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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Lower residential energy use reduces home energy expenditures as ...  

U.S. Energy Information Administration (EIA)

Aggregate home energy expenditures by U.S. households fell $12 billion in 2012 ... households spent $1,945 on heating, cooling, appliances, electronics, and lighting ...

2

State energy price and expenditure report 1992  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

1994-12-01T23:59:59.000Z

3

State energy price and expenditure report 1991  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

1993-09-01T23:59:59.000Z

4

State energy price and expenditure report 1994  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

NONE

1997-06-01T23:59:59.000Z

5

State energy price and expenditure report 1993  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

1995-12-01T23:59:59.000Z

6

State energy price and expenditure report, 1995  

SciTech Connect

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

1998-08-01T23:59:59.000Z

7

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

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

Information Center

2008-09-01T23:59:59.000Z

8

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

2010 Price and Expenditure Summary Tables. Table E1. Primary Energy, Electricity, ... Ranked by State, 2010 Rank Prices Expenditures Expenditures per Person State

9

Energy Expenditures | OpenEI  

Open Energy Info (EERE)

Expenditures Expenditures Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

10

Household Energy Consumption and Expenditures 1993 -- Executive ...  

U.S. Energy Information Administration (EIA)

national level data on energy-related issues on households and energy expenditures in the residential sector.

11

OpenEI - Energy Expenditures  

Open Energy Info (EERE)

State Energy Data State Energy Data System (SEDS) Complete Dataset through 2009 http://en.openei.org/datasets/node/883 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates.

License
Type of

12

Assumptions to the Annual Energy Outlook 2002 - Household Expenditures...  

Annual Energy Outlook 2012 (EIA)

Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

13

Commercial Buildings Energy Consumption and Expenditures 1992  

Annual Energy Outlook 2012 (EIA)

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

14

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Table C4; and EIA, Annual Energy Review 2010, Aug. 2011, Appendix D, p. 353 for price deflators...

15

Household energy consumption and expenditures 1993  

Science Conference Proceedings (OSTI)

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

NONE

1995-10-05T23:59:59.000Z

16

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

17

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

18

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

19

State energy price and expenditure report, 1986  

SciTech Connect

The average price paid for energy in the United States in 1986 was $7.19 per million Btu, down significantly from the 1985 average of $8.42 per million Btu. While total energy consumption increased slightly to 74.3 quadrillion Btu from 1985 to 1986, expenditures fell from $445 billion to $381 billion. Energy expenditures per capita in 1986 were $1578, down significantly from the 1985 rate. In 1986, consumers used only 94 percent as much energy per person as they had in 1970, but they spent 3.9 times as much money per person on energy as they had in 1970. By state, energy expenditures per capita in 1986 ranged from the lowest rate of $1277 in New York to the highest of $3108 in Alaska. Of the major energy sources, electricity registered the highest price per million Btu ($19.00), followed by petroleum ($5.63), natural gas ($3.97), coal ($1.62), and nuclear fuel ($0.70). The price of electricity is relatively high because of significant costs for converting energy from various forms (e.g., fossil fuels, nuclear fuel, hydroelectric energy, and geothermal energy) into electricity, and additional, somewhat smaller costs for transmitting and distributing electricity to end users. In addition, electricity is a premium form of energy because of its flexibility and clean nature at energy consumers' sites.

Not Available

1988-10-28T23:59:59.000Z

20

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

U.S. Energy Information Administration (EIA)

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

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

State energy price and expenditure report 1984  

Science Conference Proceedings (OSTI)

The average price paid by US consumers for energy in 1984 was $8.43 per million Btu, down 0.5% from the 1983 average price of $8.47 per million Btu. While the average price changed very little, total expenditures rose 5% from $418 billion in 1983 to $438 billion in 1984 due to increased energy consumption. By energy source, prices showed the most change in petroleum and electricity: the average price paid for petroleum products fell from $7.79 per million Btu in 1983 to $7.62 per million Btu in 1984, and the average price paid for electricity increased from $18.62 per million Btu in 1983 to $19.29 per million Btu in 1984. Expenditures in 1984 hit record high levels for coal, natural gas, nuclear fuel, and electricity, but were 16% below the 1981 peak for petroleum.

Not Available

1986-12-04T23:59:59.000Z

22

Energy and household expenditure patterns  

Science Conference Proceedings (OSTI)

Since households account, either directly or indirectly, for two-thirds of the energy consumed in the US, changes in household activities will affect energy use. Expected changes in prices, personal income, and family spending over the next 20 years are looked at as well as the implications for energy consumption. The analysis shows that direct energy purchases will break with past trends, dropping from 2.6% to 0.2% annual growth for the rest of the century. Growth in spending on energy-using goods is also likely to slow down. The year 2000 will see a marked decrease in the growth of national energy consumption. 58 references, 3 figures, 35 tables.

Lareau, T.J.; Darmstadter, J.

1983-01-01T23:59:59.000Z

23

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...

24

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

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

25

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

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

26

Household energy consumption and expenditures 1987  

SciTech Connect

This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

Not Available

1990-01-22T23:59:59.000Z

27

Teichert Aggregates | Open Energy Information  

Open Energy Info (EERE)

Teichert Aggregates Teichert Aggregates Jump to: navigation, search Name Teichert Aggregates Facility Teichert Aggregates Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Teichert Aggregates Developer Foundation Windpower Energy Purchaser Teichert Aggregates Location South of Tracy CA Coordinates 37.616169°, -121.356236° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.616169,"lon":-121.356236,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

28

Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless  

E-Print Network (OSTI)

their transmission powers to minimize the aggregate energy expenditure. Our analysis of these models yields insightsUsing Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor of the prob- lem of energy misbehavior and develop an analytical frame- work for quantifying its impact

Wei, Shuangqing

29

Table 1.5 Energy Consumption, Expenditures, and Emissions ...  

U.S. Energy Information Administration (EIA)

1 Expenditures include taxes where data are available. 5 In chained (2005) dollars. See "Chained Dollars" in Glossary. 2 Carbon dioxide emissions from energy consumption.

30

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

31

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

32

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

3.3 Commercial Sector Expenditures 3.3 Commercial Sector Expenditures March 2012 3.3.3 Commercial Buildings Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Electricity Natural Gas Petroleum (2) Total 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 148.6 37.0 17.0 202.6 148.9 37.2 17.1 203.2 145.9 36.2 16.7 198.9 147.5 36.8 16.9 201.2 143.8 35.1 16.4 195.2 145.0 35.5 16.6 197.0 141.1 34.0 16.0 191.1 142.5 34.6 16.2 193.3 136.9 32.1 15.7 184.8 139.1 33.0 15.9 188.0 133.5 31.0 15.4 179.9 135.0 31.6 15.6 182.2 131.0 29.7 15.1 175.8 131.9 30.3 15.3 177.5 128.1 28.7 14.5 171.3 130.0 29.3 15.0 174.4 129.4 29.7 15.4 174.5 127.7 29.2 13.8 170.7 134.8 29.9 14.5 179.2 134.5 28.5 16.9 180.0 141.1

33

Table 1.5 Energy Consumption, Expenditures, and Emissions ...  

U.S. Energy Information Administration (EIA)

Consumption per Capita: Energy Expenditures 1: Energy ... 2009. 94,559,407 [R] 308 : 1,061,220 [R] ... 2 Carbon dioxide emissions from energy consumption. See Table 11.1.

34

Residential Energy Expenditures for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

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

35

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

36

Table 7.9 Expenditures for Purchased Energy Sources, 2002  

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

9 Expenditures for Purchased Energy Sources, 2002;" 9 Expenditures for Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Million U.S. Dollars." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

37

Commercial Buildings Energy Consumption and Expenditures 1992 - Executive  

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

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

38

Commercial Buildings Energy Consumption and Expenditures 1992 - Publication  

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

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

39

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

40

wf01 - Energy_Expenditures.xlsx  

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

6-07 6-07 07-08 08-09 09-10 10-11 11-12 12-13 13-14 % Change Natural Gas Northeast Consumption (mcf**) 73.6 74.2 79.6 74.7 79.7 65.6 75.2 77.5 3.1 Price ($/mcf) 14.74 15.18 15.83 13.31 12.66 12.23 11.75 13.38 13.8 Expenditures ($) 1,085 1,127 1,260 994 1,010 802 883 1,036 17.3 Midwest Consumption (mcf) 74.5 78.2 80.8 78.6 80.1 65.4 77.5 77.9 0.5 Price ($/mcf) 11.06 11.40 11.47 9.44 9.23 8.96 8.23 9.15 11.2 Expenditures ($) 824 892 927 742 740 586 638 713 11.8 South Consumption (mcf) 45.3 44.8 47.0 53.4 49.5 41.1 46.6 47.5 1.9 Price ($/mcf) 13.57 14.19 14.08 11.52 11.03 11.47 10.69 11.78 10.3 Expenditures ($) 615 635 661 615 546 472 498 560 12.4 West Consumption (mcf) 46.4 48.1 46.2 47.7 47.2 47.6 46.9 46.5 -0.8 Price ($/mcf) 11.20 11.31 10.86 9.91 9.67 9.38 9.15 9.90 8.1 Expenditures ($) 520 544 502 473 457 447 429

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


41

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 FY 2007 Federal Buildings Energy Prices and Expenditures, by Fuel Type ($2010) Fuel Type Electricity (1) Natural Gas Fuel Oil Coal Purchased Steam LPG/Propane Other Average Total Note(s): Source(s): 17.05 6028.63 Prices and expenditures are for Goal-Subject buildings. 1) $0.0776/kWh. 2) Energy used in Goal-Subject buildings in FY 2007 accounted for 33.8% of the total Federal energy bill. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-4, p. 93 for prices and expenditures, and Table A-9, p. 97 for total energy expenditures; EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price deflators. 24.30 318.35 17.06 43.87 16.19 36.64 9.37 1138.21 15.25 419.30 3.62 62.87 Average Fuel Prices Total Expenditures ($/million BTU) ($ million) (2) 23.68

42

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

3 3 Buildings Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Residential Buildings Commercial Buildings Total Building Electricity Natural Gas Petroleum (2) Total Electricity Natural Gas Petroleum (3) Total Expenditures 1980 89.1 40.5 28.9 158.5 70.9 20.5 17.2 108.6 267.2 1981 94.9 41.3 27.8 164.0 79.4 21.4 16.5 117.3 281.3 1982 99.9 47.9 24.5 172.3 83.4 25.1 13.7 122.2 294.5 1983 103.6 51.0 21.4 176.1 83.6 26.1 14.6 124.3 300.4 1984 103.3 51.6 23.6 178.5 87.6 25.9 14.7 128.2 306.7 1985 105.4 48.8 22.6 176.8 90.0 24.0 12.6 126.6 303.4 1986 106.9 44.2 18.1 169.2 90.5 20.7 9.1 120.2 289.4 1987 108.2 40.9 18.0 167.1 88.7 19.8 9.2 117.7 284.7 1988 110.3 41.8 18.0 170.1 89.9 20.4 8.2 118.5 288.7 1989 110.2 42.9 19.7 172.8 91.5 20.5 8.4 120.4 293.2 1990 110.9 39.0 18.2 168.2 92.9 19.4 9.2 121.5 289.7 1991 113.7 39.2 17.0 169.9 93.9 19.5 7.7 121.1 291.0

43

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

44

Energy Consumption and Expenditures RECS 2001  

U.S. Energy Information Administration (EIA)

Water Heating. Space Heating. Appliances. Air-Conditioning. About the Data. Tables: Total Energy Consumption in U.S ...

45

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

9 9 2003 Energy Expenditures per Square Foot of Commercial Floorspace and per Building, by Building Type ($2010) ($2010) Food Service 4.88 27.2 Mercantile 2.23 38.1 Food Sales 4.68 26.0 Education 1.43 36.6 Health Care 2.76 68.0 Service 1.39 9.1 Public Order and Safety 2.07 32.0 Warehouse and Storage 0.80 13.5 Office 2.01 29.8 Religious Worship 0.76 7.8 Public Assembly 1.73 24.6 Vacant 0.34 4.8 Lodging 1.72 61.5 Other 2.99 65.5 Note(s): Source(s): Mall buildings are no longer included in most CBECs tables; therefore, some data is not directly comparable to past CBECs. EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Oct. 2006, Table 4; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price deflators. Per Square Foot Per Building

46

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

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

47

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

48

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

49

Table 7.9 Expenditures for Purchased Energy Sources, 2010;  

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

9 Expenditures for Purchased Energy Sources, 2010; 9 Expenditures for Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Million U.S. Dollars. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 10,111 5,328 130 431 3,391 150 442 29 210 3112 Grain and Oilseed Milling 2,130 932 2 12 673 Q 294 0 158 311221 Wet Corn Milling 1,002 352 1 5 296 1 239 0 107 31131 Sugar Manufacturing 367 105 7 18 87 1 118 29 2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,408 698 17 Q 579 18 7 0 18 3115 Dairy Products 1,186 695 20 40 412 8 1 0 10 3116 Animal Slaughtering and Processing

50

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures ...  

U.S. Energy Information Administration (EIA)

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

51

Table CE3-3e. Electric Air-Conditioning Energy Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Electric Air-Conditioning Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli-

52

Table CE5-5.1u. Appliances Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE5-5.1u. Appliances1 Energy Consumption and Expenditures by Household Member and Demographics, 2001 Household Demographics RSE Column Factor:

53

Table CE5-6.1u. Appliances Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE5-6.1u. Appliances1 Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

54

Table CE2-5.1u. Space-Heating Energy Consumption and Expenditures ...  

U.S. Energy Information Administration (EIA)

Space-Heating Energy Consumption and Expenditures by Household Member and Demographics, 2001 Household ... Total Households Using a Major Space-Heating

55

Illinois Solar Energy Association - Renewable Energy Credit Aggregation  

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

Illinois Solar Energy Association - Renewable Energy Credit Illinois Solar Energy Association - Renewable Energy Credit Aggregation Program Illinois Solar Energy Association - Renewable Energy Credit Aggregation Program < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Solar Buying & Making Electricity Maximum Rebate $105/MWh) Program Info Start Date 01/01/2010 State Illinois Program Type Performance-Based Incentive Rebate Amount $105/MWh '''''RECAP is not currently accepting applications. The most recent solicitation closed April 30th, 2013. Check the program web site for information regarding future solicitations. ''''' The Illinois Solar Energy Association offers the Renewable Energy Credit Aggregation Program (RECAP) to Illinois solar photovoltaic (PV) system

56

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

8 8 Average Annual Energy Expenditures per Square Foot of Commercial Floorspace, by Year ($2010) Year $/SF 1980 (1) 2.12 1981 2.22 (2) 1982 2.24 1983 2.21 1984 2.25 1985 2.20 1986 2.06 1987 2.00 1988 1.99 1989 2.01 1990 1.98 1991 1.92 1992 1.86 1993 1.96 1994 2.05 1995 2.12 1996 2.10 1997 2.08 1998 1.97 1999 1.88 2000 2.06 2001 2.20 2002 2.04 2003 2.13 2004 2.16 2005 2.30 2006 2.36 2007 2.35 2008 1.71 2009 2.43 2010 2.44 2011 2.44 2012 2.35 2013 2.28 2014 2.27 2015 2.29 2016 2.29 2017 2.28 2018 2.29 2019 2.29 2020 2.29 2021 2.31 2022 2.32 2023 2.32 2024 2.32 2025 2.32 2026 2.32 2027 2.33 2028 2.32 2029 2.31 2030 2.31 2031 2.32 2032 2.35 2033 2.37 2034 2.39 2035 2.42 Note(s): Source(s): EIA, State Energy Data Prices and Expenditures Database, June 2011 for 1980-2009; EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Summary Reference Case Tables, Table A2, p. 3-5 and Table A5, p. 11-12 for consumption, Table A3, p. 6-8 for prices for 2008-2035; EIA, Annual Energy Review

57

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

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

Total Expenditures for Purchased Energy Sources by Census Region" Total Expenditures for Purchased Energy Sources by Census Region" " and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

58

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

59

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

60

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

Note: This page contains sample records for the topic "aggregate energy expenditures" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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61

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

62

2009 Energy Expenditure Per Person | Department of Energy  

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

Solar Energy Potential Solar Energy Potential Renewable Energy Production By State Renewable Energy Production By State 2009 Total Energy Production by State 2009 Total...

63

Aggregated Purchasing - A Clean Energy Strategy  

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

A number of organizations, including municipalities, state and federal agencies, businesses and even religious organizations are leading the way to a renewable energy future by using their collective buying power to purchase green power. The city of Chicago has formed an alliance with 47 other local government agencies to increase their reliance on clean energy sources. As part of this effort, Chicago has installed solar electric systems on a number of the city's buildings, including the Chicago Center for Green Technology shown here. City of Chicago Aggregated Purchasing-A Clean Energy Strategy SOLAR TODAY Aggregated Purchasing-A Clean Energy Strategy by Lori A. Bird and Edward A. Holt November/December 2002 35 Power generated from renewable resources, also known as "green" power, is

64

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

8 8 2035 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 63.4 13.0 1.6 7.7 0.8 23.1 0.2 20.6 107.2 20.9% Water Heating 23.8 2.2 1.2 3.4 35.8 63.0 12.3% Space Cooling 0.4 55.7 56.1 10.9% Lighting 47.8 47.8 9.3% Electronics (4) 27.2 27.2 5.3% Refrigeration (5) 27.0 27.0 5.3% Computers 14.8 14.8 2.9% Cooking 5.8 0.8 0.8 5.4 12.1 2.3% Wet Clean (6) 0.9 10.4 11.3 2.2% Ventilation (7) 2.4 2.4 0.5% Other (8) 9.3 0.4 12.6 2.0 15.0 88.8 113.2 22.0% Adjust to SEDS (9) 4.6 5.3 5.3 21.7 31.6 6.2% Total 108.2 21.0 1.6 22.3 2.8 47.6 0.2 357.8 513.8 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.8 billion) and motor gasoline other uses ($2.0 billion). 3) Includes furnace fans ($4.8 billion). 4) Includes color televisions ($14.2 billion). 5) Includes refrigerators ($24.1 billion) and freezers ($3.0

65

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2015 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 28.4 28.4 16.3% Space Heating 14.6 2.9 1.3 0.1 4.3 0.1 4.7 23.7 13.6% Ventilation 15.1 15.1 8.6% Space Cooling 0.3 14.2 14.5 8.3% Refrigeration 9.9 9.9 5.7% Electronics 8.8 8.8 5.1% Water Heating 4.1 0.7 0.7 2.5 7.3 4.2% Computers 5.3 5.3 3.0% Cooking 1.7 0.6 2.3 1.3% Other (4) 2.9 0.3 3.7 1.4 5.4 22.8 31.1 17.8% Adjust to SEDS (5) 5.8 4.5 4.5 17.7 28.1 16.1% Total 29.3 8.4 1.3 3.7 1.5 14.9 0.1 130.0 174.5 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.4 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

66

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

4 4 2010 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 35.4 35.4 19.7% Space Heating 15.0 2.9 0.9 0.1 3.9 0.1 8.5 27.5 15.3% Space Cooling 0.4 25.0 25.3 14.1% Ventilation 15.9 15.9 8.9% Refrigeration 11.6 11.6 6.5% Water Heating 4.0 0.6 0.6 2.7 7.3 4.1% Electronics 7.8 7.8 4.3% Computers 6.3 6.3 3.5% Cooking 1.6 0.7 2.3 1.3% Other (4) 2.7 0.3 3.3 1.2 4.8 20.4 28.0 15.6% Adjust to SEDS (5) 6.2 5.2 5.2 0.6 12.0 6.7% Total 29.9 9.0 0.9 3.3 1.3 14.5 0.1 134.8 179.4 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.2 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

67

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

5 5 2010 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 53.7 14.2 0.9 8.0 0.6 23.7 0.1 23.2 100.8 23.4% Space Cooling 0.4 61.3 61.7 14.3% Lighting 59.3 59.3 13.8% Water Heating 18.3 2.6 2.0 4.6 17.8 40.7 9.4% Refrigeration (4) 26.9 26.9 6.2% Electronics (5) 26.1 26.1 6.1% Ventilation (6) 15.9 15.9 3.7% Cooking 4.0 0.8 0.8 8.8 13.6 3.2% Computers 12.1 12.1 2.8% Wet Cleaning (7) 0.6 11.0 11.6 2.7% Other (8) 2.7 0.3 7.7 1.2 9.2 27.3 39.2 9.1% Adjust to SEDS (9) 6.2 5.2 5.2 11.9 23.4 5.4% Total 86.0 22.3 0.9 18.5 1.8 43.5 0.1 301.6 431.2 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.6 billion) and motor gasoline other uses ($1.2 billion). 3) Includes furnace fans ($4.5 billion). 4) Includes refrigerators ($24.1 billion) and freezers ($2.8 billion). 5) Includes color televisions ($11.0

68

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

6 6 2015 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Gas Distil. Resid. LPG Oth(2) Total Coal Total Percent Space Heating (3) 49.5 15.9 1.3 8.1 0.7 25.9 0.2 18.7 94.3 22.7% Space Cooling 0.3 48.0 48.3 11.6% Lighting 45.9 45.9 11.0% Water Heating 17.6 2.6 1.5 4.1 18.3 40.0 9.6% Refrigeration (4) 24.9 24.9 6.0% Electronics (5) 19.8 19.8 4.7% Ventilation (6) 15.1 15.1 3.6% Computers 11.6 11.6 2.8% Wet Cleaning (7) 0.6 10.8 11.4 2.7% Cooking 3.9 0.9 0.9 4.4 9.1 2.2% Other (8) 2.9 0.3 8.9 1.4 10.6 54.1 67.6 16.3% Adjust to SEDS (9) 5.8 4.5 4.5 17.7 28.1 6.7% Total 80.6 23.3 1.3 19.4 2.1 46.1 0.2 289.3 416.2 100% Note(s): Source(s): Petroleum Electricity 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.7 billion) and motor gasoline other uses ($1.4 billion). 3) Includes furnace fans ($4.6 billion). 4) Includes refrigerators ($22.6 billion) and freezers ($2.8 billion). 5) Includes color televisions ($10.9

69

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

7 7 2025 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 56.7 14.3 1.5 7.8 0.7 24.3 0.2 19.5 100.7 22.0% Space Cooling 0.3 50.5 50.9 11.1% Lighting 45.2 45.2 9.9% Water Heating 21.3 2.3 1.3 3.6 19.6 44.4 9.7% Refrigeration (4) 24.9 24.9 5.4% Electronics (5) 23.2 23.2 5.1% Computers 13.2 13.2 2.9% Wet Clean (6) 0.8 9.8 10.5 2.3% Cooking 4.8 0.8 0.8 4.9 10.5 2.3% Ventilation (7) 16.6 16.6 3.6% Other (8) 4.8 0.4 10.6 1.7 12.7 69.8 87.4 19.1% Adjust to SEDS (9) 5.9 4.9 4.9 19.2 30.0 6.6% Total 94.6 21.9 1.5 20.6 2.5 46.4 0.2 316.3 457.4 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.7 billion) and motor gasoline other uses ($1.7 billion). 3) Includes furnace fans ($4.7 billion). 4) Includes refrigerators ($22.3 billion) and freezers ($2.6 billion). 5) Includes color televisions ($12.0

70

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

6 6 2025 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 30.1 30.1 15.2% Space Heating 17.1 2.8 1.5 0.1 4.4 0.2 4.5 26.1 13.3% Electronics 11.2 11.2 5.7% Space Cooling 0.3 14.3 14.6 7.4% Water Heating 5.2 0.8 0.8 2.5 8.5 4.3% Computers 5.5 5.5 2.8% Refrigeration 9.4 9.4 4.8% Ventilation 16.6 16.6 8.4% Cooking 2.1 0.6 2.7 1.4% Other (4) 4.8 0.3 4.3 1.7 6.3 31.2 42.3 21.5% Adjust to SEDS (5) 5.9 4.9 4.9 19.2 30.0 15.2% Total 35.5 8.9 1.5 4.3 1.9 16.5 0.2 145.0 197.1 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.1 billion) and motor gasoline other uses ($1.7 billion). 3) Coal average price is from AEO 2011 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

71

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

7 7 2035 Commercial Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal (3) Electricity Total Percent Lighting 32.3 32.3 14.4% Space Heating 19.0 2.7 1.6 0.2 4.5 0.2 4.6 28.2 12.5% Water Heating 6.3 1.0 1.0 18.1 25.4 11.3% Space Cooling 0.4 15.1 15.5 6.9% Electronics 13.0 13.0 5.8% Refrigeration 10.0 10.0 4.4% Computers 6.0 6.0 2.7% Cooking 2.6 0.6 3.2 1.4% Ventilation 2.4 2.4 1.1% Other (4) 9.3 0.4 4.9 2.0 7.2 40.9 57.5 25.5% Adjust to SEDS (5) 4.6 5.3 5.3 21.7 31.6 14.0% Total 42.2 9.4 1.6 4.9 2.2 18.0 0.2 164.8 225.1 100% Note(s): Source(s): 1) Expenditures include coal and exclude wood. 2) Includes kerosene space heating ($0.2 billion) and motor gasoline other uses ($2.0 billion). 3) Coal average price is from AEO 2012 Early Release, all users price. 4) Includes service station equipment, ATMs, medical equipment,

72

Table CE1-6.2u. Total Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE1-6.2u. Total Energy Consumption and Expenditures by Square Feet and Usage Indicators, 2001 Usage Indicators RSE Column Factor: Total End-Use Energy

73

Public Sector Energy Efficiency Aggregation Program | Department of Energy  

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

Public Sector Energy Efficiency Aggregation Program Public Sector Energy Efficiency Aggregation Program Public Sector Energy Efficiency Aggregation Program < Back Eligibility Fed. Government Institutional Local Government Nonprofit Schools State Government Savings Category Other Maximum Rebate $4,000,000 Program Info Expiration Date 3/22/2013 State Illinois Program Type State Grant Program Rebate Amount $500,000-$4,000,000 Provider Illinois Department of Commerce and Economic Opportunity The Illinois Department of Commerce and Economic Opportunity (DCEO) administers the Illinois Energy Now programs, including the Public Sector Energy Efficiency Aggregation Program. The program will allow public sector participants to combine energy efficiency projects in order to simplify the application process and implement projects that might otherwise be

74

2009 Energy Expenditure Per Person | Department of Energy  

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

Act -Energy Sector Jobs -Education & Training -Funding Opportunities --Grants -Prices & Trends -Energy Policy Environmental Cleanup -Emergency Response & Procedures or Search...

75

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

76

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U ...  

U.S. Energy Information Administration (EIA)

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region

77

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

1972. 5,415 -26: 13,198 : 7,552: 1,682: 2,834 : 35,346 : ... 8 Asphalt and road oil, aviation gasoline, kerosene, ... "State Energy Data 2010: Prices and Expenditures"

78

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty

79

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households by Four Most Populated States, 2001 RSE Column Factor: Total U.S. Four Most Populated States

80

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

7. Total Expenditures for Purchased Energy Sources by Census Region," 7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

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


81

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

6. Total Expenditures for Purchased Energy Sources by Census Region," 6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States"

82

2009 Energy Expenditure Per Person | Department of Energy  

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

Design --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water ---Carbon Capture & Sequestration -Consumption -Smart Grid Science &...

83

Performance Contracting and Energy Efficiency in the State Government Market  

E-Print Network (OSTI)

10 Table 9. Baseline annual energy consumption (million10. Baseline annual energy consumption of State governmenton aggregate energy consumption, expenditures and energy

Bharvirkar, Ranjit

2008-01-01T23:59:59.000Z

84

An Aggregation Tree Constructing Algorithm Based on Energy Consumption Assessment  

Science Conference Proceedings (OSTI)

This paper first gives an analysis of Data Aggregation and Data Compression based on the energy consumption of sensor nodes, after which an approach is proposed to construct an aggregation tree in the case of non-perfect aggregation since GIT considers ...

Dayang Sun; Yanheng Liu; Aimin Wang

2007-10-01T23:59:59.000Z

85

Energy consumption and expenditure projections by population group on the basis on the annual energy outlook 2000 forecast.  

SciTech Connect

The changes in the patterns of energy use and expenditures by population group are analyzed by using the 1993 and 1997 Residential Energy Consumption Surveys. Historically, these patterns have differed among non-Hispanic White households, non-Hispanic Black households, and Hispanic households. Patterns of energy use and expenditures are influenced by geographic and metropolitan location, the composition of housing stock, economic and demographic status, and the composition of energy use by end-use category. As a consequence, as energy-related factors change across groups, patterns of energy use and expenditures also change. Over time, with changes in the composition of these factors by population group and their variable influences on energy use, the impact on energy use and expenditures has varied across these population groups.

Poyer, D. A.; Decision and Information Sciences

2001-05-31T23:59:59.000Z

86

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

4. Total Expenditures for Purchased Energy Sources by Census Region," 4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:","0.6 ",0.6,1.3,1.3,0.7,1.2,1.2,1.5,1.1

87

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

SciTech Connect

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

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

88

Small Generator Aggregation (Maine) | Department of Energy  

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

Generator Aggregation (Maine) Generator Aggregation (Maine) Small Generator Aggregation (Maine) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maine Program Type Green Power Purchasing Provider Public Utilities Commission This section establishes requirements for electricity providers to purchase

89

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

Science Conference Proceedings (OSTI)

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

Johnson, M.

1984-12-01T23:59:59.000Z

90

Energy consumption and expenditure projections by income quintile on the basis of the Annual Energy Outlook 1997 forecast  

SciTech Connect

This report presents an analysis of the relative impacts of the base-case scenario used in the Annual Energy Outlook 1997, published by the US Department of Energy, Energy Information Administration, on income quintile groups. Projected energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1993 to 2015 are reported. Projected consumption of electricity, natural gas, distillate fuel, and liquefied petroleum gas over this period is also reported for each income group. 33 figs., 11 tabs.

Poyer, D.A.; Allison, T.

1998-03-01T23:59:59.000Z

91

Municipal Aggregation and Retail Competition in the Ohio Energy Sector  

E-Print Network (OSTI)

Ohio allows communities to vote to aggregate the loads of individual consumers (unless they opt out) in order to seek a competitive energy supplier. Over 200 communities have voted to do this for electricity. By 2004 residential switching reached 69 % in Cleveland territory (95 % from municipal aggregation) but by 2006 had fallen to 8%. Savings are now small, but customer acquisition costs are low and the cost to consumers is negligible. Aggregation and retail competition have been thwarted by Rate Stabilization Plans holding incumbent utility prices below cost since 2006. In the Ohio gas sector, rate regulation has not discouraged aggregation and competition, but market prices falling below municipally negotiated rates can be politically embarrassing. How municipal aggregation would fare against individual choice in a market conducive to retail competition is an open question, but the policy deserves consideration elsewhere.

Stephen Littlechild; Stephen Littlechild

2007-01-01T23:59:59.000Z

92

Table 2.10 Commercial Buildings Energy Consumption and Expenditure ...  

U.S. Energy Information Administration (EIA)

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

93

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

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

94

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

95

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

Open Energy Info (EERE)

the 111.1 million housing units in the United States. Data were obtained from residential energy suppliers for each unit in the sample to produce the data.

...

