"

240

"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"

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

"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"

242

Military housing foam application and analysis  

SciTech Connect (OSTI)

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

243

" 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"

244

" 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

245

" 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"

246

" 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

247

" 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

248

" 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

249

The 2005 Solar D House  

E-Print Network [OSTI]

. UT Solar D House This isnt the only technology that makes life easier in this house. Besides a bevy of energy efficient appliances and lighting, which reduce energy costs, theres so much more. Even the appliances contribute, with features...-profit, where the house will be used as a learning center for low-income families as transitional housing. As part of their mission statement, the UT SolarD Team hopes to inspire the Austin public about the benefits of solar-powered, energy...

Garrison, M.

2006-01-01T23:59:59.000Z

250

Greenbuilt Retrofit Test House Final Report  

SciTech Connect (OSTI)

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.

2014-06-01T23:59:59.000Z

251

"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"

252

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

253

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

254

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.

255

THE WHITE HOUSE  

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

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

256

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"

257

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"

258

Information House Committee on Transportation  

E-Print Network [OSTI]

. The energy efficiency and environmental advantage of rail over trucks are well established in terms Information For the House Committee on Transportation House Committee with the Port of Houston ranking as the largest port in the US in terms of import tonnage. The Gulf

259

Viable Algae in House Dust  

Science Journals Connector (OSTI)

... two culture media: Bristol8 and modified Chu No. 10 (ref. 9). Viable algae were cultured from all the dust samples taken from forty -one homes. In these ... 1). Samples from three commercial producers of house dust allergenic extract also revealed viable algae (Table 2). In general, the algal organisms found in house dust used in ...

I. LEONARD BERNSTEIN; ROBERT S. SAFFERMAN

1970-08-22T23:59:59.000Z

260

Software and House Requirements Engineering  

E-Print Network [OSTI]

a requirements engineer who puts her knowledge of software construction together with her creativity to come upSoftware and House Requirements Engineering: Lessons Learned in Combatting Requirements Creep creativity to try to come up with a plan for a house that will meet the customer's requirements. The customer

Berry, Daniel M.

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

The European Passive House Concept  

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

262

Affordable Housing Fact Book Chicago Rehab Network 4. Converting  

E-Print Network [OSTI]

Vacant Owner Renter White Hispanic Other African American Affordable Housing Fact Book Chicago/Ethnicity: Largely White, racial mix Household Income: $39,599, increased 10.4% Cluster Characteristics Converting a substantial number of households in Converting commu- nities continue to be rent burdened as rents increased

Illinois at Chicago, University of

263

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

264

Multi-Family Housing Loans and Grants  

Broader source: Energy.gov [DOE]

Multi-family housing programs offer rural rental housing loans to provide affordable multi-family rental housing for very low-, low-, and moderate-income families, the elderly, and persons with...

265

PPPL Open House | Princeton Plasma Physics Lab  

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

June 1, 2013, 9:00am to 4:00pm Open House at Princeton Plasma Physics Laboratory PPPL Open House Hot Plasma, Cool Science: Princeton Plasma Physics Lab Open House on June 1 Mark...

266

Open House | Princeton Plasma Physics Lab  

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

Contact Us Open House PPPL Open House Saturday, June 1 9 a.m. to 4 p.m. Princeton Plasma Physics Laboratory 100 Stellarator Road Princeton, NJ, 08540 OPEN HOUSE PROGRAM BOOKLET...

267

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

Science Journals Connector (OSTI)

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

Francesco Pica; Gabriella Pistone; Riccardo Roda

1988-01-01T23:59:59.000Z

268

Dynamic online optimization of a house heating system in a fluctuating energy price  

E-Print Network [OSTI]

Dynamic online optimization of a house heating system in a fluctuating energy price scenario University of Science and Technology (NTNU), Trondheim, Norway Abstract: We consider dynamic optimization of the energy consumption in a building with energy storage capabilities. The goal is to find optimal policies

Skogestad, Sigurd

269

Analysis of Air Leakage Measurements of US Houses  

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

270

Building Technologies Office: House Simulation Protocols Report  

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

271

Building Technologies Office: Housing Innovation Awards  

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

272

" Million U.S. Housing Units"  

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

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

273

" Million U.S. Housing Units"  

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

0 Home Appliances Usage Indicators by Year of Construction, 2005" " Million U.S. Housing Units" ,,"Year of Construction" ,"Housing Units (millions)" ,,"Before 1940","1940 to...

274

Better Buildings Challenge Expands to Multifamily Housing  

Broader source: Energy.gov [DOE]

The U.S. Departments of Energy and Housing and Urban Development expanded the Better Buildings Challenge to multifamily housing such as apartments and condominiums.

275

Before the House Subcommittee on Investigations & Oversight ...  

Energy Savers [EERE]

House Subcommittee on Investigations & Oversight - Committee on Science, Space, and Technology Before the House Subcommittee on Investigations & Oversight - Committee on Science,...

276

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

277

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

278

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...

279

Manufacturing Consumption of Energy 1994  

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

1 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...

280

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

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

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

SciTech Connect (OSTI)

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

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

2004-02-01T23:59:59.000Z

282

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

E-Print Network [OSTI]

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...

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

283

" 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

284

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.

285

Engineer in the White House  

Science Journals Connector (OSTI)

... of Staff at the White House is a powerful figure. The present incumbent, Mr John Sununu, has the distinction of having himself run for elected office and of being ...

John Maddox

1990-03-08T23:59:59.000Z

286

White House Tribal Nations Conference  

Broader source: Energy.gov [DOE]

On December 5, 2012, President Obama will host representatives invited from each of the 566 federally recognized American Indian tribes, and Alaska Native Villages, at the 2012 White House Tribal...

287

" 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

288

" 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"

289

" 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

290

" 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

291

" 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

292

" 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

293

" 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

294

" 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"

295

" 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

296

" 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"

297

" 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"

298

" 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

299

" 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

300

" 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

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

" 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"

302

World energy consumption  

SciTech Connect (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

303

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

304

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

305

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

306

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

307

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).

308

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

309

Projecting household energy consumption within a conditional demand framework  

SciTech Connect (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

310

Projecting household energy consumption within a conditional demand framework  

SciTech Connect (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.

1991-01-01T23:59:59.000Z

311

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

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

312

US ENC IL Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

313

Fuel Consumption | ornl.gov  

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

Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Road Load Equation Jan 15 2014 11:30 AM - 12:30 PM Glen E. Johnson Tennessee Tech University, Cookeville Energy and Transportation Science Division Seminar National Transportation Research Center, Room C-04 CONTACT : Email: Andreas Malikopoulos Phone:865.382.7827 Add to Calendar SHARE Ambitious goals have been set to reduce fuel consumption and CO2 emissions over the next generation. Starting from first principles, we will derive relations to connect fuel consumption and carbon dioxide emissions to a vehicle's road load equation. The model suggests approaches to facilitate achievement of future fuel and emissions targets. About the speaker: Dr. Johnson is a 1973 Mechanical Engineering graduate of Worcester

314

US ENC IL Site Consumption  

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

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

315

US ENC MI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

316

US ENC MI Site Consumption  

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

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

317

Manufacturing Consumption of Energy 1994  

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

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

318

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

319

Energy Consumption in Access Networks  

Science Journals Connector (OSTI)

We present a comparison of energy consumption of access networks. We consider passive optical networks, fiber to the node, point-to-point optical systems and WiMAX. Optical access...

Baliga, Jayant; Ayre, Robert; Sorin, Wayne V; Hinton, Kerry; Tucker, Rodney S

320

The Wealth-Consumption Ratio  

E-Print Network [OSTI]

We derive new estimates of total wealth, the returns on total wealth, and the wealth effect on consumption. We estimate the prices of aggregate risk from bond yields and stock returns using a no-arbitrage model. Using these ...

Verdelhan, Adrien Frederic

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

Progressive consumption : strategic sustainable excess  

E-Print Network [OSTI]

Trends in the marketplace show that urban dwellers are increasingly supporting locally produced foods. This thesis argues for an architecture that responds to our cultures consumptive behaviors. Addressing the effects of ...

Bonham, Daniel J. (Daniel Joseph MacLeod)

2007-01-01T23:59:59.000Z

322

Energy consumption of building 39  

E-Print Network [OSTI]

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

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

323

Energy Consumption Profile for Energy  

E-Print Network [OSTI]

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

324

Manufacturing Consumption of Energy 1994  

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

S Y M n i 1 y 2 i (W i ) (W i 1) , Energy Information Administration, Manufacturing Energy Consumption Survey: Methodological Report 1985. Although this report describes 44...

325

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network [OSTI]

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

326

Optimal consumption strategies under model uncertainty  

E-Print Network [OSTI]

Optimal consumption strategies under model uncertainty Christian Burgert, Ludger R of finding optimal consumption strategies in an incomplete semimartingale market model under model uncertainty. The quality of a consumption strategy is measured by not only one probability measure

Rüschendorf, Ludger

327

On-site Housing Rates | Staff Services  

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

328

Table HC1.1.1 Housing Unit Characteristics by  

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

"Stone",1,0.9,3.7,1.4,2.4,1.3,1.6,1.4 "Other",1.5,1.4,4,1.6,3,1.7,1.7,1.5 "FoundationBasement of Single-" "Family Units and Apartments in" "2 to 4 Unit Buildings" "(more...

329

OpenEI - Electricity Consumption  

Open Energy Info (EERE)

Annual Electricity Annual Electricity Consumption (1980 - 2009) http://en.openei.org/datasets/node/877 Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). License

Type of License:  Other (please specify below)
Source of data

330

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

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

Not Available

1994-12-01T23:59:59.000Z

331

" 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

332

Food production and consumption near the Savannah River Site  

SciTech Connect (OSTI)

Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study's scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

Hamby, D.M.

1991-01-01T23:59:59.000Z

333

Food production and consumption near the Savannah River Site  

SciTech Connect (OSTI)

Routine operations at the Savannah River Site (SRS) result in the release of radionuclides to the atmosphere and to the Savannah River. The resulting radiological doses to the off-site maximum individual and the 80-km population are estimated on a yearly basis. These estimates are generated using dose models prescribed in the NRC Reg. Guide 1.109 for the commercial nuclear power industry. A study of land and water usage characteristics in the region of the Savannah River Site has been conducted to determine site-specific values of the NRC dose model parameters. The study`s scope included local characteristics of meat, milk, vegetable production; Savannah River recreational activities and fish harvests; meat, milk, vegetable, and seafood consumption rates; and Savannah River drinking-water populations. Average and maximum consumption rates of beef, milk, vegetables, and fish have been determined for individuals residing in the southern United States. The study suggest that many of the consumption rates provided by the NRC may not be appropriate for residents of the South. Average consumption rates are slightly higher than the defaults provided by the NRC. Maximum consumption rates, however, are typically lower than NRC values. Agricultural productivity in the SRS region was found to be quite different than NRC recommendations. Off-site doses have been predicted using both NRC and SRS parameter values to demonstrate the significance of site-specific data.

Hamby, D.M.

1991-12-31T23:59:59.000Z

334

Commercial Buildings Energy Consumption and Expenditures 1992...  

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

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

335

Demonstrating Fuel Consumption and Emissions Reductions with...  

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

Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control Demonstrating Fuel Consumption and Emissions Reductions with Next Generation...

336

New York: Weatherizing Westbeth Reduces Energy Consumption |...  

Energy Savers [EERE]

York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

337

Energy Information Administration - Commercial Energy Consumption...  

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

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

338

Energy Information Administration - Commercial Energy Consumption...  

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

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

339

Energy Information Administration - Commercial Energy Consumption...  

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

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

340

Energy Information Administration - Commercial Energy Consumption...  

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

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

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

Energy Information Administration - Commercial Energy Consumption...  

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

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

342

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

343

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

344

Energy Information Administration - Commercial Energy Consumption...  

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

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

345

Energy Information Administration - Commercial Energy Consumption...  

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

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

346

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

347

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

348

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

349

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

350

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

351

Energy Information Administration - Commercial Energy Consumption...  

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

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

352

Energy Information Administration - Commercial Energy Consumption...  

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

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

353

Energy Information Administration - Transportation Energy Consumption...  

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

Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

354

The effects of low income housing tax credit developments on neighborhoods  

Science Journals Connector (OSTI)

This paper evaluates the impacts of new housing developments funded with the Low Income Housing Tax Credit (LIHTC), the largest federal project based housing program in the U.S., on the neighborhoods in which they are built. A discontinuity in the formula determining the magnitude of tax credits as a function of neighborhood characteristics generates pseudo-random assignment in the number of low income housing units built in similar sets of census tracts. Tracts where projects are awarded 30% higher tax credits receive approximately six more low income housing units on a base of seven units per tract. These additional new low income developments cause homeowner turnover to rise, raise property values in declining areas and reduce incomes in gentrifying areas in neighborhoods near the 30th percentile of the income distribution. LIHTC units significantly crowd out nearby new rental construction in gentrifying areas but do not displace new construction in stable or declining areas.

Nathaniel Baum-Snow; Justin Marion

2009-01-01T23:59:59.000Z

355

Design features which influence pollutant emissions and fuel consumption in four-stroke engines  

Science Journals Connector (OSTI)

The efficiency of an internal-combustion engine and, hence, its specific fuel consumption are largely dependent on the process characteristics ... . As the internal-combustion process in the engine cannot really ...

Univ.-Prof. Dr. Ing. Fred Schfer

1995-01-01T23:59:59.000Z

356

The Impact of Using Derived Fuel Consumption Maps to Predict...  

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

The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

357

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

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

358

Before the House Natural Resources Subcommittee on Water and...  

Energy Savers [EERE]

House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water...

359

Before the House Natural Resources Subcommittee on Water and...  

Energy Savers [EERE]

the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on Water and Power Before the House Natural Resources Subcommittee on...

360

2014 Housing Innovation Awards DOE Challenge Home Application...  

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

2014 Housing Innovation Awards DOE Challenge Home Application 2014 Housing Innovation Awards DOE Challenge Home Application The U.S. Department of Energy's Housing Innovation...

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

Building America Whole-House Solutions for New Homes: Affordable...  

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

New Homes: Affordable Cold Climate Infill Housing with Hybrid Insulation Approach Building America Whole-House Solutions for New Homes: Affordable Cold Climate Infill Housing with...

362

Building America Whole-House Solutions for Existing Homes: Islip...  

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

Islip Housing Authority Energy Efficiency Turnover Protocols, Islip, New York Building America Whole-House Solutions for Existing Homes: Islip Housing Authority Energy Efficiency...

363

Before House Committee on Science, Space, and Technology | Department...  

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

House Committee on Science, Space, and Technology Before House Committee on Science, Space, and Technology Before House Committee on Science, Space, and Technology By: Peter Lyons...

364

Before the House Science, Space, and Technology Committee | Department...  

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

the House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee Before the House Science, Space, and Technology Committee By: David...

365

Before the House Science and Technology Committee | Department...  

Energy Savers [EERE]

House Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Arun Majumdar, Director Advanced...

366

Before House Committee on Science, Space and Technology | Department...  

Office of Environmental Management (EM)

House Committee on Science, Space and Technology Before House Committee on Science, Space and Technology Before House Committee on Science, Space and Technology By: Secretary...

367

Before the House Science and Technology Committee | Department...  

Office of Environmental Management (EM)

House Science and Technology Committee Before the House Science and Technology Committee Before the House Science and Technology Committee By: Warren F. Miller Jr., Assistant...

368

Before the House Science and Technology Subcommittee on Energy...  

Office of Environmental Management (EM)

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...

369

Just Suppose: Housing Subsidies for Low Income Renters  

E-Print Network [OSTI]

bonds Low-income housing tax credit Homeowner Multifamilybonds Low-income housing tax credit Fiscal year Fiscal yearthe Low Income Housing Tax Credit (LIHTC) program to provide

Quigley, John M.

2007-01-01T23:59:59.000Z

370

White House Initiative on Historically Black Colleges and Universities...  

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

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...

371

Before House Subcommittee on Water and Power - Committee on Natural...  

Office of Environmental Management (EM)

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...

372

Kevin Smith Sutherland House 234  

E-Print Network [OSTI]

Kevin Smith Sutherland House 234 PMB 3342 Nashville, TN 37235 January 27, 2010 Mr. Scott at Kevin.m.smith@vanderbilt.edu or by phone at (543)3843909. Thank you for your consideration. Sincerely, Kevin Smith The cover letter needs to be in business letter format...this includes

Bordenstein, Seth

373

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

Gasoline and Diesel Fuel Update (EIA)

... 13.2 10.2 0.6 0.3 1.1 1.1 Table HC2.10 Home Appliances Usage Indicators by Type of Housing Unit, 2005 Housing Units (millions) Single-Family Units...

374

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

375

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

376

Lockout housing and sleeve for safety valve  

SciTech Connect (OSTI)

This patent describes apparatus for use in a subsurface valve. It comprises a lockout housing; and a lockout sleeve.

Dickson, R.L.; Davis, G.R.

1992-07-07T23:59:59.000Z

377

Inside the White House: Solar Panels  

Broader source: Energy.gov [DOE]

Go inside the White House and learn about the installation of solar panels on the roof of the residence.

378

Environmental Effects of In-House Windrow Composting of Poultry Litter  

E-Print Network [OSTI]

Conservation Board and U.S. Environmental Protection Agency Texas Water Resources Institute TR-459 December 2013 Environmental Effects of In-House Windrow Composting of Poultry Litter TSSWCB PROJECT 09-05 Prepared for: TEXAS STATE SOIL... in Central Texas. Specifically, litter E. coli, soil quality, runoff water quality, and odor concentration and characteristics were evaluated. Methods In-House Windrow Composting of Broiler Litter In this demonstration, broiler litter was treated...