96

Diacylglycerol Oil, 2nd Edition Chapter 5 The Effect of Diacylglycerols on Energy Expenditure and Substrate Utilization in Humans  

Science Conference Proceedings (OSTI)

Diacylglycerol Oil, 2nd Edition Chapter 5 The Effect of Diacylglycerols on Energy Expenditure and Substrate Utilization in Humans Food Science Health Nutrition Biochemistry eChapters Food Science & Technology Health - Nutrition - Bioc

97

Diacylglycerol Oil, 2nd EditionChapter 4 Activation of Lipid Metabolism and Energy Expenditure by Dietary Diacylglycerol  

Science Conference Proceedings (OSTI)

Diacylglycerol Oil, 2nd Edition Chapter 4 Activation of Lipid Metabolism and Energy Expenditure by Dietary Diacylglycerol Food Science Health Nutrition Biochemistry eChapters Food Science & Technology Health - Nutrition - Biochemistry

98

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

Science Conference Proceedings (OSTI)

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

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

1987-01-01T23:59:59.000Z

99

Household Energy Expenditure and Income Groups: Evidence from Great Britain  

E-Print Network (OSTI)

and 0.024 for districtheatingHowever,asincomeisnotobserveditseffectcannotbeanalysed. Wuetal.(2004)examinethedemandforspaceheatinginArmenia,Moldova,and Kyrgyz Republic using household survey data. In these countries... andinsomeregionsincomesarenotsufficientto affordspaceheatingfromdistrictheatingsystemsmakingthesesystemsunviable. We analyse electricity, gas and overall energy spending for a large sample of households in Great Britain. We discern inflection points and discuss...

Jamasb, Tooraj; Meier, H

100

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 Energy Service Company (ESCO) Industry Activity ($Million Nominal) (1) Low High 1990 143 342 Market Segment Share 1991 218 425 MUSH (2) 69% 1992 331 544 Federal 15% 1993 505 703 Commercial & Industrial 7% 1994 722 890 Residential 6% 1995 1,105 1,159 Public Housing 3% 1996 1,294 1,396 1997 1,394 1,506 1998 1,551 1,667 2008 Revenues by Project/Technology Type 1999 1,764 1,925 2000 1,876 2,186 Market Segment Share 2001 - - Energy Efficiency 75% 2002 - - Onsite Renewables 14% 2003 - - Engine/Turbine Generators 6% 2004 2,447 2,507 Consulting/Master Planning 3% 2005 2,949 3,004 Other 2% 2006 3,579 3,627 2007 - - 2008 4,087 4,171 Note(s): Source(s): Estimated Revenue ($Million Nominal) (1) 2008 Revenue Sources 1) Estimates based on surveys of major ESCOs and input from industry experts. 2) Includes municipal and state governments, universities

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

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

Econometric Estimation of the Aggregate Impacts of Energy Efficiency Econometric Estimation of the Aggregate Impacts of Energy Efficiency Programs: Report on a California Pilot Study Speaker(s): Marvin J. Horowitz Date: February 26, 2013 - 2:00pm Location: 90-3075 Seminar Host/Point of Contact: Alan Sanstad The California Public Utilities Commission (CPUC) recently funded a study in which local area aggregated electricity and natural gas consumption in California from 2006 through 2010 were analyzed econometrically. Data were available to estimate electricity energy efficiency program impacts for two of the three large California investor-owned utilities. The findings indicate that net savings from these programs for the 2006-2010 period amounted to 11,391 GWh, or 7.3 percent of annual electricity consumption. This point estimate is 50 percent higher than the CPUC

102

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 Commercial Energy Prices, by Year and Fuel Type ($2010) Electricity Natural Gas Distillate Oil Residual Oil ($/gal) ($/gal) 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 9.39 104.50 2.79 3.78 9.35 104.74 2.81 3.81 9.47 101.25 2.73 3.69 9.40 103.22 2.76 3.75 9.54 99.28 2.67 3.60 9.51 100.49 2.70 3.64 9.52 94.53 2.66 3.52 9.55 97.45 2.64 3.55 9.46 90.92 2.61 3.46 9.48 92.13 2.63 3.49 9.49 87.65 2.54 3.41 9.47 89.48 2.58 3.42 9.58 85.91 2.41 3.28 9.54 86.36 2.49 3.34 9.57 87.02 2.07 2.97 9.52 84.58 2.26 3.14 10.09 86.14 2.34 3.55 9.76 87.22 2.37 3.57 10.27 97.87 1.49 2.03 10.14 90.95 1.66 2.86 10.04 114.33 1.51 2.47 10.56 121.16 2.01 3.34 9.59 121.45 1.24 2.07 10.13 124.31 1.39 2.32 9.44 94.94 0.93 1.23

103

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

104

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 Building Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Residential Buildings Commercial Buildings Building Electricity Natural Gas Petroleum (1) Avg. Electricity Natural Gas Petroleum (2) Avg. Avg. (3) 1980 36.40 8.35 16.77 17.64 37.22 7.70 13.06 18.52 17.99 1981 38.50 8.88 18.35 19.09 39.06 8.29 14.78 20.56 19.68 1982 40.15 10.08 17.28 19.98 40.15 9.40 13.28 21.21 20.48 1983 40.43 11.30 16.08 21.00 39.51 10.43 12.53 21.55 21.23 1984 38.80 11.02 15.61 20.20 38.68 10.00 12.04 21.14 20.58 1985 38.92 10.68 14.61 20.10 38.29 9.60 11.68 21.41 20.63 1986 38.24 9.98 11.88 19.38 37.09 8.69 7.85 20.17 19.70 1987 37.29 9.22 11.23 18.73 34.93 7.93 8.16 19.14 18.90 1988 36.22 8.80 10.83 18.02 33.60 7.45 7.47 18.24 18.11 1989 35.67 8.71 11.96 17.93 33.06 7.34 8.13 18.29 18.07 1990 35.19 8.63 13.27 18.64 32.49 7.20 9.31 18.62 18.63 1991 34.88 8.38 12.49 18.31

105

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

Commercial Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Electricity Natural Gas Petroleum (1) Average 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 (2) 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 27.39 10.47 27.48 21.15 27.10 10.45 27.73 21.01 27.56 10.32 27.04 21.10 27.52 10.45 27.28 21.18 27.86 10.05 26.41 21.06 27.74 10.12 26.73 21.07 28.00 9.75 25.85 20.90 27.96 9.93 26.16 21.01 27.78 9.21 25.46 20.46 27.90 9.45 25.69 20.67 27.76 8.95 24.95 20.23 27.72 9.09 25.24 20.32 27.96 8.64 24.34 20.11 27.81 8.77 24.80 20.14 27.91 8.46 23.15 19.90 28.07 8.59 24.07 20.11 28.61 8.72 23.94 20.36 28.05 8.70 22.00 19.99 29.73 9.10 20.28 20.99 29.57 8.61 24.24 21.03 30.95 12.12 23.75 23.21 30.09 9.79 15.83 21.13 29.70

106

Buildings Energy Data Book: 1.2 Building Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 Building Energy Prices, by Year and Fuel Type ($2010) (cents/therm) (cents/gal) ($/gal) 1980 12.42 83.51 1.53 2.24 12.70 77.01 1.43 2.05 1981 13.14 88.83 1.47 2.51 13.33 82.90 1.63 2.32 1982 13.70 100.83 1.54 2.30 13.70 93.95 1.40 2.11 1983 13.79 113.04 1.51 2.14 13.48 104.33 1.30 1.75 1984 13.24 110.16 1.46 2.10 13.20 100.01 1.37 1.68 1985 13.28 106.80 1.37 1.96 13.06 95.96 1.21 1.56 1986 13.05 99.76 1.25 1.54 12.66 86.86 0.71 1.01 1987 12.72 92.16 1.22 1.42 11.92 79.32 0.79 1.05 1988 12.36 87.96 1.15 1.39 11.46 74.52 0.62 0.95 1989 12.17 87.08 1.39 1.48 11.28 73.39 0.70 1.07 1990 12.01 86.28 1.40 1.69 11.08 72.04 0.78 1.26 1991 11.90 83.77 1.34 1.56 10.97 69.49 0.58 1.11 1992 11.87 82.80 1.24 1.40 10.93 68.64 0.58 1.01 1993 11.78 84.73 1.19 1.33 10.81 71.91 0.58 0.96 1994 11.62 86.30 1.25 1.27 10.57 74.09 0.60 0.90 1995 11.41 79.96 1.22 1.22 10.32 66.99 0.64 0.88 1996 11.13 82.07 1.36 1.37

107

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

SciTech Connect

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

Not Available

1980-07-01T23:59:59.000Z

108

Incorporating Aggregated PV Systems into the Power Grid | Open Energy  

Open Energy Info (EERE)

Incorporating Aggregated PV Systems into the Power Grid Incorporating Aggregated PV Systems into the Power Grid Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Spain Installed Wind Capacity Website Focus Area: Renewable Energy Topics: Market Analysis Website: www.gwec.net/index.php?id=131 Equivalent URI: cleanenergysolutions.org/content/spain-installed-wind-capacity-website Language: English Policies: Regulations Regulations: Feed-in Tariffs This website presents an overview of total installed wind energy capacity in Spain per year from 2000 to 2010. The page also presents the main market developments from 2010; a policy summary; a discussion of the revision in feed-in tariffs in 2010; and a future market outlook. References Retrieved from "http://en.openei.org/w/index.php?title=Incorporating_Aggregated_PV_Systems_into_the_Power_Grid&oldid=514463

109

Nonresidential buildings energy consumption survey: 1979 consumption and expenditures. Part 2. Steam, fuel oil, LPG, and all fuels  

Science Conference Proceedings (OSTI)

This report presents data on square footage and on total energy consumption and expenditures for commercial buildings in the contiguous United States. Also included are detailed consumption and expenditures tables for fuel oil or kerosene, liquid petroleum gas (LPG), and purchased steam. Commercial buildings include all nonresidential buildings with the exception of those where industrial activities occupy more of the total square footage than any other type of activity. 7 figures, 23 tables.

Patinkin, L.

1983-12-01T23:59:59.000Z

110

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

111

The federal energy policy: An example of its potential impact on energy consumption and expenditures in minority and poor households  

SciTech Connect

This report presents an analysis of the relative impacts of the National Energy Strategy on majority and minority households and on nonpoor and poor households. (Minority households are defined as those headed by black or Hispanic persons; poor households are defined as those having combined household income less than or equal to 125% of the Office of Management and Budget`s poverty-income threshold.) Energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1987 to 2009 are reported. Projected consumptions of electricity and nonelectric energy over this period are also reported for each group. An analysis of how these projected values are affected under different housing growth scenarios is performed. The analysis in this report presents a preliminary set of projections generated under a set of simplifying assumptions. Future analysis will rigorously assess the sensitivity of the projected values to various changes in a number of these assumptions.

Poyer, D.A.

1991-09-01T23:59:59.000Z

112

Buildings Energy Data Book: 4.3 Federal Buildings and Facilities Expenditures  

Buildings Energy Data Book (EERE)

2 2 Annual Energy Expenditures per Gross Square Foot of Federal Floorspace Stock, by Year ($2010) FY 1985 2.13 FY 2000 1.36 FY 2001 1.58 FY 2002 1.49 FY 2003 1.45 FY 2004 1.54 FY 2005 1.59 FY 2006 2.01 (1) FY 2007 2.01 Note(s): Source(s): Total Federal buildings and facilities energy expenditures in FY 2006 were $5.79 billion (in $2010). 1) Increase due to change in FEMP categorization of Federal buildings. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-9, p. 97 and Table 1, p. 13; DOE/FEMP, Annual Report to Congress on FEMP, Nov. 2008, Table A-9, p. 78 for energy costs, and Table 1, p. 12 for floorspace for 2006; DOE/FEMP, Annual Report to Congress on FEMP, Sep. 2006, Table A-12, p. 158 for energy costs for 1985-2005; DOE/FEMP, Annual Report on FEMP, Dec. 2002, Table 8-A, p. 61 for 2000; DOE/FEMP, Annual

113

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

Science Conference Proceedings (OSTI)

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

Not Available

1987-03-04T23:59:59.000Z

114

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

SciTech Connect

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

Not Available

1987-05-13T23:59:59.000Z

115

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

SciTech Connect

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

116

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

SciTech Connect

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

117

The impact of the Persian Gulf crisis on household energy consumption and expenditure patterns  

Science Conference Proceedings (OSTI)

The Iraqi invasion of the Kingdom of Kuwait on August 2, 1990, and the subsequent war between Iraq and an international alliance led by the United States triggered first immediate and then fluctuating world petroleum prices. Increases in petroleum prices and in U.S. petroleum imports resulted in increases in the petroleum prices paid by U.S. residential, commercial, and industrial consumers. The result was an immediate price shock that reverberated throughout the U.S. economy. The differential impact of these price increases and fluctuations on poor and minority households raised immediate, significant, and potentially long-term research, policy, and management issues for a variety of federal, state, and local government agencies, including the U.S. Department of Energy (DOE). Among these issues are (1) the measurement of variations in the impact of petroleum price changes on poor, nonpoor, minority, and majority households; (2) how to use the existing policy resources and policy innovation to mitigate regressive impacts of petroleum price increases on lower-income households; and (3) how to pursue such policy mitigation through government agencies severely circumscribed by tax and expenditure limitations. Few models attempt to assess household energy consumption and energy expenditure under various alternative price scenarios and with respect to the inclusion of differential household choices correlated with such variables as race, ethnicity, income, and geographic location. This paper provides a preliminary analysis of the nature and extent of potential impacts of petroleum price changes attributable to the Persian Gulf War and its aftermath on majority, black, and Hispanic households and on overlapping poor and nonpoor households. At the time this was written, the Persian Gulf War had concluded with Iraq`s total surrender to all of the resolutions and demands of the United Nations and United States.

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

1994-09-01T23:59:59.000Z

118

Table CE3-1e. Electric Air-Conditioning Energy Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Dollars per Household4,a Electric Air-Conditioning Expenditures per Household ... per Household4 2001 Cooling Degree-Days per Household Total U.S. Households ...

119

Table 3.6 Consumer Expenditure Estimates for Energy by End ...  

U.S. Energy Information Administration (EIA)

1999. 31,577 : 11,397 : 93,482: ... Expenditures include taxes where data are ... includes fuel ethanol blended into motor gasoline that is not ...

120

Efficient Fster energy transfer : from phosphorescent organic molecules to J-aggregate thin film  

E-Print Network (OSTI)

This thesis demonstrates the first ever use of Forster resonance energy transfer (FRET) to increase the quantum efficiency of a electrically pumped J-aggregate light emitting device (JLED). J-aggregate thin films are highly ...

Shirasaki, Yasuhiro

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Fuel choice and aggregate energy demand in the commercial sector  

SciTech Connect

This report presents a fuel choice and aggregate-demand model of energy use in the commercial sector of the United States. The model structure is dynamic with short-run fuel-price responses estimated to be close to those of the residential sector. Of the three fuels analyzed, electricity consumption exhibits a greater response to its own price than either natural gas or fuel oil. In addition, electricity price increases have the largest effect on end-use energy conservation in the commercial sector. An improved commercial energy-use data base is developed which removes the residential portion of electricity and natural gas use that traditional energy-consumption data sources assign to the commercial sector. In addition, household and commercial petroleum use is differentiated on a state-by-state basis.

Cohn, S.

1978-12-01T23:59:59.000Z

122

Capital expenditures of leading petroleum companies 1968-1982  

Science Conference Proceedings (OSTI)

A review of aggregate capital expenditures by 37 leading US petroleum companies from 1968 through 1982 examines data from several vantages, including capital expenditures by geographical and functional segment and in relation to sources of funds. The paper responds to a number of issues raised during and after the Arab oil embargo, when widespread public concern developed over the economic and security implications of US dependence on foreign energy supplies and over whether US petroelum companies were adequately using their profits to assure sufficient supplies. Contrary to the allegations made, this study finds that capital expenditures increased and were largely directed toward exploration and production in the US, with only a small proportion going to non-petroleum, non-energy purposes. 2 figures, 17 tables.

Gal, N.P.

1984-01-01T23:59:59.000Z

123

Municipal Aggregation and Retail Competition in the Ohio Energy Sector  

E-Print Network (OSTI)

& Electric (CG&E), now Duke Energy (Ohio) 0.7m Dayton Power and Light (DP&L) 0.5m. There are also 25 rural electric companies (or co-ops), serving nearly 0.4m customers.15 Senate Bill 3, signed into law in 1999, provided for the market to open... communities Actual number of aggregating communities Ratio Actual to Proportionate Average low income electricity bill 2002 First Energy CEI 0.7 31 104 3.35 $77 OE 1.1 49 65 1.33 $67 TE 0.3 13 14 1.08 CGE/Duke 0.7 31 8 0.26 $52...

Littlechild, Stephen C

124

Econometric Estimation of the Aggregate Impacts of Energy Efficiency...  

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

Public Utilities Commission (CPUC) recently funded a study in which local area aggregated electricity and natural gas consumption in California from 2006 through 2010 were analyzed...

125

Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate  

E-Print Network (OSTI)

1 Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate Flexible batteries, with renewable energy resources. We formulate a stochastic optimal control problem that describes and the degree to which the aggregator can respond to dynamic pricing. Index Terms--Dynamic pricing, renewable

Oren, Shmuel S.

126

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

127

Nanocrystal/J-aggregate constructs : chemistry, energy transfer, and applications  

E-Print Network (OSTI)

The interaction of light with matter is one of the most central subjects to modern chemistry. Two types of materials, semiconductor nanocrystals and J-aggregates of cyanine dyes, have been developed chiefly due to their ...

Walker, Brian J. (Brian Jacob)

2011-01-01T23:59:59.000Z

128

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

SciTech Connect

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

1998-10-01T23:59:59.000Z

129

1997 Consumption and Expenditures-Detailed Data Tables  

U.S. Energy Information Administration (EIA)

1997 Resdiential Energy Consumption Survey(RECS)-1997 Consumption and Expenditures-1997 Detailed Tables, Energy Information Administration

130

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE4-1e. Water-Heating Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD ...

131

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE5-1e. Appliances1 Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone2 RSE Row Factors Fewer than 2,000 CDD and --

132

2005 RECS Consumption and Expenditures Detailed Tables  

U.S. Energy Information Administration (EIA)

Detailed Consumption and Expenditures (C&E) tables containing Space Heating, Air-Conditioning, Water Heating, and Appliance residential energy data are now available.

133

Short communication: Correcting aggregate energy consumption data to account for variability in local weather  

Science Conference Proceedings (OSTI)

There is a growing need in the atmospheric modeling community for city-scale energy consumption data to estimate the magnitude of waste heat emissions in urban areas. While energy consumption data are widely available at aggregate space and time scales ... Keywords: Anthropogenic heating, Atmospheric modeling, Degree days, Energy models, Load modeling, Urban climate

David J. Sailor; Chittaranjan Vasireddy

2006-05-01T23:59:59.000Z

134

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network (OSTI)

Arnold Schwarzenegger Governor COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX G Aggregation Guide is the interim report for the Community Choice Aggregation Pilot Program project (Contract Community Choice Aggregation Guide. California Energy Commission, PIER Renewable Energy Technologies

135

SEDS CSV File Documentation: Price and Expenditure  

Gasoline and Diesel Fuel Update (EIA)

Prices and Expenditures Prices and Expenditures The State Energy Data System (SEDS) comma-separated value (CSV) files contain the price and expenditure estimates shown in the tables located on the SEDS website. There are three files that contain estimates for all states and years. Prices contains the price estimates for all states and Expenditures contains the expenditure estimates for all states. The third file, Adjusted Consumption for Expenditure Calculations contains adjusted consumption estimates used in calculating expenditures (see Appendix E below). Zip files are also available for the large data files. In addition, there is a CSV file for each state, named with the two-letter U.S. Postal Code listed in Appendix A, as well as a file for the United States.

136

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook Energy Disruptions International Energy Outlook ... 1984: 29,025-22: 77,169: 44,668: 15,097: R 14,197:

137

Energy efficiency and QoS optimisations of IEEE 802.11 communications using frame aggregation  

Science Conference Proceedings (OSTI)

This paper introduces a new mechanism for IEEE 802.11 infrastructure networks that allows to save energy on battery powered devices by adding some processing on the wireless Access Point (AP). Although the main advantage of this mechanism is ... Keywords: IEEE 80211, MAC, QoS, WLANs, battery powered devices, embedded devices, energy consumption, energy efficiency, frame aggregation, latency, local area networks, medium access control, optimisation, quality of service, wireless LANs, wireless networks

Jean Lorchat; Thomas Noel

2006-02-01T23:59:59.000Z

138

Table 2.5 Household Energy Consumption and Expenditures by End Use ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook ... 1984: 20.66: 4.62: 8.51: 2.00: 35.79: 7.06: 6.63: 6.44: 1.09.58: 14.74: 2.31: 36.36.54: 39.21: 1987: 18.05: 5 ...

139

Photoinduced Charge and Energy Transfer Processes in Molecular Aggregates  

DOE Green Energy (OSTI)

This project involved the experimental probing of the electronic excited states generated by photoinduced (center-to-center) electron and energy transfer processes in several classes of transition metal donor/acceptor (D/A) complexes. Some of the general properties inferred from these studies should be useful in the design of new systems for energy conversion applications. Pursuit of the project goals has involved the determination of electron transfer efficiencies and the detailed study of variations in the electronic spectra of D/A complexes. This has resulted in the study of some very fundamental issues of photoinduced charge transfer and the identification of some of the constraints on its efficiency. The experimental studies of the competition between the degradative non-radiative unimolecular relaxation of transition metal excited states and their transfer of charge from these excited states to external acceptors have involved a range of techniques such as transient decay kinetics, photoacoustic calorimetry and transient or stationary state spectroscopy. The substrates synthesized for these studies were selected to provide model systems, or series of model systems to probe the validity of models of electronic excited states and their reactivity. The work during the last few years has focused largely, but not exclusively, on the use of emission spectral band shapes to probe the properties of charge transfer (CT) excited states. Bandshape variations are one of the very few approaches for systematically probing electronic excited states and good band shape resolution is necessary in order to gain information about the structural variations that correlate with excited state reactivity. Differences in molecular structure correlate with differences in chemical reactivity, and the variations in emission bandshapes are well known to relate to variations in the molecular structural differences between the excited and ground electronic states. However, it is has been rarely noticed that configurational mixing of the lowest energy excited state with other electronic states leads to unique distortions of the lowest energy excited state which result in modifications in the vibronic structure and bandshape of the emission. We have used the emission sideband shapes to evaluate patterns of ground state-excited state and excited state-excited state configurational mixing in some simple series of complexes.

John F. Endicott

2009-10-20T23:59:59.000Z

140

Buildings Energy Data Book: 4.3 Federal Buildings and Facilities Expenditures  

Buildings Energy Data Book (EERE)

3 3 Direct Appropriations on Federal Buildings Energy Conservation Retrofits and Capital Equipment ($2010 Million) FY 1985 FY 1986 FY 1987 FY 1988 FY 1989 FY 1990 Source(s): DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table 11-B, p. 31; DOE/FEMP, Annual Report to Congress on FEMP, Nov. 2007, Table 9-B, p. 26 for 1985, 1990, 1995, 2000-2006; DOE/FEMP, Annual Report to Congress on FEMP, Sep. 2004, Table 4-B, p. 38 for 1986-1989, 1991-1994, 1996-1999; EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price deflators. 349,350 102,135 FY 1996 238,232 FY 2002 147,895 83,340 FY 1995 438,943 FY 2001 162,488 FY 2007 321,686 108,705 FY 1994 318,739 FY 2000 150,900 FY 2006 301,222 98,708 FY 1993 170,826 FY 1999 261,784 FY 2005 201,156 342,653 FY 1992 209,973

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Using Aggregated Distributed Energy Resources for Economic Dispatch to an Independent System Operator 2007 Update  

Science Conference Proceedings (OSTI)

Utility distribution companies and other organizations are interested in the potential of aggregating electricity generated by distributed energy resources (DER) and selling the power to the wholesale market during periods of peak system demand for a number of years. A few pilot projects have been undertaken, but this type of DER application remains uncommon. This project is one of several underway in EPRI's program to help identify and quantify the potential value and business case of DER. This report u...

2008-02-28T23:59:59.000Z

142

Using Aggregated Distributed Energy Resources for Economic Dispatch to an Independent System Operator  

Science Conference Proceedings (OSTI)

Utility distribution companies and other organizations have been interested in the potential of aggregating electricity generated by distributed energy resources (DER) and selling the power to the wholesale market during periods of peak system demand for a number of years. A few pilot projects have been undertaken, but this type of DER application is uncommon. This project is one of several underway in EPRI's program to help identify and quantify the potential value and business case of DER. Also work in...

2007-03-30T23:59:59.000Z

143

DTE Energy Technologies With Detroit Edison Co. and Kinectrics Inc.: Distributed Resources Aggregation Modeling and Field Configuration Testing  

Science Conference Proceedings (OSTI)

Summarizes the work of DTE Energy Technologies, Detroit Edison, and Kinectrics, under contract to DOE's Distribution and Interconnection R&D, to develop distributed resources aggregation modeling and field configuration testing.

Not Available

2003-10-01T23:59:59.000Z

144

Chapter 4. Fuel Economy, Consumption and Expenditures  

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

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

145

Coordinated Aggregation  

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

Coordinated Coordinated Aggregation of Distributed Energy Resources Alejandro Dominguez-Garcia Univ of Illinois Pravin Varaiya & Kameshwar Poolla UC Berkeley August 6, 2013 Dominguez-Garcia, Poolla, Varaiya CERTS Review 2013 August 6, 2013 0 / 45 Our Research Group Students Anand Subramanian, Justin Hughes Jared Porter, Zach Lerner Post-docs Ashutosh Nayyar He Hao, Borhan Sanandaji Faculty Alejandro Dominguez-Garcia Kameshwar Poolla, Pravin Varaiya Dominguez-Garcia, Poolla, Varaiya CERTS Review 2013 August 6, 2013 0 / 45 CERTS Research Activities Network case of Risk-Limiting Dispatch Improved Load Forecasting with fine-grain measurements Coordinated Aggregation of Distributed Resources Dominguez-Garcia, Poolla, Varaiya CERTS Review 2013 August 6, 2013 1 / 45 Risk Limiting Dispatch Dominguez-Garcia, Poolla, Varaiya CERTS Review 2013 August

146

Relationship Between Surface Free Energy and Total Work of Fracture of Asphalt Binder and Asphalt Binder-Aggregate Interfaces  

E-Print Network (OSTI)

Performance of asphalt mixtures depends on the properties of its constituent materials, mixture volumetrics, and external factors such as load and environment. An important material property that influences the performance of an asphalt mixture is the surface free energy of the asphalt binder and the aggregate. Surface free energy, which is a thermodynamic material property, is directly related to the adhesive bond energy between the asphalt binder and the aggregate as well as the cohesive bond energy of the asphalt binder. This thermodynamic material property has been successfully used to select asphalt binders and aggregates that have the necessary compatibility to form strong bonds and resist fracture. Surface free energy, being based on thermodynamics, assumes the asphalt binder is a brittle elastic material. In reality, the asphalt binder is not brittle and dissipates energy during loading and unloading. The total work of fracture is the culmination of all energy inputted into the sample to create two new surfaces of unit area and is dependent on the test geometry and testing conditions (e.g., temperature, loading rate, specimen size, etc.). The magnitude of the bond energy (either adhesive or cohesive) can be much smaller in magnitude when compared to the total work of fracture measured using mechanical tests (i.e., peel test, pull-off test, etc.). Despite the large difference in magnitude, there exists evidence in the literature supporting the use of the bond energy to characterize the resistance of composite systems to cohesive and/or adhesive failures. If the bond energy is to be recognized as a useful screening tool by the paving industry, the relationship between the bond energy and total work of fracture needs to be understood and verified. The effect of different types of modifications (addition of polymers, addition of anti-strip agents, and aging) on the surface free energy components of various asphalt binders was explored in order to understand how changes in the surface free energy components are related to the performance of the asphalt mixtures. After the asphalt binder-aggregate combination was explored, the next step was to study how the surface free energy of water was affected by contact with the asphalt binder-aggregate interface. Aggregates, which have a pH of greater than seven, will cause the pH of water that contacts them to increase. A change in the pH of the contacting water could indicate a change in its overall surface free energy, which might subsequently increase or decrease the water's moisture damage potential. With surface free energy fully explored, the total work of fracture was measured using pull-off tests for asphalt binder-aggregate combinations with known surface free energy components. In order to fully explore the relationship between bond energy and total work of fracture, temperature, loading rate, specimen geometry, and moisture content were varied in the experiments. The results of this work found that modifications made to the asphalt binder can have significant positive or negative effects on its surface free energy components and bond energy. Moreover, the results from the pull-off tests demonstrated that a relationship exists between bond energy (from surface free energy) and total work of fracture (from pull-off tests), and that surface free energy can be used to estimate the performance of asphalt binder-aggregate combinations.

Howson, Jonathan Embrey

2011-08-01T23:59:59.000Z

147

A comparative analysis of energy demand and expenditures by minority and majority households within the context of a conditional demand system  

SciTech Connect

Analysis and evaluation of the impact that programs and policies have on energy consumption and expenditures are confounded by many intervening variables. A clear understanding of how these variables influence energy consumption patterns should be grounded in a rigorously developed framework. In this regard much is documented in the literature. However, an analysis of the comparative relationship between energy demand and variables which influence it among different socioeconomic groups has not been thoroughly explored with any theoretical rigor. It is proposed that differences in patterns of energy use between black, Hispanic, and majority households (where the household head is neither black nor Hispanic) are due to both structural and distribution differences. It is felt that the structural dissimilarities are primarily due to the dynamic nature in which energy consumption patterns evolve, with differences in changing housing patterns playing a significant role. For minorities, this implies a potential difference in the effect of policy and programs on economic welfare when compared to majority households.To test this hypothesis, separate conditional demand systems are estimated for majority, black, and Hispanic households. With the use of separate variance/covariance matrices, various parameter groups are tested for statistically significant differences.

Poyer, D.A.

1992-08-01T23:59:59.000Z

148

A comparative analysis of energy demand and expenditures by minority and majority households within the context of a conditional demand system  

SciTech Connect

Analysis and evaluation of the impact that programs and policies have on energy consumption and expenditures are confounded by many intervening variables. A clear understanding of how these variables influence energy consumption patterns should be grounded in a rigorously developed framework. In this regard much is documented in the literature. However, an analysis of the comparative relationship between energy demand and variables which influence it among different socioeconomic groups has not been thoroughly explored with any theoretical rigor. It is proposed that differences in patterns of energy use between black, Hispanic, and majority households (where the household head is neither black nor Hispanic) are due to both structural and distribution differences. It is felt that the structural dissimilarities are primarily due to the dynamic nature in which energy consumption patterns evolve, with differences in changing housing patterns playing a significant role. For minorities, this implies a potential difference in the effect of policy and programs on economic welfare when compared to majority households.To test this hypothesis, separate conditional demand systems are estimated for majority, black, and Hispanic households. With the use of separate variance/covariance matrices, various parameter groups are tested for statistically significant differences.

Poyer, D.A.

1992-01-01T23:59:59.000Z

149

Energy use in Minnesota schools: Aggregate performance and perspectives on energy savings  

SciTech Connect

As part of an extensive and comprehensive evaluation of the US Department of Energy's Institutional Conservation Program (ICP), we present an analysis of the energy performance of Minnesota schools during the 1970s and 1980s. We also estimate energy savings for individual schools and for the entire group of schools participating in the ICP. Finally, we compare estimated energy savings, based on technical audits, with monitored energy reductions. 13 refs., 7 figs., 3 tabs.