Wagner, K.; Brown, M.; Gregory, L.; Harmel, D.; Coufal, C.; Gentry, T.

2014-01-01T23:59:59.000Z

379

BIPV technology application: Highlighting advances, tendencies and solutions through Solar Decathlon Europe houses  

Science Journals Connector (OSTI)

Abstract One of the main characteristics of the Solar Decathlon Europe houses is that they run exclusively on solar energy, as part of the requirements of this worldwide competition for universities. This obligation stimulates the university Teams to search for innovative solutions to integrate photovoltaic technologies in their houses, searching for the best options that combine design with energy efficiency, energy performance and construction. The main tendencies, advances and solutions are presented.

Joara Cronemberger; Monica Almagro Corpas; Isabel Cern; Estefana Caamao-Martn; Sergio Vega Snchez

2014-01-01T23:59:59.000Z

380

Today in Energy - commercial consumption & efficiency  

Reports and Publications (EIA)

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

2028-01-01T23:59:59.000Z

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.


381

Federal Housing Administration's Energy Efficient Mortgage Program  

Broader source: Energy.gov [DOE]

Describes the U.S. Department of Housing and Urban Development Energy Efficient Mortgage Program which helps homebuyers or homeowners save money on utility bills by enabling them to finance the cost of adding energy efficiency features to new or existing housing. Authors: U.S. Department of Housing and Urban Development

382

White House Forum on Minorites in Energy  

Broader source: Energy.gov [DOE]

On November 13, 2013, the Department of Energy and the White House Office of Science and Technology Policy, the Council for Environmental Quality, and the White House Office of Public Engagement co-hosted the White House Forum on Minorities in Energy. The event included the announcement of the Ambassadors for the Minorities in Energy Initiative.

383

US ENC WI Site Consumption  

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

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

384

US ENC WI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

385

US WSC TX Site Consumption  

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

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

386

US WSC TX Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

387

US ESC TN Site Consumption  

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

ESC TN ESC TN Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ESC TN Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US ESC TN Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US ESC TN Expenditures dollars ELECTRICITY ONLY average per household * Tennessee households consume an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33% higher than the national average and among the highest in the nation, but spending for electricity is closer to average due to relatively low electricity prices. * Tennessee homes are typically newer, yet smaller in size, than homes in other parts of the country.

388

Islip Housing Authority Energy Efficiency Turnover Protocols, Islip, New York (Fact Sheet)  

SciTech Connect (OSTI)

More than 1 million HUD-supported public housing units provide rental housing for eligible low-income families across the country. A survey of over 100 PHAs across the country indicated that there is a high level of interest in developing low cost solutions that improve energy efficiency and can be seamlessly included in the refurbishment process. Further, PHAs, have incentives (both internal and external) to reduce utility bills. ARIES worked with two public housing authorities (PHAs) to develop packages of energy efficiency retrofit measures the PHAs can cost effectively implement with their own staffs in the normal course of housing operations at the time when units are refurbished between occupancies. The energy efficiency turnover protocols emphasized air infiltration reduction, duct sealing and measures that improve equipment efficiency. ARIES documented implementation in ten housing units. Reductions in average air leakage were 16-20% and duct leakage reductions averaged 38%. Total source energy consumption savings was estimated at 6-10% based on BEopt modeling with a simple payback of 1.7 to 2.2 years. Implementation challenges were encountered mainly related to required operational changes and budgetary constraints. Nevertheless, simple measures can feasibly be accomplished by PHA staff at low or no cost. At typical housing unit turnover rates, these measures could impact hundreds of thousands of unit per year nationally.

Not Available

2014-08-01T23:59:59.000Z

389

Table 3.3 Fuel Consumption, 2010;  

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

3 Fuel Consumption, 2010; 3 Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,148 314 6 53 446 14 25 Q 291 20-49 1,018 297 13 22 381 18 97 5 185 50-99 1,095 305 7 13 440 6 130 9 186 100-249 1,728 411 16 11 793 7 131 7 353 250-499 1,916 391 16 11 583 3 185 5 722 500 and Over 7,323 720 21 21 2,569 21 300 348 3,323 Total 14,228 2,437 79 130 5,211 69 868 376 5,059 Employment Size Under 50 1,149 305 12 45 565 21 31

390

Fuel consumption model for FREFLO  

E-Print Network [OSTI]

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

391

Table 2a. Electricity Consumption and Electricity Intensities, per Square  

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

assistance viewing this page, please call (202) 586-8800. Energy Information Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and Vacant Floorspace, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption (trillion Btu) Electricity Intensities (thousand Btu) In Total Floor space In Occupied Floor space In Vacant Floor space Per Square Foot Per Occupied Square Foot Per Vacant Square Foot All Buildings 4,590 2,600 2,563 37 39 42 8 Building Floorspace (Square Feet) 1,001 to 5,000 2,532 334 331 3 48 51 6 5,001 to 10,000 946 250 247 3 36 38 6 10,001 to 25,000

392

The Development of Improved Energy Efficient Housing for Thailand Utilizing Renewable Energy Technology  

E-Print Network [OSTI]

SimBuild 2004, IBPSA-USA National Conference, Boulder, CO, August 4-6th, 2004, p. 1 THE DEVELOPMENT OF IMPROVED ENERGY EFFICIENT 1 HOUSING FOR THAILAND UTILIZING RENEWABLE ENERGY TECHNOLOGY 2 3... The paper reports on the results of research to reduce energy consumption in residential buildings in a hot and humid climate region (Thailand) using efficient architectural building components, energy efficient building systems, and renewable energy...

Rasisuttha, S.; Haberl, J.

393

Puerto Rico House Tours Report  

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

394

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

395

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 using an overhead crane. The 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.

Ross, Maurice J. (Pocatello, ID); Zaladonis, Larry A. (Idaho Falls, ID)

1988-09-27T23:59:59.000Z

396

Evergreen Sustainable Development Standard for Affordable Housing |  

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

Evergreen Sustainable Development Standard for Affordable Housing Evergreen Sustainable Development Standard for Affordable Housing Evergreen Sustainable Development Standard for Affordable Housing < Back Eligibility Low-Income Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Appliances & Electronics Construction Design & Remodeling Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Solar Buying & Making Electricity Program Info State District of Columbia Program Type Green Building Incentive Provider Housing Trust Fund The Washington State Department of Commerce created the Evergreen Sustainable Development Standard, a set of green building criteria that is required for any affordable housing project applying for state funds

397

New Developments in Hog Houses and Equipment.  

E-Print Network [OSTI]

for the central house are the half-monitor and the gable-roof. The half-monitor house should be set lengthwise east and west so that the windows face south, while the gable-roof house should be set lengthwise north and south so that the rays of the sun... will shine through the sky-light windows on the east side in the morning, and those on the west side in the afternoon. The central house is better adapted for one who is in the hog business on a larger scale than the average. This house permits a number...

Hale, Fred; Smith, H. P. (Harris Pearson)

1933-01-01T23:59:59.000Z

398

The house of the future  

ScienceCinema (OSTI)

Learn what it will take to create tomorrow's net-zero energy home as scientists reveal the secrets of cool roofs, smart windows, and computer-driven energy control systems. The net-zero energy home: Scientists are working to make tomorrow's homes more than just energy efficient -- they want them to be zero energy. Iain Walker, a scientist in the Lab's Energy Performance of Buildings Group, will discuss what it takes to develop net-zero energy houses that generate as much energy as they use through highly aggressive energy efficiency and on-site renewable energy generation. Talking back to the grid: Imagine programming your house to use less energy if the electricity grid is full or price are high. Mary Ann Piette, deputy director of Berkeley Lab's building technology department and director of the Lab's Demand Response Research Center, will discuss how new technologies are enabling buildings to listen to the grid and automatically change their thermostat settings or lighting loads, among other demands, in response to fluctuating electricity prices. The networked (and energy efficient) house: In the future, your home's lights, climate control devices, computers, windows, and appliances could be controlled via a sophisticated digital network. If it's plugged in, it'll be connected. Bruce Nordman, an energy scientist in Berkeley Lab's Energy End-Use Forecasting group, will discuss how he and other scientists are working to ensure these networks help homeowners save energy.

None

2010-09-01T23:59:59.000Z

399

US NE MA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

400

Rail Transit and Energy Consumption  

Science Journals Connector (OSTI)

...Transit and Energy Consumption In a recent issue...D.C. 20418 The Diesel's Advantages It...p. 517). The diesel car, while it has...Other types of engine can be made to meet...catalysts by using leaded fuel because it is 3 to...politically unpopular. The diesel car requires no add-on...

CHARLES A. LAVE

1977-09-02T23:59:59.000Z

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.


401

US NE MA Site Consumption  

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

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

402

Whole-House Ventilation | Department of Energy  

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

Whole-House Ventilation Whole-House Ventilation Whole-House Ventilation May 30, 2012 - 2:37pm Addthis A whole-house ventilation system with dedicated ducting in a new energy-efficient home. | Photo courtesy of ©iStockphoto/brebca. A whole-house ventilation system with dedicated ducting in a new energy-efficient home. | Photo courtesy of ©iStockphoto/brebca. What does this mean for me? Whole-house ventilation is critical in an energy-efficient home to maintain adequate indoor air quality and comfort. The whole-house ventilation system you choose will depend upon your climate, budget, and the availability of experienced contractors in your area. Energy-efficient homes -- both new and existing -- require mechanical ventilation to maintain indoor air quality. There are four basic mechanical

403

Our Hand in Greening the White House  

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

Our Hand in Greening the White House (See also the Greening of Our House) "For as long as I live in the White House, I want Americans to see it not only as a symbol of clean government, but also a clean environment. We're going to identify what it takes to make the White House a model for efficiency and waste reduction, and then we're going to get the job done. . . Before I can ask you to do the best you can in your house, I ought to make sure I'm doing the best I can in my house." -President Bill Clinton, Earth Day, 1994 In an effort to provide leadership by example, the Greening of the White House project is bringing new technology, enlightened operations and management practices, and revised procurement procedures to the First Residence. Modern information technologies (e.g., multimedia) will make

404

House Simulation Protocols Report | Department of Energy  

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

Residential Buildings » Building America » House Simulation Residential Buildings » Building America » House Simulation Protocols Report House Simulation Protocols Report This image shows a cover of a report titled Building America House Simulation Protocols. The Building America logo is shown in the lower left corner of the report cover. 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 existing homes. These protocols are preloaded into BEopt and use a consistent approach for defining a reference building, so that all projects can be compared to each other. The steps involved in conducting performance analysis include: Defining the appropriate reference building Various climate regions, house sizes, and house ages require slightly

405

Chapter 2. Vehicle Characteristics  

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

2. Vehicle Characteristics 2. Vehicle Characteristics Chapter 2. Vehicle Characteristics U.S. households used a fleet of nearly 157 million vehicles in 1994. Despite remarkable growth in the number of minivans and sport-utility vehicles, passenger cars continued to predominate in the residential vehicle fleet. This chapter looks at changes in the composition of the residential fleet in 1994 compared with earlier years and reviews the effect of technological changes on fuel efficiency (how efficiently a vehicle engine processes motor fuel) and fuel economy (how far a vehicle travels on a given amount of fuel). Using data unique to the Residential Transportation Energy Consumption Survey, it also explores the relationship between residential vehicle use and family income.

406

"Table HC1.2.3 Living Space Characteristics by Average Floorspace--"  

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

3 Living Space Characteristics by Average Floorspace--" 3 Living Space Characteristics by Average Floorspace--" " Single-Family Housing Units and Mobile Homes, 2005" ,,"Single- Family and Mobile Homes (millions)","Average Square Feet per Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Detached",,,"Single-Family Attached",,,"Mobile Homes" "Housing Unit Characteristics",,,"Total1","Heated","Cooled","Total1","Heated","Cooled","Total1","Heated","Cooled" "Total",111.1,86.6,2522,1970,1310,1812,1475,821,1055,944,554 "Total Floorspace (Square Feet)" "Fewer than 500",3.2,0.9,261,336,162,"Q","Q","Q",334,260,"Q"

407

A model of a Serbian energy efficient house for decentralized electricity production  

Science Journals Connector (OSTI)

This paper presents architectural project and simulation of energy consumption and production of a model of Energy Efficient House for Decentralized Energy (DE). The house model is designed for the area of Serbia based on the needs of an average Serbian family. The model is designed to investigate opportunities for DE of typical house geometry with advantages of passive solar architecture combined with active solar systems and heat pump. Simulation of the model was performed for the climate conditions for the city of Nis. Thermal load for designed net-zero energy efficient home for a period of one year was simulated by means of TRNSYS software. With respect to renewable energy sources in Serbia production of electrical heating and cooling energy by solar photovoltaic/thermal collectors heat pump and heat storage is considered. The balance of simulated annual electricity production and consumption show that the house model can produce 51% of its energy demands. Simulation results are used to determine pathways for model modification towards more effective solar harvesting for electricity production.

2013-01-01T23:59:59.000Z

408

Electricity consumption of telecommunication equipment to achieve a telemeeting  

Science Journals Connector (OSTI)

Abstract The article assesses the electricity consumption in use of telecommunication equipment to achieve one remote multi-user work meeting, an existing service proposed by Orange group. It also examines the electric gains of substitution for a meeting requiring physical transport. Equipment comprises participant computers PC and phones, access to core networks and servers to permit audio link and the share of documents on PC display between users. Each device requires power to perform hours of activity or transfer nominal bit/s of throughput. A generic and modular method is suggested to determine from this information, which is not directly related to services processed by the devices, the consumption of the service under study. The method thus provides a quantitative relation of service consumption to its characteristics duration, number of users and access throughput but also to device consumption efficiency and utilization rate. The relation of dependance permits to assess potential energy saving by substituting devices for more efficiency ones and/or by increasing their utilization rate at same provided service. With some utilization rates at around 10%, as observed for the servers, a telemeeting between three users and lasting 2.3h requires 9MJ of electricity. Using better equipment and higher rates it can be decreased to 1.5MJ. By comparison transport of two of the users by train over a total distance of 2500km requires 500MJ. The method can be applied to any service provided its characteristics are known.

X. Chavanne; S. Schinella; D. Marquet; J.P. Frangi; S. Le Masson

2015-01-01T23:59:59.000Z

409

Analysis of air leakage measurements of US houses  

Science Journals Connector (OSTI)

Abstract Building envelope airtightness is important for residential energy use, occupant health and comfort. We analyzed the air leakage measurements of 134,000 single-family detached homes in US, using normalized leakage (NL) as the metric. Weatherization assistance programs (WAPs) and residential energy efficiency programs contributed most of the data. We performed regression analyses to examine the relationship between NL and various house characteristics. Explanatory variables that are correlated with NL include year built, climate zone, floor area, house height, and whether homes participated in \\{WAPs\\} or if they are energy efficiency rated homes. Foundation type and whether ducts are located outside or inside the conditioned space are also found to be useful parameters for predicting NL. We developed a regression model that explains approximately 68% of the observed variability across US homes. Of these variables considered, year built and climate zone are the two that have the largest influence on NL. The regression model can be used to predict air leakage values for individual homes, and distributions for groups of homes, based on their characteristics. Using RECS 2009 data, the regression model predicts 90% of US houses have NL between 0.22 and 1.95, with a median of 0.67.

Wanyu R. Chan; Jeffrey Joh; Max H. Sherman

2013-01-01T23:59:59.000Z

410

Before the Subcommittee on Energy -- House Science, Space, and Technology  

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

-- House Science, Space, and -- House Science, Space, and Technology Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Testimony of Christopher Smith, Acting Assistant Secretary Before the Subcommittee on Energy -- House Science, Space, and Technology Committee More Documents & Publications Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Environment and the Economy -- House Energy and Commerce Committee Before the Subcommittee on Energy -- House Science, Space, and Technology Committee Before the Subcommittee on Energy and Power -- House Energy and Commerce Committee Before the Subcommittees on Energy and Environment - House Committee on

411

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

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

412

Manufacturing Consumption of Energy 1994  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration/Manufacturing Consumption of Energy 1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas restructuring, gas pipelines were opened to multiple users. Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, arrange the transportation, and have the natural gas delivered either by the local distribution company or directly through a connecting pipeline. More recently, the electricity markets have been undergoing change. When Congress passed the Energy Policy Act of 1992, requirements were included not only to open access to the ownership of electricity generation, but also to open access to the transmission lines so that wholesale trade in electricity would be possible. Now several States, including California and

413

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

414

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Energy Consumption Survey Forms Form EIA-846A (4-6-95) U.S. Department of Commerce Bureau of the Census Acting as Collecting and Compiling Agent For 1994 MANUFACTURING ENERGY CONSUMPTION SURVEY Public reporting burden for this collection of information is estimated to average 9 hours per response, including the time of reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to the Energy Information Administration, Office of Statistical Standards, EI-73, 1707 H-Street, NW, Washington, DC 20585; and to the Office of Information and Regulatory Affairs, Office of

415

Manufacturing Consumption of Energy 1994  

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

2(94) 2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. ii Energy Information Administration/Manufacturing Consumption of Energy 1994 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin

416

Manufacturing consumption of energy 1994  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