Vine, E.; Hatfield, B.; Lebot, B.; Kammerud, R.; Carroll, W.L.

1988-07-01T23:59:59.000Z

150

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

151

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

152

Table SH5. Total Expenditures for Space Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Space Heating Fuel 4 (millions) Fuel Oil U.S. Households ... 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Natural Gas

153

An Energy-Balance Analysis of Deep Convective Self-Aggregation above Uniform SST  

E-Print Network (OSTI)

-aggregation is sensitive to the ice microphysical parameterization, which affects the location and extent of cirrus clouds the dry to the moist regions. A simple mathematical model of the initial phase of self

Bretherton, Chris

154

Aggregation of U.S. Population Centers Using Climate Parameters Related to Building Energy Use  

Science Conference Proceedings (OSTI)

A technique for aggregating population centers into groups based on selected climate parameters is presented. Climate information on the 125 largest Standard Metropolitan Statistical Areas (SMSAs) in the United States is used to assign each SMSA ...

Brandt Andersson; William L. Carroll; Marlo R. Martin

1986-05-01T23:59:59.000Z

155

New America Foundation Working Paper The Price-Induced Energy Trap Exploring the Impacts of Transportation Expenditures on the American Economy  

E-Print Network (OSTI)

Even though the U.S. economy grows at an anemic rate of perhaps 1.5 percent and 1.9 percent (or less) in this year and next, the world economy is likely to expand by well over 3 percent in that same two-year period. The world demand for oil is expected to increase, concurrently, by about 1.5 percent annually. The most recent projections by the U.S. Energy Information Administration (EIA 2011a) suggest that absent major disruptions the growing demand for energy worldwide will continue to push oil prices up in a slow but steady movement. Absent dramatic changes in U.S. energy policy, consumers are likely to continue to pay high and volatile prices. Despite an anticipated 1.8 percent decline this year in gasoline consumption, for example, the overall expenditures for gasoline will increase 25 percent, rising from $391 billion dollars in 2010 to $489 billion dollars in 2011. Both the size of the U.S. gasoline bill, and its dependence on global events, impact the lives and well-being of individuals, families, and households especially those from the middle and lower income levels. And as consumers incomes, already shrinking in the after-effects of the recession, continue to be absorbed by high fuel costs, gasoline is becoming a drag on the economy. How will U.S. policy makers navigate the future? For decades price has been the focus of policy-makers attention. Policy-byprice has taken three approaches. First, policymakers have tried to keep prices low through subsidies for ethanol and biofuels, increased domestic oil production and an active foreign policy toward oil suppliers, while letting the market (i.e., rising prices),

John A. skip Laitner; For The Energy Policy Initiative

2011-01-01T23:59:59.000Z

156

Concentrating Solar Power Facilities | Department of Energy  

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

Grid Projects 2009 Energy Expenditure Per Person 2009 Energy Expenditure Per Person Solar Energy Potential Solar Energy Potential Renewable Energy Production By State Renewable...

157

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX E: Arnold Schwarzenegger Governor Community in this report. #12;«CCA_Name» - DRAFT - COMMUNITY CHOICE AGGREGATION IMPLEMENTATION PLAN «Date Choice Aggregation Implementation Plan Template Prepared For: California Energy Commission Prepared By

158

Analysis of Long-range Clean Energy Investment Scenarios for Eritrea, East Africa  

E-Print Network (OSTI)

the reduction in annual non-renewable energy expenditures asin the expenditure for non- renewable energy supplies, with

Van Buskirk, Robert D.

2004-01-01T23:59:59.000Z

159

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

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

160

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

E-Print Network (OSTI)

Deficit through Energy Efficiency in India: An Evaluation of2001) 465- Bureau of Energy Efficiency (BEE) (2007). EnergyDeficit through Energy Efficiency in India: An Evaluation of

Sathaye, Jayant

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

E-Print Network (OSTI)

energy efficiency equipment is expected to come from private industry while that for the supply-Supply with Energy Efficiency (SEE) Scenario 2 Electricity Demand and Availability . 16 Figure 11: Commercial and LV-MV Industry

Sathaye, Jayant

2010-01-01T23:59:59.000Z

162

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

E-Print Network (OSTI)

Business as Usual (BAU) Scenario 1 Electricity Demand andEnergy Efficiency (SEE) Scenario 2 Electricity Demand andCA 94720 Abstract Electricity demand has consistently

Sathaye, Jayant

2010-01-01T23:59:59.000Z

163

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

E-Print Network (OSTI)

S. Das, (2006) Reducing Electricity Deficit through EnergyLV supply. Figure 12: Electricity Productivity (Commercialan interesting result. The electricity productivity in both

Sathaye, Jayant

2010-01-01T23:59:59.000Z

164

Energy landscapes for protein folding, binding, and aggregation : simple funnels and beyond  

E-Print Network (OSTI)

the corresponding free energy profile generated using WHAM (histogram analysis method (WHAM). Despite the simplicity ofprofile generated using WHAM (right). The success of any

Cho, Samuel Sung-Il

2007-01-01T23:59:59.000Z

165

Information Markets and Aggregation  

E-Print Network (OSTI)

Information Markets and Aggregation by Narahari Mohan PhatakSpring 2012 Information Markets and Aggregation CopyrightMohan Phatak Abstract Information Markets and Aggregation by

Phatak, Narahari Mohan

2012-01-01T23:59:59.000Z

166

The Influence of Surface Texture on Regionally Aggregated Evaporation and Energy Partitioning  

Science Conference Proceedings (OSTI)

Areally averaged surface fluxes of sensible heat and latent heat are evaluated over periodically varying terrain, using a two-dimensional E? model with high spatial resolution and a parameterization of the local surface energy balance according ...

Daniel Bnzli; Hans Peter Schmid

1998-03-01T23:59:59.000Z

167

Aggregate model and analysis of the energy dynamics in the Kingdom of Saudi Arabia  

E-Print Network (OSTI)

The Kingdom of Saudi Arabia is facing a crisis in the near future centered on increasing energy consumption. Today, the kingdom consumes approximately 1/3 of its oil production. If no action is taken and the kingdom continues ...

Al-Ahmed, Khalid A. (Khalid Abdulrahim)

2012-01-01T23:59:59.000Z

168

New aggregation programs drive consumer participation in Illinois ...  

U.S. Energy Information Administration (EIA)

New aggregation programs drive consumer participation ... Ameren Energy Marketing, Direct Energy ... (buying their electricity from renewable generators) ...

169

The impact of rising energy prices on household energy consumption and expenditure patterns: The Persian Gulf crisis as a case example  

SciTech Connect

The Iraqi invasion of Kuwait and the subsequent war between Iraq and an international alliance led by the United States triggered immediate increases in world oil prices. Increases in world petroleum prices and in US petroleum imports resulted in higher petroleum prices for US customers. In this report, the effects of the Persian Gulf War and its aftermath are used to demonstrate the potential impacts of petroleum price changes on majority, black, and Hispanic households, as well as on poor and nonpoor households. The analysis is done by using the Minority Energy Assessment Model developed by Argonne National Laboratory for the US Department of Energy (DOE). The differential impacts of these price increases and fluctuations on poor and minority households raise significant issues for a variety of government agencies, including DOE. Although the Persian Gulf crisis is now over and world oil prices have returned to their prewar levels, the differential impacts of rising energy prices on poor and minority households as a result of any future crisis in the world oil market remains a significant long-term issue.

Henderson, L.J. (Baltimore Univ., MD (United States)); Poyer, D.A.; Teotia, A.P.S. (Argonne National Lab., IL (United States). Energy Systems Div.)

1992-09-01T23:59:59.000Z

170

A Case Study on Multiple Technology Aggregate Response: FirstEnergy Smart Grid Demonstration  

Science Conference Proceedings (OSTI)

This study was designed to gain an understanding of the potential impacts of operating a combination of smart grid technologies at the same time. An AEP-EPRI project team developed a process to determine and manage the impact of concurrent operation of several technologies, including electric vehicles (EVs), community energy storage (CES), volt/var optimization (VVO) and photovoltaic (PV) generation systems.This AEP Smart Grid Demonstration case study describes two aspects of ...

2013-12-04T23:59:59.000Z

171

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

SciTech Connect

Electricity demand has consistently exceeded available supply in India. While the electricity deficit varies across states, nationally it was estimated to be of the order of 12percent on peak and 11percent for electricity during 2008-09. This paper explores a demand-side focused potential for energy efficiency improvement to eliminate the electricity deficit compared to a business as usual (BAU) supply-side focused scenario. The limited availability of finance and other legal and administrative barriers have constrained the construction of new power plant capacity in India. As a result, under the BAU scenario, India continues to face an electricity deficit beyond the end of the Twelfth Five Year Plan. The demand-side cost-effective potential achieved through replacement of new electricity-using products, however, is large enough to eliminate the deficit as early as 2013 and subsequently reduce the future construction of power plants and thus reduce air pollutant emissions. Moreover, energy efficiency improvements cost a fraction of the cost for new supply and can lead to a substantial increase in India's economic output or gross domestic product (GDP). Eliminating the deficit permits businesses that have experienced electricity cutbacks to restore production. We estimate the size of the cumulative production increase in terms of the contribution to GDP at a $505 billion between 2009 and 2017, the end of India's Twelfth Five Year Plan, which may be compared with India's 2007-08 GDP of $911 billion. The economic output is influenced by the size of the electricity savings and rate of penetration of energy efficient technologies, and that of self-generation equipment and inverters used by businesses faced with electricity cuts. Generation and inverters are estimated to service 23percent of these customers in 2009, which increase to 48percent by 2020. The reduction in the construction and operation of new power plants reduces the cumulative CO2 emissions by 65 Mt, and those of sulfur dioxide and nitrogen oxides by 0.4 Mt each, while also reducing India's imports of coal and natural gas. By 2020, the cumulative GDP benefit increases to $608 billion, the CO2 savings expand to 333 Mt and SO2 and NOx to 2.1 Mt.

Sathaye, Jayant; Gupta, Arjun

2010-04-30T23:59:59.000Z

172

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

SciTech Connect

Electricity demand has consistently exceeded available supply in India. While the electricity deficit varies across states, nationally it was estimated to be of the order of 12percent on peak and 11percent for electricity during 2008-09. This paper explores a demand-side focused potential for energy efficiency improvement to eliminate the electricity deficit compared to a business as usual (BAU) supply-side focused scenario. The limited availability of finance and other legal and administrative barriers have constrained the construction of new power plant capacity in India. As a result, under the BAU scenario, India continues to face an electricity deficit beyond the end of the Twelfth Five Year Plan. The demand-side cost-effective potential achieved through replacement of new electricity-using products, however, is large enough to eliminate the deficit as early as 2013 and subsequently reduce the future construction of power plants and thus reduce air pollutant emissions. Moreover, energy efficiency improvements cost a fraction of the cost for new supply and can lead to a substantial increase in India's economic output or gross domestic product (GDP). Eliminating the deficit permits businesses that have experienced electricity cutbacks to restore production. We estimate the size of the cumulative production increase in terms of the contribution to GDP at a $505 billion between 2009 and 2017, the end of India's Twelfth Five Year Plan, which may be compared with India's 2007-08 GDP of $911 billion. The economic output is influenced by the size of the electricity savings and rate of penetration of energy efficient technologies, and that of self-generation equipment and inverters used by businesses faced with electricity cuts. Generation and inverters are estimated to service 23percent of these customers in 2009, which increase to 48percent by 2020. The reduction in the construction and operation of new power plants reduces the cumulative CO2 emissions by 65 Mt, and those of sulfur dioxide and nitrogen oxides by 0.4 Mt each, while also reducing India's imports of coal and natural gas. By 2020, the cumulative GDP benefit increases to $608 billion, the CO2 savings expand to 333 Mt and SO2 and NOx to 2.1 Mt.

Sathaye, Jayant; Gupta, Arjun

2010-04-30T23:59:59.000Z

173

Lossy Data Aggregation in Multihop Wireless Sensor Networks  

Science Conference Proceedings (OSTI)

In wireless sensor networks, in-network data aggregation is an efficient way to reduce energy consumption in network. However, most of the existing data aggregation scheduling methods try to aggregate the data from all the nodes at all time-instances. ... Keywords: Data Loss, Data Sampling, Energy Efficiency, Lossy Data Aggregation

Guojun Dai; Jianhui Zhang; Shaojie Tang; Xingfa Shen; Changping Lv

2009-12-01T23:59:59.000Z

174

Illinois Solar Energy Association - Renewable Energy Credit Aggregatio...  

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

Illinois Solar Energy Association - Renewable Energy Credit Aggregation Program Illinois Solar Energy Association - Renewable Energy Credit Aggregation Program Eligibility...

175

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

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

449 449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller Prepared under Task No. SAO9.3003 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

176

Energy Efficiency Report: Chapter 3 Figures (Residential)  

U.S. Energy Information Administration (EIA)

Figure 3.1. Total Site Residential Energy Consumption and Personal Consumption Expenditures Indices, 1980 to 1993. Notes: Personal consumption expenditures used ...

177

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

178

Table F18: Coal Price and Expenditure Estimates and Imports ...  

U.S. Energy Information Administration (EIA)

Table F18: Coal Price and Expenditure Estimates and Imports and Exports of Coal Coke, 2011 State Coal Coal Coke Prices Expenditures Prices ...

179

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

Gasoline and Diesel Fuel Update (EIA)

expenditures decline relative to gross domestic product and gross output Total U.S. energy expenditures decline relative to GDP in the AEO2012 Reference case (Figure 62)...

180

Assumptions to the Annual Energy Outlook 1999 - Commercial Demand...  

Annual Energy Outlook 2012 (EIA)

household.gif (5637 bytes) The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

TAX EXPENDITURES RELATED TO THE PRODUCTION AND CONSUMPTION OF MOTOR FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

-miles of travel RECS = Residential Energy Consumption Survey SIC = standard industrial classification SOx = sulfur industries, or oil over other energy industries: virtually all major energy sources require large investments.......................24 18.5.1 Corporate income-tax expenditures for the oil industry

Delucchi, Mark

182

Study for Technology of Asphalt Pavement Aggregate Washed by Cycle Limewater  

Science Conference Proceedings (OSTI)

Technology of asphalt pavement aggregate washed by cycle limewater was put forward for the first time in this paper. Before and after the aggregate was washed by cycle limewater, aggregate mud content, aggregate asphalt adhesion and asphalt mixture water ... Keywords: energy conservation, emissions reduction, cycle limewater, wash, asphalt pavement aggregate

Jiang Tao; Sun Bin

2010-12-01T23:59:59.000Z

183

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network (OSTI)

Arnold Schwarzenegger Governor COMMUNITY CHOICE AGGREGATION PILOT PROJECT PIERFINALPROJECTREPORT Rosenfeld. Please cite this report as follows: Stoner, G. Patrick. 2008. Community Choice Aggregation Pilot Aggregation Pilot Project Final Report is the final report for the Community Choice Aggregation Pilot Project

184

START Program Project Sites | Department of Energy  

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

Energy Expenditure Per Person Solar Energy Potential Solar Energy Potential Renewable Energy Production By State Renewable Energy Production By State 2009 Total Energy...

185

Data aggregation in wireless sensor networks using ant colony algorithm  

Science Conference Proceedings (OSTI)

Data aggregation is important in energy constraint wireless sensor networks which exploits correlated sensing data and aggregates at the intermediate nodes to reduce the number of messages exchanged network. This paper considers the problem of constructing ... Keywords: Ant colony, Data aggregation, Wireless sensor networks

Wen-Hwa Liao; Yucheng Kao; Chien-Ming Fan

2008-11-01T23:59:59.000Z

186

Annual Capital Expenditures Survey | Data.gov  

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

Annual Capital Expenditures Survey Annual Capital Expenditures Survey BusinessUSA Data/Tools Apps Challenges Let's Talk BusinessUSA You are here Data.gov » Communities » BusinessUSA » Data Annual Capital Expenditures Survey Dataset Summary Description Provides national estimates of investment in new and used buildings and other structures, machinery, and equipment by U.S. nonfarm businesses with and without employees. Data are published by industry for companies with employees for NAICS 3-digit and selected 4-digit industries. Data on the amount of business expenditures for new plant and equipment and measures of the stock of existing facilities are critical to evaluate productivity growth, the ability of U.S. business to compete with foreign business, changes in industrial capacity, and measures of overall economic performance. In addition, ACES data provide industry analysts with capital expenditure data for market analysis, economic forecasting, identifying business opportunities and developing new and strategic plans. The ACES is an integral part of the Federal Government's effort to improve and supplement ongoing statistical programs. Private companies and organizations,, educators and students, and economic researchers use the survey results for analyzing and conducting impact evaluations on past and current economic performance, short-term economic forecasts, productivity, long-term economic growth, tax policy, capacity utilization, business fixed capital stocks and capital formation, domestic and international competitiveness trade policy, market research, and financial analysis.

187

A Review and Discussion of the Literature on Travel Time and Money Expenditures  

E-Print Network (OSTI)

Expenditure of Time and Money on Travel. Transport RoadExpenditure of Time and Money on Travel. Transp. Research6 I.2.4.2. Travel Money Expenditure ..

Chen, Cynthia; Mokhtarian, Patricia

2008-01-01T23:59:59.000Z

188

Residential Energy Consumption and Expenditures -- Detailed Tables ...  

U.S. Energy Information Administration (EIA)

Categories of Data in the Table Rows. The row categories classify data by specific features of the households. The following, listed in alphabetical order, are ...

189

Residential Energy Consumption and Expenditures -- Detailed Tables...  

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

in suburban areas fell between 5.85 and 6.21 per million Btu. If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

190

Residential Energy Consumption and Expenditures -- Detailed Tables...  

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

gas estimates, the difference is statistically significant. If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

191

Georgia - State Energy Profile Overview - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Puerto Rico US Virgin Islands: Overview; Data; Economy; Prices; Reserves & Supply; Distribution & Marketing; Consumption & Expenditures; Environment; Analysis; Energy ...

192

The Relationship between Intermodel Differences and Surface Energy Balance Complexity in the Rhne-Aggregation Intercomparison Project  

Science Conference Proceedings (OSTI)

Six modes of complexity of the Chameleon land surface model (CHASM) are used to explore the relationship between the complexity of the surface energy balance (SEB) formulation and the capacity of the model to explain intermodel variations in ...

S. Fox; A. J. Pitman; A. Boone; F. Habets

2006-02-01T23:59:59.000Z

193

Energy Efficiency Indicators Methodology Booklet  

E-Print Network (OSTI)

energy consumption. IEA countries have experienced a steady increase in car- kilometers per capita as personal consumption expenditure increase.

Sathaye, Jayant

2010-01-01T23:59:59.000Z

194

Building Technologies Office: Take Action to Develop New Energy...  

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

20% primary energy savings Water Heating: aggregated 60% primary energy savings Appliances: aggregated 20% primary energy savings Sensors and Controls: aggregated...

195

U.S. Uranium Expenditures, 2003-2010  

U.S. Energy Information Administration (EIA)

Domestic Uranium Production Report presents information Operating Status of U.S. Uranium Expenditures, 2003-2005

196

A beacon of new physics: The Pioneer anomaly modelled as a path based speed loss driven by the externalisation of aggregate non-inertial QM energy  

E-Print Network (OSTI)

This treatise outlines how a non-systematic based Pioneer anomaly, with its implied violation (re: 'low' mass bodies only) of both general relativity's weak equivalence principle and the Newtonian inverse-square law, can be successfully modelled. These theoretical hurdles and various awkward observational constraints, such as the low value of Pioneer 11's anomaly pre-Saturn encounter, have (to date) not been convincingly modelled. Notwithstanding the recent trend to embrace a non-constant Sun/Earth-directed heat based explanation of this anomalous deceleration, the actual: nature, direction, and temporal and spatial variation of the Pioneer anomaly remain an open arena of research. Working backwards from the observational evidence, and rethinking: time, mass, quantum entanglement and non-locality, we hypothesise a mechanism involving a quantum mechanical energy source and a new type of 'gravitational' field; neither of which lie within general relativity's domain of formulation/application. By way of a systemic conservation of energy principle, an internally inexpressible (aggregate) non-inertial energy discrepancy/uncertainty -- involving a myriad of quantum (lunar/third-body residing) atomic and molecular systems moving in analog curved spacetime -- is (non-locally) re-expressed externally as a (rotating) non-Euclidean spatial geometry perturbation. At a moving body each "rotating space-warp" induces sinusoidal proper acceleration and speed perturbations, as well as a path-based constant (per cycle) rate of speed shortfall relative to predictions that omit the additional effect. 'Solutions' of the new model may extend to: the Earth flyby anomaly, solar system related large-scale anomalies in the CMB radiation data, the nature of dark energy, and how a theory of everything unification agenda is inadvertently impeding a deeper understanding of physical reality and quantum entanglement.

Paul G. ten Boom

2012-05-15T23:59:59.000Z

197

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX B: Arnold Schwarzenegger Governor Project Reports on California Public Utilities Commission Decisions on Community Choice Aggregation Prepared For Participants FROM: John Dalessi, NCI SUBJECT: CPUC COMMUNITY CHOICE AGGREGATION PHASE 1 DECISION On December 16

198

Business models of information aggregators  

E-Print Network (OSTI)

This thesis identifies the specific characteristics of information aggregators, and proposes nine business models appropriate for information aggregators. These nine models are: advertising, brokerage, subscription, ...

Hu, Jiangxia, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

199

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX H: Arnold Schwarzenegger Governor Berkeley have been investigating and analyzing a program for the implementation of Community Choice Aggregation

200

US military expenditures to protect the use of Persian Gulf oil for motor vehicles  

E-Print Network (OSTI)

US military expenditures to protect the use of Persian Gulf oil for motor vehicles Mark A. Delucchi 2008 Keywords: Oil importing cost Motor fuel social cost Energy security cost a b s t r a c t Analyses of the full social cost of motor vehicle use in the US often estimate an ``oil import premium'' that includes

Murphy, James J.

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Green Power Network: Community Choice Aggregation (CCA)  

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

Community Choice Aggregation (CCA) Community Choice Aggregation (CCA) Community choice aggregation (CCA) is a state policy that enables local governments to aggregate electricity demand within their jurisdictions in order to procure alternative energy supplies while maintaining the existing electricity provider for transmission and distribution services. Many states passed CCA laws as part of electric restructuring legislation in the late 1990s and early 2000s. States that have passed CCA laws include California (2002), Illinois (2009), Massachusetts (1997), New Jersey (2003), Ohio (1999), and Rhode Island (1997). There are many reasons that a community may choose to develop a CCA, including the option to purchase more green power, reduce electricity cost, and provide power from more local sources.

202

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX A: Arnold Schwarzenegger Governor Community in this report. #12;1 COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX A Community Choice Aggregation in the Community Choice Aggregation Demonstration project and assesses the costs and availability of renewable

203

Regional Comparisons, Spatial Aggregation,  

Gasoline and Diesel Fuel Update (EIA)

Regional Regional Comparisons, Spatial Aggregation, and Asymmetry of Price Pass-Through in U.S. Gasoline Markets MICHAEL YE*, JOHN ZYREN**, JOANNE SHORE**, AND MICHAEL BURDETTE** Abstract Spot to retail price pass-through behavior of the U.S. gasoline market was investigated at the national and regional levels, using weekly wholesale and retail motor gasoline prices from January 2000 to the present. Asymmetric pass-through was found across all regions, with faster pass-through when prices are rising. Pass-through patterns, in terms of speed and time for completion, were found to vary from region to region. Spatial aggregation was investigated at the national level and the East Coast with the aggregated cumulative pass-through being greater than the volume-weighted regional pass-through when spot prices increase. These results are useful to the petroleum industry, consumers,

204

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1991  

SciTech Connect

This is the sixth report submitted to Congress under section 5(d)(2)(E)(ii)(II) of the Low-Level Radioactive Waste Policy Act of 1985 (the Act). This section of the Act directs the Department of Energy (DOE) to summarize the annual expenditures of funds disbursed from the DOE surcharge escrow account and to assess compliance of these expenditures with the limitations specified in the Act. In addition to placing limitations on the use of these funds, the Act also requires the nonsited compact regions and nonmember States to provide DOE with an itemized report of their expenditures on December 31 of each year in which funds are expended. Within 6 months after receiving the individual reports, the Act requires the Secretary to furnish Congress with a summary of the reported expenditures and an assessment of compliance with the specified usage limitations. This report fulfills that requirement. DOE disbursed funds totaling $15,037,778.91 to the States and compact regions following the July 1, 1986, January 1, 1988, and January 1, 1990, milestones specified in the Act. Of this amount, $3,517,020.56 was expended during calendar year 1991 and $6,602,546.24 was expended during the prior 5 years. At the end of December 1991, $4,918,212.11 was unexpended. DOE has reviewed each of the reported expenditures and concluded that all reported expenditures comply with the spending limitations stated in section 5(d)(2)(E)(i) of the Act.

Not Available

1992-06-01T23:59:59.000Z

205

United States - U.S. Energy Information Administration (EIA) - U.S ...  

U.S. Energy Information Administration (EIA)

Petroleum prices, supply and demand information from the Energy Information Administration - EIA ... Industrial Sector Energy Expenditure Estimates, 2011

206

Technology meets aggregate  

Science Conference Proceedings (OSTI)

New technology carried out at Tufts University and the University of Massachusetts on synthetic lightweight aggregate has created material from various qualities of fly ash from coal-fired power plants for use in different engineered applications. In pilot scale manufacturing tests an 'SLA' containing 80% fly ash and 20% mixed plastic waste from packaging was produced by 'dry blending' mixed plastic with high carbon fly ash. A trial run was completed to produce concrete masonry unit (CMU) blocks at a full-scale facility. It has been shown that SLA can be used as a partial substitution of a traditional stone aggregate in hot asphalt mix. 1 fig., 2 photos.

Wilson, C.; Swan, C. [INNERT Co. (United States)

2007-07-01T23:59:59.000Z

207

Uncertain generalized aggregation operators  

Science Conference Proceedings (OSTI)

The aim of this paper is to extend the generalized ordered weighted averaging operator and provide a new class of operators called the uncertain generalized ordered weighted averaging (UGOWA) operator. It provides a very general formulation that includes ... Keywords: Aggregation, Decision making, Generalized mean, OWA operator, Operator weights

Li-Gang Zhou; Hua-You Chen; Jos M. Merig; Anna M. Gil-Lafuente

2012-01-01T23:59:59.000Z

208

Performance Profiles of Major Energy Producers - Energy ...  

U.S. Energy Information Administration (EIA)

Research and Development Expenditures: Table 12. Income Taxes: Table 13. U.S. Taxes Other Than Income Taxes: Table 14. U.S. Energy Operating Statistics: Table 15.

209

Connecticut/EZFeed Policies | Open Energy Information  

Open Energy Info (EERE)

Gas Nuclear Photovoltaics Tidal Energy Wave Energy Wind energy StateProvince The EXP Job Creation Incentive Program provides loans towards expenditures related to training,...

210

Annual Energy Review - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

State Energy Data System ... 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979 PDF XLS GRAPH: 2 ...

211

Short-Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration | Short-Term Energy and Winter Fuels Outlook October 2013 2 Projected Winter Fuel Expenditures by Fuel and Region

212

Estimated Rare Earth Reserves and Deposits | Department of Energy  

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

Department of Energy Facilities Department of Energy Facilities Recovery Act Smart Grid Projects Recovery Act Smart Grid Projects 2009 Energy Expenditure Per Person 2009 Energy...

213

Google Crisis Map for Hurricane Sandy | Department of Energy  

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

Department of Energy Facilities Department of Energy Facilities Recovery Act Smart Grid Projects Recovery Act Smart Grid Projects 2009 Energy Expenditure Per Person 2009 Energy...

214

Delaware - Rankings - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Puerto Rico US Virgin Islands: Overview; Data; Economy; Prices; Reserves & Supply; Distribution & Marketing; Consumption & Expenditures; Environment; Analysis; Energy ...

215

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Puerto Rico US Virgin Islands: Overview; Data; Economy; Prices; Reserves & Supply; Distribution & Marketing; Consumption & Expenditures; Environment; Analysis; Energy ...

216

Minority energy assessment report  

SciTech Connect

The purpose of this research is to project household energy consumption, energy expenditure, and energy expenditure as share of income for five population groups from 1991 to 2009. The approach uses the Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory for the US Department of Energy's Office of Minority Economic Impact. The MEAM provides a framework that can be used to forecast regional energy consumption and energy expenditure for majority, black, Hispanic, poor, and nonpoor households. The forecasts of key macroeconomic and energy variables used as exogenous variables in the MEAM were obtained from the Data Resources, Inc., Macromodel and Energy Model. Generally, the projections of household energy consumption, expenditure, and energy expenditure as share of income vary across population groups and census regions.

Teotia, A.P.S.; Poyer, D.A.; Lampley, L.; Anderson, J.L.

1992-12-01T23:59:59.000Z

217

Expenditures on Children by Families | Data.gov  

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

Expenditures on Children by Families Expenditures on Children by Families Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Expenditures on Children by Families Dataset Summary Description This dataset provides expenditures on Children by Families provides estimates of the cost of raising children from birth through age 17 for major budgetary components. Tags {children,families,expenditures,cost,budget,household,income,single-parent,husband-wife} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet Ease of Access 0 No votes yet Dataset Additional Information Last Updated 2012 Publisher Food and Nutrition Service, Department of Agriculture Contact Name Contact Email Mark.Lino@cnpp.usda.gov

218

Energy Information Administration  

U.S. Energy Information Administration (EIA)

Assessment of consumption and expenditure data collected from energy suppliers against bill data obtained from interviewed households: Case study with 2009

219

EXPENDITURES General Fund Expenditures-2.0 % Page 12 NON-GENERAL FUND REVENUES  

E-Print Network (OSTI)

Key to revenue trend indicators: ?NEUTRAL ? = Variance of-1 % to +2 % compared to projections. ?POSITIVE ? = Positive variance of>+2 % compared to projections. ?WARNING ? = Negative variance of-1 % to-4 % compared to projections. ?NEGATIVE ? = Negative variance of>-4 % compared to projections. 1 First Quarter 2013- May 2013CITY FINANCIAL OVERVIEW EXECUTIVE SUMMARY Total General Fund revenue receipts for the first quarter of 2013, in the amount of $4,175,309, are above the projection by $172,955, or 4.3%. Total General Fund expenditures, in the amount of $4,508,707, are below the projection by $92,764, or 2.0%. Street Fund revenue receipts for the first quarter of 2013, including transfers in, total $511,302 and are $3,654, or 0.7%, above the projection. Street Fund expenditures, including transfers out, total $460,168 and are $19,734, or 4.1%, below the projection. Surface Water Utility Fund (SWM) revenue receipts for the first quarter of 2013 totaling $114,495 are $42,761, or 59.6%, above the projection. SWM expenditures total $691,401 and are $90,757, or 15.1%, above the projection. Real Estate Excise Tax (REET) revenue receipts for the first quarter of 2013 totaling $231,011 are $7,274, or 3.3%, ahead of the projection and

unknown authors

2013-01-01T23:59:59.000Z

220

Energy Usage | Department of Energy  

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

Usage Energy Usage How much do you spend per year compared to others? A state-by-state map of per capita energy expenditures. Subtopics Storage Consumption Transmission Smart Grid...