NONE

1997-12-01T23:59:59.000Z

417

Manufacturing Consumption of Energy 1994  

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

E E U.S. Census Regions and Divisions 489 Energy Information Administration/Manufacturing Consumption of Energy 1994 Source: U.S. Department of Commerce, Bureau of the Census, Statistical Abstract of the United States,1996 (Washington, DC, October 1996), Figure 1. Appendix E U.S. Census Regions and Divisions Appendix F Descriptions of Major Industrial Groups and Selected Industries Executive Office of the President, Office of Management and Budget, Standard Industrial Classification Manual, 1987, pp. 67-263. 54 493 Energy Information Administration/Manufacturing Consumption of Energy 1994 Appendix F Descriptions of Major Industrial Groups and Selected Industries This appendix contains descriptions of industrial groups and selected industries taken from the Standard Industrial

418

Acoustics of a selection of famous 18th century opera houses: Versailles, Markgrfliches, Drottningholm, Schweitzingen  

Science Journals Connector (OSTI)

This paper presents the analysis of the acoustical measurements conducted in 8 renowned baroque Opera Houses located in France and Germany. Still in authentic condition to their time of usage and incorporating the historical changing scenery system (shutter and groove) these Houses have undergone little renovations. The acoustical analysis investigates the performances of these great Houses using energy parameters balance between stage and orchestra parameters 3D intensity plots new spatial distribution parameters and timbre frequency analysis. The objective of the study is to deduce (for the Constellation Project) design targets for a medium size Opera House against these benchmarks and also to revisit the use of the lateral changing scenery system as used in the Baroque era as an original scenery design concept for a new House. The paper presents the unique qualities of the rooms illustrates some of acoustical benefits of the 18th century Opera House design characteristics discusses some differences in the design approach between the Italian and the French traditions and proposes new perspectives for modern Opera Houses design.

Alban A. Bassuet

2008-01-01T23:59:59.000Z

419

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

420

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

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

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

422

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

Gasoline and Diesel Fuel Update (EIA)

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

423

Household Vehicles Energy Consumption 1991  

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

Protection Agency (EPA) certification files (CERT files) containing laboratory test results of MPG. When the vehicle characteristic was missing from the questionnaire, but...

424

Essays on aggregate and individual consumption fluctuations  

E-Print Network [OSTI]

This thesis consists of three essays on aggregate and individual consumption fluctuations. Chapter 1 develops a quantitative model to explore aggregate and individual consumption dynamics when the income process exhibits ...

Hwang, Youngjin

2006-01-01T23:59:59.000Z

425

Reduced Energy Consumption for Melting in Foundries  

E-Print Network [OSTI]

Reduced Energy Consumption for Melting in Foundries Ph.D. Thesis by Søren Skov-Hansen Supervisor-melted, and hence reduce the energy consumption for melting in foundries. Traditional gating systems are known

426

Energy Information Administration - Commercial Energy Consumption...  

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

A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

427

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand)...

428

Energy Information Administration - Commercial Energy Consumption...  

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

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace...

429

Energy Information Administration - Commercial Energy Consumption...  

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

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

430

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

431

Energy Information Administration - Commercial Energy Consumption...  

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

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

432

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace...

433

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total...

434

Housing Innovation Awards at the Solar Decathlon  

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

Housing Innovation Awards at the Solar Decathlon Housing Innovation Awards at the Solar Decathlon Breakfast Presented by BASF Friday, October 4, 2013 8:30-10:30 a.m. Historic Hanger 244 Orange County Great Park in Irvine, CA Friday, October 4, 2013 8:30 AM-10:30 PM 2 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Housing Innovation Awards Christine Barbour Master of Ceremonies 3 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Housing Innovation Awards 4 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov Thank you for making the Housing Innovation Awards breakfast possible! Housing Innovation Awards 5 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov

435

All Electric Houses in Cold Climates  

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

Electric Houses Electric Houses in Cold Climates Duncan Prahl, RA IBACOS BA Tech Update, April 29, 2013 Denver CO All Electric Houses in Cold Climates Caveats About Me: * I'm an Architect * I love math and science, but I'm not going to marry it * My engineering skills are primarily based on osmosis and graphics * "Close enough is good enough" All Electric Houses in Cold Climates Utility Unbundling * True costs becoming "transparent" * Allows for next level of analysis * Cash flow, Total Cost of Ownership All Electric Houses in Cold Climates Martha's Vineyard Community Images courtesy South Mountain Company All Electric Houses in Cold Climates Specifications Building System Specification Below Slab R-20 extruded polystyrene (XPS) foam Foundation Walls R-20 poly iso foam

436

Housing Innovation Awards | Department of Energy  

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

Housing Innovation Awards Housing Innovation Awards Housing Innovation Awards Photo of a line of Housing Innovation Awards statues lined up on a table. The U.S. Department of Energy's Housing Innovation Awards recognize the very best in innovation on the path to zero net-energy ready homes. The awards, presented on October 4, 2013, at a breakfast ceremony during the U.S. Department of Energy (DOE) Solar Decathlon 2013 in Irvine, CA, showcase a number of the Building Technologies Office residential programs under one umbrella event. DOE Challenge Home Builder Awards Orange Arrow Presented to DOE Challenge Home builders who are leading a major housing industry transformation to zero net-energy ready homes. The DOE Challenge Home designation is the symbol of excellence in home building. Only a

437

" Million U.S. Housing Units, Final"  

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

5 Structural and Geographic Characteristics of U.S. Homes, by Household Income, 2009" 5 Structural and Geographic Characteristics of U.S. Homes, by Household Income, 2009" " Million U.S. Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" "Structural and Geographic Characteristics",,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Total Homes",113.6,23.7,27.5,21.2,14.2,9.3,5.7,12,16.9 "Census Region and Division" "Northeast",20.8,4,4.3,3.5,2.8,1.9,1.5,2.8,2.9 "New England",5.5,1.1,1,1,0.8,0.5,0.4,0.8,0.8

438

Wind power systems for zero net energy housing in the United States  

Science Journals Connector (OSTI)

This work investigates the feasibility of renewable energy housing development in the U.S. using wind power and solar thermal systems to attain zero net energy consumption. The over all objective was to determine how the wind power and solar thermal system designs and economics differ with various climates, wind and solar resources, energy prices, and state incentives, such as net-metering. Five U.S. cities, one in each of the five climate zones, were selected for this study based on their potential for wind power. A zero net energy housing design tool was developed in order to analyze and compare various system designs. The energy performance and economics of the designs were compared for various sizes of housing development, for seven turbine models, and selected heating systems. The results suggest that while there are some economical options for wind powered zero net energy housing developments, they are generally more expensive (except in the warmest climate zone) than housing with natural gas heating. In all of the cases, the economies of scale for large-scale wind turbines gave more of an economic advantage than net-metering programs gave small- and medium-scale wind turbines.

Melissa R. Elkinton; Jon G. McGowan; James F. Manwell

2009-01-01T23:59:59.000Z

439

Final report on implementation of energy conservation practices training in selected public housing developments  

SciTech Connect (OSTI)

This report on the implementation of energy conservation practices training in selected public housing developments represents an initiative of the Research and Education Division, Office of Minority Economic Impact, US Department of Energy. The Office of Minority Economic Impact (MI) was created by Congress in 1979, within the US Department of Energy, to afford the Secretary advice on the effect policies, regulations and other actions of DOE respecting minority participation in energy programs. The Director of MI is responsible for the conduct of ongoing research into the effects, including socio-economic and environmental, of national energy programs, policies, and regulations of the Department of minorities. Public housing in the United States is dominated by minorities, public housing is a large consumer of residential energy. Consequently, this project is a logical merging of these two factors and an attempt to somehow influence energy savings through improving public housing residents' energy-consumption practices. This final report attempts to capture the results of this current demonstration, and incorporate the historical basis for today's results by renewing the efforts that preceded the implementation of energy conservation practices training in selected public housing developments.

Not Available

1991-10-01T23:59:59.000Z

440

Final report on implementation of energy conservation practices training in selected public housing developments  

SciTech Connect (OSTI)

This report on the implementation of energy conservation practices training in selected public housing developments represents an initiative of the Research and Education Division, Office of Minority Economic Impact, US Department of Energy. The Office of Minority Economic Impact (MI) was created by Congress in 1979, within the US Department of Energy, to afford the Secretary advice on the effect policies, regulations and other actions of DOE respecting minority participation in energy programs. The Director of MI is responsible for the conduct of ongoing research into the effects, including socio-economic and environmental, of national energy programs, policies, and regulations of the Department of minorities. Public housing in the United States is dominated by minorities, public housing is a large consumer of residential energy. Consequently, this project is a logical merging of these two factors and an attempt to somehow influence energy savings through improving public housing residents` energy-consumption practices. This final report attempts to capture the results of this current demonstration, and incorporate the historical basis for today`s results by renewing the efforts that preceded the implementation of energy conservation practices training in selected public housing developments.

Not Available

1991-10-01T23:59:59.000Z

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

EIA - Analysis of Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per-customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Categories: Consumption (Released, 6/23/2010, pdf format)

442

Ethanol Consumption by Rat Dams During Gestation,  

E-Print Network [OSTI]

Ethanol Consumption by Rat Dams During Gestation, Lactation and Weaning Increases Ethanol examined effects of ethanol consumption in rat dams during gestation, lactation, and weaning on voluntary ethanol consumption by their adolescent young. We found that exposure to an ethanol-ingesting dam

Galef Jr., Bennett G.