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

2009 Energy Expenditure Per Person | Department of Energy  

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

Wind Manufacturing Facilities Wind Manufacturing Facilities Testing America's Wind Turbines Testing America's Wind Turbines U.S. Hydropower Potential from Existing Non-powered Dams...

222

Lower residential energy use reduces home energy expenditures as ...  

U.S. Energy Information Administration (EIA)

This Week in Petroleum Weekly Petroleum Status Report Weekly Natural Gas Storage ... households spent $1,945 on heating, cooling, appliances, electronics, and ...

223

2009 Energy Expenditure Per Person | Department of Energy  

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

OPEN 2012 Projects Clean Cities Coalition Regions Clean Cities Coalition Regions Google Crisis Map for Hurricane Sandy Google Crisis Map for Hurricane Sandy Alternative...

224

Aggregation in Charged Nano Suspensions  

E-Print Network (OSTI)

In order to control aggregation phenomena in suspensions of nanoparticles, one often charges the particles electrically, e.g. by triboelectric charging. Stabilization of suspensions against aggregation of particles is an important issue, which may be realized by monopolar charging, where particles repel each other. Contrarily, bipolar charging may be used in coating processes, where smaller particles of one material coat larger particles of another material. When the two particle fractions are charged oppositely, aggregation between equally charged particles is hindered whereas aggregation between oppositely charged particles is preferred, thereby improving the coating process. We study various aspects of these two situations by theoretical investigations and computer simulations.

J. H. Werth; S. M. Dammer; H. A. Knudsen; H. Hinrichsen; D. E. Wolf

2005-03-10T23:59:59.000Z

225

DOE/EIA-0482 Energy Information Administration  

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

82 Energy Information Administration Residential energy Consumption Survey: Trends in Consumption and Expenditures , 1978-1984 L This publication is available from the...

226

Residential Energy Usage by Origin of Householder  

U.S. Energy Information Administration (EIA)

Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

227

Energy Information Administration (EIA)- Commercial Buildings Energy  

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

5 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous 5 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. All Principal Buildings Activities Number of Buildings, Total Floorspace, and Total Site and Primary Energy Consumption for All Principal Building Activities, 1995

228

Energy effects of heat-island reduction strategies in Toronto, Canada  

E-Print Network (OSTI)

energy expenditure Savings reflective roof savings shade tree savings wind shield savings indirect savings combined savings Residential gas price

Akbari, Hashem; Konopacki, Steven

2003-01-01T23:59:59.000Z

229

Table A39. Total Expenditures for Purchased Electricity and Steam  

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

9. Total Expenditures for Purchased Electricity and Steam" 9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,"Total United States" "RSE Column Factors:",0.3,2,1.6,1.2

230

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1992  

SciTech Connect

This is the seventh report submitted to Congress in accordance with section 5(d)(2)(E)(ii)(II) of Title I--Low-Level Radioactive Waste Policy Amendments Act of 1985 (the Act). This section of the Act directs the Department of Energy (DOE) to summarize the annual expenditures of funds disbursed from the DOE surcharge escrow account and to assess compliance of these expenditures with the limitations specified in the Act. In addition to placing limitations on the use of these funds, the Act also requires the nonsited compact regions and nonmember States to provide DOE with an itemized report of their expenditures on December 31 of each year in which funds are expended. Within 6 months after receiving the individual reports, the Act requires the Secretary to furnish Congress with a summary of the reported expenditures and an assessment of compliance with the specified usage limitations. This report fulfills that requirement. DOE disbursed funds totaling $15,037,778.91 to the States and compact regions following the July 1, 1986, January 1, 1988, and January 1, 1990, milestones specified in the Act. Of this amount, $1,445,701.61 was expended during calendar year 1992 and $10,026,763.87 was expended during the prior 6 years. At the end of December 1992, $3,565,313.43 was unexpended. DOE has reviewed each of the reported expenditures and concluded that all reported expenditures comply with the spending limitations stated in section 5(d)(2)(E)(i) of the Act.

Not Available

1993-06-01T23:59:59.000Z

231

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

Open Energy Info (EERE)

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

232

Data Aggregation and Monitoring  

Science Conference Proceedings (OSTI)

... the fast- moving cybersecurity technology market. ... Background 28 Energy companies rely on ... sensors 71 Security information sharing capabilities ...

2013-07-17T23:59:59.000Z

233

Social network effects on information aggregation  

E-Print Network (OSTI)

In this thesis, we investigated how sociometric information can be used to improve different methods of aggregating dispersed information. We specifically compared four different approaches of information aggregation: ...

Mulanda, Chilongo D

2006-01-01T23:59:59.000Z

234

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1990  

SciTech Connect

This is the fifth report submitted to Congress under Title 1, section 5(d)(2)(E) of Public Law 99--240, The Low-Level Radioactive Waste Policy Amendments Act of 1985'' (the Act). This section of the Act requests the Department of Energy (DOE) to summarize the annual expenditures of funds disbursed from the DOE surcharge escrow account and to assess compliance of these expenditures with the specified limitations. The Act places limitations on the use of these funds and requires the nonsited compact regions and nonmember States to provide DOE with an itemized report of their expenditures on December 31 of each year in which funds are expended. Within 6 months after receiving the individual reports, DOE is to furnish Congress a summary of the reported expenditures and an assessment of compliance with the limitations on the use of these funds specified in the Act. This report fulfills that requirements. DOE disbursed funds totaling $15,006,587.76 to the States and compact regions following the July 1, 1986, January 1, 1988, and January 1, 1990, milestones. Of this amount, $4,328,340.44 was expended during calendar year 1990 and $2,239,205.80 was expended during the prior 4 years. At the end of December 1990, $8,439,041.52 was unexpended. 5 tabs.

Not Available

1991-06-01T23:59:59.000Z

235

Minority energy assessment report. Fall 1992  

SciTech Connect

The purpose of this research is to project household energy consumption, energy expenditure, and energy expenditure as share of income for five population groups from 1991 to 2009. The approach uses the Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory for the US Department of Energy`s Office of Minority Economic Impact. The MEAM provides a framework that can be used to forecast regional energy consumption and energy expenditure for majority, black, Hispanic, poor, and nonpoor households. The forecasts of key macroeconomic and energy variables used as exogenous variables in the MEAM were obtained from the Data Resources, Inc., Macromodel and Energy Model. Generally, the projections of household energy consumption, expenditure, and energy expenditure as share of income vary across population groups and census regions.

Teotia, A.P.S.; Poyer, D.A.; Lampley, L.; Anderson, J.L.

1992-12-01T23:59:59.000Z

236

Optimizing lifetime for continuous data aggregation with precision guarantees in wireless sensor networks  

Science Conference Proceedings (OSTI)

This paper exploits the tradeoff between data quality and energy consumption to extend the lifetime of wireless sensor networks. To obtain an aggregate form of sensor data with precision guarantees, the precision constraint is partitioned and allocated ... Keywords: data accuracy, data aggregation, energy efficiency, network lifetime, sensor network

Xueyan Tang; Jianliang Xu

2008-08-01T23:59:59.000Z

237

Incremental computation and maintenance of temporal aggregates  

Science Conference Proceedings (OSTI)

Abstract.We consider the problems of computing aggregation queries in temporal databases and of maintaining materialized temporal aggregate views efficiently. The latter problem is particularly challenging since a single data update can cause aggregate ... Keywords: Access methods, Aggregation, B-tree, Segment tree, Temporal database, View maintenance

Jun Yang; Jennifer Widom

2003-10-01T23:59:59.000Z

238

Special Inquiry on the Office of the Chief Financial Officer's Information Technology Expenditures, OAS-RA-L-12-01  

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

Special Inquiry on the Office of the Special Inquiry on the Office of the Chief Financial Officer's Information Technology Expenditures OAS-RA-L-12-01 November 2011 Department of Energy Washington, DC 20585 November 28, 2011 MEMORANDUM FOR THE DEPUTY SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Special Report on "Inquiry on the Office of the Chief Financial Officer's Information Technology Expenditures" INTRODUCTION The Office of the Chief Financial Officer (OCFO) is responsible for ensuring the effective management and financial integrity of Department of Energy programs, projects, and resources. To achieve its mission, the OCFO develops, implements, and monitors policies and systems related to areas such as budget administration, program analysis, and strategic planning. The

239

Selling Random Energy  

E-Print Network (OSTI)

Wind Energy Aggregation and Profit Sharing 4.1 Introduction4.4 A Coalitional Game for Wind Energy Aggregation . 4.4.1large and unscheduled wind energy on the BPA system, 3rd

Bitar, Eilyan Yamen

2011-01-01T23:59:59.000Z

240

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Energy Module Oil and Gas Supply Module Household Expenditures Module Natural Gas Transmission and Distribution Module Residential Demand Module Petroleum Market Module...

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


241

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

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. ... For example, the average energy expenditure for a New Jersey household was $3,065, ...

242

ORIGINAL PAPER Differential sperm expenditure by male sailfin mollies,  

E-Print Network (OSTI)

Introduction It is increasingly evident that sperm production is costly to males (Dewsbury 1982; Nakatsuru expected outcome of costly sperm production is differential control of sperm production and expenditure strategies that reduce costs associated with spermatogenesis. This is especially true when males

Gabor, Caitlin - Department of Biology, Texas State University

243

Note on R&D expenditures and fixed capital formation  

Science Conference Proceedings (OSTI)

In this paper we deal with the fixed capital nature of the means of production and labour employed in research and development which generate scientific and technological knowledge. We argue that these R&D current expenditures typically have the ... Keywords: Capital, Innovation, Research

Mario Marchi; Maurizio Rocchi

2010-11-01T23:59:59.000Z

244

Toward an energy surety future.  

SciTech Connect

Because of the inevitable depletion of fossil fuels and the corresponding release of carbon to the environment, the global energy future is complex. Some of the consequences may be politically and economically disruptive, and expensive to remedy. For the next several centuries, fuel requirements will increase with population, land use, and ecosystem degradation. Current or projected levels of aggregated energy resource use will not sustain civilization as we know it beyond a few more generations. At the same time, issues of energy security, reliability, sustainability, recoverability, and safety need attention. We supply a top-down, qualitative model--the surety model--to balance expenditures of limited resources to assure success while at the same time avoiding catastrophic failure. Looking at U.S. energy challenges from a surety perspective offers new insights on possible strategies for developing solutions to challenges. The energy surety model with its focus on the attributes of security and sustainability could be extrapolated into a global energy system using a more comprehensive energy surety model than that used here. In fact, the success of the energy surety strategy ultimately requires a more global perspective. We use a 200 year time frame for sustainability because extending farther into the future would almost certainly miss the advent and perfection of new technologies or changing needs of society.

Tatro, Marjorie L.; Jones, Scott A.; Covan, John Morgan; Kuswa, Glenn W.; Menicucci, David F.; Robinett, Rush D. III (.; )

2005-10-01T23:59:59.000Z

245

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

of Figures Aggregate energy usage statistics are insu?cientmonitoring of individual energy usages in real-time. . . . .Aggregated energy usage by appliance type normalized by

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

246

Aggregation operators for fuzzy ontologies  

Science Conference Proceedings (OSTI)

Fuzzy ontologies extend classical ontologies to allow the representation of imprecise and vague knowledge. Although a relatively important amount of work has been carried out in the field during the last years and they have been successfully used in ... Keywords: Aggregation operators, Fuzzy Description Logics, Fuzzy integrals, Fuzzy ontologies, Logic for the Semantic Web

Fernando Bobillo, Umberto Straccia

2013-09-01T23:59:59.000Z

247

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

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

248

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

U.S. Energy Information Administration (EIA)

Quadrillion British Thermal Units (Btu) U.S. Households (millions) Other Appliances and Lighting Space Heating (Major Fuels) 4 Air-Conditioning 5 Water Heating 6 ...

249

Price and Expenditure Technical Notes - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Appropriately, coal imports and exports in the industrial sector do not include end-user taxes. ... refrigeration, cooking, and running a vari-ety of ...

250

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

West National Space Heating 1,050 721 371 352 575 Air-Conditioning 199 175 456 262 311 Water Heating 373 294 313 318 320 Refrigerators 194 145 146 154 157 Other Appliances and...

251

EIA's SEDS provides detailed data on energy use and expenditures ...  

U.S. Energy Information Administration (EIA)

Tools; Glossary All Reports ... weather; gasoline; capacity; exports; nuclear; forecast; View All Tags ...

252

Household Energy Consumption and Expenditures 1993 -- Index Page  

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

Fax: (202) 586-0018 URL: http:www.eia.govemeurecs1d.html If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

253

1997 Consumption and Expenditures Tables - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

heating or cooling degree-days are a measure of how cold or how hot a location is over ... To obtain the RSE percentage for any table cell, multiply ...

254

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1988  

SciTech Connect

This is the third report submitted to Congress under Public Law 99-240, The Low-Level Radioactive Waste Policy Amendments Act of 1985'' (the Act). This section of the Act requires the Department of Energy to summarize the annual expenditures made by states and compacts of funds disbursed from the Department's Surcharge Escrow Account, and to assess the compliance of these expenditures with the specified limitations. This report covers expenditures made during calendar year 1988 from funds disbursed to states and compacts following the July 1, 1986, and January 1, 1988, milestones. The next milestone in the Act is January 1, 1990, following which the accumulated surcharge deposits in the Department's Surcharge Escrow Account will again be disbursed. The Act authorizes states with operating low-level radioactive waste disposal sites (sited states) to collect surcharges on disposal of waste from generators located in compact regions currently without disposal sites (non-sited compacts) and in states that do not have sites and that are not members of compacts (nonmember states). The Act requires the sited states to make a monthly deposit to the Department of Energy's Surcharge Escrow Account of 25 percent of the surcharges they collect. Following each milestone date, the Department is required to disburse these funds, with accrued interest, back to those non-sited compacts and nonmember states found in compliance with the milestone requirements for new disposal site development. 4 tabs.

Not Available

1989-06-01T23:59:59.000Z

255

Residential Solar Tax Credit | Department of Energy  

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

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

256

Energy Efficient Reduced Complexity Multi-Service, Multi-Channel Scheduling Techniques.  

E-Print Network (OSTI)

??The need for energy efficient communications is essential in current and next-generation wireless communications systems. A large component of energy expenditure in mobile devices is (more)

Dechene, Dan J

2011-01-01T23:59:59.000Z

257

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

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

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

258

Citizen engagement with information aggregation markets  

Science Conference Proceedings (OSTI)

Participatory governance entails converting citizens from passive users of administrative decisions into active participants of political procedures. Public institutions and organizations can benefit from methods and tools able to aggregate and interpret ... Keywords: citizen engagement, information aggregation markets, public participation

Efthimios Bothos; Dimitris Apostolou; Gregoris Mentzas

2011-08-01T23:59:59.000Z

259

Representing aggregate works in the digital library  

Science Conference Proceedings (OSTI)

This paper studies the challenge of representing aggregate works such as encyclopedias, collected poems and journals in heterogenous digital library collections. Reflecting on the materials used by humanities academics, we demonstrate the varied range ... Keywords: aggregate documents, architecture, digital libraries

George Buchanan; Jeremy Gow; Ann Blandford; Jon Rimmer; Claire Warwick

2007-06-01T23:59:59.000Z

260

Petrography study on altered flint aggregate by alkali-silica reaction  

SciTech Connect

The aim of our study is to improve our understanding of an alkali-silica reaction (ASR) via petrography. We used a chemical concrete subsystem: flint aggregate, portlandite and KOH. The altered flint aggregate is followed by optical microscopy and scanning electron microscopy (SEM) before and after acid treatment at different intervals. After acid treatment, the observations showed an increase in aggregate porosity and revealed internal degradation of the aggregate. This degradation created amorphous zones. Before acid treatment, the analyses on polished sections by scanning electron microscopy coupled with energy dispersive spectroscopy (EDS) enabled visualization of K{sup +} and Ca{sup 2+} penetration into the aggregate. The appearance of amorphous zones and penetration of positive ions into the aggregate are correlated with the increase in the molar fraction of silanol sites. This degradation is specific to the alkali-silica reaction.

Bulteel, D. [Departement Genie Civil de l'Ecole Nationale Superieure des Techniques Industrielles et des Mines de Douai, 941 rue Charles Bourseul, B.P. 838, F-59508, DOUAI Cedex (France)]. E-mail: bulteel@ensm-douai.fr; Rafai, N. [Laboratoire d'Etude et de Recherches des Materiaux a Arles, F-13631 ARLES (France); Degrugilliers, P. [Departement Genie Civil de l'Ecole Nationale Superieure des Techniques Industrielles et des Mines de Douai, 941 rue Charles Bourseul, B.P. 838, F-59508, DOUAI Cedex (France); Garcia-Diaz, E. [Departement Genie Civil de l'Ecole Nationale Superieure des Techniques Industrielles et des Mines de Douai, 941 rue Charles Bourseul, B.P. 838, F-59508, DOUAI Cedex (France)

2004-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

262

Evaluation of Aggregate Materials in Florida's Future  

E-Print Network (OSTI)

) Aggregates consultant Joe Besharat Districts Three Materials Office, FDOT Aggregates Roland Boney Florida operations Don Conner Rail Management, Inc. Rail logistics John Paul Crews District Two Materials Office Materials Office, FDOT Aggregates Rob Duke Rinker Materials Mine sales and marketing Robert (Bobbi G

263

China Energy Databook - Rev. 4  

E-Print Network (OSTI)

from physical energy intensity indicators (energy consumedin constructing energy intensity indicators than value-addedAll aggregate indicators of energy intensity within sectors

Sinton Editor, J.E.

2010-01-01T23:59:59.000Z

264

Energy efficiency standards for residential and commercial equipment: Additional opportunities  

E-Print Network (OSTI)

Department of Energy. Washington, DC. Report No. LBNL-47463.Expenditures, October, 1998. Washington, DC. Report No. DOE/Program (CLASP). Washington, DC. (Table 2-1). Report No.

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

2004-01-01T23:59:59.000Z

265

Demand-Side Management and Energy Efficiency Revisited  

E-Print Network (OSTI)

of electricity consumption reported by utility n in year telectricity consumption due to energy e?ciency DSM expenditures across utilities and years

Auffhammer, Maximilian; Blumstein, Carl; Fowlie, Meredith

2007-01-01T23:59:59.000Z

266

1999 Commercial Buildings Energy Consumption Survey Detailed Tables  

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

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

267

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1993: Report to Congress  

SciTech Connect

This is the eighth report submitted to Congress in accordance with section 5(d)(2)(E)(ii)(II) of the Low-Level Radioactive Waste Policy Act (the Act). This section of the Act directs the Department of Energy (DOE) to summarize the annual expenditures of funds disbursed from the DOE surcharge escrow account and to assess compliance of these expenditures with the following limitations specified in the Act: establish low-level radioactive waste disposal facilities; mitigate the impact of low-level radioactive waste disposal facilities on the host State; regulate low-level radioactive waste disposal facilities; or ensure the decommissioning, closure, and care during the period of institutional control of low-level radioactive waste disposal facilities. In addition to placing these limitations on the use of these funds, the Act also requires all nonsited compact regions and nonmember States to provide DOE with an itemized report of their expenditures on December 31 of each year in which funds are expended. Within six months after receiving the individual reports, the Act requires the Secretary of Energy to furnish Congress with a summary of the reported expenditures and an assessment of compliance with the specified usage limitations. This report fulfills that requirement.

Not Available

1994-06-01T23:59:59.000Z

268

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1991. Report to Congress in response to Public Law 99-240  

SciTech Connect

This is the sixth report submitted to Congress under section 5(d)(2)(E)(ii)(II) of the Low-Level Radioactive Waste Policy Act of 1985 (the Act). This section of the Act directs the Department of Energy (DOE) to summarize the annual expenditures of funds disbursed from the DOE surcharge escrow account and to assess compliance of these expenditures with the limitations specified in the Act. In addition to placing limitations on the use of these funds, the Act also requires the nonsited compact regions and nonmember States to provide DOE with an itemized report of their expenditures on December 31 of each year in which funds are expended. Within 6 months after receiving the individual reports, the Act requires the Secretary to furnish Congress with a summary of the reported expenditures and an assessment of compliance with the specified usage limitations. This report fulfills that requirement. DOE disbursed funds totaling $15,037,778.91 to the States and compact regions following the July 1, 1986, January 1, 1988, and January 1, 1990, milestones specified in the Act. Of this amount, $3,517,020.56 was expended during calendar year 1991 and $6,602,546.24 was expended during the prior 5 years. At the end of December 1991, $4,918,212.11 was unexpended. DOE has reviewed each of the reported expenditures and concluded that all reported expenditures comply with the spending limitations stated in section 5(d)(2)(E)(i) of the Act.

Not Available

1992-06-01T23:59:59.000Z

269

Alternative Energy Producers Credit (Montana)  

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

The Alternative Energy Producers Credit for 35% of the eligible expenditures on renewable energy generation facilities to be claimed as a tax credit. However, this credit is reduced by the amount...

270

Aggregation in Large Dynamic Panels  

E-Print Network (OSTI)

;, and as = E (w0#8;s#28; ) = E(#21;s). Hence, for su ciently large N and T , the distributed lag coe cients can be consistently estimated by bas = 1N PN i=1 b#21;si , where b#21;i is the least square estimator of #21;i in the autoregressions (30... ). The distribution F#21; is not the same as the distribution of b#21;i when T is ?nite, but bas is consistent at least when T ! 1 followed by N ! 1. Both the aggregate and the disaggregate estimators are biased when T is small. Initially, we also report the estimates...

Pesaran, M. Hashem; Chudik, Alexander

2011-01-31T23:59:59.000Z

271

Relationships between U.S. Consumer Expenditures on Communications and Travel: 1984-2002  

E-Print Network (OSTI)

and new and old communications technologies). The first fourchanges in new communications technology on personal vehiclePV items on old communications technology expenditures. The

Choo, Sangho; Lee, Taihyeong; Mokhtarian, Patricia L

2006-01-01T23:59:59.000Z

272

Table WH5. Total Expenditures for Water Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Total Table WH5. Total Expenditures for Water Heating by Major Fuels Used, 2005 Billion Dollars Electricity Natural Gas Fuel Oil LPG U.S. Households

273

Table WH11. Expenditures Intensity by Main Water Heating Fuel Used ...  

U.S. Energy Information Administration (EIA)

Main Water Heating Fuel Used (Dollars/number of household members) Electricity Table WH11. Expenditures Intensity by Main Water Heating Fuel Used, 2005

274

Table AP4. Total Expenditures for Home Appliances and Lighting by ...  

U.S. Energy Information Administration (EIA)

and Lighting Table AP4. Total Expenditures for Home Appliances and Lighting by Fuels Used, 2005 Billion Dollars U.S. Households (millions) Electricity

275

Table AC7. Average Expenditures for Air-Conditioning by Equipment ...  

U.S. Energy Information Administration (EIA)

Central System 5 Table AC7. Average Expenditures for Air-Conditioning by Equipment Type, 2005 Dollars per Household Type of Air-Conditioning Equipment

276

U.S. household expenditures for gasoline account for nearly 4% of ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, ... a rise in average gasoline prices has led to higher overall household gasoline expenditures.

277

Caloric expenditure and substrate utilization in underwater treadmill running versus land-based treadmill running.  

E-Print Network (OSTI)

??The objective of this study is to compare the caloric expenditure and oxidative sources of underwater treadmill running and land-based treadmill running at maximal and (more)

Schaal, Courtney

2009-01-01T23:59:59.000Z

278

U.S. household expenditures for gasoline account for nearly 4% ...  

U.S. Energy Information Administration (EIA)

Gasoline expenditures in 2012 for the average U.S. household reached $2,912, or just under 4% of income before taxes, according to EIA estimates.

279

The Rhne-Aggregation Land Surface Scheme Intercomparison Project: An Overview  

Science Conference Proceedings (OSTI)

The Rhne-Aggregation (Rhne-AGG) Land Surface Scheme (LSS) intercomparison project is an initiative within the Global Energy and Water Cycle Experiment (GEWEX)/Global LandAtmosphere System Study (GLASS) panel of the World Climate Research ...

A. Boone; F. Habets; J. Noilhan; D. Clark; P. Dirmeyer; S. Fox; Y. Gusev; I. Haddeland; R. Koster; D. Lohmann; S. Mahanama; K. Mitchell; O. Nasonova; G.-Y. Niu; A. Pitman; J. Polcher; A. B. Shmakin; K. Tanaka; B. van den Hurk; S. Vrant; D. Verseghy; P. Viterbo; Z.-L. Yang

2004-01-01T23:59:59.000Z

280

Buildings and Energy in the 1980's - Index Page  

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

Buildings and Energy in the 1980's Buildings and Energy in the 1980's Overview Full Report Tables Analysis of energy consumption, expenditures, and other energy-related data for...

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


281

Residential 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.

282

STATEMENT OF CONSIDERATIONS REQUEST BY UNIVERSAL AGGREGATES,...  

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

Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash." The purpose of the cooperative agreement is to design, construct and operate a...

283

Extracellular Proteins Promote Zinc Sulfide Aggregation  

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

Sulfide Aggregation Print Researchers from the ALS, Berkeley Lab's National Center for Electron Microscopy (NCEM), and Lawrence Livermore National Laboratory analyzed biofilm...

284

Aggregate Absorption - A Methodology for Mixture ...  

Science Conference Proceedings (OSTI)

... Figure 2 provides representative desorption isotherms for an expanded shale lightweight aggregate, measured at a temperature of 20 C at NIST. ...

2005-02-08T23:59:59.000Z

285

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

U.S. Energy Information Administration (EIA)

The major energy sources in the United States are petroleum (oil), natural ... To compare or aggregate energy consumption across different energy sources like oil, ...

286

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

U.S. Energy Information Administration (EIA)

How can we compare or add up our energy consumption? To compare or aggregate energy consumption across different energy sources like oil, natural gas, ...

287

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

U.S. Energy Information Administration (EIA)

How can we compare or add up our energy consumption? To compare or aggregate energy consumption across different energy sources like oil, natural gas, and electricity ...

288

Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector  

E-Print Network (OSTI)

Issues surrounding the development, application and interpretation of energy intensity indicators are a continuing source of debate in the field of energy policy analysis. Although economic energy intensity indicators still dominate intensity/efficiency studies, the use of physical energy intensity indicators is on the rise. In the past, physical energy intensity indicators were not employed since it was often impossible to develop aggregate (sector-level or nation-wide) measures of physical energy intensity due to the difficulties associated with adding diverse physical products. This paper presents the results of research conducted specifically to address this aggregation problem. The research focused on the development of the Composite Indicator Approach, a simple, practical, alternative method for calculating aggregate physical energy intensity indicators. In this paper, the Composite Indicator Approach is used to develop physical energy intensity indicators for the Canadian industrial and manufacturing sectors, and is then compared to other existing methods of aggregation. The physical composite indicators developed using this approach are also evaluated in terms of their reliability and overall usefulness. Both comparisons suggest that the Composite Indicator Approach can be a useful, and ultimately suitable, way of addressing the aggregation problem typically associated with heterogeneous sectors of the economy. r

Mallika N; John Nyboer; Mark Jaccard

1999-01-01T23:59:59.000Z

289

Topology Aggregation for E-science Networks  

Science Conference Proceedings (OSTI)

We propose several algorithms for topology aggregation (TA) to effectively summarize large-scale networks. These TA techniques are shown to significantly better for path requests in e-Science that may consist of simultaneous reservation of multiple paths ... Keywords: Topology aggregation, Multi-domain routing, EScience

Eun-Sung Jung; Sanjay Ranka; Sartaj Sahni

2010-05-01T23:59:59.000Z

290

Net Metering (New Jersey) | Open Energy Information  

Open Energy Info (EERE)

Electric, Tidal Energy, Wave Energy, Wind Active Incentive Yes Implementing Sector StateTerritory Energy Category Renewable Energy Incentive Programs Aggregate Capacity...

291

Breeding on a budget : fundamental links between energy metabolism and mammalian life history trade-offs.  

E-Print Network (OSTI)

??In poor environments, animals reduce their energy expenditure rather than working harder, concludes Kristin Schubert in her thesis. In a study published in the Journal (more)

Schubert, Kristin Angelica

2009-01-01T23:59:59.000Z

292

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

293

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and Expenditures by Square Feet and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

294

Table 1. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ho ...

295

Table 3. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ...

296

Energy Information Administration (EIA)- Commercial Buildings Energy  

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

2 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous 2 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings characteristics tables-number of buildings and amount of floorspace for major building characteristics. Energy consumption and expenditures tables-energy consumption and expenditures for major energy sources. Energy end-use tables-total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Guide to the 1992 CBECS Detailed Tables Released: Nov 1999 Column Categories Row Categories The first set of detailed tables for the 1992 CBECS, Tables A1 through A70,

297

Trust network-based filtering of aggregated claims  

Science Conference Proceedings (OSTI)

On the semantic web, assertions may be aggregated from many sources, those aggregations filtered, reasoned over, aggregated with other aggregators, displayed, scraped, extracted, recombined, and otherwise processed without significant human oversight. ... Keywords: aggregated claims, assertions, information filtering, knowledge bases, ontologies, semantic web, social networks, source reputation, trust networks, trust rating, trustworthiness

Jennifer Golbeck; Bijan Parsia

2006-01-01T23:59:59.000Z

298

1997 Consumption and Expenditures-Data Tables RECS  

U.S. Energy Information Administration (EIA)

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

299

Model for Aggregated Water Heater Load Using Dynamic Bayesian Networks  

Science Conference Proceedings (OSTI)

The transition to the new generation power grid, or smart grid, requires novel ways of using and analyzing data collected from the grid infrastructure. Fundamental functionalities like demand response (DR), that the smart grid needs, rely heavily on the ability of the energy providers and distributors to forecast the load behavior of appliances under different DR strategies. This paper presents a new model of aggregated water heater load, based on dynamic Bayesian networks (DBNs). The model has been validated against simulated data from an open source distribution simulation software (GridLAB-D). The results presented in this paper demonstrate that the DBN model accurately tracks the load profile curves of aggregated water heaters under different testing scenarios.

Vlachopoulou, Maria; Chin, George; Fuller, Jason C.; Lu, Shuai; Kalsi, Karanjit

2012-07-19T23:59:59.000Z

300

Go Local on the New Energy.gov | Department of Energy  

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

does this mean for me? Find local tax credits, rebates and savings to help you save money and energy. Learn more about your energy consumption and expenditures and how that...

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

energy prices | OpenEI  

Open Energy Info (EERE)

prices prices Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

302

NETL: PPII - Commercial Demonstration of the Manufactured Aggregate...  

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

Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash - Project Brief PDF-72KB Universal Aggregates, LLC, King George County, VA...

303

DURABILITY EVALUATION AND PRODUCTION OF MANUFACTURED AGGREGATES FROM COAL COMBUSTION BY-PRODUCTS  

SciTech Connect

Under the cooperative agreement with DOE, the Research and Development Department of CONSOL Energy (CONSOL R&D), teamed with Universal Aggregates, LLC, to conduct a systematic study of the durability of aggregates manufactured using a variety of flue gas desulfurization (FGD), fluidized-bed combustion (FBC) and fly ash specimens with different chemical and physical properties and under different freeze/thaw, wet/dry and long-term natural weathering conditions. The objectives of the study are to establish the relationships among the durability and characteristics of FGD material, FBC ash and fly ash, and to identify the causes of durability problems, and, ultimately, to increase the utilization of FGD material, FBC ash and fly ash as a construction material. Manufactured aggregates made from FGD material, FBC ash and fly ash, and products made from those manufactured aggregates were used in the study. The project is divided into the following activities: sample collection and characterization; characterization and preparation of manufactured aggregates; determination of durability characteristics of manufactured aggregates; preparation and determination of durability characteristics of manufactured aggregate products; and data evaluation and reporting.