443

Mathematical models of natural gas consumption  

E-Print Network [OSTI]

Mathematical models of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan Vazler , Marijana Zeki-Susac ksabo of natural gas consumption hourly fore- cast on the basis of hourly movement of temperature and natural gas

Scitovski, Rudolf

444

Public perceptions of energy consumption and savings  

E-Print Network [OSTI]

Public perceptions of energy consumption and savings Shahzeen Z. Attaria,1 , Michael L. De consumption and savings for a variety of household, transportation, and recycling activities. When asked, with 98% of US emissions attributed to energy consumption (2). According to Pacala and Socolow (3

Kammen, Daniel M.

445

Consumption Oriented Free Capitalism Qiudong Wang  

E-Print Network [OSTI]

Consumption Oriented Free Capitalism Qiudong Wang An economic system is a framework, under which people are organized to produce consumption-goods and to consume the produced. Concerning economic of consumption, which in turn not only hindered further improvement of overall productivity, but also threatened

Wang, Quidong

446

STATE OF CALIFORNIA FAN POWER CONSUMPTION  

E-Print Network [OSTI]

STATE OF CALIFORNIA FAN POWER CONSUMPTION CEC-MECH-4C (Revised 08/09) CALIFORNIA ENERGY COMMISSION FAN POWER CONSUMPTION MECH-4C PROJECT NAME: DATE: NOTE: Provide one copy of this worksheet for each Systems or Variable Air Volume (VAV) Systems when using the Prescriptive Approach. See Power Consumption

447

Energy Consumption of Personal Computing Including Portable  

E-Print Network [OSTI]

Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

Namboodiri, Vinod

448

Hard Drive Power Consumption Uncovered Computer Laboratory  

E-Print Network [OSTI]

Hard Drive Power Consumption Uncovered Computer Laboratory Digital Technology Group Anthony Hylick, Andrew Rice, Brian Jones, Ripduman Sohan Motivation Attempts to reduce power consumption have mainly of power consumption and identify the need for a more expressive API between the OS and hardware devices

Cambridge, University of

449

The food consumption of the world's seabirds  

Science Journals Connector (OSTI)

...May 2004 research-article The food consumption of the world's seabirds M. de L...provisional estimate of their annual food consumption. Knowing the body mass and energy density...equations to estimate daily and hence annual consumption of a seabird. Using this approach...

2004-01-01T23:59:59.000Z

450

The service economy: wealth without resource consumption?  

Science Journals Connector (OSTI)

...service economy: wealth without resource consumption? W. R. Stahel The Product-Life...with regard to its per capita material consumption in the industrialized countries. A...economy: `wealth without resource consumption'? B y W. R. Stahel The Product-Life...

1997-01-01T23:59:59.000Z

451

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION  

E-Print Network [OSTI]

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION ROMAN MURAVIEV AND MARIO V. W¨UTHRICH DEPARTMENT- ponential utility maximization problem, where feasible consumption policies are not permitted to be negative- come reduces the current consumption level, thus confirming the presence of the precautionary savings

Wüthrich, Mario

452

Optimal Consumption Choice with Intertemporal Substitution y  

E-Print Network [OSTI]

Optimal Consumption Choice with Intertemporal Substitution y By Peter Bank and Frank Riedel z consumption plans are established under arbitrary convex portfolio constraints, including both complete of the underlying stochastics, optimal consumption occurs at rates, in gulps, or in a singular way. y Support

Bank, Peter

453

Monitoring Energy Consumption In Wireless Sensor Networks  

E-Print Network [OSTI]

Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

Turau, Volker

454

Modeling, design and thermal performance of a BIPV/T system thermally coupled with a ventilated concrete slab in a low energy solar house: Part 1, BIPV/T system and house energy concept  

SciTech Connect (OSTI)

This paper is the first of two papers that describe the modeling, design, and performance assessment based on monitored data of a building-integrated photovoltaic-thermal (BIPV/T) system thermally coupled with a ventilated concrete slab (VCS) in a prefabricated, two-storey detached, low energy solar house. This house, with a design goal of near net-zero annual energy consumption, was constructed in 2007 in Eastman, Quebec, Canada - a cold climate area. Several novel solar technologies are integrated into the house and with passive solar design to reach this goal. An air-based open-loop BIPV/T system produces electricity and collects heat simultaneously. Building-integrated thermal mass is utilized both in passive and active forms. Distributed thermal mass in the direct gain area and relatively large south facing triple-glazed windows (about 9% of floor area) are employed to collect and store passive solar gains. An active thermal energy storage system (TES) stores part of the collected thermal energy from the BIPV/T system, thus reducing the energy consumption of the house ground source heat pump heating system. This paper focuses on the BIPV/T system and the integrated energy concept of the house. Monitored data indicate that the BIPV/T system has a typical efficiency of about 20% for thermal energy collection, and the annual space heating energy consumption of the house is about 5% of the national average. A thermal model of the BIPV/T system suitable for preliminary design and control of the airflow is developed and verified with monitored data. (author)

Chen, Yuxiang; Athienitis, A.K.; Galal, Khaled [Dept. of Building, Civil and Environmental Engineering, Concordia University, 1455 De Maisonneuve West, EV6.139, Montreal, Quebec (Canada)

2010-11-15T23:59:59.000Z

455

2014 House Nuclear Cleanup Caucus Oak Ridge  

Office of Environmental Management (EM)

2014 House Nuclear Cleanup Caucus Oak Ridge August 16, 2014 Sue Cange Acting Manager Oak Ridge Office of Environmental Management Oak Ridge Site Specific Advisory Board Annual...

456

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

Gasoline and Diesel Fuel Update (EIA)

Single-Family Units Apartments in Buildings With-- Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005 Home Appliances Usage Indicators...

457

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

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

Single-Family Units Apartments in Buildings With-- Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005 Home Appliances Usage Indicators...

458

Testimony before the House Appropriations Committee, Subcommittee...  

National Nuclear Security Administration (NNSA)

... Testimony before the House Appropriations Committee, Subcommittee on Energy and Water Congressional Testimony Mar 4, 2010 Administrator Thomas D'Agostino As Prepared for...

459

Science to return to the White House  

Science Journals Connector (OSTI)

... Senators and Congressmen that he wants Congress to pass a bill to establish a small science policy ... policy office in the White House, headed by a ...

Colin Norman

1975-06-05T23:59:59.000Z

460

Fayette Country, Pennsylvania, Housing Market Analysis  

Broader source: Energy.gov [DOE]

This is a document from the Fayette County Housing Consortium posted to the website of the U.S. Department of Energy's Better Buildings Neighborhood Program.

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

Islip Housing Authority Energy Efficiency Turnover Protocols...  

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

outlets, wires, and lighting; sealing around the bath exhaust fan housing and ducts boots; replacing entry door weather stripping; caulking around entry door frame and windows;...

462

Solar energy, conservation, and rental housing  

SciTech Connect (OSTI)

Renters must pay the majority of energy costs either directly or in their rents. They have limited financial and legal abilities to make improvements necessary to increase substantially the energy efficiency of rental housing. This report discusses the problem of how to increase investments in energy conservation and solar energy devices for rental housing, which constitutes over one-third of US housing. As background, this report characterizes the rental-housing market, including owners' decision-making criteria. Federal, state, and local policies that affect energy-related investments in rental housing are described. Programs are divided into five major categories: (1) programs for tenants, (2) financial incentives for owners, (3) leasing of solar energy equipment, (4) mediation between tenants and landlords, and (5) regulation. The report concludes that energy and conservation programs aimed at the residential sector must disaggregate owner-occupied housing from rental housing for maximum effect. No one program is advocated since local rental-housing markets differ substantially. For improvements greater than no-cost or low-cost items, programs must be directed at rental-housing owners and not only at tenants.

Levine, A.; Raab, J.

1981-03-01T23:59:59.000Z

463

Slideshow of the White House Energy Datapalooza  

Broader source: Energy.gov [DOE]

This post included photo's from the Energy Datapalooza hosted jointly by the White House Office of Technology-Policy and the Department of Energy.

464

Index Revision, House Price Risk, and the Market for House Price Derivatives  

E-Print Network [OSTI]

bias in repeat-sales home price indices. Freddie Mac workingpaper #0503. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

Deng, Yongheng; Quigley, John M.