M. M. Wu

2005-02-01T23:59:59.000Z

304

DOE/EA-1449; Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash, King George County, Virginia (August 2002)  

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

9 9 ENVIRONMENTAL ASSESSMENT Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash, King George County, Virginia United States Department of Energy National Energy Technology Laboratory August 2002 Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray-dryer Ash, King George County, Virginia ENVIRONMENTAL ASSESSMENT 2 National Environmental Policy Act (NEPA) Compliance Cover Sheet Proposed Action: The proposed action is for the U.S. Department of Energy (DOE) to provide cost- shared financial support to Universal Aggregates, LLC, for the design, construction, and operation of a lightweight aggregate manufacturing plant at the Mirant-Birchwood Power Plant Facility (Mirant-Birchwood Facility) in King George County, Virginia.

305

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

306

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

307

Aggregation of Ice Crystals in Cirrus  

Science Conference Proceedings (OSTI)

Results are given from analysis of the aggregation of thick plate, columnar, and bullet rosette ice crystals in cirrus. Data were obtained from PMS 2D-C images, oil coated slides, and aircraft meteorological measurements. Crystal size ranged from ...

Masahiro Kajikawa; Andrew J. Heymsfield

1989-10-01T23:59:59.000Z

308

Brasil: basic resource aggregation system infrastructure layer  

Science Conference Proceedings (OSTI)

Brasil is a self-contained service which can be deployed across a cluster to provide a dataflow workload distribution and communication aggregation mechanism. Together with our dataflow shell, named PUSH, it is intended to be used for the management ...

Eric Van Hensbergen; Pravin Shinde; Noah Evans

2011-05-01T23:59:59.000Z

309

Costs of aggregate hydrocarbon reserve additions  

E-Print Network (OSTI)

In what follows, we highlight problems created by aggregation using fixed conversion coefficients (Section 1). We then offer an economic index approach as an alternative, one that recognizes changing relative values of oil ...

Adelman, Morris Albert

2002-01-01T23:59:59.000Z

310

Aggregation in the USA Electricity Market  

Science Conference Proceedings (OSTI)

This report examines current and likely future activity in the electricity aggregation market. Using a combination of quantitative and qualitative techniques, the study was designed to provide an understanding of the types of organizations that are currently involved in marketing or aggregating electricity, motives underlying current levels of activity, and preferred types of participation for those choosing to involve themselves. In addition the study examined why other organizations had decided not to ...

1999-12-14T23:59:59.000Z

311

Aggregation in the USA Electricity Market  

Science Conference Proceedings (OSTI)

This report examined current and likely future activity in the electricity aggregation market. Using a combination of quantitative and qualitative techniques, the study was designed to provide an understanding of the types of organizations that are currently involved in marketing for aggregating electricity, motives underlying current levels of activity, and preferred types of participation for those choosing to involve themselves. In addition the study examined why other organizations had decided not to...

1999-11-29T23:59:59.000Z

312

Extracellular Proteins Promote Zinc Sulfide Aggregation  

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

Extracellular Proteins Promote Zinc Sulfide Aggregation Print Extracellular Proteins Promote Zinc Sulfide Aggregation Print Researchers from the ALS, Berkeley Lab's National Center for Electron Microscopy (NCEM), and Lawrence Livermore National Laboratory analyzed biofilm samples rich in zinc sulfide and dominated by sulfate-reducing bacteria, which were collected from lead-zinc mine waters. The researchers were curious about the relationship of the organic material and metals, particularly how organics affect mobility, and its potential for bioremediation. It is known that some organics promote aggregation. Amine-bearing molecules, for example, can organize sulfide nanoparticles into semiconductor nanowires. The research team used a series of imaging techniques and detectors to analyze aggregates of biogenic zinc sulfide nanocrystals in the biofilms. Their examination yielded excellent results and some surprises. They were able to prove that natural organic matter promotes dense aggregation of the zinc sulfide nanocrystals into much larger spheroids and that the organic matter is preserved in nanometer-scale pores in the spheroids. What was not expected was the presence of proteins in the spheroids, making them a key component in aggregation and an example of extracellular biomineralization.

313

Extracellular Proteins Promote Zinc Sulfide Aggregation  

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

Extracellular Proteins Promote Extracellular Proteins Promote Zinc Sulfide Aggregation Extracellular Proteins Promote Zinc Sulfide Aggregation Print Wednesday, 26 September 2007 00:00 Researchers from the ALS, Berkeley Lab's National Center for Electron Microscopy (NCEM), and Lawrence Livermore National Laboratory analyzed biofilm samples rich in zinc sulfide and dominated by sulfate-reducing bacteria, which were collected from lead-zinc mine waters. The researchers were curious about the relationship of the organic material and metals, particularly how organics affect mobility, and its potential for bioremediation. It is known that some organics promote aggregation. Amine-bearing molecules, for example, can organize sulfide nanoparticles into semiconductor nanowires. The research team used a series of imaging techniques and detectors to analyze aggregates of biogenic zinc sulfide nanocrystals in the biofilms. Their examination yielded excellent results and some surprises. They were able to prove that natural organic matter promotes dense aggregation of the zinc sulfide nanocrystals into much larger spheroids and that the organic matter is preserved in nanometer-scale pores in the spheroids. What was not expected was the presence of proteins in the spheroids, making them a key component in aggregation and an example of extracellular biomineralization.

314

Extracellular Proteins Promote Zinc Sulfide Aggregation  

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

Extracellular Proteins Promote Zinc Sulfide Aggregation Print Extracellular Proteins Promote Zinc Sulfide Aggregation Print Researchers from the ALS, Berkeley Lab's National Center for Electron Microscopy (NCEM), and Lawrence Livermore National Laboratory analyzed biofilm samples rich in zinc sulfide and dominated by sulfate-reducing bacteria, which were collected from lead-zinc mine waters. The researchers were curious about the relationship of the organic material and metals, particularly how organics affect mobility, and its potential for bioremediation. It is known that some organics promote aggregation. Amine-bearing molecules, for example, can organize sulfide nanoparticles into semiconductor nanowires. The research team used a series of imaging techniques and detectors to analyze aggregates of biogenic zinc sulfide nanocrystals in the biofilms. Their examination yielded excellent results and some surprises. They were able to prove that natural organic matter promotes dense aggregation of the zinc sulfide nanocrystals into much larger spheroids and that the organic matter is preserved in nanometer-scale pores in the spheroids. What was not expected was the presence of proteins in the spheroids, making them a key component in aggregation and an example of extracellular biomineralization.

315

Relationships between U.S. Consumer Expenditures on Communications and Travel: 1984-2002  

E-Print Network (OSTI)

is, an increase in the price of non-PV goods/services leadsimpact of a change in PV capital prices on expenditures forof Alt. 1, Table 5.4. PV own-price elasticities have also

Choo, Sangho; Lee, Taihyeong; Mokhtarian, Patricia L

2006-01-01T23:59:59.000Z

316

Social and cultural factors as a determinate of ICT expenditures: an empirical study  

Science Conference Proceedings (OSTI)

Information and communication technologies (ICT) have come to hold an important place in strategies for promoting economic growth and development in developing countries. It is known that ICT expenditures as a percent of GDP vary between countries. An ...

Larry Allen; Vivek Natarajan; Donald Price

2012-12-01T23:59:59.000Z

317

Table N11.4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 19  

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

4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 1998;" 4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Million U.S. Dollars." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources","RSE"

318

"Table A38. Total Expenditures for Purchased Electricity, Steam, and Natural Gas"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" 8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Million Dollars)" ,," Electricity",," Steam" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,,"Total United States"

319

Table 7.10 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002;" 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Million U.S. Dollars." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources","RSE"

320

"Table A46. Total Expenditures for Purchased Electricity, Steam, and Natural"  

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

6. Total Expenditures for Purchased Electricity, Steam, and Natural" 6. Total Expenditures for Purchased Electricity, Steam, and Natural" " Gas by Type of Supplier, Census Region, Industry Group, and Selected Industries," 1991 " (Estimates in Million Dollars)" ,," Electricity",," Steam",," Natural Gas" ,,"-","-----------","-","-----------","-","------------","-","RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row" "Code(a)","Industry Groups and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Supplier(b)","Pipelines","Supplier(d)","Factors"

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

"Table A48. Total Expenditures for Purchased Electricity, Steam, and Natural"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural" 8. Total Expenditures for Purchased Electricity, Steam, and Natural" " Gas by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Million Dollars)" ," Electricity",," Steam",," Natural Gas" ,"-","-----------","-","-----------","-","------------","-----------","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Supplier(b)","Pipelines","Supplier(d)","Factors"," "

322

Grid Integration of Aggregated Demand Response, Part 1: Load Availability  

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

Grid Integration of Aggregated Demand Response, Part 1: Load Availability Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Title Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection Publication Type Report LBNL Report Number LBNL-6417E Year of Publication 2013 Authors Olsen, Daniel, Nance Matson, Michael D. Sohn, Cody Rose, Junqiao Han Dudley, Sasank Goli, Sila Kiliccote, Marissa Hummon, David Palchak, Paul Denholm, Jennie Jorgenson, and Ookie Ma Date Published 09/2013 Abstract Demand response (DR) has the potential to improve electric grid reliability and reduce system operation costs. However, including DR in grid modeling can be difficult due to its variable and non-traditional response characteristics, compared to traditional generation. Therefore, efforts to value the participation of DR in procurement of grid services have been limited. In this report, we present methods and tools for predicting demand response availability profiles, representing their capability to participate in capacity, energy, and ancillary services. With the addition of response characteristics mimicking those of generation, the resulting profiles will help in the valuation of the participation of demand response through production cost modeling, which informs infrastructure and investment planning.

323

Energy Information Administration/Short-Term Energy Outlook - January 2005  

Gasoline and Diesel Fuel Update (EIA)

January 2005 January 2005 1 Short-Term Energy Outlook January 2005 Winter Fuels Update (Figure 1) Consumer prices for heating fuels are relatively unchanged since the December Outlook, leaving projections for household heating fuel expenditures about the same as previously projected, despite continued warm weather in the middle of the heating season. Heating oil expenditures by typical Northeastern households are expected to average 30 percent above last winter's levels, with residential fuel oil prices averaging $1.82 per gallon for the October-to-March period. Expenditures for propane-heated households are expected to increase about 20 percent this winter.

324

Energy Information Administration/Short-Term Energy Outlook - February 2005  

Gasoline and Diesel Fuel Update (EIA)

February 2005 February 2005 1 Short-Term Energy Outlook February 2005 Winter Fuels Update (Figure 1) Despite some cold weather during the second half of January, expected average consumer prices for heating fuels this heating season are little changed since the January Outlook, leaving projections for household heating fuel expenditures about the same as previously reported. Heating oil expenditures by typical Northeastern households are expected to average 32 percent above last winter's levels, with residential fuel oil prices averaging $1.82 per gallon for the October-to-March period. Expenditures for propane-heated households are expected to increase about

325

Performance Profiles of Major Energy Producers - Energy ...  

U.S. Energy Information Administration (EIA)

Glossary For Teachers. Energy ... while proceeds from issuing long-term debt increased slightly to $77 billion. ... Description of Financial Terms; Aggregate Data ...

326

Market oriented approach to energy conservation identifying disadvantaged families as target groups for energy assistance programs  

SciTech Connect

Energy expenditures, perceived family well-being, and energy conservation actions were analyzed by family composition and income level. Data were taken from a three state subsample (Arizona, Colorado, and Oregon; N = 2633) of a larger stratified random sample of households in the Western US. Data were collected by mail survey in spring 1981. Self-reported annual energy expenditures were correlated with scores on an Index of Well Being, measuring the extent of cut-backs in several areas of consumption. No significant correlation was found between energy expenditures and the Index of Well Being. The proportion of income spent on residential energy, the energy budget share, however, was significantly correlated with the Index of Well Being. Families were classified according to income and also according to a modernize family-life-cycle (FLC) model, using age of the head of household, marital status, and family size. Significant differences between family types and income groups existed for energy expenditures, the energy budget share, as well as the Index of Well Being. There was no interaction between the two grouping factors, family type and income category, in the case of energy expenditures and scores on the Index of Well Being. A relationship between energy expenditures and climate, measured by heating and cooling degree days, was not found. The inverse relationship between heating and cooling requirements, as well as systematic differences in per unit energy cost appeared to account for this fact.

Marganus, M.G.

1984-01-01T23:59:59.000Z

327

Energy Use in China: Sectoral Trends and Future Outlook  

E-Print Network (OSTI)

shows key indicators of aggregate energy intensity in sevenEnergy (EERE) of Department of Energy (DOE), 2006. Indicators of Energy Intensity

2008-01-01T23:59:59.000Z

328

Evaluation of superpave fine aggregate specification  

E-Print Network (OSTI)

Superpave[] was the final product of the Strategic Highway Research Program's (SHRP) asphalt pavement research effort during 1987-93. Some aspects of the Superpave aggregate specifications are not universally accepted. The validity of the fine aggregate angularity (FAA) requirement is questioned by both the owner agencies and the paving and aggregate industries. The FAA test is based on the assumption that more fractured faces will result in higher void content in the loosely compacted sample; however, this is not always true. The aggregate industry has found that cubical shaped particles, even with 100% fractured faces, may not meet the FAA requirement for high-volume traffic. State agencies are concerned that local materials previously considered acceptable and which have provided good field performance, now cannot meet the Superpave requirements. Twenty three-fine aggregates from different part of the USA were tested using major angularity tests: FAA test, direct shear test, compacted aggregate resistance (CAR) test, image analysis Hough transform, and visual inspection. The results from those tests were compared with the available performance history. The FAA test method does not consistently identify angular, cubical aggregates as high quality materials. There is a fair correlation between the CAR stability value and angle of internal friction (AIF) from direct shear test. No correlation was found between FAA and CAR stability or between FAA and AIF. A good correlation was found between FAA and K-index from Hough transform method. Some cubical crushed aggregates whose FAA values were less than 45 gave very high values of CAR stability, AIF and K-index. The statistical analysis of the SHRP LTPP database reveals that there is no evidence of any good linear relationship between FAA and rutting. Of the methods evaluated, image analysis using Hough transform appears most promising for measuring fine aggregate angularity. Until a replacement method for FAA can be identified, the author recommends that the FAA criteria be lowered from 45. The FAA vs. rutting data analysis should be continued with a larger amount of data as the LTPP SHRP database is expanded.

Chowdhury, Md. Tahjib-Ul-Arif

1999-01-01T23:59:59.000Z

329

Answering ad hoc aggregate queries from data streams using prefix aggregate trees  

Science Conference Proceedings (OSTI)

In some business applications such as trading management in financial institutions, it is required to accurately answer ad hoc aggregate queries over data streams. Materializing and incrementally maintaining a full data cube or even its compression or ... Keywords: Aggregate query, Data cube, Data stream, Data warehousing, Online analytic processing (OLAP)

Moonjung Cho; Jian Pei; Ke Wang

2007-08-01T23:59:59.000Z

330

Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash  

SciTech Connect

Universal Aggregates LLC (UA) was awarded a cost sharing Co-operative Agreement from the Department of Energy (DOE) through the Power Plant Improvement Initiative Program (PPII) to design, construct and operate a lightweight aggregate manufacturing plant at the Birchwood Power Facility in King George, Virginia in October 2001. The Agreement was signed in November 2002. The installation and start-up expenses for the Birchwood Aggregate Facility are $19.5 million. The DOE share is $7.2 million (37%) and the UA share is $12.3 million (63%). The original project team consists of UA, SynAggs, LLC, CONSOL Energy Inc. and P. J. Dick, Inc. Using 115,000 ton per year of spray dryer ash (SDA), a dry FGD by-product from the power station, UA will produce 167,000 tons of manufactured lightweight aggregate for use in production of concrete masonry units (CMU). Manufacturing aggregate from FGD by-products can provide an economical high-volume use and substantially expand market for FGD by-products. Most of the FGD by-products are currently disposed of in landfills. Construction of the Birchwood Aggregate Facility was completed in March 2004. Operation startup was begun in April 2004. Plant Integration was initiated in December 2004. Integration includes mixing, extrusion, curing, crushing and screening. Lightweight aggregates with proper size gradation and bulk density were produced from the manufacturing aggregate plant and loaded on a stockpile for shipment. The shipped aggregates were used in a commercial block plant for CMU production. However, most of the production was made at low capacity factors and for a relatively short time in 2005. Several areas were identified as important factors to improve plant capacity and availability. Equipment and process control modifications and curing vessel clean up were made to improve plant operation in the first half of 2006. About 3,000 tons of crushed aggregate was produced in August 2006. UA is continuing to work to improve plant availability and throughput capacity and to produce quality lightweight aggregate for use in commercial applications.

Milton Wu; Paul Yuran

2006-12-31T23:59:59.000Z

331

Managing R&D Risk in Renewable Energy  

E-Print Network (OSTI)

75: 547-561. Chevron (2008). Renewable Energy At Chevron.www.chevronenergy.com/renewable_energy/ . Accessed on JuneOptimizing the Level of Renewable Electric R&D Expenditures

Rausser, Gordon C.; Papineau, Maya

2008-01-01T23:59:59.000Z

332

Challenges in Flexible Aggregation of Pervasive Data  

E-Print Network (OSTI)

The vision of billions of users connected to millions of services using trillions of devices is fast becoming a reality. The result will be a vast network of mobile communication devices and data sources, including sensors, newsfeeds, web services, and databases. Potential uses of this data span a wide range of application domains, including medical monitoring, traffic routing, proximity detection, electricity management, and service-fleet dispatching. Applications require flexible mechanisms for constructing condensed and refined views of the raw data, possibly in ways unanticipated by the data providers. Aggregation comprises collection of high volumes of raw data from data sources, composition of the raw data into less voluminous refined data, and timely delivery of the refined data to applications. There are difficult challenges inherent in creating an aggregation system that is sufficiently flexible, scalable, and reliable to address the needs of applications. 1 The aggregation...

Norman H. Cohen; Norman H. Cohen; Apratim Purakayastha; Apratim Purakayastha; John Turek; John Turek; Luke Wong; Luke Wong; Danny Yeh; Danny Yeh

2001-01-01T23:59:59.000Z

333

Microeconomic Inventory Adjustment and Aggregate Dynamics  

E-Print Network (OSTI)

We examine microeconomic and aggregate inventory dynamics in the business sector of the U.S. economy. We employ high-frequency ...rm-level data and use an empirically tractable model, in which the aggregate dynamics are derived explicitly from the underlying microeconomic data. Our results show that the microeconomic adjustment function in both the manufacturing and trade sectors is nonlinear and asymmetric, results consistent with ...rms using (S; s)-type inventory policies. There are dierences in the estimated adjustment functions between the two sectors as well as the durable and nondurable goods ...rms within each sector. The estimated adjustment function is remarkably stable across subperiods, indicating little change in the inventory adjustment process over time. As predicted by our model, higher moments of the cross-sectional distribution of inventory deviations aect aggregate inventory dynamics. Both authors are aliated with the Research Department, Federal Reserve...

Jonathan Mccarthy; Egon Zakrajsek; We Thank Palle Andersen; Andy Caplin; Mark Gertler; John Haltiwanger; Jim Harrigan; Brad Humphreys; Spence Krane; Trish Mosser; Simon Potter; Tom Sargent

1998-01-01T23:59:59.000Z

334

State energy data | OpenEI  

Open Energy Info (EERE)

0 0 Varnish cache server State energy data Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

335

The cost of dying on Medicare: an analysis of expenditure data  

E-Print Network (OSTI)

Roughly one third of Medicare expenditures are made on behalf of beneficiaries in their terminal year, though only five percent of the Medicare-covered population dies annually. Per-capita spending on decedents is as much as six times the level of spending on survivors. The demographic, technological and political trends that will determine the future path of spending on terminal-year beneficiaries have important implications for the fiscal well-being of the Medicare program, and by extension, the American taxpayer. Coming to an understanding of the moving parts that will control the path of the cost of dying on Medicare is vital for careful consideration of Medicare??s future, and for any discussions about further reform of the program. Analysis of expenditures in the terminal year must be made while keeping in mind the fact that major expenditures are often made in surviving years. The spike in spending in the terminal period rightly focuses attention to expenditures near death, but also we should proceed in its analysis keeping in mind that it is not the only spell of elevated medical spending for a typical individual. Given those cautions, however, the cost of dying on Medicare stands as an important area of economic inquiry and policy consideration. As total Medicare expenditures top a quarter trillion dollars, the third of that spending which covers treatments in beneficiaries?? terminal years ought to be understood more fully than it is currently.

House, Donald Reed

2005-08-01T23:59:59.000Z

336

Operations Expenditures: Historical Trends and Continuing Challenges (Presentation)  

Science Conference Proceedings (OSTI)

In this presentation for the American Wind Energy Association 2013 conference, NREL's Eric Lantz examines historical trends and continuing challenges of wind power operating expenses. Lowering such expenses could increase profitability and contribute to lowering the cost of energy.

Lantz, E.

2013-05-01T23:59:59.000Z

337

Propagating and aggregating trust with uncertainty measure  

Science Conference Proceedings (OSTI)

Trust networks have been recognized as a valuable component of many modern systems, such as e-commerce or recommender systems, as they provide a way of quality assessment. In addition to adequate modeling of trust in such network, two fundamental issues ... Keywords: IFS, global trust, intuitionistic fuzzy sets, local trust, relative scalar cardinality of IFS, trust aggregation, trust propagation

Anna Stachowiak

2011-09-01T23:59:59.000Z

338

Bipolar queries: An aggregation operator focused perspective  

Science Conference Proceedings (OSTI)

The concept of a bipolar query, meant as a database query that involves both negative and positive conditions, is discussed from the point of view of flexible database querying and modeling of more sophisticated intentions and preferences of the user. ... Keywords: Aggregation operators, Bipolar queries, Flexible queries, Fuzzy logic, Logical connectives modeling

S?awomir Zadro?ny; Janusz Kacprzyk

2012-06-01T23:59:59.000Z

339

Programming with partially specified aggregates in Java  

Science Conference Proceedings (OSTI)

Various forms of data aggregates, e.g., arrays, lists, sets, etc., are usually provided by programming languages, either as primitive entities or as additional features made available by standard libraries. In conventional programming languages these ... Keywords: Constraints, Declarative programming, Finite sets, Logical variables

F. Bergenti; L. Chiarabini; G. Rossi

2011-10-01T23:59:59.000Z

340

Aggregate Terminal Velocity/Temperature Relations  

Science Conference Proceedings (OSTI)

Terminal velocities of snow aggregates in storms along the Front Range in eastern Colorado are examined with a ground-based two-dimensional video disdrometer. Power-law relationships for particles having equivalent volume diameters of 0.520 mm ...

Edward A. Brandes; Kyoko Ikeda; Gregory Thompson; Michael Schnhuber

2008-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Mine-to-Mill Optimization of Aggregate Production  

Science Conference Proceedings (OSTI)

Mine-to-Mill optimization is a total systems approach to the reduction of energy and cost in mining and processing. Developed at the Julius Krutschnitt Mineral Research Center in Queensland, Australia, the Mine-to-Mill approach attempts to minimize energy consumption through optimization of all steps in the size reduction process. The approach involves sampling and modeling of blasting and processing, followed by computer simulation to optimize the operation and develop alternatives. The most promising alternatives are implemented, and sampling is conducted to quantify benefits. In the current project, the primary objective was to adapt Mine-to-Mill technology to the aggregates industry. The first phase of this work was carried out at the Bealeton Quarry near Fredericksburg, Virginia. The second phase was carried out at the Pittsboro Quarry south of Chapel Hill, North Carolina. Both quarries are operated by Luck Stone Corporation of Richmond, Virginia. As a result of the work, several conclusions can be drawn from the project which should assist DOE in assessing the applicability of the Mine-to-Mill approach to the aggregates industry. 1. Implementation of MTM guidelines at Pittsboro has resulted in tangible improvements in productivity. It is clear that MTM guidelines represent an energy savings of around 5% (primary and secondary) and an overall energy savings of 1%. This 1-5% energy savings is also consistent with simulated results for Bealeton had side-by-side shots used to evaluate the technology been carried out in the same rockmass. 2. Luck Stone clearly runs their operations at a high standard. Hence the percentage improvement realized in this project may represent the lower end of what might be expected overall in the aggregates industry. 3. Variability in ore types across both Bealeton and Pittsboro suggests a 2:1 difference in hardness which contradicts the misconception that quarry rock is homogenous. Therefore, the idea of comparing side-by-side blasts is not viable and long term comparisons stand the best chance of confirming the benefits of optimized blasting. 4. There are clear limitations on how much improvement can be made in the aggregate industry due to the fixed feed size that reports to the tertiary section of a typical aggregate plant. These limitations restrict the MTM approach from exercising significant increases in blasting which would only serve to increase fines and reduce product yield. 5. The key to success at Pittsboro was the development of MTM guidelines for the modified blasting practice in consultation with the drill & blast crew. Their full buy-in was necessary to implement optimized blasting in a sustained manner. 6. The JKSimBlast and JKSimMet models have proven to be effective tools for examining blasting and processing at Bealeton and Pittsboro. These models should enable Luck Stone to transfer the MTM approach to other sites.

Greg Adel; Toni Kojovic; Darren Thornton

2006-09-30T23:59:59.000Z

342

Buildings Energy Data Book  

Buildings Energy Data Book (EERE)

4.1 Federal Buildings Energy Consumption 4.1 Federal Buildings Energy Consumption 4.2 Federal Buildings and Facilities Characteristics 4.3 Federal Buildings and Facilities Expenditures 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to the tables This chapter provides information on Federal building energy consumption, characteristics, and expenditures, as well as information on legislation affecting said consumption. The main points from this chapter are summarized below: In FY 2007, Federal buildings accounted for 2.2% of all building energy consumption and 0.9% of total U.S. energy consumption.

343

Selling Random Energy  

E-Print Network (OSTI)

Selling Random Energy in a Two-Settlement System 3.1Wind Energy Aggregation and Profit Sharing 4.1 IntroductionPower Model . . . . . . . . . . . . . 5.3.2 Energy Storage

Bitar, Eilyan Yamen

2011-01-01T23:59:59.000Z

344

2001 Consumption and Expenditures-Detailed Data Tables  

U.S. Energy Information Administration (EIA)

This section contains the data collection forms used in 1997 Residential Energy Consumption Survey (RECS). Also included are the U.S. Census regions and climate zone ...

345

2001 Consumption and Expenditures -- Electric Air-Conditioning ...  

U.S. Energy Information Administration (EIA)

CE3-1c. Electric Air-Conditioning Energy Consumption in U.S. Households by Climate Zone, 2001 : 2: CE3-2c. ...

346

Household Projection and Its Application to Health/Long-Term Care Expenditures in Japan Using INAHSIM-II  

Science Conference Proceedings (OSTI)

Using a microsimulation model named Integrated Analytical Model for Household Simulation (INAHSIM), the author conducted a household projection in Japan for the period of 2010??2050. INAHSIM-II specifically means that the initial population is ... Keywords: dynamic micro simulation, health expenditure, household projection, initial population, long-term care expenditure, transition probabilities

Tetsuo Fukawa

2011-02-01T23:59:59.000Z

347

Community Choice Community Choice Aggregation (CCA) enables California cities  

E-Print Network (OSTI)

Community Choice Community Choice Aggregation (CCA) enables California cities and counties, and are looking at Community Choice Aggregation as a mechanism for doing so. When California deregulated the same utilities that provided it before deregulation. Community Choice Aggregation offers an opportunity

348

Reducing false positives in anomaly detectors through fuzzy alert aggregation  

Science Conference Proceedings (OSTI)

In this paper we focus on the aggregation of IDS alerts, an important component of the alert fusion process. We exploit fuzzy measures and fuzzy sets to design simple and robust alert aggregation algorithms. Exploiting fuzzy sets, we are able to robustly ... Keywords: Aggregation, Anomaly detection, Fuzzy measures, Fuzzy sets, Intrusion detection, Multisensor fusion

Federico Maggi; Matteo Matteucci; Stefano Zanero

2009-10-01T23:59:59.000Z

349

IN-VIVO EXPOSURE CHARACTERIZATION AND VISUALIZATION OF SWNH AGGREGATES  

DOE Green Energy (OSTI)

As the manufacturing and use of nanomaterials and nanoparticle clusters/aggregates become prevalent in the future, it will be necessary to understand the biological interactions with this new class of materials introduced through various routes, intentionally or unintentionally. However, there currently exist a host of technical/methodological issues related to nanotoxicological study. For example, the ability to generate reproducible precision nanomaterial and nanoparticles is critically needed for both toxicological evaluation and pharmaceutical applications. Technology for tracing and visualization of nanomaterials in biological systems are also lacking. Single-walled carbon nanohorn (SWNH) is a unique carbon nanostructure belonging to the same family as the famous carbon nanotubes. SWNH aggregates can be produced through laser vaporization of carbon at room temperature; the aggregates are of particular interest to energy application such as hydrogen storage and new-generation of fuel cells. Unlike carbon nanotubes that are made using metal catalysts, SWNHs can be made without the use of a metal catalyst providing an opportunity for nanotoxicological study of purest carbon nanoparticles with no complication of trace metal toxicity that the nanotubes might have. We summarize results from our ongoing biological research on SWNHs. Our results were from in vivo animal aspiration experiments, in contrast to the results of a recent publication that were based on phenotypic observation of cell-line exposure experiments. The characterization results of ORNL-produced SWNHs are presented in Figure 1, which include low- (Figure 1a) and high-resolution (Figure 1b) structural images of SWNHs, the thermal gravimetric analysis (Figure 1c) and characteristic Raman (Figure 1d) results. We coated the SWNH powder with Pluronic F-127, which is a biocompatible polymer, to facilitate the dispersion of SWNHs in suspension during pressure-driven nebulization in mice aspiration and nose-only inhalation experiments. The phenotypic and genomic expression results are reported by. Twenty-two inflammatory measures from bronchoalveolar lavage were assayed. Only five showed significant changes from the control (e.g., G-CSF, GM-CSF, IP-10, and IL-5) in 24 hours after exposure indicating acute inflammatory responses; however, the responses subsided in 7 days and no significant difference could be found between the control and exposed groups. Whole lung microarray analysis also found few differences between SWNH-exposed and controls of several genes in 24 hours. The SWNH aggregates did penetrate cell membranes; the stained optical microscopy images show the presence of SWNH aggregates in mice red blood cell. The images results are consistent with visualization by using the Scanning Near Field Ultrasound Holography (SNFUH) available at the Oak Ridge National Laboratory. The SNFUH also provided transport information regarding the transport dynamics of the SWNH aggregates into the cells. The visualization showing consistent results with those obtained from the stained optical microscopy.

Lynch, Rachel M [ORNL; Voy, Brynn H [ORNL; Zhao, Bin [ORNL; Mahurin, Shannon Mark [ORNL; Thundat, Thomas George [ORNL; Cheng, Mengdawn [ORNL; Passian, Ali [ORNL; Venmar, Katherine T [ORNL; Tetard, Laurene [ORNL

2007-01-01T23:59:59.000Z

350

Net Metering (Washington) | Open Energy Information  

Open Energy Info (EERE)

Hydroelectric, Solar Thermal Electric, Wind Active Incentive Yes Implementing Sector StateTerritory Energy Category Renewable Energy Incentive Programs Aggregate Capacity...

351

Net Metering (Alaska) | Open Energy Information  

Open Energy Info (EERE)

Energy Category Renewable Energy Incentive Programs Aggregate Capacity Limit 1.5% of average retail demand Applicable Utilities Utilities with annual retail sales of 5,000,000...

352

Table C37. Total District Heat Consumption and Expenditures for ...  

U.S. Energy Information Administration (EIA)

HVAC Maintenance ..... 60 5,154 86 612 6,987 Energy Management and Control System (EMCS) ..... 18 2,782 158 320 3,636 Equipment Usage Reduced When ...

353

Measurement and quantification of aggregate thermal coefficient of expansion  

E-Print Network (OSTI)

The coefficient of thermal expansion of concrete affects thermal related distresses in pavements. Factors affecting expansion of concrete and aggregates along with existing models are reviewed. A test method to measure the coefficient of thermal expansion of aggregates is proposed. Existing methods used to analyze oxide contents are evaluated. A relation between the oxide content of various elements in aggregates and the CTE of aggregate is presented. Results obtained from the proposed method are presented. A model is also presented for the CTE of concrete based on aggregate properties.

Chande, Gautam U

1997-01-01T23:59:59.000Z

354

NETL: PPII - Commercial Demonstration of the Manufactured Aggregate  

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

Demonstration Project Documents - Industrial Applications Demonstration Project Documents - Industrial Applications Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash - Project Brief [PDF-72KB] Universal Aggregates, LLC, King George County, VA PROJECT FACT SHEET Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash [PDF-412KB] (Feb 2008) PROGRAM PUBLICATIONS Final Report Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Absorber Ash [PDF-4.5MB] (Nov 2007) CCT Reports: Project Performance Summaries, Post-Project Assessments, & Topical Reports Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash: A DOE Assessment [PDF-170KB] (Mar 2008)

355

Improved engineering-economic model of residential energy use. [1970-2000  

SciTech Connect

An improved version of the ORNL residential energy use model was developed to simulate energy use in the residential sector from 1970 through 2000. The model provides considerable detail on annual energy uses by fuel, end use, and housing type; and also estimates annual equipment installations and ownership, equipment energy requirements, structural thermal integrities, fuel expenditures, equipment costs, and costs for improving thermal integrities on new and existing housing units. Thus, the model provides considerable detail on residential energy uses and associated costs. These details are useful for evaluating alternative energy conservation policies, programs, and technologies for their energy and economic effects during the next quarter century. The present version of the model deals with four fuels, eight end uses, and three housing types. Each of these 96 fuel use components is calculated each year as a function of stocks of occupied housing units and new construction, equipment ownership by fuel and end use, thermal integrity of housing units, average unit energy requirements for each equipment type, and usage factors that reflect household behavior. Simulations of energy use from 1960 to 1975 show that the model accurately predicts historical data on aggregate energy use, energy use by fuel, energy use by end use, and equipment ownership market-shares. A reference projection developed with the model shows residential energy use growing from 17.5 GGJ (10/sup 18/ joules) in 1975 to 18.5 GGJ in 1980 and 26.6 GGJ in 2000, with an average annual growth rate of 1.7 percent. Electricity increases its share of the energy budget from 44 percent in 1975 to 67 percent in 2000. Shares provided by gas, oil, and other fuels all decline during this period.

Hirst, E.; Cope, J.; Cohn, S.; Lin, W.; Hoskins, R.

1977-04-01T23:59:59.000Z

356

Managing R&D Risk in Renewable Energy  

E-Print Network (OSTI)

effects of backstop technology R&D on climate policy models.the Level of Renewable Electric R&D Expenditures Using RealIncredible Shrinking US Energy R&D Budget. Issues in Science

Rausser, Gordon C.; Papineau, Maya

2008-01-01T23:59:59.000Z

357

Short-Term Energy and Winter Fuels Outlook October 2013  

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

and Winter Fuels Outlook October 2013 1 October 2013 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights EIA projects average U.S. household expenditures for natural...

358

Monthly energy review, August 1995  

Science Conference Proceedings (OSTI)

Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

NONE

1995-08-24T23:59:59.000Z

359

United States - Rankings - U.S. Energy Information Administration (EIA)  

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

Rankings Rankings Additional State Rankings Consumption Total Energy per Capita Prices Natural Gas Electricity Environment Carbon Dioxide Emissions Expenditures Total Energy per Capita Production Total Energy Crude Oil Natural Gas Coal Electricity More State Ranking Tables › Notes & Sources Consumption Total Energy per Capita: EIA, State Energy Data System, Total Consumption Per Capita Expenditures Total Energy per Capita: EIA, State Energy Data System, Total Expenditures Per Capita Production Total Energy: EIA, State Energy Data System, Total Energy Production Crude Oil: EIA, Petroleum Supply Annual, Crude Oil Production Natural Gas: EIA, Natural Gas Annual, Natural Gas Gross Withdrawals and Production Coal: EIA, Annual Coal Report, Coal Production and Number of Mines by State

360

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

SciTech Connect

In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

Friedman, B.; Miller, M.

2009-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Modeling aggregate investment: A fundamentalist approach  

E-Print Network (OSTI)

Revised version Abstract: This paper applies some lessons from recent estimation of investment models with firm-level data to the aggregate data with an eye to rehabilitating convex costs of adjusting the capital stock. In recent firm-level work, the response of investment to output and other fundamental variables is interpreted in terms of the traditional convex-adjustment-cost model, implying annual capital-stock adjustment speeds on the order of 15 to 35 percent. In aggregate data, I find that this fundamentalist model can account for the reduced-form effect of output on investment and the estimated capital-stock adjustment speed is similar to those from firm-level studies around 25 percent per year. To account for the slower adjustment to changes in the cost of capital, I consider a model in which the capital-intensity of production is also costly to adjust. I find that this model can account for the reduced-form effects of both output and the cost of capital on investment.

John M. Roberts

2003-01-01T23:59:59.000Z

362

Technical support document: Energy conservation standards for consumer products: Dishwashers, clothes washers, and clothes dryers including: Environmental impacts; regulatory impact analysis  

SciTech Connect

The Energy Policy and Conservation Act as amended (P.L. 94-163), establishes energy conservation standards for 12 of the 13 types of consumer products specifically covered by the Act. The legislation requires the Department of Energy (DOE) to consider new or amended standards for these and other types of products at specified times. This Technical Support Document presents the methodology, data and results from the analysis of the energy and economic impacts of standards on dishwashers, clothes washers, and clothes dryers. The economic impact analysis is performed in five major areas: An Engineering Analysis, which establishes technical feasibility and product attributes including costs of design options to improve appliance efficiency. A Consumer Analysis at two levels: national aggregate impacts, and impacts on individuals. The national aggregate impacts include forecasts of appliance sales, efficiencies, energy use, and consumer expenditures. The individual impacts are analyzed by Life-Cycle Cost (LCC), Payback Periods, and Cost of Conserved Energy (CCE), which evaluate the savings in operating expenses relative to increases in purchase price; A Manufacturer Analysis, which provides an estimate of manufacturers' response to the proposed standards. Their response is quantified by changes in several measures of financial performance for a firm. An Industry Impact Analysis shows financial and competitive impacts on the appliance industry. A Utility Analysis that measures the impacts of the altered energy-consumption patterns on electric utilities. A Environmental Effects analysis, which estimates changes in emissions of carbon dioxide, sulfur oxides, and nitrogen oxides, due to reduced energy consumption in the home and at the power plant. A Regulatory Impact Analysis collects the results of all the analyses into the net benefits and costs from a national perspective. 47 figs., 171 tabs. (JF)

1990-12-01T23:59:59.000Z

363

Technical support document: Energy conservation standards for consumer products: Dishwashers, clothes washers, and clothes dryers including: Environmental impacts; regulatory impact analysis  

SciTech Connect

The Energy Policy and Conservation Act as amended (P.L. 94-163), establishes energy conservation standards for 12 of the 13 types of consumer products specifically covered by the Act. The legislation requires the Department of Energy (DOE) to consider new or amended standards for these and other types of products at specified times. This Technical Support Document presents the methodology, data and results from the analysis of the energy and economic impacts of standards on dishwashers, clothes washers, and clothes dryers. The economic impact analysis is performed in five major areas: An Engineering Analysis, which establishes technical feasibility and product attributes including costs of design options to improve appliance efficiency. A Consumer Analysis at two levels: national aggregate impacts, and impacts on individuals. The national aggregate impacts include forecasts of appliance sales, efficiencies, energy use, and consumer expenditures. The individual impacts are analyzed by Life-Cycle Cost (LCC), Payback Periods, and Cost of Conserved Energy (CCE), which evaluate the savings in operating expenses relative to increases in purchase price; A Manufacturer Analysis, which provides an estimate of manufacturers' response to the proposed standards. Their response is quantified by changes in several measures of financial performance for a firm. An Industry Impact Analysis shows financial and competitive impacts on the appliance industry. A Utility Analysis that measures the impacts of the altered energy-consumption patterns on electric utilities. A Environmental Effects analysis, which estimates changes in emissions of carbon dioxide, sulfur oxides, and nitrogen oxides, due to reduced energy consumption in the home and at the power plant. A Regulatory Impact Analysis collects the results of all the analyses into the net benefits and costs from a national perspective. 47 figs., 171 tabs. (JF)

Not Available

1990-12-01T23:59:59.000Z

364

Solar | Department of Energy  

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

remote net metering for non-residential solar and wind energy systems, and farm-based biogas and wind energy systems. It also adopted a measure to increase the aggregate net...

365

Table 7.10 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010;  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Million U.S. Dollars. Electricity Components Natural Gas Electricity Electricity from Sources Natural Gas NAICS Electricity from Local Other than Natural Gas from Local Code(a) Subsector and Industry Total Utility(b) Local Utility(c) Total Utility(b) Total United States 311 Food 5,328 4,635 692 3,391 1,675 3112 Grain and Oilseed Milling 932 850 82 673 261 311221 Wet Corn Milling 352 331 21 296 103 31131 Sugar Manufacturing 105 87 18 87 39 3114 Fruit and Vegetable Preserving and Specialty Foods 698

366

Relationships between US consumer expenditures on communications and transportation using almost ideal demand system modeling: 1984-2002  

E-Print Network (OSTI)

diture elasticity Price elasticity Non-PV Marshallian (impact of a change in PV capital prices on expenditures forin the non-PV category are own-price elastic, consistent

Choo, Sangho; Lee, Taihyeong; Mokhtarian, Patricia L

2007-01-01T23:59:59.000Z

367

A General Relationship between Disorder, Aggregation, and Charge...  

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

Aggregation, and Charge Transport in Conjugated Polymers Monday, September 23, 2013 The potential for combining low-cost manufacturing and mechanical robustness with engineering...

368

Aggregate Production Planning for Process Industries under Competition  

E-Print Network (OSTI)

A Linear Programming Approach to Production and EmploymentA.C. 1978. Aggregate Production Planning. Handbook ofH.A. Simon. 1960. Planning Production, Inventories and Work

Karmarkar, U. S.; Rajaram, K.

2008-01-01T23:59:59.000Z

369

Characterization of Dry Aggregates in Carbon Anodes by Image ...  

Science Conference Proceedings (OSTI)

Anodes are mainly composed of dry aggregates such as calcined petroleum coke and recycled materials with pitch as the binder. Granulometry of the dry...

370

Metabolic adaptation for low energy throughput in orangutans  

E-Print Network (OSTI)

reflect known differences in life history. Using the doubly labeled water method, we measured daily energy. daily energy expenditure | energetics | life history | doubly labeled water All animals require energy history of orangutans results from decreased energy throughput rather than changes in energy allocation

Pontzer, Herman

371

Kinetic and hydrodynamic models of chemotactic aggregation  

E-Print Network (OSTI)

We derive general kinetic and hydrodynamic models of chemotactic aggregation that describe certain features of the morphogenesis of biological colonies (like bacteria, amoebae, endothelial cells or social insects). Starting from a stochastic model defined in terms of N coupled Langevin equations, we derive a nonlinear mean field Fokker-Planck equation governing the evolution of the distribution function of the system in phase space. By taking the successive moments of this kinetic equation and using a local thermodynamic equilibrium condition, we derive a set of hydrodynamic equations involving a damping term. In the limit of small frictions, we obtain a hyperbolic model describing the formation of network patterns (filaments) and in the limit of strong frictions we obtain a parabolic model which is a generalization of the standard Keller-Segel model describing the formation of clusters (clumps). Our approach connects and generalizes several models introduced in the chemotactic literature. We discuss the anal...

Chavanis, Pierre-Henri

2007-01-01T23:59:59.000Z

372

Defect aggregation kinetics in calcium fluoride  

Science Conference Proceedings (OSTI)

Defects in solid materials are responsible for many of their most interesting and critical properties. The authors have developed a site-selective laser technique that allows us to monitor the aggregation of rare earth ion defects in solids on the microscopic scale. This excitation absorption laser method enables us to derive kinetic rate information and thermodynamic parameters for the distribution of defects in solids. For doped materials, various types of defects arise when the dopant ions have ionic charges that differ from the charges of host crystal ions. In model systems such as alkaline earth fluorides doped with trivalent rare earth ions, some defect sites consist of a single dopant ion, while others consist of clusters of dopant cations and interstitial anions. Heat treatment of doped samples leads to a distribution of the various types of defect sites that is characteristic of the temperature and length of heat treatment and the total dopant ion concentration. The results from a study of the formation of trivalent europium ion defect aggregates in calcium fluoride indicate that our method successfully monitors changes in individual site concentrations resulting from heat treatment. The results of this study are consistent with the formation of negatively charged dimer and trimer defects in Eu{sup 3+}:CaF{sub 2} crystals from isolated europium ion and (Eu:F{sub i}) single pair defects. In addition, he presents evidence for rapid equilibrium between the isolated ion and the single pair. Other work presented in this thesis includes the development of a high-temperature fluorine oxidation apparatus that was used to convert divalent europium ions to the trivalent state in calcium fluoride single crystals. This apparatus was also used to increase the superconducting {Tc}'s of YBa{sub 2}Cu{sub 3}O{sub 7-x} through modification of copper-oxygen oxidation states.

Cirillo, K.M.

1989-01-01T23:59:59.000Z

373

Preliminary Findings from an Analysis of Building Energy Information System Technologies  

E-Print Network (OSTI)

service providers Energy service and DR providers TridiumEIS vendors and developers, energy service providers, policyIntended end user - energy service providers, aggregators,

Granderson, Jessica

2009-01-01T23:59:59.000Z

374

NREL: Energy Systems Integration - Campus, City, and Community...  

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

Campus, City, and Community Integration Energy systems integration R&D on a campus, city, and community scale encompasses technologies such as campus energy aggregation,...

375

Summary of expenditures of rebates from the low-level radioactive waste surcharge escrow account for calendar year 1989: Report to Congress in response to Public Law 99-240  

SciTech Connect

This response is submitted in response to the Low-Level Radioactive Waste Policy Amendments Act of 1985 (the Act), Public Law 99-240. The report summarizes expenditures made during the calendar year 1989 of surcharge rebates from the July 1, 1986, milestones. Title I of the Act requires the Department of Energy (DOE) to administer a Surcharge Escrow Account. This account consists of a portion of the surcharge fees paid by generators of low-level radioactive waste in nonsited compacts (regional compacts currently without operating disposal sites) and nonmember States (States without disposal sites that are not members of compacts) to the three States with operating disposal facilities (Nevada, South Carolina, and Washington) (sited States) for using their disposal facilities. In administering the Surcharge Escrow Account, the Act requires DOE to: invest the funds in interest-bearing United States Government securities; determine eligibility of rebates of the funds by evaluating State and compact progress toward developing new disposal sites against milestones set forth in the Act; disburse the collected rebates and interest; assess compliance of rebate expenditures with the limitations prescribed in the Act; and submit a report annually to Congress summarizing rebate expenditures by States and regions. 5 tabs.

Not Available

1990-06-01T23:59:59.000Z

376

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Projected Winter Fuel Expenditures by Fuel and Region Projected Winter Fuel Expenditures by Fuel and Region The average household winter heating fuel expenditures discussed in this STEO provide a broad guide to changes compared with last winter. However, fuel expenditures for individual households are highly dependent on local weather conditions, market size, the size and energy efficiency of individual homes and their heating equipment, and thermostat settings (see Winter Fuels Outlook table). Forecast temperatures are close to last winter nationally, with the Northeast about 3% colder and the West 3% warmer. Natural Gas About one-half of U.S. households use natural gas as their primary heating fuel. EIA expects households heating with natural gas to spend an average of $80 (13%) more this winter than last winter. The increase in natural gas

377

Calculating excited states of molecular aggregates by the renormalized excitonic method  

E-Print Network (OSTI)

In this paper, we apply the recently developed \\emph{ab initio} renormalized excitonic method (REM) to the excitation energy calculations of various molecular aggregates, through the extension of REM to the time-dependent density functional theory (TDDFT). Tested molecular aggregate systems include one-dimensional hydrogen-bonded water chains, ring crystals with $\\pi$-$\\pi$ stacking or van-der Waals interactions and the general aqueous systems with polar and non-polar solutes. The basis set factor as well as the effect of the exchange-correlation functionals are also investigated. The results indicate that the REM-TDDFT method with suitable basis set and exchange-correlation functionals can give good descriptions of excitation energies and excitation area for lowest electronic excitations in the molecular aggregate systems with economic computational costs. It's shown that the deviations of REM-TDDFT excitation energies from those by standard TDDFT are much less than 0.1 eV and the computational time can be r...

Ma, Yingjin

2013-01-01T23:59:59.000Z

378

Annual and Aggregate Loan Limits 2011-12 Stafford Loans  

E-Print Network (OSTI)

Annual and Aggregate Loan Limits 2011-12 Stafford Loans Medical students 1st year 2nd year 3rd year 4th year Aggregate Subsidized Stafford (maximum amount shown; amount is lower if student has less need) $8,500 $8,500 $8,500 $8,500 $65,500 Unsubsidized Stafford (maximum amount shown; amount is lower

Tufts University

379

Aggregations of tuna can be found in association with seamounts  

E-Print Network (OSTI)

392 Aggregations of tuna can be found in association with seamounts throughout all the tropical oceans and these aggregations are often exploited by tuna fishing fleets (Fonteneau, 1991). In Hawaii subadult tuna found in association with the Cross Seamount located approximately 160 nmi south of Honolulu

Hawai'i at Manoa, University of

380

A Note on Rotor-Router Aggregation on the Comb  

E-Print Network (OSTI)

We prove a shape theorem for rotor-router aggregation on the comb, for a specific initial rotor configuration and clockwise rotor sequence for all vertices. Furthermore, as an application of rotor-router walks, we describe the harmonic measure for the limiting shape of rotor-router aggregation, which is useful in the study of other growth models on the comb.

Huss, Wilfried

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Grading of construction aggregate through machine vision: Results and prospects  

Science Conference Proceedings (OSTI)

Traditionally, crushed aggregate to be used in construction is graded using sieves. We describe an innovative machine vision approach to such grading. Our operational scenario is one where a camera takes images from directly overhead of a layer of aggregate ... Keywords: Construction industry, Image database, Machine vision, Supervised and unsupervised classification, Wavelet transform

Fionn Murtagh; Xiaoyu Qiao; Paul Walsh; P. A. M. Basheer; Danny Crookes; Adrian Long

2005-12-01T23:59:59.000Z

382

Mine-to-Mill Optimization of Aggregate Production  

Science Conference Proceedings (OSTI)

Mine-to-Mill optimization is a total systems approach to the reduction of energy and cost in mining and mineral processing operations. Developed at the Julius Krutschnitt Mineral Research Centre (JKMRC) in Queensland, Australia, the Mine-to-Mill approach attempts to minimize energy consumption through the optimization of all steps in the size reduction process. The approach involves sampling and modeling of blasting and processing, followed by computer simulation to optimize the operation and develop alternatives. The most promising alternatives are implemented, and sampling is conducted to quantify energy savings. In the current project, the primary objective is to adapt the JKMRC Mine-to-Mill technology to the aggregates industry. The second phase of this project is being carried out at the Pittsboro Quarry located south of Chapel Hill, North Carolina. This quarry is owned by 3M Corporation and operated by Luck Stone. Based on lessons learned from the first phase work, long-term monitoring ({approx} three months) of all quarry operations is being carried out to minimize the impact of geological changes during the mining process. To date, the blasting and processing operations have been audited and modeled, the long-term monitoring of current Luck Stone practice has been completed, and a modified blasting approach has been implemented based on the results of simulations using JKSimBlast and JKSimPlant. The modified blasting approach is expected to increase the primary throughput by 15% and the secondary throughput by approximately 6%, with an overall specific energy reduction of around 1%. Long-term monitoring is currently underway to evaluate the impact the modified blasting approach. This report summarizes the current status of work at the Pittsboro Quarry.

Greg Adel; Toni Kojovic; Darren Thornton

2006-06-01T23:59:59.000Z

383

EA-1861: Final Environmental Assessment | Department of Energy  

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

Final Environmental Assessment Final Environmental Assessment EA-1861: Final Environmental Assessment Frito-Lay Biomass Boiler Project, Beloit, Wisconsin The U.S. Department of Energy (DOE) is proposing to authorize the expenditure of Federal grant funding to design, permit, and construct a biomass boilerhouse at the Frito-Lay North America (Frito-Lay) plant in Beloit, Wisconsin. DOE awarded the grant under the State Energy Program, but has not yet authorized the expenditure of grant funds on this proposed project. DOE prepared this EA to evaluate the potential environmental consequences of DOE's Proposed Action, which is to authorize the expenditure of Federal funding for Frito-Lay's proposed boilerhouse. DOE's Proposed Action would authorize up to $5.5 million in grant expenditures. The total cost of Frito-Lay's proposed project would be

384

Evolution of the U.S. Energy Service Company Industry: Market Size and  

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

Report Report LBNL Report Number LBNL-5447E Year of Publication 2012 Authors Larsen, Peter H., Charles A. Goldman, and Andrew Satchwell Date Published 2012 Abstract The U.S. energy service company (ESCO) industry is an example of a private sector business model where energy savings are delivered to customers primarily through the use of performance-based contracts. This study was conceived as a snapshot of the ESCO industry prior to the economic slowdown and the introduction of federal stimulus funding mandated by enactment of the American Recovery and Reinvestment Act of 2009 (ARRA). This study utilizes two parallel analytic approaches to characterize ESCO industry and market trends in the U.S.: (1) a "top-down" approach involving a survey of individual ESCOs to estimate aggregate industry activity and (2) a "bottom-up" analysis of a database of ~3,265 projects (representing over $8B in project investment) that reports market trends including installed EE retrofit strategies, project installation costs and savings, project payback times, and benefit-cost ratios over time. Despite the onset of an economic recession, the U.S. ESCO industry managed to grow at about 7% per year between 2006 and 2008. ESCO industry revenues are relatively small compared to total U.S. energy expenditures (about $4.1 billion in 2008), but ESCOs anticipated accelerated growth through 2011 (25% per year).

385

USCG Energy Program Resource Management, Fuel Logistics, and Facility Energy  

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

Energy Program Energy Program Resource Management, Fuel Logistics, and Facility Energy Presented by Daniel Gore USCG Energy Program Manager Office of Resource Management 1 1 2 Presentation Contents * Overview CG Energy Program * Highlights * Interesting Projects for Utilities * Alternatively Financed Projects Discussion 2 3 Overview 3 USCG Energy Program Growth * CG represents 80% of DHS energy consumption * Obligations up 210% from FY 2000 * Energy = 25% of O&M budget 4 4 Energy Program Dynamics Increasing Expenditures Increasing Politics & Mandates Increasing Scrutiny & Reporting Procurement & Credit Card Transformations Accounting System Improvements Organizational Strategic Transformations 5 5 What is CG Energy Management? * Policies impacting $306M annual obligations

386

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

U.S. Energy Information Administration (EIA)

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

387

Energy Information Administration (EIA)- Commercial Buildings Energy  

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

9 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous 9 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. Complete sets of RSE tables (What is an RSE?) are also available in PDF format 1999 Summary Tables for all principal building activities Summary Tables For All Principal Building Activities Number of Buildings (thousand) Floorspace (million square feet) Square Feet per Building (thousand) Median Age of Building (years)

388

Role of Standard Demand Response Signals for Advanced Automated Aggregation  

Science Conference Proceedings (OSTI)

Emerging standards such as OpenADR enable Demand Response (DR) Resources to interact directly with Utilities and Independent System Operators to allow their facility automation equipment to respond to a variety of DR signals ranging from day ahead to real time ancillary services. In addition, there are Aggregators in todays markets who are capable of bringing together collections of aggregated DR assets and selling them to the grid as a single resource. However, in most cases these aggregated resources are not automated and when they are, they typically use proprietary technologies. There is a need for a framework for dealing with aggregated resources that supports the following requirements: Allows demand-side resources to participate in multiple DR markets ranging from wholesale ancillary services to retail tariffs without being completely committed to a single entity like an Aggregator; Allow aggregated groups of demand-side resources to be formed in an ad hoc fashion to address specific grid-side issues and support the optimization of the collective response of an aggregated group along a number of different dimensions. This is important in order to taylor the aggregated performance envelope to the needs to of the grid; Allow aggregated groups to be formed in a hierarchical fashion so that each group can participate in variety of markets from wholesale ancillary services to distribution level retail tariffs. This paper explores the issues of aggregated groups of DR resources as described above especially within the context of emerging smart grid standards and the role they will play in both the management and interaction of various grid-side entities with those resources.

Lawrence Berkeley National Laboratory; Kiliccote, Sila

2011-11-18T23:59:59.000Z

389

Performance-based approach to evaluate alkali-silica reaction potential of aggregate and concrete using dilatometer method  

E-Print Network (OSTI)

The undesirable expansion of concrete because of a reaction between alkalis and certain type of reactive siliceous aggregates, known as alkali-silica reactivity (ASR), continues to be a major problem across the entire world. The renewed interest to minimize distress resulting from ASR has emphasized the need to develop predictable modeling of concrete ASR behavior under field conditions. Current test methods are either incapable or need long testing periods in which to only offer rather limited predictive estimates of ASR behavior in a narrow and impractical band of field conditions. Therefore, an attempt has been made to formulate a robust performance approach based upon basic properties of aggregate and concrete ASR materials derived from dilatometry and a kinetic-based mathematical expressions for ASR behavior. Because ASR is largely an alkali as well as a thermally activated process, the use of rate theory (an Arrhenius relationship between temperature and the alkali solution concentration) on the dilatometer time-expansion relationship, provides a fundamental aggregate ASR material property known as activation energy. Activation energy is an indicator of aggregate reactivity which is a function of alkalinity, particle size, crystallinity, calcium concentration, and others. The studied concrete ASR material properties represent a combined effects of mixture related properties (e.g., water-cementitious ratio, porosity, presence of supplementary cementitious materials, etc.) and maturity. Therefore, the proposed performance-based approach provides a direct accountability for a variety of factors that affect ASR, such as aggregate reactivity (activation energy), temperature, moisture, calcium concentration, solution alkalinity, and water-cementitious material ratio. Based on the experimental results, the following conclusion can be drawn concerning the performance-based approach to evaluate ASR potential of aggregate and concrete using dilatometer method; (i) the concept of activation energy can be used to represent the reactivity of aggregate subjected to ASR, (ii) the activation energy depends on the reactivity of aggregate and phenomenological alkalinity of test solution, and (iii) The proposed performance-based model provides a means to predict ASR expansion development in concrete.

Shon, Chang Seon

2008-05-01T23:59:59.000Z

390

Localized Aggregation of Diverse Energy Sources for Rural Electrification  

E-Print Network (OSTI)

of state regulation, beginning with the establishment of public service commissions in Georgia, New YorkLBNL-59544 Microgrids in the Evolving Electricity Generation and Delivery Infrastructure Chris. Reference herein to any specific commercial product, process, or service by its trade name, trademark

391

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

0 2005 Average Energy Expenditures per Household Member and per Square Foot, by Weatherization Eligibility (2010) Members Hhold Hhold Total U.S. Households 780 2.6 0.86 Federally...

392

State Energy Severance Taxes, 1985-1993  

Reports and Publications (EIA)

Analyzes changes in aggregate and State level energy severance taxes for 1985 through 1993. Data are presented for crude oil, natural gas, and coal

Bruce Bawks

1995-09-01T23:59:59.000Z

393

Prediction and correlation of accessible area of large multiparticle aggregates  

SciTech Connect

Aggregates (composed of large numbers of primary particles) are produced in many engineering environments. One convenient characterization is the fractal dimension, the exponent describing how the number of primary particles in each aggregate scales with radial distance from its center of mass. The authors describe a finite-analytic pseudo-continuum prediction of the normalized accessible surface area of an isothermal quasi-spherical fractal aggregate containing N ([much gt]1) primary particles, on the surfaces of which a first-order chemical process occurs. Results are displayed for specific fractal dimensions (2.5, 2.18, and 1.8) frequently observed in aggregating systems. An effective Thiele modulus is used to develop an efficient and accurate scheme for predicting/correlating the effectiveness factor for an aggregate containing N primary particles in terms of aggregate fractal dimension, reaction probability, and Knudsen number. The methods now allow calculations of the accessible surface area of populations of aggregates, provided pdf--(N, D[sub f], ...)--is known for the populations of interest.

Rosner, D.E.; Tandon, P. (Yale Univ., New Haven, CT (United States). Dept. of Chemical Engineering)

1994-07-01T23:59:59.000Z

394

Commercial Demonstration of the Manufactured Aggregate Processing...  

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

8 Power Plant Improvement Initiative (PPII) contacts Brad tomer Acting Director Office of Major Demonstrations National Energy Technology Laboratory 3610 Collins Ferry Road P.O....

395

Trade Study on Aggregation of Multiple 10-KW Solid Ozide Fuel Cell Power Modules  

DOE Green Energy (OSTI)

According to the Solid State Energy Conversion Alliance (SECA) program guidelines, solid oxide fuel cells (SOFC) will be produced in the form of 3-10 kW modules for residential use. In addition to residential use, these modules can also be used in apartment buildings, hospitals, etc., where a higher power rating would be required. For example, a hospital might require a 250 kW power generating capacity. To provide this power using the SECA SOFC modules, 25 of the 10 kW modules would be required. These modules can be aggregated in different architectures to yield the necessary power. This report will show different approaches for aggregating numerous SOFC modules and will evaluate and compare each one with respect to cost, control complexity, ease of modularity, and fault tolerance.

Ozpineci, B.