2008-01-01T23:59:59.000Z

465

Greening the U.S. House of Representatives  

SciTech Connect (OSTI)

The Greening the Capitol initiative was launched in March, 2007 with the threefold goals of making the U.S. House of Representatives: 1) carbon neutral within 18 months, 2) reducing energy use by 50percent in ten years, and 3) becoming a model of sustainable operations. We report on the recommendations to meet these goals, looking at the targets of opportunity at the Capitol Power Plant, the existing buildings, and the overall operations of the complex. Our findings have shown that these goals are achievable, and that through an integrated approach the savings in carbon and energy can be met. Specific examples include the lighting retrofits in the House offices, parking areas, and the Capitol dome; the retrofits to the HVAC systems and controls, including duct sealing, improving the efficiency of the energy and water use in the food service areas; and improved operations of the steam and chilled water distribution system. A key aspect has been better tracking and feedback to the building operators of the actual energy consumption. We report on the technical opportunities presented by these historic and symbolic buildings in becoming models of sustainability.

Diamond, Rick; Diamond, Rick; Payne, Christopher

2008-03-01T23:59:59.000Z

466

HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT  

SciTech Connect (OSTI)

Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled ??Energy Efficiency Development and Deployment in Indian Country?. The initial objectives of the Hooper Bay Energy Efficiency Feasibility Study were to demonstrate a 30% reduction in residential/commercial energy usage and identify the economic benefits of implementing energy efficiency measures to the Tribe through: (1) partnering with Whitney Construction and Solutions for Healthy Breathing in the training and hire of 2 local energy assessors to conduct energy audits of 9 representative housing models and 2 commercial units in the community. These homes are representative of 52 homes constructed across different eras. (2) partnering with Cold Climate Housing Research Center to document current electrical and heating energy consumption and analyze data for a final feasibility report (3) assessing the economics of electricity & heating fuel usage; (4) projecting energy savings or fossil fuel reduction by modeling of improvement scenarios and cost feasibility The following two objectives will be completed after the publication of this report: (5) the development of materials lists for energy efficiency improvements (6) identifying financing options for the follow-up energy efficiency implementation phase.

SEA LION CORPORATION; COLD CLIMATE HOUSING RESEARCH CENTER; SOLUTIONS FOR HEALTHY BREATHING; WHITNEY CONSTRUCTION

2012-12-30T23:59:59.000Z

467

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

Housing Unit Characteristics by Household Income, 2005" Housing Unit Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Housing Unit Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Census Region and Division" "Northeast",20.6,4.9,5.4,3.5,2.4,4.3,3.2,8.1 "New England",5.5,1.3,1.3,1,0.6,1.2,0.7,2.3 "Middle Atlantic",15.1,3.7,4.1,2.5,1.8,3.1,2.5,5.8 "Midwest",25.6,6.5,6.6,4.7,3,4.8,3.5,9.4

468

TableHC2.12.xls  

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

Detached Attached 2 to 4 Units Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

469

" Million U.S. Housing Units"  

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

2 Living Space Characteristics by Urban/Rural Location, 2005" 2 Living Space Characteristics by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Living Space Characteristics",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,2.1,0.6,"Q",0.4 "500 to 999",23.8,13.6,3.7,3.2,3.2 "1,000 to 1,499",20.8,9.5,3.7,3.4,4.2 "1,500 to 1,999",15.4,6.6,2.7,2.5,3.6 "2,000 to 2,499",12.2,5,2.1,2.8,2.4 "2,500 to 2,999",10.3,3.7,1.8,2.8,2.1 "3,000 to 3,499",6.7,2,1.4,1.7,1.6

470

" Million U.S. Housing Units"  

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

6 Air Conditioning Characteristics by Year of Construction, 2005" 6 Air Conditioning 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" "Air Conditioning Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Do Not Have Cooling Equipment",17.8,3.9,1.8,2.2,2.1,3.1,2.6,1.7,0.4 "Have Cooling Equipment",93.3,10.8,5.6,10.3,10.4,15.8,16,15.6,8.8 "Use Cooling Equipment",91.4,10.6,5.5,10.3,10.3,15.3,15.7,15.3,8.6 "Have Equipment But Do Not Use it",1.9,"Q","Q","Q","Q",0.6,0.4,0.3,"Q"

471

" Million U.S. Housing Units"  

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

3 Household Characteristics by Urban/Rural Location, 2005" 3 Household Characteristics by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Household Characteristics",,"City","Town","Surburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Household Size" "1 Person",30,14.7,5.1,5.1,5.1 "2 Persons",34.8,12.8,6.1,7.5,8.5 "3 Persons",18.4,7.6,3,3.8,3.9 "4 Persons",15.9,6.8,2.6,3.3,3.1 "5 Persons",7.9,3.3,1.5,2.1,1 "6 or More Persons",4.1,1.9,0.7,0.8,0.7 "2005 Annual Household Income Category" "Less than $9,999",9.9,5.2,1.6,1.2,1.9 "$10,000 to $14,999",8.5,4.5,1.6,0.8,1.6

472

" Million U.S. Housing Units"  

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

3 Household Characteristics by Year of Construction Unit, 2005" 3 Household Characteristics by Year of Construction Unit, 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" "Household Characteristics" "Total",111.1,14.7,7.4,12.5,12.5,18.9,18.6,17.3,9.2 "Household Size" "1 Person",30,4.6,2.5,3.7,3.2,5.4,5.5,3.7,1.6 "2 Persons",34.8,4.3,1.9,4.4,4.1,5.9,5.3,5.5,3.4 "3 Persons",18.4,2.5,1.3,1.7,1.9,2.9,3.5,2.8,1.6 "4 Persons",15.9,1.9,0.8,1.5,1.6,3,2.5,3.1,1.4

473

" Million U.S. Housing Units"  

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

3 Household Characteristics by Climate Zone, 2005" 3 Household 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" "Household Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Household Size" "1 Person",30,2.6,7.9,7.3,6.5,5.8 "2 Persons",34.8,4.3,7.7,8.2,7.1,7.5 "3 Persons",18.4,1.8,4.2,4.8,3.9,3.7 "4 Persons",15.9,1.2,3.7,4,3.9,2.9 "5 Persons",7.9,0.7,1.8,2,1.4,2 "6 or More Persons",4.1,0.3,0.8,1,1.1,0.8

474

" Million U.S. Housing Units"  

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

9 Home Appliances Characteristics by Climate Zone, 2005" 9 Home Appliances 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" "Home Appliances Characteristics" "Total U.S.",111.1,10.9,26.1,27.3,24,22.8 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,10.9,25.7,27.1,23.4,22.4 "1.",103.3,10.2,24.3,25.3,22.2,21.3 "2 or More",6.2,0.6,1.5,1.8,1.2,1.1 "Do Not Use an Oven",1.5,"Q",0.3,"Q",0.6,0.4

475

" Million U.S. Housing Units"  

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

2 Living Space Characteristics by Climate Zone, 2005" 2 Living Space 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" "Living Space Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8 "Floorspace (Square Feet)" "Total Floorspace2" "Fewer than 500",3.2,"Q",0.8,0.9,0.8,0.5 "500 to 999",23.8,1.5,5.4,5.5,6.1,5.3 "1,000 to 1,499",20.8,1.4,4,5.2,5,5.2 "1,500 to 1,999",15.4,1.4,3.1,3.5,3.6,3.8

476

" Million U.S. Housing Units"  

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

2 Living Space Characteristics by Number of Household Members, 2005" 2 Living Space 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" "Living Space Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1.7,0.8,0.4,0.3,"Q" "500 to 999",23.8,10.2,6.4,3.4,2.3,1.5 "1,000 to 1,499",20.8,5.5,6.3,3,3.3,2.6 "1,500 to 1,999",15.4,3.8,4.7,2.9,2.2,1.9 "2,000 to 2,499",12.2,2.6,4,2.5,2,1.3 "2,500 to 2,999",10.3,1.9,4.1,1.7,1.3,1.3

477

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

Gasoline and Diesel Fuel Update (EIA)

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

478

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.5 pounds

479

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.0 pounds

480

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources a significant effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 15

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481

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

482

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network [OSTI]

Per Capita Consumption 84 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

483

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

and Low Power Mode Energy Consumption, Energy Efficiency inEnergy Consumption ..26 3.1.3. 3D TV Energy Consumption and Efficiency

Park, Won Young

2011-01-01T23:59:59.000Z

484

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

485

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

a forecast for total energy consumption in network standbyconsiderable impact on total energy consumption from TVs.factors affecting total energy consumption. Although further

Park, Won Young

2011-01-01T23:59:59.000Z

486

Statement of Patricia Hoffman before the United States House of  

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

before the United States House of 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 Representatives House Appropriations Subcommittee on Energy and Water Development Statement of Patricia Hoffman before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development to appear before you today to discuss the President's Fiscal Year (FY) 2012 budget request for the Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE). Statement of Patricia Hoffman before the United States House of Representatives House Appropriations Subcommittee on Energy and Water Development More Documents & Publications

487

Canada's Fuel Consumption Guide | Open Energy Information  

Open Energy Info (EERE)

Canada's Fuel Consumption Guide Canada's Fuel Consumption Guide Jump to: navigation, search Tool Summary Name: Canada's Fuel Consumption Guide Agency/Company /Organization: Natural Resources Canada Focus Area: Fuels & Efficiency Topics: Analysis Tools Website: oee.nrcan.gc.ca/transportation/tools/fuel-consumption-guide/fuel-consu Natural Resources Canada has compiled fuel consumption ratings for passenger cars and light-duty pickup trucks, vans, and special purpose vehicles sold in Canada. The website links to the Fuel Consumption Guide and allows users to search for vehicles from current and past model years. It also provides information about vehicle maintenance and other practices to reduce fuel consumption. How to Use This Tool This tool is most helpful when using these strategies:

488

Reducing power consumption while performing collective operations on a plurality of compute nodes  

DOE Patents [OSTI]

Methods, apparatus, and products are disclosed for reducing power consumption while performing collective operations on a plurality of compute nodes that include: receiving, by each compute node, instructions to perform a type of collective operation; selecting, by each compute node from a plurality of collective operations for the collective operation type, a particular collective operation in dependence upon power consumption characteristics for each of the plurality of collective operations; and executing, by each compute node, the selected collective operation.

Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Peters, Amanda E. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

2011-10-18T23:59:59.000Z

489

"Table A11. Total Primary Consumption of Combustible Energy for Nonfuel"  

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

1. Total Primary Consumption of Combustible Energy for Nonfuel" 1. Total Primary Consumption of Combustible Energy for Nonfuel" " Purposes by Census Region and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," "," "," ","Natural"," "," ","Coke"," "," " " ","Total","Residual","Distillate","Gas(c)"," ","Coal","and Breeze","Other(d)","RSE" " ","(trillion","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","(trillion","Row"

490

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C3. Primary Energy Consumption Estimates, 2011 C3. Primary Energy Consumption Estimates, 2011 (Trillion Btu) State Fossil Fuels Fossil Fuels (as commingled) Coal Natural Gas excluding Supplemental Gaseous Fuels a Petroleum Total Natural Gas including Supplemental Gaseous Fuels a Motor Gasoline including Fuel Ethanol a Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline excluding Fuel Ethanol a Residual Fuel Oil Other d Total Alabama ........... 651.0 614.8 156.5 13.4 12.8 304.5 13.4 49.1 549.5 1,815.4 614.8 319.8 Alaska ............... 15.5 337.0 85.1 118.2 1.3 31.9 1.9 28.6 267.1 619.6 337.0 34.6 Arizona ............. 459.9 293.7 151.8 21.5 9.1 297.3 (s) 21.1 500.9 1,254.5 293.7 323.4 Arkansas ........... 306.1 288.6 134.9 5.9 9.4 165.4 0.2 19.8 335.7 930.5 288.6 175.6 California .......... 55.3 2,196.6 567.0 549.7 67.2 1,695.4 186.9 339.6 3,405.8 5,657.6 2,196.6

491

White House | OpenEI Community  

Open Energy Info (EERE)

White House White House Home Graham7781's picture Submitted by Graham7781(1992) Super contributor 16 August, 2013 - 12:21 New report from White House outlines largest problems facing United States energy grid energy grid OpenEI President Smart Grid United States White House Graham7781's picture Submitted by Graham7781(1992) Super contributor 30 August, 2012 - 15:16 Historic Fuel Standards auto fuel efficiency obama standards vehicle White House On Tuesday, Ray Lahood, Secretary of the U.S. Department of Transportation, and Lisa P. Jackson, Environmental Protection Agency Administrator, unveiled the joint effort, along with the Obama Administration, to create record fuel standards for vehicles built between 2017 and 2025. Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load)

492

DOE Solar Decathlon: Solar Decathlon House Tours  

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

House Tours House Tours Attending the U.S. Department of Energy Solar Decathlon isn't the only way to get a tour of a Solar Decathlon house. Many past competition houses are open to the public and offer tours year-round. To learn more about the Solar Decathlon houses from previous competitions that offer tours, select from the markers on the map below or choose from the links in the following tables. Screen reader users: click here for plain HTML Go to Google Maps Home Loading... Map Sat Ter Did you mean a different: Did you mean a different: Did you mean a different: Add Destination - Show options Hide options Get Directions Note: Public transit coverage may not be available in this area. Report a problem - Maps Labs - Help Google Maps ‎ ‎ - ©2014 Google ‎ - Terms of Use - Privacy

493

On-site Housing | Staff Services  

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

On-site Housing On-site Housing Note: All guests wishing to stay on-site must be registered and approved in the BNL Guest Information System (GIS). Welcome to Brookhaven National Laboratory. BNL attracts more than 4,500 visiting scientists from all over the world each year to perform scientific research and work with our staff. To support our guests, there are 333 on-site housing units. These units are comprised of 66 family-style apartments, 39 efficiency apartments, 213 dormitory rooms, 13 Guest House rooms, and 2 year round private houses. Location: Hours of Operation: Research Support Building (400A), 20 Brookhaven Avenue Monday - Friday: 8:00 am to Midnight Reservations: (631) 344-2541 or 344-2551 Saturday: Closed* Fax: (631) 344-3098 Sunday: 4:00 pm to Midnight

494

Please transfer ALL data off /house  

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

Please transfer ALL data off /house before Please transfer ALL data off /house before 12/1/2013 Please transfer ALL data off house September 3, 2013 by Kjiersten Fagnan (0 Comments) We are happy to announce that all the file systems: /global/projectb, /global/dna and /webfs are available for use. We now strongly encourage users to begin the data transfer process from /house to the other file systems. House will retire on December 20, 2013! For more information on the best ways to transfer data and what each file system should be used for, check this page . Post your comment You cannot post comments until you have logged in. Login Here. Comments No one has commented on this page yet. RSS feed for comments on this page | RSS feed for all comments User Announcements Email announcement archive Subscribe via RSS

495

OpenEI Community - White House  

Open Energy Info (EERE)

/0 en New report from White /0 en New report from White House outlines largest problems facing United States energy grid http://en.openei.org/community/blog/new-report-white-house-outlines-largest-problems-facing-united-states-energy-grid house-outlines-largest-problems-facing-united-states-energy-grid" target="_blank">read more http://en.openei.org/community/blog/new-report-white-house-outlines-largest-problems-facing-united-states-energy-grid#comments energy grid OpenEI President Smart Grid United States White House Fri, 16

496

Cooling with a Whole House Fan | Department of Energy  

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

Cooling with a Whole House Fan Cooling with a Whole House Fan Cooling with a Whole House Fan May 30, 2012 - 6:54pm Addthis Whole house fan installed as part of a home retrofit project in California. | Photo courtesy of Lieko Earle, NREL. Whole house fan installed as part of a home retrofit project in California. | Photo courtesy of Lieko Earle, NREL. What does this mean for me? A whole-house fan may be sufficient to cool your house, at least for part of the year. In many climates, a whole-house fan can save you money and maintain comfort during the cooling season. How does it work? A whole-house fan works by pulling air in through windows and exhausting it through the attic and roof. Whole house cooling using a whole house fan can substitute for an air conditioner most of the year in most climates. Whole house fans combined

497

Technological rules and constraints affecting design of precast concrete housing  

E-Print Network [OSTI]

Precast concrete technology is of great importance in multifamily housing. This technology provides the possibility to the industrialize housing construction and thus enhance the availability and quality of houses. With ...

Nakamura, Takashi

1994-01-01T23:59:59.000Z

498

White_House_0921.pdf | Department of Energy  

Office of Environmental Management (EM)

WhiteHouse0921.pdf WhiteHouse0921.pdf WhiteHouse0921.pdf More Documents & Publications EA-0921: Finding of No Significant Impact whmissionstatus.pdf Environmental Leaders,...

499

Integration of Sustainability in Net-zero House: Experiences in Solar Decathlon China  

Science Journals Connector (OSTI)

Abstract The integration design between architecture, technology and engineering is an important issue of sustainable building. Facing the problems such as high city density, high performance limitation, construction methods and financial problems, the integration of sustainability issues into a regular residential building is a challenge, especially in China. This article's objective is to set up a framework integrating sustainable strategies to the design and the construction of a net-zero house based on the particular living situation in China. O-house is one of the entries of the solar decathlon competition in 2013, which was designed as a net-zero house for China residential market. By analyzing existing problems and potential opportunities during the market oriented survey, a possible solution by combining an appropriate building mode, solar power technologies and energy saving methods which may suit Chinese residential market is presented in this paper. The case shows specific strategies and steps of integration design, including building composition mode, architecture and material, combination of building and renewable energy technologies, integration of building and its equipment systems and integrated indoor furniture design etc. This experimental design and construction process presents us with a net-zero energy consumption and reasonable construction consumption (e.g. costs, labour, and time). In conclusion, this paper illustrates the scope of usage for integrate sustainable residential building design, and also points out its advantages and limitations that may come out in future.

Hong Zhang; Junjie Li; Lei Dong; Huanyu Chen

2014-01-01T23:59:59.000Z

500

Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &  

Gasoline and Diesel Fuel Update (EIA)

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