2004-12-03T23:59:59.000Z

396

U.S. States - Rankings - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Rankings Rankings Additional State Rankings Consumption Total Energy per Capita Prices Natural Gas Electricity Environment Carbon Dioxide Emissions Expenditures Total Energy per Capita Production Total Energy Crude Oil Natural Gas Coal Electricity More State Ranking Tables › Notes & Sources Consumption Total Energy per Capita: EIA, State Energy Data System, Total Consumption Per Capita Expenditures Total Energy per Capita: EIA, State Energy Data System, Total Expenditures Per Capita Production Total Energy: EIA, State Energy Data System, Total Energy Production Crude Oil: EIA, Petroleum Supply Annual, Crude Oil Production Natural Gas: EIA, Natural Gas Annual, Natural Gas Gross Withdrawals and Production Coal: EIA, Annual Coal Report, Coal Production and Number of Mines by State

397

Patterns and trends: New York State energy profiles, 1983--1997  

Science Conference Proceedings (OSTI)

Section 1 presents a comparison of energy consumption, selected energy prices, source of petroleum products, and other factors influencing energy demand and expenditures for the US and NYS. Section 2 provides historic data for primary and net energy consumption by fuel type and sector (residential, commercial, industrial, and transportation). Section 3 presents retail level energy price data. Retail energy prices are provided by fuel type for each sector in nominal dollar costs per physical unit and per million Btu. Section 4 presents the estimated expenditure on net energy consumption by sector and fuel type in nominal dollars and in 1997 constant dollars (excluding inflation). Estimated costs were derived by multiplying consumption quantities by their respective prices. Section 5 details sources of selected New York State energy supplies. Section 6 provides several appendices, such as tables on household end-use energy consumption and expenditures, gasoline consumption by country, degree-day, conversion factors and a glossary of energy terms.

NONE

1998-12-01T23:59:59.000Z

398

Energy Expenditure and Water Flux of Ruppell's Foxes in Saudi Arabia  

E-Print Network (OSTI)

), sometimes in excess of 50 C, intense solar radiation, desiccating winds, lack of surface water for drinking

Williams, Jos. B.

399

Effects of parasites on host energy expenditure: the resting metabolic rate stalemate  

E-Print Network (OSTI)

of feeding immature Karoo paralysis ticks Ixodes rubicundus (Acari: Ixodidae) on the metabolic rate Thomas and Schwann, 1906) Karoo paralysis tick (Ixodes rubicundus) 6 6 ­0.88 0.37 ­17.98 Kristan

400

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

1972. 5,415-26: 13,198: 7,552: 1,682: 2,834: 35,346: 3,458: ... 1 Prices are not adjusted for inflation. ... 8 Asphalt and road oil, aviation gasoline, kerosene, ...

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Table 3.6 Consumer Expenditure Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil ... storage, imports and exports, production, prices, sales. Electricity. Sales, revenue and prices ... 1972: 6,223: 4,623: 13,034 ...

402

Table 2.5 Household Energy Consumption and Expenditures by End ...  

U.S. Energy Information Administration (EIA)

Appliances, 2 Electronics, and Lighting : Natural Gas: Elec-tricity 3: Fuel Oil 4: LPG 5: Total: Electricity 3: Natural Gas: Elec-tricity 3: Fuel Oil ...

403

Table 2.5 Household Energy Consumption and Expenditures by End Use ...  

U.S. Energy Information Administration (EIA)

Air Conditioning: Water Heating: Appliances, 2 Electronics, and Lighting : Natural Gas: Elec-tricity 3: Fuel Oil 4: LPG 5: Total: Electricity 3: Natural Gas: Elec ...

404

Table US15. Average Expenditures by Energy End Uses, 2005 Dollars ...  

U.S. Energy Information Administration (EIA)

Climate Zone 1 Less than 2,000 CDD and--Greater than 7,000 HDD..... 10.9 1,982 839 90 300 145 671 5,500 to 7,000 HDD ...

405

A model to assess the relative impact of policy in transportation energy expenditures  

Science Conference Proceedings (OSTI)

The research reported in this paper uses the 1977 and 1983 Nationwide Personal Transportation Study surveys (NPTS's) to estimate the cross-section and time responses of minority and majority households in terms of variations in vehicles held by the household, VMT per household vehicle, 1983 dollar income of the household, education and age of the household head, transit availability to the household, workers and nonworkers per household, and urban vs rural location.

Santini, D.J.; Vyas, A.D.

1987-01-01T23:59:59.000Z

406

Table 3.6 Consumer Expenditure Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

1 Prices are not adjusted for inflation. See "Nominal Dollars" in Glossary. 8 Wood and wood-derived fuels, and biomass waste; excludes fuel ethanol and biodiesel.

407

Table 1.6 State-Level Energy Consumption, Expenditure, and ...  

U.S. Energy Information Administration (EIA)

Idaho: 339.7: Wisconsin: 21,483: Arkansas: 4,128: Oregon: 18.89: 22: South Carolina: 1,661.6: Ohio: 332.3: Minnesota: 20,869: South Carolina: 4,034: ...

408

energy production | OpenEI  

Open Energy Info (EERE)

52 52 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278352 Varnish cache server energy production Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown

409

Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity  

E-Print Network (OSTI)

In this paper, we first identify semantic heterogeneities that, when not resolved, often cause serious data quality problems. We discuss the especially challenging problems of temporal and aggregational ontological ...

Zhu, Hongwei

410

Contextual def-use associations for object aggregation  

Science Conference Proceedings (OSTI)

This paper presents a novel formulation of definitions, uses, and def-use associations for objects in object-oriented programs by exploiting the relations that occur between classes and their instantiated objects due to aggregation. Contextual def-use ...

Amie L. Souter; Lori L. Pollock

2001-06-01T23:59:59.000Z

411

Influence of grain size, morphology and aggregation on galena dissolution.  

E-Print Network (OSTI)

??The acidic, non-oxidative dissolution of galena nanocrystals has been studied using both microscopic and wet-chemical methods. The effects of particle size, shape, aggregation state, and (more)

Liu, Juan

2009-01-01T23:59:59.000Z

412

The impact of bidding aggregation levels on truckload rates  

E-Print Network (OSTI)

The objective of this thesis was to determine if line-haul rates are impacted by bid type, and if aggregation of bidding lanes can reduce costs for both shippers and carriers. Using regression analysis, we developed a model ...

Collins, Julia M. (Julia Marie)

2010-01-01T23:59:59.000Z

413

Tangible interfaces for manipulating aggregates of digital information  

E-Print Network (OSTI)

This thesis develops new approaches for people to physically represent and interact with aggregates of digital information. These support the concept of Tangible User Interfaces (TUIs), a genre of human-computer interaction ...

Ullmer, Brygg Anders

2002-01-01T23:59:59.000Z

414

Automating data aggregation for collaborative filtering in Ruby on Rails  

E-Print Network (OSTI)

Collaborative filtering and information filtering are tried and proven methods of utilizing aggregated data about a website's users to provide catered content. Passive filters are one subset of such algorithms that utilize ...

Malconian, Daniel R

2008-01-01T23:59:59.000Z

415

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 District Heat Consumption District Heat Expenditures per Building (million Btu) per Square Foot...

416

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 All Buildings Using District Heat District Heat Consumption District Heat Expenditures Number of...

417

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Total Electricity Expenditures (million dollars) Electricity Expenditures (dollars) per kWh per Square Foot North- east Mid- west South West North- east Mid- west South West...

418

Infrared Extinction by Aggregates of SiC Particles  

E-Print Network (OSTI)

Particle shape and aggregation have a strong influence on the spectral profiles of infrared phonon bands of solid dust grains. In this paper, we use a discrete dipole approximation, a cluster-of-spheres code following the Gerardy-Ausloos approach and a T-matrix method for calculating IR extinction spectra of aggregates of spherical silicon carbide (SiC) particles. We compare the results obtained with the three different methods and discuss differences in the band profiles.

Anja C. Andersen; Harald Mutschke; Thomas Posch

2005-11-11T23:59:59.000Z

419

Zeolite with trimodal porosity by desilication of zeolite nanocrystals aggregate  

SciTech Connect

Zeolite with trimodal porosity can be synthesized by desilication of zeolite nanocrystal aggregate. In the desilication process, the originally existed intercrystalline mesopores of zeolite nanocrystal aggregate were enlarged into large mesopore, and the new small intracrystalline mesopore channel was created, thus the Zeolite with trimodal porosity was formed. The structure of resulted zeolite, both on aggregate and mesopore level can be fine tuned by the desilication degree. - Graphical abstract: The Si from the edges and boundary of nanocrystals was first removed resulted the surface roughness and enlarges of the originally existed intercrystalline mesopores. As the degree of alkali-treatment increasing, the Si species inside zeolite nanocrystals was also removed, leading to further enlarges the intercrystalline mesopores and the formation of small intracrystalline mesopores. In case the alkali-treatment is serve enough to completely dissolve the bridges between zeolite nanocrystals, zeolite nanocrystals were exfoliated from the aggregate. Highlights: Black-Right-Pointing-Pointer Zeolite with trimodal porosity by desilication of zeolite nanocrystals aggregate. Black-Right-Pointing-Pointer The original intercrystalline mesopores were enlarged into large mesopore. Black-Right-Pointing-Pointer The new intracrystalline mesopores were created as the inside Si extracted out. Black-Right-Pointing-Pointer The aggregate structure, crystallinity and acidity of parent zeolite remained. Black-Right-Pointing-Pointer Desilication is start on the edges then in the inner part of zeolite.

Wang Yuxin; Liu Kaituo [Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese academy of Sciences, 189 Songling road, Qingdao 266101 (China) [Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese academy of Sciences, 189 Songling road, Qingdao 266101 (China); Graduate School of the Chinese Academy of Sciences, Beijing 100049 (China); He Tao; Wu Jinhu [Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese academy of Sciences, 189 Songling road, Qingdao 266101 (China)] [Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese academy of Sciences, 189 Songling road, Qingdao 266101 (China); Fang Yunming, E-mail: fangym@qibebt.ac.cn [Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese academy of Sciences, 189 Songling road, Qingdao 266101 (China)

2012-10-15T23:59:59.000Z

420

Energy by State | Open Energy Information  

Open Energy Info (EERE)

Energy by State Energy by State Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy by State Agency/Company /Organization: Google Sector: Energy Focus Area: Economic Development Resource Type: Software/modeling tools User Interface: Website Website: www.google.com/publicdata/explore?ds=djha77o4u941j_ Country: United States Web Application Link: www.google.com/publicdata/explore?ds=djha77o4u941j_ Cost: Free Northern America Energy by State Screenshot References: Public Data Explorer[1] EIA[2] Logo: Energy by State Graph energy data by state using Google's Public Data Explorer. Overview A graphing tool that displays energy data by state, using data from the United States Energy Information Administration. Exploration Categories Energy consumption (Btu) Energy expenditures (current US$)

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Energy Spending and Vulnerable Households  

E-Print Network (OSTI)

offthanbefore.Inparticularlargehouseholdswithlow incomesseemtohavebeenadverselyaffectedbythenewtariffstructuressince theyhavecomparablylargeenergyexpenditure(Bennetetal.,2002). 5. VulnerableHouseholdsandEnergySpending The... tariffscanplayanimportantpartinthepublicdebate on eradicating fuel poverty and helping the vulnerable households. Smart metering can provide consumers with information on the actual energy consumptionandmight lead to...

Jamasb, Tooraj; Meier, Helena

2011-01-26T23:59:59.000Z

422

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C2A. Total Energy Expenditures by Major Fuel for All Buildings, 2003 C2A. Total Energy Expenditures by Major Fuel for All Buildings, 2003 All Buildings Total Energy Expenditures (million dollars) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings ................................ 4,859 71,658 107,897 82,783 16,010 1,826 7,279 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 13,083 10,547 2,227 292 Q 5,001 to 10,000 .............................. 948 7,033 10,443 8,199 1,830 307 Q 10,001 to 25,000 ............................ 810 12,659 15,689 12,172 2,897 238 Q 25,001 to 50,000 ............................ 261 9,382 11,898 9,179 2,054 134 Q 50,001 to 100,000 .......................... 147 10,291 15,171 11,694 2,140 229 Q

423

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Total Energy Expenditures by Major Fuel for Non-Mall Buildings, 2003 . Total Energy Expenditures by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Expenditures (million dollars) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings* ............................... 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 .............................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................ 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................ 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 .......................... 129 9,057 11,897 8,717 1,868 203 Q

424

The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms  

Science Conference Proceedings (OSTI)

This paper provides evidence on the mechanisms influencing the patent output of a sample of small and large, entrepreneurial and established biotechnology firms from the input of indirect knowledge acquired from capital expenditures and direct ... Keywords: Biotechnology, Capital expenditure, L25, L65, O34, Patents, Poisson models, R&D

Roberta Piergiovanni; Enrico Santarelli

2013-02-01T23:59:59.000Z

425

Total Energy - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Superseded -- see MER for key annual tables Superseded -- see MER for key annual tables Annual Energy Review archives for data year: 2011 2010 2009 2008 all archives Go CONTENT CHANGES + EXPAND ALL Changes in Annual Energy Review 2011 Annual Energy Review 2011 Release: September 27, 2012 1. Energy Consumption, Expenditures, and Emissions Indicators Estimates (Table 1.5) has been modified to include columns for Gross Output and Energy Expenditures as Share of Gross Output and remove Greenhouse Gas Emissions per Real Dollar of Gross Domestic Product. 2. Sales of Fossil Fuels Produced on Federal and American Indian Lands (Table 1.14) was previously titled "Fossil Fuel Production on Federally Administered Lands." It has been redesigned and now provides data on sales of fossil fuels from Federal and American Indian lands for fiscal years 2003 through 2011.

426

Advancing Energy Systems through Integration  

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

Advancing Energy Systems Advancing Energy Systems through Integration Presented in partnership with the United States Department of Energy November 20, 2012 Webinar Community Renewable Energy Success Stories: District Heating with Renewable Energy Saint Paul's Community Energy System * Underground network of pipes aggregate heating and cooling needs * Aggregated thermal loads allows application of technologies and fuels not feasible for individual buildings * Increases fuel flexibility, rate stability, and reliability Community Scale Heating and Cooling 4 ever-greenenergy.com Ever-Green Energy Integrated Energy System flexible & renewable fuel sources reliable and effective production & storage hot & chilled water loops maximize energy conservation & reliability

427

Energy Policy 34 (2006) 16451658 Technological learning and renewable energy costs: implications for  

E-Print Network (OSTI)

electricity cost estimates used in energy policy planning models. Sensitivities of the learning rates penetration rates range from highly optimistic judgments to historical trend extrapolation. One particular: Learning by doing; Renewable energy costs; Research expenditures 1. Introduction Changes in the electricity

Vermont, University of

428

Effect of Aggregate Specification in Heavy Concrete for Fusion Reactor Shield on Neutron Dose Evaluation  

E-Print Network (OSTI)

Effect of Aggregate Specification in Heavy Concrete for Fusion Reactor Shield on Neutron Dose Evaluation

Murata, I; Takahashi, A

2000-01-01T23:59:59.000Z

429

Nonlinear Dynamics in an OLG Growth Model with Young and Old Age Labour Supply: The Role of Public Health Expenditure  

Science Conference Proceedings (OSTI)

This study analyses the dynamics of a two-dimensional overlapping generations economy with young and old age labour supply. We show that the public provision of investments in health, which, in turn, affects the demand for material consumption of the ... Keywords: C62, C68, Chaos, I18, J22, Labour supply, O41, OLG model, Public health expenditure

Luca Gori; Mauro Sodini

2011-10-01T23:59:59.000Z

430

Phosphogypsum slag aggregate-based asphaltic concrete mixes  

Science Conference Proceedings (OSTI)

Phosphogypsum is a by-product from the production of phosphoric acid used in the fertilizer and chemical industries. Large production rates and problems associated with its stockpiling have led researchers to seek alternative uses for phosphogypsum, primarily as a construction material. One such use is the extraction of sulfur dioxide for the production of sulfuric acid, a process that also generates a by-product slag aggregate. This study investigated the feasibility of using this slag aggregate in asphaltic concrete binder course mixes. The physical properties of the slag aggregate, such as gradation, specific gravity, absorption, unit weight, and void content, were determined, as well as its durability and environmental characteristics. The Marshall mix design method was used to obtain the optimum asphalt content for this aggregate, while moisture susceptibility was examined using the boiling and modified Lottman tests. Indirect tensile, resilient modulus, and dynamic creep tests were performed on the mix to evaluate its performance potential. The results of the study indicate that phosphogypsum-based slag aggregate can be successfully employed in asphaltic concrete binder course mixtures.

Foxworthy, P.T. [Terracon Consultants, Inc., Lenexa, KS (United States); Nadimpalli, R.S.; Seals, R.K. [Louisiana State Univ., Baton Rouge, LA (United States)

1996-07-01T23:59:59.000Z

431

Energy Conservation and BP  

E-Print Network (OSTI)

The reduction of energy consumption in the BP Group has a high priority and substantial savings have been achieved from improvements in operational efficiency and as a result of capital expenditure on energy efficient equipment. In order to provide the right impetus a BP Energy Conservation Committee was established and the role of this Committee is described. In addition to an overall view of energy conservation activities this paper considers the importance and ways of providing the necessary staff motivation. Details are also given of a burner test rig installed at BP's Research Centre and a supervisory computer system which has been in operation for two years at one of BP's German refineries.

Partridge, R. W.

1982-01-01T23:59:59.000Z

432

Home Energy Rebate Program | Department of Energy  

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

Energy Rebate Program Energy Rebate Program Home Energy Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Other Maximum Rebate $10,000 for energy efficiency improvements (plus $500 for energy audit); $7,500 qualified new 5 Star Plus homes Program Info Funding Source Alaska Housing Finance Corporation State Alaska Program Type State Rebate Program Rebate Amount Varies, depending on energy efficiency improvements made Provider Alaska Housing Finance Corporation Under the Home Energy Rebate Program, homeowners who want to make their own energy efficiency improvements on their home can receive a rebate for some of their expenditures. The program requires a home energy rater to evaluate

433

NACP Site-Model and Aggregated Flux Data Published  

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

Site-Model and Aggregated Flux Data Published Site-Model and Aggregated Flux Data Published The ORNL DAAC is pleased to announce the release of a data set from the North American Carbon Program (NACP): NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format . Data set prepared by D.M. Ricciuto, K. Schaefer, P.E. Thornton, K. Davis, R.B. Cook, Shishi Liu, R. Anderson, M.A. Arain, I. Baker, J.M. Chen, M. Dietze, R. Grant, C. Izaurralde, A.K. Jain, A.W. King, C. Kucharik, Shuguang Liu, E. Lokupitiya, Y. Luo, C. Peng, B. Poulter, D. Price, W. Riley, A. Sahoo, H. Tian, C. Tonitto, and H. Verbeeck. This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24

434

PRODUCTION OF CONSTRUCTION AGGREGATES FROM FLUE GAS DESULFURIZATION SLUDGE  

Science Conference Proceedings (OSTI)

The three main conclusions of this report are: (1) The pilot plant successfully demonstrated the continuous, fully-integrated, long-term process operation, including the mixing, pelletizing, and curing steps for aggregate production. The curing vessel, which was designed for the pilot plant test, was operated in a mass flow mode and performed well during pilot plant operation. (2) The pilot plant test demonstrated process flexibility. The same equipment was used to produce lightweight, medium-weight, and road aggregates. The only change was the mix formulation. Aggregates were produced from a variety of mix designs and from FGD sludge with solids concentrations between 45.0% and 56.7% and moisture contents between 55.0% and 43.3%. (3) The pilot plant provided operating data and experience to design and cost a commercial plant, which was not part of the cooperative agreement.

M.M. Wu; D.C. McCoy; R.O. Scandrol; M.L. Fenger; J.A. Withum; R.M. Statnick

2000-05-01T23:59:59.000Z

435

Alternative Energy Product Manufacturers Tax Credit | Department of Energy  

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

Product Manufacturers Tax Credit Product Manufacturers Tax Credit Alternative Energy Product Manufacturers Tax Credit < Back Eligibility Commercial Industrial Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Solar Wind Maximum Rebate 5% of taxpayer's qualified expenditures Program Info Start Date 7/1/2006 State New Mexico Program Type Industry Recruitment/Support Rebate Amount Determined by New Mexico Department of Taxation and Revenue Provider New Mexico Energy, Minerals and Natural Resources Department The Alternative Energy Product Manufacturers tax credit may be claimed for manufacturing alternative energy products and components, including renewable energy systems, fuel cell systems, and electric and hybrid-electric vehicles. Alternative energy components include parts,

436

Effects of internal mixing and aggregate morphology on optical properties  

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

Effects of internal mixing and aggregate morphology on optical properties Effects of internal mixing and aggregate morphology on optical properties of black carbon using a discrete dipole approximation model Title Effects of internal mixing and aggregate morphology on optical properties of black carbon using a discrete dipole approximation model Publication Type Journal Article Year of Publication 2013 Authors Scarnato, B., S. Vahidinia, D. T. Richard, and Thomas W. Kirchstetter Journal Atmospheric Chemistry and Physics Volume 12 Pagination 26401-26434 Abstract According to recent studies, internal mixing of black carbon (BC) with other aerosol materials in the atmosphere alters its aggregate shape, absorption of solar radiation, and radiative forcing. These mixing state effects are not yet fully understood. In this study, we characterize the morphology and mixing state of bare BC and BC internally mixed with sodium chloride (NaCl) using electron microscopy and examine the sensitivity of optical properties to BC mixing state and aggregate morphology using a discrete dipole approximation model (DDSCAT). DDSCAT predicts a higher mass absorption coefficient, lower single scattering albedo (SSA), and higher absorption Angstrom exponent (AAE) for bare BC aggregates that are lacy rather than compact. Predicted values of SSA at 550 nm range between 0.18 and 0.27 for lacy and compact aggregates, respectively, in agreement with reported experimental values of 0.25 ± 0.05. The variation in absorption with wavelength does not adhere precisely to a power law relationship over the 200 to 1000 nm range. Consequently, AAE values depend on the wavelength region over which they are computed. In the 300 to 550 nm range, AAE values ranged in this study from 0.70 for compact to 0.95 for lacy aggregates. The SSA of BC internally mixed with NaCl (100-300 nm in radius) is higher than for bare BC and increases with the embedding in the NaCl. Internally mixed BC SSA values decrease in the 200-400 nm wavelength range, a feature also common to the optical properties of dust and organics. Linear polarization features are also predicted in DDSCAT and are dependent on particle morphology. The bare BC (with a radius of 80 nm) presents in the linear polarization a bell shape feature, which is a characteristic of the Rayleigh regime (for particles smaller than the wavelength of incident radiation). When BC is internally mixed with NaCl (100-300 nm in radius), strong depolarization features for near-VIS incident radiation are evident, such as a decrease in the intensity and multiple modes at different angles corresponding to different mixing states.

437

Page not found | Department of Energy  

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

21 - 9630 of 31,917 results. 21 - 9630 of 31,917 results. Download EIS-0343: Draft Environmental Impact Statement COB Energy Facility http://energy.gov/nepa/downloads/eis-0343-draft-environmental-impact-statement Download EIS-0228: Record of Decision Dual Axis Radiographic Hydrodynamic Test Facility http://energy.gov/nepa/downloads/eis-0228-record-decision Download EIS-0183: Record of Decision Dual Axis Radiographic Hydrodynamic Test Facility http://energy.gov/nepa/downloads/eis-0183-record-decision-3 Download EA-1696: Final Environmental Assessment Pantex Renewable Energy Project http://energy.gov/nepa/downloads/ea-1696-final-environmental-assessment Download Consortium Template (Expenditure-Based) http://energy.gov/management/downloads/consortium-template-expenditure-based Download Keystone: Proposed Penalty (2013-CE-2601)

438

Green Mountain Energy Renewable Rewards Program (Texas) | Open...  

Open Energy Info (EERE)

is offered by a retail electric provider (REP); available to customers throughout the state where Green Mountain Energy offers retail electric service. Meter Aggregation Not...

439

Support in statistical analysis and data processing to the Office of Energy Markets and End Use, Energy Information Administration (EIA), at the Dept. of Energy. Final report  

SciTech Connect

Energy consumption and expenditure data were tabulated by various demographic characteristics on regional and divisional levels. The amount of energy used at the household level for space heating and other uses were determined from the monthly utility data on natural gas and electricity usage. Joint consumption of home fuels and motor fuels was tabulated.

Not Available

1984-02-28T23:59:59.000Z

440

EIA Energy Efficiency-Iron and Steel Energy Intensity, 1998-2002  

Gasoline and Diesel Fuel Update (EIA)

Iron and Steel Manufacturing Energy Intensities, 1998, 2002, and 2006 Below are data for iron and steel industry from the 1998, 2002, and 2006 Manufacturing Energy Consumption Survey (MECS). The tables provide estimates for energy consumed for all purposes, end uses of fuel consumption, offsite-produced fuel consumption, expenditures for purchased energy, as well as energy intensities per value of production and per ton of steel. Energy Consumption 1998, 2002, and 2006 Table 1. Consumption of Energy for All Purposes (First Use) html Table 1 excel table 1. pdf table 1. Table 2. End Uses of Fuel Consumption html table 2. excel table 2. pdf table 2. Table 3. Offsite-Produced Fuel Consumption html table 3. excel table 3. pdf table 3. Table 4. Expenditures for Purchased Energy

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Buildings Energy Data Book  

Buildings Energy Data Book (EERE)

3.1 Commercial Sector Energy Consumption 3.1 Commercial Sector Energy Consumption 3.2 Commercial Sector Characteristics 3.3 Commercial Sector Expenditures 3.4 Commercial Environmental Emissions 3.5 Commercial Builders and Construction 3.6 Office Building Markets and Companies 3.7 Retail Markets and Companies 3.8 Hospitals and Medical Facilities 3.9 Educational Facilities 3.10 Hotels/Motels 4Federal Sector 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to the tables Chapter 3 focuses on energy use in the commercial sector. Section 3.1 covers primary and site energy consumption in commercial buildings, as well as the delivered energy intensities of various building types and end uses. Section 3.2 provides data on various characteristics of the commercial sector, including floorspace, building types, ownership, and lifetimes. Section 3.3 provides data on commercial building expenditures, including energy prices. Section 3.4 covers environmental emissions from the commercial sector. Section 3.5 briefly addresses commercial building construction and retrofits. Sections 3.6, 3.7, 3.8, 3.9, and 3.10 provide details on select commercial buildings types, specifically office and retail space, medical facilities, educational facilities, and hotels and motels.

442

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . 99 Petroleum Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 Coal Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 Renewable Fuels Module . . . . . . . . . . .

443

Detecting Traffic Anomalies through aggregate analysis of packet header data  

E-Print Network (OSTI)

.Narasimha Reddy1 , and Marina Vannucci2 Department of 1 Electrical Engineering, 2 Statistics , Texas A a signal that can be analyzed through statistical techniques and compared to historical norms to detect (i.e., the rate of decrease) be- tween the flow numbers of neighboring specific bit-prefix aggregate

Reddy, Narasimha

444

Cultural consensus theory: aggregating continuous responses in a finite interval  

Science Conference Proceedings (OSTI)

Cultural consensus theory (CCT) consists of cognitive models for aggregating responses of informants to test items about some domain of their shared cultural knowledge. This paper develops a CCT model for items requiring bounded numerical ... Keywords: cognitive models, cross-cultural study, cultural Consensus Theory

William H. Batchelder; Alex Strashny; A. Kimball Romney

2010-03-01T23:59:59.000Z

445

SeDyA: secure dynamic aggregation in VANETs  

Science Conference Proceedings (OSTI)

In vehicular ad-hoc networks (VANETs), a use case for mobile ad-hoc networks (MANETs), the ultimate goal is to let vehicles communicate using wireless message exchange to provide safety, traffic efficiency, and entertainment applications. Especially ... Keywords: multi-hop communication, secure aggregation, vanets

Rens Wouter van der Heijden; Stefan Dietzel; Frank Kargl

2013-04-01T23:59:59.000Z

446

Automatic morphological categorisation of carbon black nano-aggregates  

Science Conference Proceedings (OSTI)

Nano-technology is the study of matter behaviour on atomic and molecular scale (i.e. nano-scale). In particular, carbon black is a nano-material generally used for the reinforcement of rubber compounds. Nevertheless, the exact reason behind its success ... Keywords: aggregate morphology classifying, carbon black, image processing, machine-learning

Juan Lpez-de-Uralde; Iraide Ruiz; Igor Santos; Agustn Zubillaga; Pablo G. Bringas; Ana Okariz; Teresa Guraya

2010-08-01T23:59:59.000Z

447

Effects of internal mixing and aggregate morphology on optical properties  

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

3 3 Authors Scarnato, Barbara V., Sanaz Vahidinia, D. T. Richard, and Thomas W. Kirchstetter Journal Atmospheric Chemistry and Physics Volume 13 Start Page 5089 Issue 10 Pagination 5089 - 5101 Date Published 05/2013 Abstract According to recent studies, internal mixing of black carbon (BC) with other aerosol materials in the atmosphere alters its aggregate shape, absorption of solar radiation, and radiative forcing. These mixing state effects are not yet fully understood. In this study, we characterize the morphology and mixing state of bare BC and BC internally mixed with sodium chloride (NaCl) using electron microscopy and examine the sensitivity of optical properties to BC mixing state and aggregate morphology using a discrete dipole approximation model (DDSCAT). DDSCAT is flexible in simulating the geometry and refractive index of particle aggregates. DDSCAT predicts a higher mass absorption coefficient (MAC), lower single scattering albedo (SSA), and higher absorption Angstrom exponent (AAE) for bare BC aggregates that are lacy rather than compact. Predicted values of SSA at 550 nm range between 0.16 and 0.27 for lacy and compact aggregates, respectively, in agreement with reported experimental values of 0.25 ± 0.05. The variation in absorption with wavelength does not adhere precisely to a power law relationship over the 200 to 1000 nm range. Consequently, AAE values depend on the wavelength region over which they are computed. The MAC of BC (averaged over the 200-1000 nm range) is amplified when internally mixed with NaCl (100-300 nm in radius) by factors ranging from 1.0 for lacy BC aggregates partially immersed in NaCl to 2.2 for compact BC aggregates fully immersed in NaCl. The SSA of BC internally mixed with NaCl is higher than for bare BC and increases with the embedding in the NaCl. Internally mixed BC SSA values decrease in the 200-400 nm wavelength range, a feature also common to the optical properties of dust and organics. Linear polarization features are also predicted in DDSCAT and are dependent on particle size and morphology.

448

Page not found | Department of Energy  

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

71 - 17180 of 28,560 results. 71 - 17180 of 28,560 results. Rebate Energy Efficient Residential Construction Tax Credit (Corporate) '''''Note: After a 2 year moratorium on all state tax credits, this credit may be claimed for tax year 2012 and subsequent tax years, for eligible expenditures on or after July 1, 2012.''''' http://energy.gov/savings/energy-efficient-residential-construction-tax-credit-corporate Rebate Energy Efficient Residential Construction Tax Credit (Personal) '''''Note: After a 2 year moratorium on all state tax credits, this credit may be claimed for tax year 2012 and subsequent tax years, for eligible expenditures on or after July 1, 2012.''''' http://energy.gov/savings/energy-efficient-residential-construction-tax-credit-personal Rebate Interconnection Guidelines

449

Environmental Energy Technologies Division News  

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

Berkeley Lab Finds Steady Growth Among U.S. ESCOs, Despite Recession Berkeley Lab Finds Steady Growth Among U.S. ESCOs, Despite Recession Aggregate revenue growth rates for U.S. energy service companies (ESCOs) significantly outpaced U.S. gross domestic product growth from 2009 to 2011 and could more than double in size by 2020 according to a new report by Lawrence Berkeley National Laboratory (Berkeley Lab) researchers. Line graph illustrating aggregate insdustry revenues. The long-term projections are: $15.3 billion (High), $13.3 billion (Medium) $10.6 billion (Low) Aggregate industry revenues with long-term projections: 1990-2020 Aggregate industry revenues with long-term projections: 1990-2020 Energy service companies primarily use performance-based contracts to provide energy efficiency, renewable, and other energy-related services

450

Patterns of rural household energy use: a study in the White Nile province - the Sudan  

Science Conference Proceedings (OSTI)

The study investigates rural household domestic energy consumption patterns in a semiarid area of the Sudan. It describes the socioeconomic and evironmental context of energy use, provides an estimation of local woody biomass production and evaluates ecological impacts of increased energy demand on the local resource base. It is based on findings derived from field surveys, a systematic questionnaire and participant observations. Findings indicate that households procure traditional fuels by self-collection and purchases. Household members spent on average 20% of their working time gathering fuels. Generally per caput and total annual expenditure and consumption of domestic fuels are determined by household size, physical availability, storage, prices, income, conservation, substitution and competition among fuel resource uses. Households spend on average 16% of their annual income on traditional fuels. Aggregation of fuels on heat equivalent basis and calculation of their contribution shows that on average firewood provides 63%, charcoal 20.7%, dung 10.4%, crop residues 3.4% and kerosene/diesel 2.5% of the total demand for domestic purposes. Estimated total household woodfuel demand exceeds woody biomass available from the local forests. This demand is presently satisfied by a net depletion of the local forests and purchases from other areas. Degradation of the resource base is further exacerbated by development of irrigation along the White Nile River, increasing livestock numbers (overgrazing) and forest clearance for rainfed cultivation. The most promising relevant and appropriate strategies to alleviate rural household domestic energy problems include: conservation of the existing forest, augmentation through village woodlots and community forestry programmes and improvements in end-use (stoves) and conversion (wood to charcoal) technologies.

Abdu, A.S.E.

1985-01-01T23:59:59.000Z

451

Biochemical, Cell Biological, and Genetic Assays to Analyze Amyloid and Prion Aggregation in Yeast  

E-Print Network (OSTI)

Protein aggregates are associated with a variety of debilitating human diseases, but they can have functional roles as well. Both pathological and nonpathological protein aggregates display tremendous diversity, with ...

Alberti, Simon

452

Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response  

E-Print Network (OSTI)

SiteControls21 AggregatedLoadProfileofthe Teston24 RetailC3LoadProfilewithItsC6 Figure 5. Aggregated Load Profile of the Test on October

Kiliccote, Sila

2011-01-01T23:59:59.000Z

453

Impact of tillage and crop rotation on aggregate-associated carbon in two oxisols  

E-Print Network (OSTI)

Oades. 1980. The effect of crop rotation on aggregation in aand J.H. Long. 1990. Crop rotation and tillage effects onImpact of Tillage and Crop Rotation on Aggregate-Associated

2005-01-01T23:59:59.000Z

454

Short-Term Energy and Winter Fuels Outlook October 2013  

Gasoline and Diesel Fuel Update (EIA)

and Winter Fuels Outlook October 2013 1 and Winter Fuels Outlook October 2013 1 October 2013 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights  EIA projects average U.S. household expenditures for natural gas and propane will increase by 13% and 9%, respectively, this winter heating season (October 1 through March 31) compared with last winter. Projected U.S. household expenditures are 2% higher for electricity and 2% lower for heating oil this winter. Although EIA expects average expenditures for households that heat with natural gas will be significantly higher than last winter, spending for gas heat will still be lower than the previous 5-year average (see EIA Short-Term Energy and Winter Fuels Outlook slideshow).  Brent crude oil spot prices fell from a recent peak of $117 per barrel in early September to

455

No pane, no gain: efficient evaluation of sliding-window aggregates over data streams  

E-Print Network (OSTI)

Window queries are proving essential to data-stream processing. In this paper, we present an approach for evaluating sliding-window aggregate queries that reduces both space and computation time for query execution. Our approach divides overlapping windows into disjoint panes, computes sub-aggregates over each pane, and rolls up the pane-aggregates to compute window-aggregates. Our experimental study shows that using panes has significant performance benefits. 1.

Jin Li; David Maier; Kristin Tufte; Vassilis Papadimos; Peter A. Tucker

2005-01-01T23:59:59.000Z

456

High-sensitive sensor of dopamine based on photoluminescence quenching of hierarchical CdS spherical aggregates  

Science Conference Proceedings (OSTI)

Hierarchical CdS spherical aggregates have been fabricated by an assembling strategy starting from nanoparticles, which opens a general way to obtain hierarchical spherical aggregates of different types of materials. The hierarchical CdS spherical aggregates ...

Binjie Sun, Changzheng Wang

2012-01-01T23:59:59.000Z

457

Analyzing the techniques that improve fault tolerance of aggregation trees in sensor networks  

Science Conference Proceedings (OSTI)

Sensor networks are finding significant applications in large scale distributed systems. One of the basic operations in sensor networks is in-network aggregation. Among the various approaches to in-network aggregation, such as gossip and tree, including ... Keywords: Aggregation, Fault tolerance, Modeling faults, Reliability, Sensor network

Laukik Chitnis; Alin Dobra; Sanjay Ranka

2009-12-01T23:59:59.000Z

458

Beyond size and search: building contextual mass in digital aggregations for scholarly use  

Science Conference Proceedings (OSTI)

At present there are no established collection development methods for building large-scale digital aggregations. However, to realize the potential of the collective base of digital content and advance scholarship, aggregations must do more than provide ... Keywords: collection evaluation, collection policy, collection-level metadata, digital aggregations, scholarly information use, subject access, subject analysis, thematic research collections

Carole L. Palmer; Oksana L. Zavalina; Katrina Fenlon

2010-10-01T23:59:59.000Z

459

Institutional Logics from the Aggregation of Organizational Networks: Operational Procedures for the Analysis of Counted Data  

Science Conference Proceedings (OSTI)

We address some problems of network aggregation that are central to organizational studies. We show that concepts of network equivalence (including generalizations and special cases of structural equivalence) are relevant to the modeling of the aggregation ... Keywords: aggregation, co-constitution of organizational identities and practices, loglinear models, organizational fields, structural equivalence

Ronald L. Breiger; John W. Mohr

2004-05-01T23:59:59.000Z

460

Environmental Impact Assessment of Artificial Aggregate Systems Based on Fuzzy Comprehensive Evaluation  

Science Conference Proceedings (OSTI)

Aggregates are food for construction industry and hydraulic and hydropower engineering, account for 80% of concrete. Now the number of artificial aggregate systems of being used and preparing to put into use is considerable, which calls for an efficient ... Keywords: Artificial Aggregate System, Environment Impact Assessment, Fuzzy Comprehensive evaluation

Qin Hongling; Meng Suimin; Zhou Xincong

2010-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "aggregate energy expenditures" 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

Organic thin film prehistory: looking towards solution phase aggregation |  

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

Organic thin film prehistory: looking towards solution phase aggregation Organic thin film prehistory: looking towards solution phase aggregation Wednesday, November 6, 2013 - 3:00pm SLAC, Redtail Hawk Conference Room 108A Christopher Tassone, SSRL Polymer bulk heterojunction (BHJ) solar cells have attracted significant attention in industry and academia because of their potential for achieving large-area, light-weight, and flexible photovoltaic devices through cost-effective solution deposition techniques. These devices consist of a blend of an absorbing polymer and an electron accepting fullerene, the molecular packing and phase segregation of which heavily influence power conversion efficiency by effecting important processes such as exciton splitting, charge transport, and recombination. Understanding and utilization of molecular interactions to predicatively control the

462

A General Relationship between Disorder, Aggregation, and Charge Transport  

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

A General Relationship between Disorder, Aggregation, and Charge Transport A General Relationship between Disorder, Aggregation, and Charge Transport in Conjugated Polymers Monday, September 23, 2013 The potential for combining low-cost manufacturing and mechanical robustness with engineering of specific opto-electronic properties has recently spurred great interest in semiconducting polymers. Consequently, devices based on organic semiconductors have reached significant milestones such as ~10% solar power conversion efficiencies as well as electron and hole mobilities exceeding 1 cm2/Vs. Conjugated polymer chains have many degrees of conformational freedom and interact weakly with each other, resulting in complex microstructures in the solid state. Understanding charge transport in such systems, which have both amorphous and ordered

463

PRODUCTION OF CONSTRUCTION AGGREGATES FROM FLUE GAS DESULFURIZATION SLUDGE  

SciTech Connect

Through a cooperative agreement with DOE, the Research and Development Department of CONSOL Inc. (CONSOL R and D) is teaming with SynAggs, Inc. and Duquesne Light to design, construct, and operate a 500 lb/h continuous pilot plant to produce road construction aggregate from a mixture of wet flue gas desulfurization (FGD) sludge, fly ash, and other components. The proposed project is divided into six tasks: (1) Project Management; (2) Mix Design Evaluation; (3) Process Design; (4) Construction; (5) Start-Up and Operation; and (6) Reporting. In this quarter, Tasks 1 and 2 were completed. A project management plan (Task 1) was issued to DOE on October 22, 1998 . The mix design evaluation (Task 2) with Duquesne Light Elrama Station FGD sludge and Allegheny Power Hatfields Ferry Station fly ash was completed. Eight semi-continuous bench-scale tests were conducted to examine the effects of mix formulation on aggregate properties. A suitable mix formulation was identified to produce aggregates that meet specifications of the American Association of State High Transport Officials (AASHTO) as Class A aggregate for use in highway construction. The mix formulation was used in designing the flow sheet of the pilot plant. The process design (Task 3) is approximately 80% completed. Equipment was evaluated to comply with design requirements. The design for the curing vessel was completed by an outside engineering firm. All major equipment items for the pilot plant, except the curing vessel, were ordered. Pilot plant construction (Task 4) was begun in October. The Hazardous Substance Plan was issued to DOE. The Allegheny County (PA) Heat Department determined that an air emission permit is not required for operation of the pilot plant.

1998-12-01T23:59:59.000Z

464

Aggregates: Waste and recycled materials; new rapid evaluation technology. Soils, geology, and foundations; materials and construction. Transportation research record  

Science Conference Proceedings (OSTI)

;Contents: Engineering Properties of Shredded Tires in Lightweight Fill Applications; Using Recovered Glass as Construction Aggregate Feedstock; Utilization of Phosphogypsum-Based Slag Aggregate in Portland Cement Concrete Mixtures; Waste Foundry Sand in Asphalt Concrete; Toward Automating Size-Gradation Analysis of Mineral Aggregate; Evaluation of Fine Aggregate Angularity Using National Aggregate Association Flow Test; Siliceous Content Determination of Sands Using Automatic Image Analysis; and Methodology for Improvement of Oxide Residue Models for Estimation of Aggregate Performance Using Stoichiometric Analysis.

Not Available

1994-01-01T23:59:59.000Z

465

Water adsorption on aggregates of spherical aerosol nano particles  

E-Print Network (OSTI)

A three dimensional integral equation is developed in order to compute water adsorption onto aggregates of spherical aerosol nano particles. The integral equation is derived from molecular density functional theory, with a weighted density approximation and a direct correlation function interpolation rule. Only required inputs are the direct correlation functions of the uniform fluid or gas at both high-density and low-density limits. The equation has been tested on argon adsorption onto a graphite planer substrate; the result corresponds well with previous simulation work. Adsorption of both noble gas and water onto a single spherical nano particle and aggregates of spherical nano particles has been computed with the developed equation. For the adsorption of a single spherical substrate, layer structure has been found, the adsorption shows a transition property when substrate size increases and when the substrate size is over 100?? the adsorption is nearly the same as that of a planer substrate. For adsorption of aggregates of spherical nano particles, not only much strong adsorption appears but also adsorption property changes with different configurations of spherical nano particles.

Nie, Chu

2005-08-01T23:59:59.000Z

466

Semantics and evaluation techniques for window aggregates in data streams  

E-Print Network (OSTI)

A windowed query operator breaks a data stream into possibly overlapping subsets of data and computes results over each. Many stream systems can evaluate window aggregate queries. However, current stream systems suffer from a lack of an explicit definition of window semantics. As a result, their implementations unnecessarily confuse window definition with physical stream properties. This confusion complicates the stream system, and even worse, can hurt performance both in terms of memory usage and execution time. To address this problem, we propose a framework for defining window semantics, which can be used to express almost all types of windows of which we are aware, and which is easily extensible to other types of windows that may occur in the future. Based on this definition, we explore a one-pass query evaluation strategy, the Window-ID (WID) approach, for various types of window aggregate queries. WID significantly reduces both required memory space and execution time for a large class of window definitions. In addition, WID can leverage punctuations to gracefully handle disorder. Our experimental study shows that WID has better execution-time performance than existing window aggregate query evaluation options that retain and reprocess tuples, and has better latency-accuracy tradeoff performance for disordered input streams compared to using a fixed delay for disorder handling. 1.

Jin Li; David Maier; Kristin Tufte; Vassilis Papadimos; Peter A. Tucker

2005-01-01T23:59:59.000Z

467

US military expenditures to protect the use of Persian Gulf oil for motor vehicles  

E-Print Network (OSTI)

national security. Energy Policy 20, 10891096. Hamilton,Delucchi, J.J. Murphy / Energy Policy 36 (2008) 22532264alternative fuels/engines. Energy Policy 32, 727. Parry,

Delucchi, Mark; Murphy, James

2008-01-01T23:59:59.000Z

468

Indian Energy News Archive | Department of Energy  

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

June 28, 2012 June 28, 2012 USDA Seeks Applications for Grants to Assist Rural Communities with Extremely High Energy Costs Applications are due July 30, 2012, for USDA Rural Development grants to assist communities where expenditures for home energy exceed 275% of the national average. June 25, 2012 EM Convenes Historic Meeting with Leaders of Tribal Nations DOE Office of Environmental Management (EM) made history by bringing together leaders of eight Tribal Nations to discuss progress in the nuclear cleanup and build partnerships to better shape the future of DOE sites. May 24, 2012 Alaska Native Tribes Receive Technical Assistance for Local Clean Energy Projects Energy Department and Denali Commission Announce Partnership to Strengthen Tribal Energy in Alaska March 21, 2012

469

Buildings Energy Data Book  

Buildings Energy Data Book (EERE)

1.1 Buildings Sector Energy Consumption 1.1 Buildings Sector Energy Consumption 1.2 Building Sector Expenditures 1.3 Value of Construction and Research 1.4 Environmental Data 1.5 Generic Fuel Quad and Comparison 1.6 Embodied Energy of Building Assemblies 2The Residential Sector 3Commercial Sector 4Federal Sector 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to the tables Chapter 1 provides an overview of energy use in the U.S. buildings sector, which includes single- and multi-family residences and commercial buildings. Commercial buildings include offices, stores, restaurants, warehouses, other buildings used for commercial purposes, and government buildings. Section 1.1 presents data on primary energy consumption, as well as energy consumption by end use. Section 1.2 focuses on energy and fuel expenditures in U.S. buildings. Section 1.3 provides estimates of construction spending, R&D, and construction industry employment. Section 1.4 covers emissions from energy use in buildings, construction waste, and other environmental impacts. Section 1.5 discusses key measures used throughout the Data Book, such as a quad, primary versus delivered energy, and carbon emissions. Section 1.6 provides estimates of embodied energy for various commercial building assemblies. The main points from this chapter are summarized below:

470

Energy  

Site Map; Printable Version; Share this resource. Send a link to Full Size Image - Energy Innovation Portalto someone by E-mail; Share Full Size Image - Energy ...

471

Production of manufactured aggregates from flue gas desulfurization by-products  

SciTech Connect

CONSOL R and D has developed a disk pelletization process to produce manufactured aggregates from the by-products of various technologies designed to reduce sulfur emissions produced from coal utilization. Aggregates have been produced from the by-products of the Coolside and LIMB sorbent injection, the fluidized-bed combustion (FBC), spray dryer absorption (SDA), and lime and limestone wet flue gas desulfurization (FGD) processes. The aggregates produced meet the general specifications for use as road aggregate in road construction and for use as lightweight aggregate in concrete masonry units. Small field demonstrations with 1200 lb to 5000 lb of manufactured aggregates were conducted using aggregates produced from FBC ash and lime wet FGD sludge in road construction and using aggregates made from SDA ash and lime wet FGD sludge to manufacture concrete blocks. The aggregates for this work were produced with a bench-scale (200--400 lb batch) unit. In 1999, CONSOL R and D constructed and operated a 500 lb/hr integrated, continuous pilot plant. A variety of aggregate products were produced from lime wet FGD sludge. The pilot plant test successfully demonstrated the continuous, integrated operation of the process. The pilot plant demonstration was a major step toward commercialization of manufactured aggregate production from FGD by-products. In this paper, progress made in the production of aggregates from dry FGD (Coolside, LIMB, SDA) and FBC by-products, and lime wet FGD sludge is discussed. The discussion covers bench-scale and pilot plant aggregate production and aggregate field demonstrations.

Wu, M.M.; McCoy, D.C.; Fenger, M.L.; Scandrol, R.O.; Winschel, R.A.; Withum, J.A.; Statnick, R.M.

1999-07-01T23:59:59.000Z

472

Imaging Chemical Aggregation of Ni/NiO Particles from Reduced NiO-YSZ  

SciTech Connect

Energy dispersive X-ray spectroscopy (EDS) mapping of nickel oxide yttria-stabilized zirconia (NiO-YSZ) was carried out after various hydrogen reducing and methane steam reforming conditions. Nickel aggregation was visualized after methane steam reforming by correlating Ni K{sub {alpha}} map with scanning transmission electron microscopy (STEM) images. From the reduced O K{sub {alpha}} intensities in the Ni K{sub {alpha}} dominated regions after methane steam reforming, NiO reduction in to Ni can be interpreted. From correlation between Zr K{sub {alpha}} and O K{sub {alpha}} maps, high stability of YSZ was also realized. Examples of NiO-YSZ overlapped particles are considered to discuss chemical imaging of a single particle.

Saraf, Laxmikant V.

2011-07-20T23:59:59.000Z

473

A new aggregation method for determining composite load characteristics  

SciTech Connect

A new aggregation method for determining load characteristics for representation in computer simulations is proposed. In support of the new method, a mathematical derivation is presented. Also, results are compared with models obtained by using the EPRI/University of Texas at Arlington method and field tests. The application of the proposed method is simpler than existing methods in that it does not require field tests or the use of curve fitting techniques. The procedure should be of primary interest to transmission system planners involved in load flow and dynamic stability simulations of power systems.

Rideiro, J.R.; Lange, F.J.

1982-08-01T23:59:59.000Z

474

Rotor-router aggregation on the layered square lattice  

E-Print Network (OSTI)

In rotor-router aggregation on the square lattice Z^2, particles starting at the origin perform deterministic analogues of random walks until reaching an unoccupied site. The limiting shape of the cluster of occupied sites is a disk. We consider a small change to the routing mechanism for sites on the x- and y-axes, resulting in a limiting shape which is a diamond instead of a disk. We show that for a certain choice of initial rotors, the occupied cluster grows as a perfect diamond.

Kager, Wouter

2010-01-01T23:59:59.000Z

475

Waste to Energy Time Activities  

E-Print Network (OSTI)

SEMINAR Waste to Energy Time Activities 9:30-9:40 Brief introduction of participants 9:40-10:10 Presentation of Dr. Kalogirou, "Waste to Energy: An Integral Part of Worldwide Sustainable Waste Management" 10. Sofia Bethanis, "Production of synthetic aggregates for use in structural concrete from waste to energy

Columbia University

476

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Steel Industry Analysis Brief Change Topic: Steel | Chemical Steel Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities Introduction The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers, railroads, automobiles, and appliances. Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago.1 The U.S. steel industry (including iron production) relies significantly on natural gas and coal coke and breeze for fuel, and is one of the largest

477

Energy Information Administration (EIA)- Manufacturing Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Chemical Industry Analysis Brief Change Topic: Steel | Chemical Chemical Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities | Fuel Switching Capacity Introduction The chemical industries are a cornerstone of the U.S. economy, converting raw materials such as oil, natural gas, air, water, metals, and minerals into thousands of various products. Chemicals are key materials for producing an extensive assortment of consumer goods. They are also crucial materials in creating many resources that are essential inputs to the numerous industries and sectors of the U.S. economy.1 The manufacturing sector is classified by the North American Industry Classification System (NAICS) of which the chemicals sub-sector is NAICS

478

EA-1852: Cloud County Community College Wind Energy Project, Cloud County, Kansas  

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

This EA evaluates the environmental impacts of a proposal to authorize the expenditure of federal funds by Cloud County Community College (CCCC) for a wind energy project. CCCC has installed three wind turbines and proposes to install a fourth turbine on their campus in Concordia, Kansas, for use in their wind energy training curriculum and to provide electricity for their campus.

479

The solar industries` FY 1998 appropriations recommendations for the US Department of Energy  

SciTech Connect

This article details the Solar Industry recommendations for solar energy expenditures by the US DOE. Major solar energy categories with specific monetary recommendations are presented in detailed tables: solar building technology research; photovoltaic systems; solar thermal electric and process heat; miscellaneous programs.

Barnett, A.; Sklar, S.

1997-06-01T23:59:59.000Z

480

Reduce Operating Costs with an EnergySmart School Project  

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

Operating Costs with an Operating Costs with an EnergySmart School Project Energy costs are a school district's second highest expenditure after personnel. Public schools currently spend more than $8 billion per year for energy. School ener- gy expenditures rose, on average, 20 percent per year between 2000 and 2002-and the costs continue to rise. Natural gas prices alone increased 14 percent annually between 2003 and 2006. Improving a school's energy efficiency doesn't have to cost millions. In fact, schools can cut their energy expenses by 5 to 20 percent simply by efficiently managing and operating physical plants. This holds true regardless of the age of a school building. A smart O&M program can improve an existing school's energy performance An O&M program can be a simple initiative or a

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481

Microsoft Word - Household Energy Use CA  

Gasoline and Diesel Fuel Update (EIA)

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

482

Microsoft Word - Household Energy Use CA  

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

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

483

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity  

SciTech Connect

Recent advances in computed tomography provide measurement tools to study internal structures of soil aggregates at micrometer resolutions and to improve our understanding of specific mechanisms of various soil processes. Fractal analysis is one of the data analysis tools that can be helpful in evaluating heterogeneity of the intra-aggregate internal structures. The goal of this study was to examine how long-term tillage and land use differences affect intra-aggregate pore heterogeneity. The specific objectives were: (i) to develop an approach to enhance utility of box-counting fractal dimension in characterizing intra-aggregate pore heterogeneity; (ii) to examine intra-aggregate pores in macro-aggregates (4-6 mm in size) using the computed tomography scanning and fractal analysis, and (iii) to compare heterogeneity of intra-aggregate pore space in aggregates from loamy Alfisol soil subjected to 20 yr of contrasting management practices, namely, conventional tillage (chisel plow) (CT), no-till (NT), and native succession vegetation (NS). Three-dimensional images of the intact aggregates were obtained with a resolution of 14.6 {micro}m at the Advanced Photon Source, Argonne National Laboratory, Argonne, IL. Proposed box-counting fractal dimension normalization was successfully implemented to estimate heterogeneity of pore voxel distributions without bias associated with different porosities in soil aggregates. The aggregates from all three studied treatments had higher porosity associated with large (>100 {micro}m) pores present in their centers than in their exteriors. Pores 15 to 60 {micro}m were equally abundant throughout entire aggregates but their distributions were more heterogeneous in aggregate interiors. The CT aggregates had greater numbers of pores 15 to 60 {micro}m than NT and NS. Distribution of pore voxels belonging to large pores was most heterogeneous in the aggregates from NS, followed by NT and by CT. This result was consistent with presence of very large pores associated with former root channels in NT and NS aggregates. Our findings indicate that mechanisms of macro-aggregate formation might differ in their importance in different land use and management practices.

Kravchenko, A.N.; Wang, A.N.W.; Smucker, A.J.M.; Rivers, M.L. (MSU); (UC)

2012-10-25T23:59:59.000Z

484

202-328-5000 www.rff.orgA New Look at Residential Electricity Demand Using Household Expenditure Data  

E-Print Network (OSTI)

We estimate residential electricity demand for different regions of the country, assuming that consumers respond to average electricity prices. We circumvent the need for individual billing information by developing a novel generalized method of moments approach that allows us to estimate demand based on household electricity expenditure data from the Consumer Expenditure Survey, which does not have quantity and price information. We find that price elasticity estimates vary across the four census regionsthe South at 1.02 is the most price-elastic region and the Northeast at 0.82 is the leastand are essentially equivalent across income quartiles. In general, these price elasticity estimates are considerably larger in magnitude than those found in other studies using household-level data that assume that consumers respond to marginal prices. We also apply our elasticity estimates in a U.S. climate policy simulation to determine how these elasticity estimates alter consumption and price outcomes compared to the more conservative elasticity estimates commonly used in policy analysis.

Harrison Fell; Shanjun Li; Anthony Paul; Harrison Fell; Shanjun Li; Anthony Paul; Monte Carlo Analysis

2010-01-01T23:59:59.000Z

485

2012 CERTS R&M Peer Review - A Business Model for Retail Aggregation of Responsive Load - Shmuel Oren  

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

Load Load Control Aggregation Shmuel S. Oren UC Berkeley, California CERTS REVIEW Cornell University, Ithaca NY August 7-8, 2012 PSERC 2 A Smart Grid Vision "Homeostatic Utility Control is an overall concept which tries to maintain an internal equilibrium between supply and demand. Equilibrating forces are obtained over longer time scales (5 minutes and up) by economic principles through an Energy Marketplace using time-varying spot prices. " F.C. Schweppe et al. "HOMEOSTATIC UTILITY CONTROL," IEEE Transactions on Power Apparatus and Systems, Vol. PAS-99, No. 3, May/June 1980 Offered to commercial and industrial customers with load > 500KW

486

STATEMENT OF CONSIDERATIONS REQUEST BY UNIVERSAL AGGREGATES, LLC, FOR AN ADVANCE WAIVER OF  

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

UNIVERSAL AGGREGATES, LLC, FOR AN ADVANCE WAIVER OF UNIVERSAL AGGREGATES, LLC, FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN INVENTION RIGHTS UNDER DOE COOPERATIVE AGREEMENT NO. DE-FC26-02NT41421; W(A)-02-049, CH-1108 The Petitioner, Universal Aggregates, LLC, was awarded this cooperative agreement for the performance of work entitled, "Commercial Demonstration of the Manufactured Aggregate Processing Technology Utilizing Spray Dryer Ash." The purpose of the cooperative agreement is to design, construct and operate a lightweight aggregate manufacturing plant at the Birchwood Power Facility in King George, Virginia. A successful demonstration would lead to additional lightweight aggregate manufacturing facilities in the United States. There are currently twenty-one spray dryer facilities operating in the United States that produce an adequate amount of spray

487

Promoting Renewable Energy in a Market Environment  

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

Promoting Renewable Energy in a Market Environment: A Community-Based Approach for Aggregating Green Demand Rudd Mayer Eric Blank Randy Udall John Nielsen Land and Water Fund of...

488

Energy  

Science Conference Proceedings (OSTI)

Energy. Summary: Key metrologies/systems: Scanning tunneling microscopy and one- and two-photon photoemission/Model ...

2012-10-02T23:59:59.000Z

489

Energy  

Home. Site Map; Printable Version; Share this resource. About; Search; Categories (15) Advanced Materials; Biomass and Biofuels; Building Energy Efficiency ...

490

Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations  

E-Print Network (OSTI)

stylized fact that need to be addressed by any theory of the business cycle. Whether the comovement between sectors and the aggregate business cycle originates from aggregate shocks or sectoral shocks ampli?ed by sectoral interactions, or a combination... Factor demand linkages and the business cycle: interpreting aggregate ?uctuations as sectoral ?uctuations. Sean Holly Ivan Petrella Faculty of Economics and Centre for International Macroeconomics and Finance (CIMF), University of Cambridge...

Petrella, I; Holly, Sean

491

Assessment of Wholesale Market Opportunities for Participation and Aggregation of Distributed Resources  

Science Conference Proceedings (OSTI)

This report provides an assessment of existing opportunities for participation and aggregation of distributed resources in organized wholesale electricity markets. The assessment provides an organized structure for identifying opportunities and requirements for distributed resources to participate in independent system operators (ISOs) and regional transmission organizations (RTOs) markets, either through direct participation or in aggregation. In the report, high-level aggregation, minimum size, and com...

2009-12-31T23:59:59.000Z

492

E-Aggregation: The Present and Future of Online Financial Services in Asia-Pacific  

E-Print Network (OSTI)

Many financial institutions have built websites to inform and attract customers. Financial aggregation present an opportunity by which they can build stronger ...

Fujii, Hiroshi

2003-02-10T23:59:59.000Z

493

SIZE AND SURFACE AREA OF ICY DUST AGGREGATES AFTER A HEATING EVENT AT A PROTOPLANETARY NEBULA  

Science Conference Proceedings (OSTI)

The activity of a young star rises abruptly during an FU Orionis outburst. This event causes a temporary temperature increase in the protoplanetary nebula. H{sub 2}O icy grains are sublimated by this event, and silicate cores embedded inside the ice are ejected. During the high-temperature phase, the silicate grains coagulate to form silicate core aggregates. After the heating event, the temperature drops, and the ice recondenses onto the aggregates. I determined numerically the size distribution of the ice-covered aggregates. The size of the aggregates exceeds 10 {mu}m around the snow line. Because of the migration of the ice to large aggregates, only a small fraction of the silicate core aggregate is covered with H{sub 2}O ice. After the heating event, the surface of an ice-covered aggregate is totally covered by silicate core aggregates. This might reduce the fragmentation velocity of aggregates when they collide. It is possible that the covering silicate cores shield the UV radiation field which induces photodissociation of H{sub 2}O ice. This effect may cause the shortage of cold H{sub 2}O vapor observed by Herschel.

Sirono, Sin-iti [Earth and Environmental Sciences, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8601 (Japan)] [Earth and Environmental Sciences, Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8601 (Japan)

2013-03-01T23:59:59.000Z

494

2012 CERTS R&M Peer Review - A Business Model for Retail Aggregation...  

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

Profile Or Aggregator's Wholesale Offers Profile Determining the Supply Probability r(v) Under Efficient Rationing r(v) Probability of supply assigned to a MW with...

495

Grid Integration of Aggregated Demand Response, Part 2: Modeling...  

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

of energy and operating reserves (lower) ......25 Figure 13. Mean increase in the daily load profile for spring and summer when DR provides energy. Negative numbers are a...

496

Buildings Energy Data Book  

Buildings Energy Data Book (EERE)

2.1 Residential Sector Energy Consumption 2.1 Residential Sector Energy Consumption 2.2 Residential Sector Characteristics 2.3 Residential Sector Expenditures 2.4 Residential Environmental Data 2.5 Residential Construction and Housing Market 2.6 Residential Home Improvements 2.7 Multi-Family Housing 2.8 Industrialized Housing 2.9 Low-Income Housing 3Commercial Sector 4Federal Sector 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to the tables Chapter 2 focuses on energy use in the U.S. residential buildings sector. Section 2.1 provides data on energy consumption by fuel type and end use, as well as energy consumption intensities for different housing categories. Section 2.2 presents characteristics of average households and changes in the U.S. housing stock over time. Sections 2.3 and 2.4 address energy-related expenditures and residential sector emissions, respectively. Section 2.5 contains statistics on housing construction, existing home sales, and mortgages. Section 2.6 presents data on home improvement spending and trends. Section 2.7 describes the industrialized housing industry, including the top manufacturers of various manufactured home products. Section 2.8 presents information on low-income housing and Federal weatherization programs. The main points from this chapter are summarized below: