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Note: This page contains sample records for the topic "tables energy usage" 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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1

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

2

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...

3

Robotics and Energy Usage  

E-Print Network (OSTI)

It is commonly assumed that the use of robots in an industrial plant will cut energy usage, because robots require no heat, light, or air conditioning in their work space. However, in analyzing industrial installations, we have found that, in practice, energy usage may either increase or decrease depending on the parameters of the particular facility. This paper describes our findings at the plants of various manufacturers. We performed on-site studies at plants operated by Chrysler Corporation in St. Louis (62 welding robots) and Franklin Manufacturing Company in St. Cloud, Minnesota (4 spray painting robots used in freezer manufacture), We also examined data on energy effects of robots from John Deere, caterpillar, and GM Guide Division. The effect of robots on electricity usage and other forms of energy usage are analyzed in this paper.

Hershey, R. L.; Fenton, S. E.; Letzt, A. M.

1983-01-01T23:59:59.000Z

4

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

5

Improving energy usage  

SciTech Connect

The Phillips Petroleum Company's Borger Refinery and NGL Process Center Energy Conservation program has been one of surveying, making revisions and additions to, and redesign of processes and equipment to conserve energy. Special emphasis has been placed on minimizing energy usage in the design of new processes in the plants. In 1972 an average of 758,800 Btu's were used to process each barrel of fresh charge. Now 7.5 days of fresh charge are being saved to the plant each year. The energy-use reduction programs discussed were: (1) furnace and boiler excess-oxygen and combustibles control program; (2) installation of an Applied Automation, Inc., Fractionator Computer Control System named Optrol; and (3) the steam-trap program. 1 figure. (DP)

Haage, P.R.

1983-03-01T23:59:59.000Z

6

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:

7

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:

8

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:

9

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:

10

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

11

Energy usage of rotating biological contractor facilities  

SciTech Connect

A recent US Environmental Protection Agency field study investigated the energy requirements for rotating biological contactor (RBC) units. The energy measurements for mechanically driven units varied considerably, but the overall average of 2.03 kW/shaft was very close to current manufacturer estimates. The power factor of most of the mechanically driven units was very low, and most installations could benefit from power factor correction. The energy requirements of air driven units also were highly variable and must be evaluated on an individual plant basis. The results of this study provide factual data on energy usage of RBC units, as well as a basis for developing design and operational considerations to reduce energy usage and maximize operational flexibility and plant performance. 9 references, 7 tables.

Gilbert, W.G.; Wheeler, J.F.; MacGregor, A.

1986-01-01T23:59:59.000Z

12

EART 265 Lecture Notes: Energy Energy Usage  

E-Print Network (OSTI)

EART 265 Lecture Notes: Energy Energy Usage US per capita energy usage is 10 kW. This represents 1 of 2 kW. Euro- pean countries tend to use less energy per capita by a factor of 2. China's per capita/4 of the worldwide energy usage, and with 1/20th of the world population gives a global average power consumption

Nimmo, Francis

13

Table HC2.10 Home Appliances Usage Indicators by Type of Housing ...  

U.S. Energy Information Administration (EIA)

Million U.S. Housing Units Table HC2.10 Home Appliances Usage Indicators by Type of Housing Unit, 2005 Housing Units (millions) Single-Family Units

14

Energy usage in super markets  

SciTech Connect

The supermarket industry used 450 billion Btu's of energy each day, enough to heat 2 million homes. But more important than the overall energy usage is what energy is costing the supermarket operator; in many cases energy costs exceed rent. This special research report is designed to help the supermarket management determine if their stores are excessive energy users and to provide valuable data for planning remodels and new stores. The report is presented in five sections. The first two sections, General Observations and Monthly Electrical Usage and Demand Power, can easily be used by all supermarket operators. The third and fourth sections contain more detailed statistics that will be valuable to industry people who want to analyze energy usage more thoroughly. The statistics in section 1-4 are reported for various geographic regions and store sizes. Section five is the sample distribution which provides an insight into what other stores are using for refrigeration, lighting, etc. The information in this report is average for a typical supermarket and should be used only as that when compared to a specific supermarket facility.

Gerke, E.

1976-01-01T23:59:59.000Z

15

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 U.S. Energy Information 9/27/2013 9:52:45 AM Administration | Natural Gas Monthly 9 Created on: Table 4. U.S. natural gas imports ...

16

Table H7: Natural Gas Usage for Large Hospitals  

U.S. Energy Information Administration (EIA)

Author: Joelle Davis Last modified by: KJO Created Date: 11/30/2001 7:57:29 PM Company: DOE/EIA Other titles: Data for Table H7 RSEs for Table H7 'Data for Table H7 ...

17

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

18

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 ...

19

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Alphabetically Tools by Platform PC Mac UNIX Internet Tools by Country Related Links Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides...

20

Table HC15.7 Air-Conditioning Usage Indicators by Four Most...  

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

New York Florida Texas California Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC15.7...

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


21

Table HC5.10 Home Appliances Usage Indicators by Year of ...  

U.S. Energy Information Administration (EIA)

Million U.S. Housing Units 1950 to 1959 1960 to 1969 1970 to 1979 Table HC5.10 Home Appliances Usage Indicators by Year of Construction, 2005 Year of Construction

22

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

23

Material impacts on operational energy usage  

E-Print Network (OSTI)

Decisions regarding materials and construction of a building are made all the time in the architectural process, but thought is not always given to how those choices may affect the buildings ultimate energy usage and the ...

Love, Andrea, S.M. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

24

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

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

25

Reducing the Energy Usage of Office Applications  

E-Print Network (OSTI)

In this paper, we demonstrate how component-based middleware can reduce the energy usage of closed-source applications. We rst describe how the Puppeteer system exploits well-dened interfaces exported by applications to modify their behavior. We then present a detailed study of the energy usage of Microsoft's PowerPoint application and show that adaptive policies can reduce energy expenditure by 49% in some instances. In addition, we use the results of the study to provide general advice to developers of applications and middleware that will enable them to create more energy-ecient software. 1

Jason Flinn; Eyal De Lara; M. Satyanarayanan; Dan S. Wallach; Willy Zwaenepoel; Willy

2001-01-01T23:59:59.000Z

26

New energy usage patterns in manufacturing  

SciTech Connect

Long term energy demands of industrial societies will exceed energy production capabilities if present usage patterns remain unchanged. Thus the central core of the current energy dilemma involves the change from reliance on petroleum sources to the utilization of more plentiful energy resources. The two energy resources which are plentiful and the technology already exists for their development are coal and uranium. Several concepts of substituting electricity for oil and natural gas are presented.

Hauser, L.G.

1976-01-01T23:59:59.000Z

27

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

28

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

29

Residential Energy Usage Comparison: Findings  

Science Conference Proceedings (OSTI)

The load shapes of major residential electric and gas appliances were compared in an integrated load and market research project in southern California. The energy consumption data provide a benchmark for comparing the costs of alternative technologies; the market research data relate customer attitudes with appliance load shapes.

1991-08-19T23:59:59.000Z

30

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

31

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

32

Green Button Helps More Consumers Click with Their Energy Usage...  

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

Helps More Consumers Click with Their Energy Usage Data Green Button Helps More Consumers Click with Their Energy Usage Data September 12, 2013 - 2:41pm Addthis At the White House...

33

Energy Usage Data Standard for US Smart Grid Passes Key ...  

Science Conference Proceedings (OSTI)

Energy Usage Data Standard for US Smart Grid Passes Key Advisory Panel Vote. From NIST Tech Beat: March 1, 2011. ...

2011-03-01T23:59:59.000Z

34

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

35

"Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" 3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Lighting Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,12.2,4.6 "1.",28.6,5,3.5,1.5 "2.",29.5,6.2,4.8,1.4 "3.",14.7,2.5,1.7,0.8 "4.",9.3,1.5,1.1,0.4 "5 or More",9.7,1.6,1.1,0.5 "Energy-Efficient Bulbs Used",31.1,5.2,3.6,1.6

36

"Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"  

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

3 Lighting Usage Indicators by West Census Region, 2005" 3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Lighting Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,19.5,6.1,13.4 "1.",28.6,6.1,1.7,4.4 "2.",29.5,6.3,1.8,4.5 "3.",14.7,3.1,1.1,2 "4.",9.3,1.9,0.6,1.3 "5 or More",9.7,2,0.8,1.2 "Energy-Efficient Bulbs Used",31.1,8.6,2.3,6.3 "1.",14.6,3.6,1,2.6

37

Energy Information Administration (EIA) - Supplement Tables  

Gasoline and Diesel Fuel Update (EIA)

6 6 1 to 116 Complete set of Supplemental Tables Complete set of Supplemental Tables. Need help, please contact the National Energy Information Center at 202-586-8800. Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central

38

Reducing Energy Usage in Extractive Distillation  

E-Print Network (OSTI)

Butadiene 1:3 is separated from other C4-hydrocarbons by extractive distillation in a sieve plate tower. Prior to the development work to be described, the pressure in the extraction tower was controlled at a fixed value. The tower pressure-boilup control loop did not behave satisfactorily in the presence of non-condensables which entered with the feed. The capacity of the flooded reflux drum condenser for the tower was limiting production during summer months. The tower pressure control loop was put on manual. The pressure was allowed to drop to its lowest attainable value for the existing conditions of boilup and condenser cooling capability. This manner of operation is known as floating pressure control. By taking advantage of the higher relative volatility at the lower tower pressure, energy usage was reduced and there was an increase in production capacity. The tower operation at a lower temperature reduced tower and reboiler fouling. Substantial savings have resulted from these improvements. The annual energy consumption has been reduced by 25% and maximum productive capacity is higher by 15%. The rate of tower and reboiler fouling has not been fully quantified but is greatly reduced. A more stable tower operation has also contributed to higher productivity and reduced energy usage. Venting of non-condensables does not affect tower stability and the operators have adapted well to the new control strategy.

Saxena, A. C.; Bhandari, V. A.

1985-05-01T23:59:59.000Z

39

All Consumption Tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a

40

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

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


41

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

42

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Iron and Steel Industries Energy Consumption XLS: Table 32. Aluminum Industry Energy Consumption XLS: Table 33. Metal Based Durables Energy ...

43

Description of Energy Intensity Tables (12)  

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

3. Description of Energy Intensity Data Tables 3. Description of Energy Intensity Data Tables There are 12 data tables used as references for this report. Specifically, these tables are categorized as tables 1 and 2 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1985, 1988, 1991, and 1994; along with the percentage changes between 1985 and the three subsequent years (1988, 1991, and 1994) tables 3 and 4 present 1988, 1991, and 1994 energy-intensity ratios that have been adjusted to the mix of products shipped from manufacturing establishments in 1985 tables 5 and 6 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1988, 1991, and 1994; along with the percentage changes between 1988 and the two subsequent

44

Residential energy usage comparison project: An overview  

SciTech Connect

This report provides an overveiw of the residential energy usage comparison project, an integrated load and market research project sponsored by EPRI and the Southern California Edison Company. Traditional studies of the relative energy consumption of electric and gas household appliances have relied on laboratory analyses and computer simulations. This project was designed to study the appliance energy consumption patterns of actual households. Ninety-two households in Orange County, California, southeast of Los Angeles, served as the study sample. Half of the households received new electric space-conditioning, water-heating, cooking, and clothes-drying equipment; the other half received gas equipment. The electric space-conditioning and water-heating appliances were heat pump technologies. All of the appliances were metered to collect load-shape and energy consumption data. The households were also surveyed periodically to obtain information on their energy needs and their acceptance of the appliances. The metered energy consumption data provide an important benchmark for comparing the energy consumption and costs of alternative end-use technologies. The customer research results provide new insights into customer preferences for fuel and appliance types. 15 figs., 3 tabs.

Smith, B.A.; Uhlaner, R.T.; Cason, T.N. (Quantum Consulting, Inc., Berkeley, CA (USA))

1990-10-01T23:59:59.000Z

45

"Table HC15.13 Lighting Usage Indicators by Four Most Populated...  

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

3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage...

46

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

6 6 Supplemental Tables to the Annual Energy Outlook 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2006 (AEO2006) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2030. Most of the tables were not published in the AEO2006, but contain regional and other more detailed projections underlying the AEO2006 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2006 Appendix tables A2 and A3, respectively. Forecasts for 2004-2006 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

47

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

7 7 Supplemental Tables to the Annual Energy Outlook 2007 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2007 (AEO2007) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2005 to 2030. Most of the tables were not published in the AEO2007, but contain regional and other more detailed projections underlying the AEO2007 projections. The files containing these tables are in spreadsheet format. A total of one hundred and eighteen tables is presented. The data for tables 10 and 20 match those published in AEO2007 Appendix tables A2 and A3, respectively. Projections for 2006 and 2007 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term projections and are based on more current information than the AEO.

48

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES  

E-Print Network (OSTI)

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides especially effectively in energy-aware systems, allowing inspection vehicles (which typically travel farther

Idaho, University of

49

Usage of Electronic Monograph  

Science Conference Proceedings (OSTI)

Usage of Electronic Monograph. The following table shows the approximate usage of the monograph since April 1998. ...

2013-08-02T23:59:59.000Z

50

Supplemental Tables to the Annual Energy Outlook - Energy Information...  

Gasoline and Diesel Fuel Update (EIA)

Energy Outlook 2012 Release Date: June 25, 2012 | Next Release Date: June 2013 | Report Number: DOEEIA-0383(2012) Table Title Formats Summary Reference Case Tables...

51

Supplemental Tables to the Annual Energy Outlook  

Reports and Publications (EIA)

The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook (AEO) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

2013-05-01T23:59:59.000Z

52

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region...  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Mi...

53

Energy Information Administration (EIA) - Supplement Tables  

Gasoline and Diesel Fuel Update (EIA)

7 7 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 5. South Atlantic Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800.

54

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

10 10 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

55

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

56

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

57

Towards appliance usage prediction for home energy management  

Science Conference Proceedings (OSTI)

In this paper, we address the problem of predicting the usage of home appliances where a key challenge is to model the everyday routine of homeowners and the inter-dependency between the use of different appliances. To this end, we propose an agent based ... Keywords: home energy management, usage prediction

Ngoc Cuong Truong, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-01-01T23:59:59.000Z

58

Energy Usage Information: Lessons from the Credit Reporting Industry.  

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

Energy Usage Information: Lessons from the Credit Reporting Industry. Energy Usage Information: Lessons from the Credit Reporting Industry. Speaker(s): Philip Henderson Date: October 4, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page There has been much discussion about the use of customer energy usage information to deliver value, such as with benchmarking tools that compare energy use in a building to a peer set, continuous commissioning services that diagnose faults in building systems, and tools that estimate expected savings from upgrades. A utility can use customer information to deliver these kinds of services to its customers directly, but most utilities today do not enable companies to obtain a customer's energy usage information in a systematic, automated way to deliver services to the customer, even if

59

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

60

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

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


61

"Table HC13.13 Lighting Usage Indicators by South Census Region...  

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

3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

62

"Table HC11.13 Lighting Usage Indicators by Northeast Census...  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

63

"Table HC12.13 Lighting Usage Indicators by Midwest Census Region...  

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

3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

64

"Table HC14.13 Lighting Usage Indicators by West Census Region...  

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

3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West"...

65

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

Gasoline and Diesel Fuel Update (EIA)

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

66

Table HC6.12 Home Electronics Usage Indicators by Number of...  

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4...

67

Table CT1. Energy Consumption Estimates for Major Energy Sources ...  

U.S. Energy Information Administration (EIA)

R A D O. U.S. Energy Information Administration State Energy Data 2011: Consumption 89 Table CT6. Industrial Sector Energy Consumption Estimates, Selected Years, 1960 ...

68

Table CT1. Energy Consumption Estimates for Major Energy ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration State Energy Data 2011: Consumption 365 Table CT2. Primary Energy Consumption Estimates, Selected Years, 1960-2011, North ...

69

People are Strange: Current Behavioral Insights into Energy Usage  

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

People are Strange: Current Behavioral Insights into Energy Usage Speaker(s): Susan Mazur-Stommen Date: October 10, 2011 - 12:00pm Location: 90-1099 Seminar HostPoint of Contact:...

70

Energy Usage Information: Lessons from the Credit Reporting Industry...  

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

Energy Usage Information: Lessons from the Credit Reporting Industry. Speaker(s): Philip Henderson Date: October 4, 2012 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact:...

71

Annual Energy Outlook 2007 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

4-2030) 4-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2004-2030) Table Title Formats Summary Low Price Case Tables Low Price Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade Table 11. Petroleum Supply and Disposition Balance

72

Annual Energy Outlook 2007 - Low Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Low Macroeconomic Growth Case Tables (2004-2030) Low Macroeconomic Growth Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Economic Growth Case Tables (2004-2030) Table Title Formats Summary Low Economic Growth Case Tables Low Economic Growth Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity

73

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

of usage nationwide, we can estimate total national energythe total combined energy use. 3. Average usage over alltotal game console usage, this suggests that an appreciable fraction of console energy

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

74

Annual Energy Outlook Forecast Evaluation-Table 1  

Annual Energy Outlook 2012 (EIA)

Annual Energy Outlook Forecast Evaluation > Table 1 Annual Energy Outlook Forecast Evaluation Table 1. Comparison of Absolute Percent Errors for AEO Forecast Evaluation, 1996 to...

75

"Table HC11.5 Space Heating Usage Indicators by Northeast Census...  

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

"No",54.7,9.8,6.7,3 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,8.2,5.9,2.3 "Adequately Insulated",46.3,8.1,6.1,2 "Poorly...

76

EIA-Annual Energy Outlook 2010 - Low Economic Growth Tables  

Gasoline and Diesel Fuel Update (EIA)

Economic Growth Tables (2007- 2035) Economic Growth Tables (2007- 2035) Annual Energy Outlook 2010 Main Low Economic Growth Tables (2007- 2035) Table Title Formats Summary Low Economic Growth Case Tables PDF Gif Year-by-Year Low Economic Growth Case Tables Excel Gif Table 1. Total Energy Supply, Disposition, and Price Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions

77

EIA-Annual Energy Outlook 2010 - High Economic Growth Tables  

Gasoline and Diesel Fuel Update (EIA)

Economic Growth Tables (2007-2035) Economic Growth Tables (2007-2035) Annual Energy Outlook 2010 Main High Economic Growth Tables (2007- 2035) Table Title Formats Summary High Economic Growth Case Tables PDF Gif Year-by-Year High Economic Growth Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif

78

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

console usage and national energy consumption: Results fromNational Energy Consumption .Discussion National Energy Consumption Under the assumption

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

79

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

U.S. Energy Information Administration (EIA)

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

80

Annual Energy Outlook 2009 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

6-2030) 6-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel High Price Case Tables (2006-2030) Table Title Formats Summary High Price Case Tables PDF GIF High Price Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions XLS GIF Table 9. Electricity Generating Capacity

Note: This page contains sample records for the topic "tables energy usage" 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

START Alaska Historical Energy Usage Spreadsheet  

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

Communities applying for the DOE Office of Indian Energy Strategic Technical Assistance Response Team (START) Initiative for Community Energy Planning and Projects Round Two are asked to download...

82

"Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"  

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

3 Lighting Usage Indicators by South Census Region, 2005" 3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Lighting Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,33.8,17.5,6.1,10.3 "1.",28.6,11.2,6.5,1.5,3.2 "2.",29.5,10.5,5.4,2,3.1 "3.",14.7,5,2.1,1.2,1.7 "4.",9.3,3.4,1.5,0.8,1.2 "5 or More",9.7,3.7,1.9,0.6,1.2

83

"Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"  

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

0 Home Appliances Usage Indicators by Household Income, 2005" 0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.9,2.5,1.3,0.5,1,2.4,4.6 "2 Times A Day",24.6,6.5,7,4.3,3.2,3.6,4.8,10.3 "Once a Day",42.3,8.8,9.8,8.7,5.1,10,5,12.9

84

"Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

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

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

85

"Table HC9.12 Home Electronics Usage Indicators by Climate Zone, 2005"  

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

2 Home Electronics Usage Indicators by Climate Zone, 2005" 2 Home Electronics Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Home Electronics Usage Indicators" "Total",111.1,10.9,26.1,27.3,24,22.8 "Personal Computers" "Do Not Use a Personal Computer",35.5,3.2,8.3,8.9,7.7,7.5 "Use a Personal Computer",75.6,7.8,17.8,18.4,16.3,15.3 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,6.2,14.3,14.2,12.1,11.9

86

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

87

"Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location...  

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

",54.7,24.9,8.6,11.5,9.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,16,7.1,9.4,10.3 "Adequately Insulated",46.3,20.3,8,9.5,8.5...

88

"Table HC13.5 Space Heating Usage Indicators by South Census...  

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

No",54.7,20.9,11.3,3.6,6 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,16.1,9.1,2.5,4.5 "Adequately Insulated",46.3,17,9.1,3.2,4.7...

89

"Table HC3.5 Space Heating Usage Indicators by Owner-Occupied...  

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

6.7,29.4,2.3,0.9,1.3,2.8 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,32.8,27.8,1.5,1,0.9,1.6 "Adequately Insulated",46.3,33,26.8,2...

90

"Table HC15.5 Space Heating Usage Indicators by Four Most Populated...  

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

No",54.7,3.2,3.3,3.8,5.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,3.1,2.7,3,3.5 "Adequately Insulated",46.3,2.7,3.1,3.1,5.2...

91

"Table HC10.5 Space Heating Usage Indicators by U.S. Census...  

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

,54.7,9.8,12.9,20.9,11.2 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,8.2,10.6,16.1,7.9 "Adequately Insulated",46.3,8.1,10.6,17,10....

92

"Table HC4.5 Space Heating Usage Indicators by Renter-Occupied...  

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

17.9,3.6,1.9,3.2,8.6,0.6 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,10,2,0.8,1.8,5.1,0.2 "Adequately Insulated",46.3,13.3,3,1.5,2...

93

"Table HC12.5 Space Heating Usage Indicators by Midwest Census...  

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

"No",54.7,12.9,9.1,3.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,10.6,7.2,3.4 "Adequately Insulated",46.3,10.6,7.5,3.1 "Poorly...

94

"Table HC14.5 Space Heating Usage Indicators by West Census...  

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

"No",54.7,11.2,3.4,7.8 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,7.9,2.8,5.1 "Adequately Insulated",46.3,10.6,3.3,7.3 "Poorly...

95

"Table HC7.5 Space Heating Usage Indicators by Household Income...  

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

5,11.2,6.7,13.2,5.8,14.5 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,9,11,8.2,5.1,9.5,4.8,13.1 "Adequately Insulated",46.3,10.4,11...

96

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

97

Predicting Energy Usage in a Supermarket  

E-Print Network (OSTI)

Very little is known about the energy using systems in commercial and retail stores, which consume 24.8% of the energy used by all commercial buildings. This paper describes development of a change-point regression model for predicting the hourly and daily electrical use of a supermarket. Operational improvements already identified with the model can save the store over 4% of their electricity cost annually. Further analysis is expected to save the store additional energy costs.

Schrock, D. W.; Claridge, D. E.

1989-01-01T23:59:59.000Z

98

EIA - International Energy Outlook 2007-Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections Tables (1990-2030) Reference Case Projections Tables (1990-2030) International Energy Outlook 2007 Reference Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

99

Annual Energy Outlook 2008 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Low Price Case Tables (2009-2030) Table Title Formats...

100

Annual Energy Outlook 2007 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2004-2030) Table Title...

Note: This page contains sample records for the topic "tables energy usage" 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

Annual Energy Outlook 2008 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2005-2030) Annual Energy Outlook 2008 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2005-2030) Table Title...

102

Annual Energy Outlook 2008 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2005-2030) Annual Energy Outlook 2008 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2005-2030) Table Title...

103

Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005  

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

0 Home Appliances Usage Indicators by Four Most Populated States, 2005 0 Home Appliances Usage Indicators by Four Most Populated States, 2005 Total.................................................................................... 111.1 7.1 7.0 8.0 12.1 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 0.6 0.5 0.8 1.4 2 Times A Day.............................................................. 24.6 1.4 1.5 2.0 3.1 Once a Day................................................................... 42.3 2.4 3.0 2.7 4.1 A Few Times Each Week.............................................. 27.2 2.1 1.7 1.7 2.5 About Once a Week...................................................... 3.9 0.3 Q 0.4 0.6 Less Than Once a Week............................................... 4.1 Q Q 0.3 0.4 No Hot Meals Cooked...................................................

104

Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005  

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

7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005 7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005 Total.................................................................................. 111.1 7.1 7.0 8.0 12.1 Do Not Have Cooling Equipment.................................... 17.8 1.8 Q Q 4.9 Have Cooling Equipment................................................. 93.3 5.3 7.0 7.8 7.2 Use Cooling Equipment.................................................. 91.4 5.3 7.0 7.7 6.6 Have Equipment But Do Not Use it................................ 1.9 Q N Q 0.6 Type of Air-Conditioning Equipment 1, 2 Central System............................................................. 65.9 1.1 6.4 6.4 5.4 Without a Heat Pump................................................. 53.5 1.1 3.5 5.7 4.9 With a Heat Pump......................................................

105

Submetering of Building Energy and Water Usage  

Science Conference Proceedings (OSTI)

... 22 4.1.4 Natural Gas and Steam Submetering . . . ... 2. DOE/EIA Annual Energy Outlook 2010, http://www.eia.doe.gov/oiaf/aeo/demand.html. Page 15. ...

2011-11-10T23:59:59.000Z

106

Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005  

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

5 Space Heating Usage Indicators by Number of Household Members, 2005 5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005 Heated Floorspace (Square Feet) None............................................................ 3.6 1.0 0.8 0.5 0.5 0.7 1 to 499........................................................ 6.1 3.0 1.6 0.6 0.6 0.3 500 to 999.................................................... 27.7 11.6 8.3 3.6 2.7 1.6 1,000 to 1,499..............................................

107

Definition: Reduced Oil Usage (Not Monetized) | Open Energy Information  

Open Energy Info (EERE)

Usage (Not Monetized) Usage (Not Monetized) Jump to: navigation, search Dictionary.png Reduced Oil Usage (Not Monetized) The functions that provide this benefit eliminate the need to send a line worker or crew to the switch or capacitor locations to operate them eliminate the need for truck rolls to perform diagnosis of equipment condition, and reduce truck rolls for meter reading and measurement purposes. This reduces the fuel consumed by a service vehicle or line truck. The use of plug-in electric vehicles can also lead to this benefit since the electrical energy used by plug-in electric vehicles displaces the equivalent amount of oil.[1] References ↑ SmartGrid.gov 'Description of Benefits' An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition

108

International Energy Outlook - Table of Contents  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook International Energy Outlook EIA Glossary International Energy Outlook 2004 Report #: DOE/EIA-0484(2004) Release date: April 2004 Next release date: July 2005 The International Energy Outlook 2004 (IEO2004) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S.projections appearing in IEO2004 are consistent with those published in EIA's Annual Energy Outlook 2004 (AEO2004), which was prepared using the National Energy Modeling System (NEMS). Table of Contents Appendixes Highlights World Energy and Economic Outlook Outlook for Primary Energy Consumption Energy End Use Outlook for Carbon Dioxide Emissions World Economic Outlook Alternative Growth Case Trends in Energy Intensity

109

Efficient Energy Usage in Butane Splitters  

E-Print Network (OSTI)

A World surplus of mixed butanes coupled with an increased need for gasoline extenders has raised the demand for isobutane. Isobutane is readily separated from an admixture with normal butane by conventional distillation techniques. However, application of the heat pump principle to this separation can reduce energy consumption by over 50%, though capital costs increase. The conventional fractionation scheme is compared to two different methods of applying the heat pump principle; overhead compression and bottoms flash compression. For both heat pump designs, payout time is less than one year for a Middle East location, based upon a detailed study of an actual case.

Barnwell, J.; Morris, C. P.

1982-01-01T23:59:59.000Z

110

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2003 Annual Energy Outlook 2003 Assumptions to the AEO2003 Nattional Energy Modeling System/Annual Energy Outlook 2003 Conference E-Mail Subscription Lists Forecasts Home Page Supplement Tables to the Annual Energy Outlook 2003 AEO Supplement Reference Case Forecast (2000-2025) - (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central)

111

Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005  

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model..................................................... 58.6 10.0 20.0 11.2 10.1 7.3 Laptop Model........................................................ 16.9 3.7 5.4 3.2 3.1 1.5 Hours Turned on Per Week Less than 2 Hours................................................. 13.6 4.0 4.7 1.7 1.8 1.4 2 to 15 Hours........................................................

112

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it...................... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System................................................... 65.9 15.3 22.6 10.7 9.9 7.3 Without a Heat Pump....................................... 53.5 12.5 17.9 8.7 8.2 6.3 With a Heat Pump............................................ 12.3

113

Table 24. Refining Industry Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

- Corrections to Tables 24 to 32 - Corrections to Tables 24 to 32 Table 24. Refining Industry Energy Consumption 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 2002- 2025 Carbon Dioxide Emissions 4/ (million metric tons) 190.4 185.7 188.0 191.3 207.3 215.6 220.0 222.8 225.1 226.3 228.0 230.7 234.1 237.5 238.5 239.4 239.4 238.6 240.6 240.5 242.2 244.2 245.9 246.3 246.6 1.2% Table 25. Food Industry Energy Consumption 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 2002- 2025 Carbon Dioxide Emissions 3/ (million metric tons) 87.8 89.4 87.5 87.8 89.2 90.2 90.9 91.4 92.2 93.5 94.5 95.7 96.7 97.7 98.6 99.6 100.8 101.9 102.9 104.1 105.4 107.0 108.7 110.3 112.1 1.0% Table 26. Paper Industry Energy Consumption 2001 2002 2003 2004 2005 2006 2007

114

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

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

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

115

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Kenworthy (1989a). Gasoline consumption and cities. Journalon Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomas

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

116

Help:Tables | Open Energy Information  

Open Energy Info (EERE)

Tables Tables Jump to: navigation, search Tables may be authored in wiki pages using either XHTML table elements directly, or using wikicode formatting to define the table. XHTML table elements and their use are well described on various web pages and will not be discussed here. The benefit of wikicode is that the table is constructed of character symbols which tend to make it easier to perceive the table structure in the article editing view compared to XHTML table elements. As a general rule, it is best to avoid using a table unless you need one. Table markup often complicates page editing. Contents 1 Wiki table markup summary 2 Basics 2.1 Table headers 2.2 Caption 3 XHTML attributes 3.1 Attributes on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan

117

NREL: Power Technologies Energy Data Book - Table of Contents  

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

Energy Analysis Center Energy Analysis Newsletter Power Technologies Energy Data Book Home Table of Contents 1 Introduction 2 Technology Profiles 3 Electricity Restructuring...

118

Table 2.1 Energy Consumption by Sector (Trillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 23 Table 2.1 Energy Consumption by Sector (Trillion Btu) End-Use Sectors Electric

119

Table 2.4 Industrial Sector Energy Consumption (Trillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 29 Table 2.4 Industrial Sector Energy Consumption (Trillion Btu) Primary Consumptiona

120

Table 1.1 Primary Energy Overview (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review November 2013 3 Table 1.1 Primary Energy Overview (Quadrillion Btu) Production Trade

Note: This page contains sample records for the topic "tables energy usage" 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

EIA - Supplemental Tables to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the AEO 2008 Supplemental Tables to the AEO 2008 Supplemental Tables to the Annual Energy Outlook 2008 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2008 (AEO2008) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2005 to 2030. Most of the tables were not published in the AEO2008, but contain regional and other more detailed projections underlying the AEO2008 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables are presented. The data for tables 10 and 20 match those published in AEO2008 Appendix tables A2 and A3, respectively. Projections for 2007 and 2008 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term projections and are based on more current information than the AEO.

122

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures 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. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

123

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

124

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

125

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1e Transportation Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

126

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

and energy savings potential of video game consoles in thethe energy efficiency of video game consoles. NaturalVideo game console usage and national energy consumption:

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

127

"Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"  

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

3 Lighting Usage Indicators by Four Most Populated States, 2005" 3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,5.5,5.5,6.7,9.5 "1.",28.6,1.8,2,2.3,2.8 "2.",29.5,2.3,1.9,2,3.4 "3.",14.7,0.7,0.8,0.9,1.4 "4.",9.3,0.4,"Q",0.8,1.1 "5 or More",9.7,0.4,0.4,0.8,0.9 "Energy-Efficient Bulbs Used",31.1,1.7,1.7,2.1,4.7

128

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" 3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,21.7,33.8,19.5 "1.",28.6,5,6.3,11.2,6.1 "2.",29.5,6.2,6.5,10.5,6.3 "3.",14.7,2.5,4,5,3.1 "4.",9.3,1.5,2.5,3.4,1.9 "5 or More",9.7,1.6,2.4,3.7,2 "Energy-Efficient Bulbs Used",31.1,5.2,6.7,10.6,8.6

129

Research and development opportunities for improved transportation energy usage. (REDOTEUS)  

SciTech Connect

The document is a draft of the final report of the Transportation Energy Panel (TEP) prepared for the Office of Science and Technology. The report attempts to assess the relevant technology for improving the usage by the transportation sector of the energy resources of the nation. In pursuit of its study, TEP sponsored several workshops, briefings, and coordination meetings which had personnel from a variety of Federal, academic, and industrial organizations. Emphasis was given both to transportation demands and to relevant technology assessment. (GRA)

1972-07-14T23:59:59.000Z

130

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

131

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

Gasoline and Diesel Fuel Update (EIA)

2013 (See release cycle changes) | correction | full 2013 (See release cycle changes) | correction | full report Overview Data Reference Case Side Cases Interactive Table Viewer Topics Source Oil/Liquids Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand Other Emissions Prices Macroeconomic International Efficiency Publication Chapter Market Trends Issues in Focus Legislation & Regulations Comparison Appendices View All Filter By Source Oil Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Other Topics Emissions Prices Macroeconomic International Data TablesAll Tables Reference case summary & detailed tables... + EXPAND ALL Summary Case Tables additional formats Table 1. Total Energy Supply, Disposition, and Price Summary XLS

132

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New Jersey" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,...

133

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Illinois" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

134

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Virginia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

135

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Texas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,...

136

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Washington" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,...

137

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Montana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,199...

138

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Maine" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,...

139

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "South Dakota" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,199...

140

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Kansas" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999...

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


141

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "West Virginia" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,19...

142

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Louisiana" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1...

143

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New Hampshire" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,19...

144

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

145

Advanced Materials for Energy Conversion II TABLE OF CONTENTS  

Science Conference Proceedings (OSTI)

This Table of Contents is from Advanced Materials for Energy Conversion II ... Energy Crisis Fact or Fiction? [pp. .... W.-M. Chien, A. Price and D. Chandra.

146

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

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

147

Trends in Building Energy Usage in Texas State Agencies  

E-Print Network (OSTI)

In late 1983, a cost containment program was initiated out of the governor's office directed at the major state agencies. The Energy Management Group at Texas A&M University provided technical expertise in obtaining agency energy usage and cost figures for the fiscal years 1981 to 1983. While there is considerable diversity from agency to agency, the trend is toward dramatically higher energy cost per square foot for virtually all agencies. This alarming trend can be partially explained by rising unit costs for gas and electricity and a lack of incentives for conservation efforts due to the method of utility budget allocations. A building standard signed into law in 1976 could have reduced energy consumption, but was never enforced. Beginning in fiscal year 1986, universities will be allowed to comingle utility money with capital operating money so that conservation can really pay off for them.

Murphy, W. E.; Turner, W. D.; O'Neal, D. L.; Seshan, S.

1985-01-01T23:59:59.000Z

148

Energy Usage Evaluation and Condition Monitoring for Electric Machines using Wireless Sensor Networks.  

E-Print Network (OSTI)

??Energy usage evaluation and condition monitoring for electric machines are important in industry for overall energy savings. Traditionally these functions are realized only for large (more)

Lu, Bin

2006-01-01T23:59:59.000Z

149

EIA - Supplemental Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Analysis > Supplemental Tables to the AEO 2009 Analysis > Supplemental Tables to the AEO 2009 Supplemental Tables to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2009 (AEO2009) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2006 to 2030. Most of the tables were not published in the AEO2009, but contain regional and other more detailed projections underlying the AEO2009 projections. The files containing these tables are in spreadsheet format. A total of one hundred and twenty-eight tables are presented.

150

Energy Information Administration - Energy Efficiency-Table 3.  

Gasoline and Diesel Fuel Update (EIA)

Energy Efficiency > Iron and Steel Manufacturing Energy, 1998 and 2002 > Table 3 Energy Efficiency > Iron and Steel Manufacturing Energy, 1998 and 2002 > Table 3 Page Last Modified: June 2010 Table 3. Offsite-Produced Fuel Consumption, 1998, 2002, and 2006 (trillion Btu) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 1998 2002 2006 Total2 NA 950 749 Net Electricity3 NA 185 175 Natural Gas NA 388 326 Coal NA 36 14 Residual Fuel NA 1 19 Coke and Breeze NA 313 186 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

151

Commercial Building HVAC Energy Usage in Semi-Tropical Climates  

E-Print Network (OSTI)

The design of heating and cooling equipment in semi-tropical climates presents some design considerations and limitations not so prevalent in temperate climates. In some cases, the heating season may be non-existent for all practical purposes. Another consideration is the high ventilation loads due to cooling the moist air prevalent in semi-tropical climates. This paper describes a computer program which assesses all the pertinent variables which comprise the annual heating and cooling energy requirements for commercial buildings. It is then suggested that this computer program would be valuable in determining the changes one could expect in annual energy usage by varying certain building design parameters. Secondly, a small office building actually constructed in Central Florida in which the author designed the Heating and Cooling HVAC system is described. Tradeoffs are presented showing the effects of changes in these building design parameters.

Worbs, H. E.

1987-01-01T23:59:59.000Z

152

Supplemental Tables to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Released Date: February 2006 Released Date: February 2006 Next Release Date: February 2007 Supplemental Tables to the Annual Energy Outlook 2006 Table 1. Energy Consumption by Sector and Source (quadrillion Btu, unless otherwise noted) New England 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Energy Consumption Residential Distillate Fuel 0.313 0.330 0.337 0.301 0.294 0.294 0.293 0.293 0.292 0.291 0.288 0.286 0.284 0.282 0.278 Kerosene 0.012 0.014 0.014 0.016 0.015 0.015 0.015 0.015 0.015 0.015 0.015 0.014 0.014 0.014 0.014 Liquefied Petroleum Gas 0.029 0.030 0.030 0.029 0.029 0.030 0.030 0.031 0.031 0.031 0.032 0.032 0.032 0.033 0.033 Petroleum Subtotal 0.354 0.375 0.381 0.346 0.338 0.339 0.338 0.338 0.337 0.337 0.334 0.332 0.330 0.328 0.325 Natural Gas 0.200 0.191 0.193 0.191 0.191 0.193 0.193 0.195 0.196 0.197 0.197

153

Table 1. Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

5 U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 Table 1. Crude Oil Prices (Dollars per Barrel) Year Month Domestic

154

Table 1. Crude Oil Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

5 U.S. Energy Information Administration/Petroleum Marketing Monthly October 2013 Table 1. Crude Oil Prices (Dollars per Barrel) Year Month Domestic

155

Table E1. Estimated Primary Energy Consumption in the United ...  

U.S. Energy Information Administration (EIA)

Table E1. Estimated Primary Energy Consumption in the United States, Selected Years, 1635-1945 (Quadrillion Btu) Year: Fossil Fuels

156

Table 37. Light-Duty Vehicle Energy Consumption by Technology ...  

U.S. Energy Information Administration (EIA)

Table 37. Light-Duty Vehicle Energy Consumption by Technology Type and Fuel Type (trillion Btu) Light-Duty Consumption by Technology Type Conventional Vehicles 1/

157

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.

158

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

159

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Average Absolute Percent Error Variable AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 Consumption Total Energy Consumption 1.7 1.7 1.8 1.9 1.9 2.1 Total Petroleum Consumption 2.9 2.8 2.9 3.0 2.9 2.9 Total Natural Gas Consumption 5.7 5.6 5.6 5.5 5.5 6.5 Total Coal Consumption 3.0 3.2 3.3 3.5 3.6 3.7 Total Electricity Sales 1.7 1.8 1.9 2.4 2.5 2.4 Production Crude Oil Production 4.3 4.5 4.5 4.5 4.5 4.7 Natural Gas Production 4.8 4.7 4.6 4.6 4.4 4.4 Coal Production 3.6 3.6 3.5 3.7 3.6 3.8 Imports and Exports Net Petroleum Imports 9.5 8.8 8.4 7.9 7.4 7.5 Net Natural Gas Imports 16.7 16.0 15.9 15.8 15.8 15.4

160

EIA - Supplement Tables to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8 8 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800. Table 5. South Atlantic Consumption & Prices by Sector & Census Division. Need help, contact the National Energy Information Center at 202-586-8800.

Note: This page contains sample records for the topic "tables energy usage" 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

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

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

162

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 ...

163

EIA - Annual Energy Outlook (AEO) 2012 Data Tables  

Gasoline and Diesel Fuel Update (EIA)

2 2 Release Date: June 25, 2012 | Next Early Release Date: December 5, 2012 | Report Number: DOE/EIA-0383(2012) Overview Data Reference Case Side Cases Interactive Table Viewer Topics Source Oil/Liquids Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand Other Emissions Prices Macroeconomic International Efficiency Publication Chapter Executive Summary Market Trends Issues in Focus Legislation & Regulations Comparison Appendices View All Filter By Source Oil Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Other Topics Emissions Prices Macroeconomic International Data TablesAll Tables Reference case summary & detailed tables... + EXPAND ALL Summary Case Tables Additional Formats

164

Energy Information Administration - Energy Efficiency-table 8b.  

Gasoline and Diesel Fuel Update (EIA)

> Table 8b > Table 8b Table 8b. Expenditures for Purchased Energy per Ton of Steel, 1998, 2002, and 2006 (constant 2000 dollars 1per ton) MECS Survey Years Iron and Steel Mills (NAICS2331111) 19983 20023 20063 Total4 58.8 78.1 71.4 Electricity 16.6 24.7 18.9 Natural Gas 13.5 20.8 25.1 Coal 10.2 12.4 12.4 Residual Fuel 0.6 0.0 0.9 Coke and Breeze 16.6 18.3 12.3 Notes:1. Deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

165

Supplement Tables to the Annual Energy Outlook - Errata  

Gasoline and Diesel Fuel Update (EIA)

2003 2003 There were two corrections to Table 117 in the Annual Energy Outlook 2003 Supplemental Tables: 1. The Total rows for all three table sections (Crude Oil, Light Refined Products, and Heavy Refined Products) were adjusted to accurately reflect the summation of the regions listed in the section. (Change made on 3/20/2003) 2. The final column, representing the growth rate from 2001 to 2025, for the Heavy Refined Products section was corrected. (Change made on 3/20/2003) 3. The regional sulfur dioxide emissions in the Annual Energy Outlook 2003 supplemental tables 60-72 were updated. Previously, this row in each table had contained the national total. (Change made on 4/7/03) 4. Supplement tables 60-73 were updated to correct Fuel Consumption for Petroleum, Natural Gas,

166

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Utah" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

167

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Iowa" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

168

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "Ohio" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2...

169

Table 5. Electric Power Industry Generation by Primary Energy...  

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

"Table 5. Electric Power Industry Generation by Primary Energy Source, 1990 Through 2010 (Megawatthours)" "New York" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,19...

170

Provide a seat at the table | ENERGY STAR  

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

Engage occupants Provide a seat at the table Share energy goals and progress Identify energy-saving actions Spread the word about how to help Give incentives and recognition...

171

"Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"  

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

5 Space Heating Usage Indicators by U.S. Census Region, 2005" 5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have But Do Not Use Equipment",0.8,"N","N","Q",0.6 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

172

"Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"  

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

5 Space Heating Usage Indicators by Urban/Rural Location, 2005" 5 Space Heating Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating Usage Indicators",,"City","Town","Suburbs","Rural" "Total U.S. Housing Units",111.1,47.1,19,22.7,22.3 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.2,"Q" "Have Space Heating Equipment",109.8,46.3,18.9,22.5,22.1 "Use Space Heating Equipment",109.1,45.6,18.8,22.5,22.1 "Have But Do Not Use Equipment",0.8,0.7,"Q","N","N" "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

173

"Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"  

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

5 Space Heating Usage Indicators by Midwest Census Region, 2005" 5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N" "Have Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Space Heating Equipment",109.1,25.6,17.7,7.9 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

174

"Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"  

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

5 Space Heating Usage Indicators by Northeast Census Region, 2005" 5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q" "Have Space Heating Equipment",109.8,20.5,15.1,5.4 "Use Space Heating Equipment",109.1,20.5,15.1,5.4 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

175

"Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"  

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

5 Space Heating Usage Indicators by Four Most Populated States, 2005" 5 Space Heating Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Space Heating Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Space Heating Equipment",109.8,7.1,6.8,7.9,11.9 "Use Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have But Do Not Use Equipment",0.8,"N","Q","N",0.5 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

176

Reducing Energy Usage of NULL Convention Logic Circuits using NULL Cycle Reduction  

E-Print Network (OSTI)

in approximately 25% overall lower energy usage. Keywords: asynchronous circuits; NULL Convention Logic (NCL); NULLReducing Energy Usage of NULL Convention Logic Circuits using NULL Cycle Reduction Combined with Supply Voltage Scaling Brett Sparkman and Scott C. Smith Department of Electrical Engineering, University

Smith, Scott C.

177

Precision Flow Table | Open Energy Information  

Open Energy Info (EERE)

Table Table Jump to: navigation, search Basic Specifications Facility Name Flow Table Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Flow Table Length(m) 2.4 Beam(m) 1.2 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities None Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None Available Sensors Flow, Pressure Range(psi), Turbulence, Velocity, Wave Probe Data Generation Capability Real-Time No Test Services Test Services Yes Past Pertinent Test Experience Users are District Engineers, Planners, and Engineering Consultants

178

Usage of Appliances in U - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Households Usage of Appliances in 1997. Household PCs by Year. The number of personal computers (PCs) in U.S. households has risen from zero in 1976, when the ...

179

Table  

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

Table 295: Muons in water as calc from steam to check code ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55509 1.000 71.6 0.44251 3.0000 0.2000 2.0000 3.5017 0.00 T p...

180

Advanced Vehicle Technologies Awards Table | Department of Energy  

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

Vehicle Technologies Awards Table Vehicle Technologies Awards Table Advanced Vehicle Technologies Awards Table The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project. The sub-categories of the table include: Advanced fuels and lubricants Light-weighting materials Demonstration Project for a Multi-Material Light-Weight Prototype Vehicle Advanced cells and design technology for electric drive batteries Advanced power electronics and electric motor technology Solid State Thermoelectric Energy Conversion Devices Fleet Efficiency Advanced Vehicle Testing and Evaluation Microsoft Word - VTP $175 Advanced Vehicle Tech project descriptions draft v5 8-2-11 More Documents & Publications Advanced Vehicle Technologies Awards advanced vehicle technologies awards table

Note: This page contains sample records for the topic "tables energy usage" 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

Table 1a. U.S. Commercial Buildings Site Energy Consumption b  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 1a

182

"Table HC8.12 Home Electronics Usage Indicators by Urban/Rural Location, 2005"  

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

2 Home Electronics Usage Indicators by Urban/Rural Location, 2005" 2 Home Electronics Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Electronics Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Personal Computers" "Do Not Use a Personal Computer",35.5,16.9,6.5,4.6,7.6 "Use a Personal Computer",75.6,30.3,12.5,18.1,14.7 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,22.9,9.8,14.1,11.9 "Laptop Model",16.9,7.4,2.7,4,2.9 "Hours Turned on Per Week" "Less than 2 Hours",13.6,5.7,1.8,2.9,3.2

183

"Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Northeast Census Region, 2005" 2 Home Electronics Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a Personal Computer",75.6,13.7,9.8,3.9 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,10.4,7.3,3.1 "Laptop Model",16.9,3.3,2.6,0.7 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.4,1.8,0.6

184

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" 7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Cooling Equipment",93.3,16.5,12.8,3.8 "Use Cooling Equipment",91.4,16.3,12.6,3.7 "Have Equipment But Do Not Use it",1.9,0.3,"Q","Q" "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7

185

"Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"  

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

7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" 7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Air Conditioning Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Cooling Equipment",17.8,1.8,"Q","Q",4.9 "Have Cooling Equipment",93.3,5.3,7,7.8,7.2 "Use Cooling Equipment",91.4,5.3,7,7.7,6.6 "Have Equipment But Do Not Use it",1.9,"Q","N","Q",0.6 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,1.1,6.4,6.4,5.4

186

"Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"  

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

0 Home Appliances Usage Indicators by Four Most Populated States, 2005" 0 Home Appliances Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Home Appliances Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,0.6,0.5,0.8,1.4 "2 Times A Day",24.6,1.4,1.5,2,3.1 "Once a Day",42.3,2.4,3,2.7,4.1 "A Few Times Each Week",27.2,2.1,1.7,1.7,2.5 "About Once a Week",3.9,0.3,"Q",0.4,0.6 "Less Than Once a Week",4.1,"Q","Q",0.3,0.4

187

"Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Midwest Census Region, 2005" 2 Home Electronics Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use a Personal Computer",75.6,17.5,12.1,5.4 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,14.1,10,4 "Laptop Model",16.9,3.4,2.1,1.3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,3.4,2.5,0.9

188

"Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" 7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling Equipment",91.4,16.3,23.4,38.9,12.9 "Have Equipment But Do Not Use it",1.9,0.3,"Q",0.5,1 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,17.3,32.1,10.5 "Without a Heat Pump",53.5,5.5,16.2,23.2,8.7

189

"Table HC3.13 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005"  

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

3 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005" 3 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Lighting Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,65,54.3,3.3,1.5,1.6,4.4 "1.",28.6,17.9,14,0.9,0.6,0.7,1.7

190

"Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"  

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

0 Home Appliances Usage Indicators by South Census Region, 2005" 0 Home Appliances Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3,1.6,0.3,1.1 "2 Times A Day",24.6,8.3,4.2,1.3,2.7 "Once a Day",42.3,15,8.1,2.7,4.2 "A Few Times Each Week",27.2,10.9,6,1.8,3.1 "About Once a Week",3.9,1.6,0.7,0.4,0.5

191

"Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"  

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

2 Home Electronics Usage Indicators by West Census Region, 2005" 2 Home Electronics Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Electronics Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal Computer",75.6,17.8,5.3,12.5 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,13.7,4.2,9.5 "Laptop Model",16.9,4.1,1.1,3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.9,0.9,2 "2 to 15 Hours",29.1,6.6,2,4.6

192

"Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"  

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

0 Home Appliances Usage Indicators by West Census Region, 2005" 0 Home Appliances Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.6,0.7,1.9 "2 Times A Day",24.6,6.6,2,4.6 "Once a Day",42.3,8.8,2.9,5.8 "A Few Times Each Week",27.2,4.7,1.5,3.1 "About Once a Week",3.9,0.7,"Q",0.6 "Less Than Once a Week",4.1,0.7,0.3,0.4 "No Hot Meals Cooked",0.9,0.2,"Q","Q"

193

"Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by South Census Region, 2005" 7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have Cooling Equipment",93.3,39.3,20.9,6.7,11.8 "Use Cooling Equipment",91.4,38.9,20.7,6.6,11.7 "Have Equipment But Do Not Use it",1.9,0.5,"Q","Q","Q" "Type of Air-Conditioning Equipment1, 2"

194

"Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005"  

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

0 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005" 0 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3.4,1,0.4,0.6,1.2,"Q" "2 Times A Day",24.6,8.6,2.3,1,1.6,3.5,0.2

195

"Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"  

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

5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" 5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,33,8,3.4,5.9,14.4,1.2 "Do Not Have Heating Equipment",1.2,0.6,"Q","Q","Q",0.3,"Q" "Have Space Heating Equipment",109.8,32.3,8,3.3,5.8,14.1,1.1

196

"Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"  

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

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

197

"Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005"  

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

7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005" 7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Air Conditioning Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Cooling Equipment",17.8,11.3,9.3,0.6,"Q",0.4,0.9 "Have Cooling Equipment",93.3,66.8,54.7,3.6,1.7,1.9,4.8 "Use Cooling Equipment",91.4,65.8,54,3.6,1.7,1.9,4.7

198

"Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"  

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

0 Home Appliances Usage Indicators by Northeast Census Region, 2005" 0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census Division" ,,"Total Northeast" "Home Appliances Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1,0.2 "2 Times A Day",24.6,4,2.7,1.2 "Once a Day",42.3,7.9,5.4,2.5 "A Few Times Each Week",27.2,6,4.8,1.2 "About Once a Week",3.9,0.6,0.5,"Q" "Less Than Once a Week",4.1,0.6,0.4,"Q"

199

EIA-Annual Energy Outlook 2010 - Low Oil PriceTables  

Gasoline and Diesel Fuel Update (EIA)

Oil Price Tables (2007-2035) Oil Price Tables (2007-2035) Annual Energy Outlook 2010 Main Low Oil Price Tables (2007- 2035) Table Title Formats Summary Low Oil Price Case Tables PDF Gif Year-by-Year Low Oil Price Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif Table 9. Electricity Generating Capacity

200

Buildings and Energy in the 80's -- Publication and Tables  

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

Publication and Tables Publication and Tables Publication and Tables Total Residential and Commercial Primary Consumption by Type of Building Figure on total residential and commercial primary consumption by type of building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980 Residential Energy Consumption Survey and Form EIA-871 of the 1989 Commercial Buildings Energy Consumption Survey. Divider 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. Divider Bar You have the option of downloading the entire report or selected sections of the report. Full Report (without tables) - Buildings and Energy in the 80's (file size .93 MB) pages: 104

Note: This page contains sample records for the topic "tables energy usage" 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

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

POWER PLANT WATER USAGE AND LOSS STUDY POWER PLANT WATER USAGE AND LOSS STUDY August 2005 Revised May 2007 Prepared for: The United States Department of Energy National Energy Technology Laboratory DOE Gasification Technology Manager: Gary J. Stiegel DOE Project Manager: James R. Longanbach Project Manager: Michael D. Rutkowski Principal Investigators: Michael G. Klett Norma J. Kuehn Ronald L. Schoff Vladimir Vaysman Jay S. White Power Plant Water Usage and Loss Study i August 2005 TABLE OF CONTENTS TABLE OF CONTENTS ...................................................................................................................... I LIST OF TABLES.............................................................................................................................III

202

EIA-Annual Energy Outlook 2009 -Year-by-Year Reference Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Tables (2006-2030) Reference Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 Year-by-Year Reference Case Tables (2006-2030) Table Title Formats Summary Reference Case Tables PDF GIF Year-by-Year Reference Case Tables Year-by-Year Reference Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption

203

Water Usage Law, Major Water Users (Missouri) | Department of Energy  

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

Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Water Buying & Making Electricity Program Info State Missouri Program Type Environmental Regulations Provider Missouri Department of Natural Resources Any water user with the capability to withdraw or divert 100,000 gallons or more per day from any stream, river, lake, well, spring or other water source must register and file for a permit for water withdrawal and diversion from the Department of Natural Resources. Additionally, no major

204

Supplement Tables to the Annual Energy Outlook 2005  

Annual Energy Outlook 2012 (EIA)

Table 1. Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless Otherwise Noted) New England 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014...

205

Table PT1. Energy Production Estimates in Physical Units, Michigan ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Michigan, 1960 - 2011 1960 0 20,790 15,899 NA 1961 0 27,697 18,901 NA 1962 0 28,987 17,114 NA

206

Annual Energy Outlook 2006 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer Spreadsheets are provided...

207

Annual Energy Outlook 2006 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer Spreadsheets are provided...

208

Tables.............................................................  

E-Print Network (OSTI)

The work described in this study was supported by the Assistant Secretary of Energy Efficiency and Renewable Energy,

Evan Jones; Joseph Eto

1997-01-01T23:59:59.000Z

209

Tables.............................................................  

E-Print Network (OSTI)

The work described in this study was funded by the Assistant Secretary of Energy Efficiency and Renewable Energy,

Charles Goldman; Willett Kempton Anita Eide; Maithili Iyer; Mindi Farber; Richard Scheer

1996-01-01T23:59:59.000Z

210

Buildings Energy Data Book: 8.5 Federal Government Water Usage  

Buildings Energy Data Book (EERE)

5 Federal Government Water Usage 5 Federal Government Water Usage March 2012 8.5.1 Federal Water Consumption Intensity and Costs (Millions of Gallons) Agency Total Source(s): 164,382.9 536,301.9 3,129,134.9 52.5 FEMP, Annual Report to Congress on Federal Government Energy Management and Conservation Programs FY 2007, Table 9, p. 26, Jan. 2010. HUD 21.8 139.1 1,432.0 15.2 RRB 5.5 19.5 346.9 15.9 SSA 125.0 617.1 9,262.0 13.5 Archives 107.9 552.9 4,062.0 26.6 State 169.0 762.2 4,476.7 37.8 EPA 168.1 1,196.0 3,723.3 45.2 Treasury 431.1 1,795.5 12,049.6 35.8 Commerce 352.1 1,571.2 13,627.9 25.8 TVA 733.0 2,248.2 27,969.8 26.2 DOT 464.1 3,002.8 25,722.1 18.0 DHS 1,522.8 12,442.9 45,556.7 33.4 Labor 1,029.0 4,816.3 20,335.8 50.6 NASA 2,036.5 5,085.8 38,896.2 52.4 HHS 1,799.7 11,814.7 31,338.4 57.4 GSA 2,651.2 18,104.9 176,414.5 15.0 USDA 2,150.9 4,876.0 57,480.9 37.4 USPS

211

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

SciTech Connect

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

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

1980-10-01T23:59:59.000Z

212

Annual Energy Outlook 2009 - Year-by-Year High Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

High Macroeconomic Growth Case Tables (2006-2030) High Macroeconomic Growth Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Year-by-Year High Economic Growth Case Tables (2006-2030) Table Title Formats Summary High Economic Growth Case Tables PDF GIF High Economic Growth Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions

213

Forecasting multi-appliance usage for smart home energy management  

Science Conference Proceedings (OSTI)

We address the problem of forecasting the usage of multiple electrical appliances by domestic users, with the aim of providing suggestions about the best time to run appliances in order to reduce carbon emissions and save money (assuming time-of-use ...

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-08-01T23:59:59.000Z

214

Energy Information Administration - Energy Efficiency-Table 5b. Consumption  

Gasoline and Diesel Fuel Update (EIA)

b b Page Last Modified: June 2010 Table 5b. Consumption of Energy for All Purposes (First Use) per Ton of Steel, 1998, 2002, and 2006 (Million Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 19982 20022 20062 Total 3 17 16 13 Net Electricity 4 2 2 2 Natural Gas 5 5 4 Coal 7 6 4 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. Denominators represent the entire steel industry, not those based mainly on electric, natural gas, residual fuel oil or coal.

215

"Table HC8.10 Home Appliances Usage Indicators by Urban/Rural Location, 2005"  

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

0 Home Appliances Usage Indicators by Urban/Rural Location, 2005" 0 Home Appliances Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Appliances Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3.7,1.6,1.4,1.5 "2 Times A Day",24.6,10.8,4.1,4.3,5.5 "Once a Day",42.3,17,7.2,8.7,9.3 "A Few Times Each Week",27.2,11.4,4.7,6.4,4.8 "About Once a Week",3.9,1.7,0.6,0.9,0.8 "Less Than Once a Week",4.1,2.2,0.6,0.8,0.5 "No Hot Meals Cooked",0.9,0.4,"Q","Q","Q"

216

"Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"  

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

0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" 0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1.4,3,2.6 "2 Times A Day",24.6,4,5.8,8.3,6.6 "Once a Day",42.3,7.9,10.7,15,8.8 "A Few Times Each Week",27.2,6,5.6,10.9,4.7 "About Once a Week",3.9,0.6,0.9,1.6,0.7 "Less Than Once a Week",4.1,0.6,1.1,1.7,0.7 "No Hot Meals Cooked",0.9,0.3,"Q","Q",0.2

217

Annual Report to Congress on Federal Government Energy Management...  

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

by Federal Agencies . . . . . . . . . . . . . . . A-2 Table 1-B Total Site-Delivered Energy Consumption by Federal Agencies . . . . . . . . . A-3 Table 2 Federal Petroleum Usage...

218

FY 2014 Budget Request Summary Table | Department of Energy  

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

Summary Table FY 2014 Budget Request Summary Table Summary Table by Appropriations Summary Table by Organization More Documents & Publications FY 2014 Budget Justification Details...

219

Energy Information Administration - Energy Efficiency-Table 4.  

Gasoline and Diesel Fuel Update (EIA)

4 4 Table 4. Expenditures for Purchased Energy 1998, 2002, and 2006 (million constant 2000 U.S. dollars1) MECS Survey Years Iron and Steel Mills (NAICS 2 331111) 1998 2002 2006 Total3 5,601 6,241 5,806 Electricity 1,580 1,971 1,537 Natural Gas 1,287 1,659 2,037 Coal 971 994 1,010 Residual Fuel 60 3 75 Coke and Breeze 1,584 1,462 999 Notes: 1. Deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. 'Total' is the sum of all of the listed energy sources, including wood waste, hydrogen, and waste oils and tars.

220

EIA Energy Efficiency-Table 1a. Table 1a. Consumption of Site Energy For  

Gasoline and Diesel Fuel Update (EIA)

a a Page Last Modified: May 2010 Table 1a. Consumption of Energy (Site Energy) for All Purposes (First Use) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 1,044 1,123 1,186 312 Beverage and Tobacco Products 108 105 107 313 Textile Mills 256 207 178 314 Textile Product Mills 50 60 72 315 Apparel 48 30 14 316 Leather and Allied Products 8 7 3 321 Wood Products 509 377 451 322 Paper 2,747 2,363 2,354 323 Printing and Related Support 98 98 85 324 Petroleum and Coal Products 7,320 6,799 6,864 325 Chemicals 6,064 6,465 5,149 326 Plastics and Rubber Products 328 351 337 327 Nonmetallic Mineral Products 979 1,059 1,114 331 Primary Metals 2,560 2,120 1,736

Note: This page contains sample records for the topic "tables energy usage" 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

Recommending energy tariffs and load shifting based on smart household usage profiling  

Science Conference Proceedings (OSTI)

We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, ... Keywords: demand response, energy tariffs, load shifting, personalization, recommender systems, smart grid

Joel E. Fischer; Sarvapali D. Ramchurn; Michael Osborne; Oliver Parson; Trung Dong Huynh; Muddasser Alam; Nadia Pantidi; Stuart Moran; Khaled Bachour; Steve Reece; Enrico Costanza; Tom Rodden; Nicholas R. Jennings

2013-03-01T23:59:59.000Z

222

EIA Energy Efficiency:Table 5c. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 5c. U.S. Commercial Buildings Energy Intensity Using Site Energy 1 by Census Region and Principal Building Activity, 1992-1999 (Million Btu per Worker)

223

EIA Energy Efficiency:Table 8c. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 8c. U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Primary Energy 1 by Census Region and Principal Building Activity, 1992, 1995, and 2003

224

EIA Energy Efficiency:Table 7a. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 7a. U.S. Commercial Buildings Energy Intensity Using Primary Energy 1 by Census Region and Principal Building Activity, 1992-2003

225

EIA Energy Efficiency:Table 8b. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 8b. U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Primary Energy 1 by Census Region and Principal Building ...

226

EIA Energy Efficiency:Table 5a. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 5a. U.S. Commercial Buildings Energy Intensity Using Site Energy 1 by Census Region and Principal Building Activity, 1992-2003 (Million Btu per Building)

227

EIA Energy Efficiency:Table 6c. U.S. Commercial Buildings Energy ...  

U.S. Energy Information Administration (EIA)

Table 6c. U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Site Energy 1 by Census Region and Principal Building Activity, 1992, 1995, and 2003

228

Energy intensity (Table E.1g)  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... E.1g World Energy Intensity--Total Primary Energy Consumption per Dollar of Gross Domestic

229

Peetz Table Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Scale Wind Facility Status In Service Owner Caithness Developer EnXco Energy Purchaser Xcel Energy Location Logan County CO Coordinates 40.954, -103.143 Loading map......

230

High-Intensity Discharge Industrial Lighting Design Strategies for the Minimization of Energy Usage and Life-Cycle Cost.  

E-Print Network (OSTI)

??Worldwide, the electrical energy consumed by artificial lighting is second only to the amount consumed by electric machinery. Of the energy usage attributed to lighting (more)

Flory IV, Isaac L.

2008-01-01T23:59:59.000Z

231

Table 8.4c Consumption for Electricity Generation by Energy ...  

U.S. Energy Information Administration (EIA)

Table 8.4c Consumption for Electricity Generation by Energy Source: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.4a; Trillion ...

232

Table 8.4b Consumption for Electricity Generation by Energy ...  

U.S. Energy Information Administration (EIA)

Table 8.4b Consumption for Electricity Generation by Energy Source: Electric Power Sector, 1949-2011 (Subset of Table 8.4a; Trillion Btu)

233

Energy Information Administration - Energy Efficiency-Table 5a. Consumption  

Gasoline and Diesel Fuel Update (EIA)

5a 5a Page Last Modified: June 2010 Table 5a. Consumption of Energy for All Purposes (First Use) per Value of Production, 1998, 2002, and 2006 (1000 Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 1998 3 2002 3 2006 3 Total 4 30 27 17 Net Electricity5 3 4 3 Natural Gas 9 9 6 Coal 13 10 6 Notes:1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas or coal.

234

Buildings and Energy in the 80's -- Detailed Tables  

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

Detailed Tables Detailed Tables Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980 Residential Energy Consumption Survey and Form EIA-871 of the 1989 Commercial Buildings Energy Consumption Survey. This report introduces several innovations in energy data reporting that complement the previously published triennial reports of the Residential Energy Consumption Survey (RECS) and the Commercial Buildings Energy Consumption Survey (CBECS). (1) Both residential and commercial sector buildings data are presented together in the report. Common units of analysis, the residential or commercial building and floorspace, are used to facilitate comparison.17 (2) Unlike the triennial RECS and CBECS that

235

cubic feet) Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

26 U.S. Energy 9/27/2013 9:41:39 AM Information Administration ... State Total December November October September August July

236

Household Electricity Usage Form - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

2005 Residential Energy Consumption Survey. Sponsored by the Energy Information Administration . U.S. Department of Energy . Washington, DC 20585 . Form EIA-457E ...

237

Department of Energy Federal Acquisition Regulation Clause Usage Guide  

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

Type of Contract: FP SUP Fixed-Price Supply CR SUP Cost-Reimbursement Supply FP SVC Fixed-Price Service CR SVC Cost Reimbursement Service FP CON Fixed-Price Construction CR CON Cost Reimbursement Construction T&M LH Time & Material, Labor Hours FP A-E Fixed Price Architect-Engineer CR A-E Cost Reimbursement Architect-Engineer Comm. Items Commercial Items M&O Management & Operating Other Fac. Mgmt. Other Facility Management SAP Simplified Acquisition Procedures Clause Usage R Required A Required When Applicable NA Not Applicable Provision or Clause (Click on clause number to see its text and prescription FP Sup. CR Sup. FP Serv. Cost Serv. FP Cons. Cost Cons. T&M. L.H. FP A- E Cost A-E Com. Items. M&O Other

238

Table  

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

0.039 3.670 Muon critical energy 140. GeV 1.401 10 5 1.849 0.986 1.242 0.047 4.126 5.456 10 4 200. GeV 2.001 10 5 1.877 1.477 1.898 0.067 5.321 6.734 10 4 300. GeV...

239

Supplemental Tables to the Annual Energy Outlook  

Annual Energy Outlook 2012 (EIA)

Btu, unless otherwise noted) New England 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Energy Consumption Residential Distillate Fuel 0.313 0.330...

240

Energy Information Administration (EIA) - Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

6 6 For Further Information . . . The Annual Energy Outlook 2006 (AEO2006) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.does.gov, 202/586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Acting Director, Oil and Gas Division and Senior Technical Advisor; and Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division. For ordering information and questions on other energy statistics available from EIA, please contact EIA's National Energy Information Center. Addresses, telephone numbers, and hours are as follows:

Note: This page contains sample records for the topic "tables energy usage" 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

Supplemental Tables to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

; J a n u a r y 2 0 0 9 ; J a n u a r y 2 0 0 9 S u p p l e me mt a l T a b l e s Table 92. Domestic Refinery Distillation Base Capacity, and Expansion (million barrels per day) 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 PAD District I Base Capacity 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 Capacity Additions 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Total Capacity 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 PAD District II Base Capacity 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 Capacity Additions 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Total Capacity 3.6 3.6 3.6 3.6 3.7 3.7 3.7 3.7 3.7 3.7 3.7 3.7 3.7 PAD District III Base Capacity 8.1 8.3 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 8.4 Capacity Additions 0.0 0.0 0.0 0.1 0.3 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 Total Capacity 8.1 8.3 8.4 8.4 8.6 9.0 9.0 9.0 9.0 9.0

242

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,," ",," " " "," ",,,,,,,,,,,,,,,,,"RSE" "NAICS"," ",,,,,,,,,,,,,,,,,"Row"

243

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" 1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors","RSE"

244

Table PT1. Energy Production Estimates in Physical Units, Ohio ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Ohio, 1960 - 2011 1960 33,957 36,074 5,405 NA 1961 32,226 36,423 5,639 NA 1962 34,125 36,747 5,835 NA

245

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma, 1960 - 2011 1960 33.9 902.0 1,118.9 0.0 NA 17.8 17.8 2,072.6 1961 26.1 976.9 1,119.9 0.0 NA 20.2 20 ...

246

Table PT2. Energy Production Estimates in Trillion Btu, California ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, California, 1960 - 2011 1960 0.0 589.7 1,771.0 (s) NA 270.2 270.2 2,630.9 1961 0.0 633.8 1,737.7 0.1 NA 248.2 ...

247

Table PT2. Energy Production Estimates in Trillion Btu, Delaware ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Delaware, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 5.0 5.0 5.0 1961 0.0 0.0 0.0 0.0 NA 5.1 5.1 5.1

248

Table PT2. Energy Production Estimates in Trillion Btu, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Texas, 1960 - 2011 1960 26.4 6,610.7 5,379.4 0.0 NA 50.2 50.2 12,066.6 1961 26.5 6,690.2 5,447.3 0.0 NA 52.0 ...

249

Table PT2. Energy Production Estimates in Trillion Btu, Indiana ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Indiana, 1960 - 2011 1960 346.3 0.3 69.9 0.0 NA 24.6 24.6 441.1 1961 336.7 0.4 66.7 0.0 NA 24.2 24.2 428.0

250

Table PT2. Energy Production Estimates in Trillion Btu, Oregon ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oregon, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 190.5 190.5 190.5 1961 0.0 0.0 0.0 0.0 NA 188.9 188.9 188.9

251

Table PT2. Energy Production Estimates in Trillion Btu, Arizona ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Arizona, 1960 - 2011 1960 0.1 0.0 0.4 0.0 NA 36.2 36.2 36.7 1961 0.0 0.0 0.4 0.0 NA 35.1 35.1 35.5

252

Table PT1. Energy Production Estimates in Physical Units, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Texas, 1960 - 2011 1960 2,098 5,892,704 927,479 NA 1961 2,108 5,963,605 939,191 NA 1962 2,054 6,080,210 ...

253

Energy Information Administration (EIA) - Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

7 7 For Further Information . . . The Annual Energy Outlook 2007 (AEO2007) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; A. Michael Schaal (michael.schaal@eia.doe.gov, 202/586-5590), Director, Oil and Gas Division; Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Technical Advisor.

254

Table 22. Energy Intensity, Projected vs. Actual  

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

Energy Intensity, Projected vs. Actual" Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / real GDP in billion 2005 chained dollars)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",11.24893441,11.08565002,10.98332766,10.82852279,10.67400621,10.54170176,10.39583203,10.27184573,10.14478673,10.02575883,9.910410202,9.810812106,9.69894802,9.599821783,9.486985399,9.394733753,9.303329725,9.221322623 "AEO 1995",,10.86137373,10.75116461,10.60467959,10.42268977,10.28668187,10.14461664,10.01081222,9.883759026,9.759022105,9.627404949,9.513643295,9.400418762,9.311729546,9.226142899,9.147374752,9.071102491,8.99599906 "AEO 1996",,,10.71047701,10.59846153,10.43655044,10.27812088,10.12746866,9.9694713,9.824165152,9.714832565,9.621874334,9.532324916,9.428169355,9.32931308,9.232716414,9.170931044,9.086870061,9.019963901,8.945602337

255

Projected Partner Funding Table: Wind Power | Department of Energy  

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

Projected Partner Funding Table: Wind Power Projected Partner Funding Table: Wind Power This is a table detailing projected partner funding for several wind power projects....

256

Energy Conservation Through Water Usage Reduction in the Semiconductor Industry  

E-Print Network (OSTI)

The semiconductor industry uses large amounts of Ultrapure Water (UPW) in the wafer fabrication process. Producing UPW involves energy-intensive operations, such as membrane separations, ultraviolet lamps, and continuous pumping and recirculation systems. Indirect energy costs can also be allocated to steps in the UPW process. Motorola recognizes that by reducing UPW consumption, energy savings will result. Energy conservation can also be achieved by improving the UPW generation process itself and by recycling or reclaiming UPW and other water streams.

Mendicino, L.; McCormack, K.; Gibson, S.; Patton, B.; Lyon, D.; Covington, J.

1998-04-01T23:59:59.000Z

257

Table 23. Energy Intensity, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual (quadrillion Btu / $Billion Nominal GDP) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 20.1 18.5 16.9 15.5 14.4 13.2 AEO 1983 19.9 18.7 17.4 16.2 15.1 14.0 9.5 AEO 1984 20.1 19.0 17.7 16.5 15.5 14.5 10.2 AEO 1985 20.0 19.1 18.0 16.9 15.9 14.7 13.7 12.7 11.8 11.0 10.3 AEO 1986 18.3 17.8 16.8 16.1 15.2 14.3 13.4 12.6 11.7 10.9 10.2 9.5 8.9 8.3 7.8 AEO 1987 17.6 17.0 16.3 15.4 14.5 13.7 12.9 12.1 11.4 8.2 AEO 1989* 16.9 16.2 15.2 14.2 13.3 12.5 11.7 10.9 10.2 9.6 9.0 8.5 8.0 AEO 1990 16.1 15.4 11.7 8.6 6.4 AEO 1991 15.5 14.9 14.2 13.6 13.0 12.5 11.9 11.3 10.8 10.3 9.7 9.2 8.7 8.3 7.9 7.4 7.0 6.7 6.3 6.0 AEO 1992 15.0 14.5 13.9 13.3 12.7 12.1 11.6 11.0 10.5 10.0 9.5 9.0 8.6 8.1 7.7 7.3 6.9 6.6 6.2 AEO 1993 14.7 13.9 13.4 12.8 12.3 11.8 11.2 10.7 10.2 9.6 9.2 8.7 8.3 7.8 7.4 7.1 6.7 6.4

258

Energy Information Administration - Energy Efficiency-table 8b.  

Gasoline and Diesel Fuel Update (EIA)

8a 8a Table 8a. Expenditures for Purchased Energy per Value of Production, 1998, 2002, and 2006 (constant 2000 US cents per dollar) MECS Survey Years Iron and Steel Mills (NAICS1331111) 19982 20022 20062 Total3 10.7 13.0 9.4 Electricity 3.0 4.1 2.5 Natural Gas 2.5 3.4 3.3 Coal 1.9 2.1 1.6 Residual Fuel 0.1 0.0 0.1 Coke and Breeze 3.0 3.0 1.6 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. Deflated by the chain-type price indices for iron and steel mills shipments. 2. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas, coal, residual fuel oil or coke.

259

PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications  

E-Print Network (OSTI)

In this paper, we describe the design and implementation of PowerScope, a tool for profiling energy usage by applications. PowerScope maps energy consumption to program structure, in much the same way that CPU profilers map processor cycles to specific processes and procedures. Our approach combines hardware instrumentation to measure current level with kernel software support to perform statistical sampling of system activity. Postprocessing software maps the sample data to program structure and produces a profile of energy usage by process and procedure. Using PowerScope, we have been able to reduce the energy consumption of an adaptive video playing application by 46%. 1. Introduction Energy is a critical resource for mobile computers [5, 8]. In spite of many improvements in low-power hardware design and battery life, there is now growing awareness that a strategically viable approach to energy management must include higher levels of the system [2]. For example, a network applica...

Jason Flinn; M. Satyanarayanan

1999-01-01T23:59:59.000Z

260

Table 1.2 Primary Energy Production by Source (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review November 2013 5 Table 1.2 Primary Energy Production by Source (Quadrillion Btu)

Note: This page contains sample records for the topic "tables energy usage" 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.
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to obtain the most current and comprehensive results.


261

Table 12.1 Carbon Dioxide Emissions From Energy Consumption by ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review September 2013 159 Table 12.1 Carbon Dioxide Emissions From Energy Consumption by Source

262

Table 1.4a Primary Energy Imports by Source (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

10 U.S. Energy Information Administration / Monthly Energy Review October 2013 Table 1.4a Primary Energy Imports by Source (Quadrillion Btu) Imports

263

Table 1.3 Primary Energy Consumption by Source (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 7 Table 1.3 Primary Energy Consumption by Source (Quadrillion Btu)

264

Table 2.1a Energy Consumption Estimates by Sector, Selected Years ...  

U.S. Energy Information Administration (EIA)

40 U.S. Energy Information Administration / Annual Energy Review 2011 Table 2.1a Energy Consumption Estimates by Sector, Selected Years, 1949-2011

265

Table 1.3 Primary Energy Consumption by Source (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review November 2013 7 Table 1.3 Primary Energy Consumption by Source (Quadrillion Btu)

266

Table 10.1 Renewable Energy Production and Consumption by Source ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review September 2013 137 Table 10.1 Renewable Energy Production and Consumption by Source

267

Table 1.4b Primary Energy Exports by Source and Total Net Imports  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review August 2013 11 Table 1.4b Primary Energy Exports by Source and Total Net Imports

268

Table 1.2 Primary Energy Production by Source (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review August 2013 5 Table 1.2 Primary Energy Production by Source (Quadrillion Btu) Fossil Fuels

269

Table F4. Delivered energy consumption in Canada by end-use sector ...  

U.S. Energy Information Administration (EIA)

228 U.S. Energy Information Administration International Energy Outloo 2013 Appendix F Table F4. Delivered energy consumption in Canada by end-use sector and fuel ...

270

Motor voltage high harmonics influence to efficient energy usage  

Science Conference Proceedings (OSTI)

Analysis of the effect of non-sinusoidal voltages on the three-phase induction motor is presented in the paper. When the induction motors are supplied by a rectangular shape of the voltage inverter with high levels of harmonic voltage (Uh,i ... Keywords: energy efficiency, harmonics, induction motor, non-sinusoidal voltage, power losses

Miloje M. Kostic; Branka B. Kostic

2011-07-01T23:59:59.000Z

271

Motor voltage asymmetry influence to the efficient energy usage  

Science Conference Proceedings (OSTI)

Analysis of the effect of unbalanced voltages on the three-phase induction motor is presented in the paper. Since the unbalanced voltage of 2%, 3.5% and 5% increase in losses could reach, in the same order, the amount of 8%, 25% and 50% of nominal power ... Keywords: asymetry, energy efficiency, induction motor, power losses, standard

Miloje Kostic; Aleksandar Nikolic

2010-07-01T23:59:59.000Z

272

Suitable usage scenarios for trusted Elements of future energy production,  

E-Print Network (OSTI)

. Exactly what the Smart Grid architecture will look like at a national level is still not clear. While multiple smart meters to integrate with the HAN, we prefer to go with an open architecture for WinSmartGridConvergence for the Smart Grid - On the technology opportunities for Future Cyber-Physical Energy

273

Space heating systems in the Northwest: energy usage and cost analysis  

DOE Green Energy (OSTI)

The question of energy usage and cost of providing space heat in the Northwest is discussed. Though space heating needs represents only 18% of the U.S.'s total energy consumption, it nevertheless appears to offer the greatest potential for conservation and near term applications of alternate energy sources. Efficiency and economic feasibility factors are considered in providing for space heating demands. These criteria are presented to establish energy usage, cost effectiveness and beneficial conservation practices for space heating of residential, commercial, and industrial buildings. Four Northwestern cities have been chosen whose wide range of climate conditions are used to formulate the seasonal fuel and capital cost and hence the annual heating cost covering a broad spectrum of heating applications, both the traditional methods, the newer alternate forms of energy, and various methods to achieve more efficient utilization of all types.

Keller, J.G.; Kunze, J.F.

1976-01-01T23:59:59.000Z

274

Space heating systems in the Northwest: energy usage and cost analysis  

SciTech Connect

The question of energy usage and cost of providing space heat in the Northwest is discussed. Though space heating needs represents only 18% of the U.S.'s total energy consumption, it nevertheless appears to offer the greatest potential for conservation and near term applications of alternate energy sources. Efficiency and economic feasibility factors are considered in providing for space heating demands. These criteria are presented to establish energy usage, cost effectiveness and beneficial conservation practices for space heating of residential, commercial, and industrial buildings. Four Northwestern cities have been chosen whose wide range of climate conditions are used to formulate the seasonal fuel and capital cost and hence the annual heating cost covering a broad spectrum of heating applications, both the traditional methods, the newer alternate forms of energy, and various methods to achieve more efficient utilization of all types.

Keller, J.G.; Kunze, J.F.

1976-01-01T23:59:59.000Z

275

usage_household2001.pdf  

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

Usage Indicators Tables Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC6-6a. Usage Indicators by Type of Rented Housing Unit, Million U.S. Households, 2001 5 HC6-7a. Usage Indicators by Four Most Populated States, Million U.S. Households, 2001 5

276

Reducing fuel usage through applications of conservation and solar energy  

Science Conference Proceedings (OSTI)

Solar thermal technology, coupled with aggressive conservation measures, offers the prospect of greatly reducing the dependence of industry on oil and natural gas. The near-term market for solar technology is largely in industrial processes operating at temperatures below 288/sup 0/C (550/sup 0/F). Such process heat can be supplied by the relatively unsophisticated solar equipment available today. The number and diversity of industrial plants using process heat at this temperature allows favorable matches between solar technologies and industrial processes. The problems involved with the installation and maintenance of conservation and solar equipment are similar. Both compete for scarce investment capital, and each complicates industrial operations and increases maintenance requirements. Technological innovations requiring new types of equipment and reducing the temperature requirements of industrial processes favor the introduction of solar hardware. The industrial case studies program at the Solar Energy Research Institute has examined technical, economic, and other problems facing the near-term application of solar thermal technology to provide industrial process heat. The plant engineer is in the front line of any measure to reduce energy consumption or to supplement existing fuel supplies. The conditions most favorable to the integration of solar technology are presented and illustrated with examples from actual industrial plants.

May, E. K.; Hooker, D. W.

1980-04-01T23:59:59.000Z

277

advanced vehicle technologies awards table | Department of Energy  

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

advanced vehicle technologies awards table advanced vehicle technologies awards table Microsoft Word - VTP 175 Advanced Vehicle Tech project descriptions draft v5 8-2-11 More...

278

A study in the application of energy management at a table service restaurant  

SciTech Connect

This paper describes a study of the application of energy management including electric demand limit control in a 6656 ft/sup 2/ table service restaurant located in Minneapolis, which contained 30 tons of rooftop air conditioning, a 74 kW electric dishwasher, and natural gas space heating. Strategies were developed for applying demand-limit and time-of-day controls on rooftop air-conditioning units, refrigeration equipment, ventilation equipment, and a dishwasher electric booster heater. This study was conducted over a one-year period using a week-on/week-off test procedure in which the energy management controls were in operation alternately for one week and then manually disconnected for the following week. This testing method was chosen to reduce the effects of changes in the business operating procedures, changes in the connected electrical loads and irregularities in the climate that tend to distort results based on a year-to-year comparison. Extensive instrumentation was installed to monitor the operation of controlled loads, the impact on the space temperature, the operation of overrides and limit controls on critical loads, peak electric demand, and total energy consumption. The study demonstrated that electric demand charges were reduced 19.7% and that electric energy usage charges were reduced 8.7%. The total annual savings was $2440 which represented a 13% savings on the total energy bill and a 48% return-on-investment on a system installed cost of $5083.

Balmer, A.; Nodolf, K.M.

1985-01-01T23:59:59.000Z

279

Table 7. Carbon intensity of the energy supply by state (2000...  

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

"Table 7. Carbon intensity of the energy supply by state (2000 - 2010)" "kilograms of energy-related carbon dioxide per million Btu" ,,,"Change" ,,,"2000 to 2010"...

280

Table 3.3a Petroleum Trade: Overview - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 41 Table 3.3a Petroleum Trade: Overview Imports From Persian Gulfa Imports

Note: This page contains sample records for the topic "tables energy usage" 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

EIA Energy Efficiency:Table 8a. U.S. Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Table 8a. U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Primary Energy 1 by Census Region and Principal Building Activity, 1992, ...

282

Table 3.3a Petroleum Trade: Overview - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review November 2013 41 Table 3.3a Petroleum Trade: Overview Imports From Persian Gulfa

283

Table 11.5b Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 11.5b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a ...

284

Table 11.5a Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and ...

285

OE Budget Control Table TerriL.pdf | Department of Energy  

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

OE Budget Control Table TerriL.pdf OE Budget Control Table TerriL.pdf Office of Electricity Delivery and Energy Reliability. The transition team asked for a detailed breakdown of...

286

Table 8.4a Consumption for Electricity Generation by Energy Source ...  

U.S. Energy Information Administration (EIA)

8 Solar thermal and photovoltaic (PV) energy. Sources: - 1949-1988-Table 8.4b for electric power sector, and Tables 8.1 and A6 for industrial sector.

287

Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590 9,609 2,929 6,260 5,014 2,854 422 9,945 3,762 3112 Grain and Oilseed Milling 580 59 475 46 300 236 Q 154 398 28 446 95 Q 45 442 92 311221 Wet Corn Milling 47 9 34 4 36 W W 27 15 6 38 3 6 8 24 16 31131 Sugar Manufacturing 77

288

Energy Information Administration - Energy Efficiency-table 7b.  

Gasoline and Diesel Fuel Update (EIA)

b b Table 7b. Offsite-Produced Fuel Consumption per Ton of Steel, 1998, 2002, and 2006 (1000 Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1331111) 1998 2 2002 3 20063 Total NA 11,886 9,210 Electricity NA 2,315 2,152 Natural Gas NA 4,855 4,009 Coal NA 450 172 Residual Fuel NA 13 234 Coke and Breeze NA 3,916 2,287 Notes:1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. 1998 data unavailable due to disclosure avoidance procedures in place at the time.

289

Label Building Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS)  

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

Natural Gas Usage Form Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This completed questionnaire is due by 3. Data reported on this questionnaire are for the entire building identified in the label to the right. 4. Data may be submitted directly on this questionnaire or in any other format, such as a computer-generated listing, which provides the same i nformation and is conve nient for y our company. a. You may submit a single report for the entire building, or if it i s easier, a separate report for each of several accounts in the building. These will then be aggregated by the survey contractor. b. If you are concerned about your individual account information, you may choose to mark

290

China Energy Databook -- User Guide and Documentation, Version 7.0  

E-Print Network (OSTI)

Source (Total Primary Energy) Table 2A.3.1. Net Coal UsageSource (Total Primary Energy) Table 2A.3.1. Net Coal Usagetotal. Chapter 2, Energy Production China Energy Databook 7.0 Table 2A.3.1 Net Coal Usage

Fridley, Ed., David

2008-01-01T23:59:59.000Z

291

Table 5c. Residential Energy Intensity Using Site Energy by ...  

U.S. Energy Information Administration (EIA)

51. 52. 58. 42 . 37: ... Except for 1997, estimates include all the floor area of the housing unit that was enclosed from the weather. Sources: Energy ...

292

Table A4. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" "...

293

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

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

"Table A36. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Fuel Type, Industry Group, Selected Industries, and End Use, 1991:" " Part 2" " (Estimates in...

294

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

"Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in...

295

Table 11.5c Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Notes: - Data are for emissions from energy consumption for electricity generation and useful thermal output. - See Table 11.5b for electric power sector data.

296

Table 2.1c Commercial Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat ratesee Table A6).

297

Table 1.3 Primary Energy Consumption Estimates by Source, 1949 ...  

U.S. Energy Information Administration (EIA)

Table 1.3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year: Fossil Fuels: Nuclear Electric Power

298

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Fossil Fuels: Nuclear

299

Table 11.2d Carbon Dioxide Emissions From Energy Consumption ...  

U.S. Energy Information Administration (EIA)

2 Carbon dioxide emissions from biomass energy consumption are excluded from total emissions in this table. ... non-combustion use of fossil fuels.

300

Table 11.2a Carbon Dioxide Emissions From Energy Consumption ...  

U.S. Energy Information Administration (EIA)

table. See Note, "Accounting for Carbon Dioxide Emissions From Biomass Energy Combustion," at end of section. R=Revised. P=Preliminary.

Note: This page contains sample records for the topic "tables energy usage" 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

Table 1a. U.S. Commercial Buildings Site Energy Consumption by ...  

U.S. Energy Information Administration (EIA)

3 Laboratory buildings are included in the "Other" category. ... For questions about the "Commercial Buildings Energy Intensity Tables," please contact: Behjat Hojjati

302

Table 10.2c Renewable Energy Consumption: Electric Power Sector ...  

U.S. Energy Information Administration (EIA)

Table 10.2c Renewable Energy Consumption: Electric Power Sector, 1949-2011 ... Through 2000, also includes non-renewable waste (municipal solid waste from

303

Table 11.2b Carbon Dioxide Emissions From Energy Consumption ...  

U.S. Energy Information Administration (EIA)

8 Wood and wood-derived fuels. ... table. See Note, "Accounting for Carbon Dioxide Emissions From Biomass Energy Combustion," at end of section.

304

Table 11.2c Carbon Dioxide Emissions From Energy Consumption ...  

U.S. Energy Information Administration (EIA)

9 Wood and wood-derived fuels. ... table. See Note, "Accounting for Carbon Dioxide Emissions From Biomass Energy Combustion," at end of section.

305

Table 1.1 Primary Energy Overview, 1949-2011 (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

Table 1.1 Primary Energy Overview, 1949-2011 (Quadrillion Btu) Year: Production: Trade: Stock Change and Other 8: Consumption: Fossil Fuels 2

306

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat ratesee Table A6).

307

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:

308

Description of 2003 CBECS Detailed Tables and Categories of Data  

Gasoline and Diesel Fuel Update (EIA)

and consumption and expenditures tables (C1-C38 and C1A-C38A), which contain energy usage data. Tables A1-A8 and C1A-C38A contain basic information for all buildings...

309

Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage  

E-Print Network (OSTI)

Abstract: By providing feedback to customers on home electricity and natural gas usage with a focus on peer comparisons, utilities can reduce energy consumption at a low cost. We analyze data from two large-scale, random-assignment field experiments conducted by utility companies providing electricity (the Sacramento Municipal Utility District (SMUD)) and electricity and natural gas (Puget Sound Energy (PSE)), in partnership with a private company, Positive Energy/oPower, which provides monthly or quarterly mailed peer feedback reports to customers. We find reductions in energy consumption of 1.2 % (PSE) to 2.1% percent (SMUD), with the decrease sustained over time (seven months (PSE) and twelve months (SMUD)).

Ian Ayres Yale; Sophie Raseman Yale; Alice Shih Yale; Ian Ayres; Sophie Raseman; Alice Shih

2010-01-01T23:59:59.000Z

310

Annual Energy Outlook 2002 with Projections to 2020 - Table 1  

Gasoline and Diesel Fuel Update (EIA)

Welcome to the Annual Energy Outlook 2002 with Projections to 2020. If having trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Welcome to the Annual Energy Outlook 2002 with Projections to 2020. If having trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Annual Energy Outlook 2002 with Projections to 2020 Table 1. Summary of results for five cases Sensitivity Factors 1999 2000 2020 Reference Low Economic Growth High Economic Growth Low World Oil Price High World Oil Price Primary Production (quadrillion Btu) Petroleum 15.06 15.04 15.95 15.52 16.39 14.40 17.73 Natural Gas 19.20 19.59 29.25 27.98 29.72 28.54 30.03 Coal 23.15 22.58 28.11 26.88 30.08 27.58 29.04 Nuclear Power 7.74 8.03 7.49 7.38 7.49 7.31 7.58 Renewable Energy 6.69 6.46 8.93 8.59 9.37 8.90 8.97 Other 1.66 1.10 0.93 0.91 0.73 0.40 1.06 Total Primary Production 73.50 72.80 90.66 87.26 93.79 87.13 94.40 Net Imports (quadrillion Btu)

311

Peetz Table Wind Energy Center (3Q07) | Open Energy Information  

Open Energy Info (EERE)

Peetz Table Wind Energy Center (3Q07) Peetz Table Wind Energy Center (3Q07) Jump to: navigation, search Name Peetz Table Wind Energy Center (3Q07) Facility Peetz Table Wind Energy Center (3Q07) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Florida Power & Light Co. Developer NextEra Energy Resources Energy Purchaser Xcel Energy Location Logan County CO Coordinates 40.98149°, -102.973891° 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":40.98149,"lon":-102.973891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

312

International Energy Outlook 2000 - Table 1. Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

13.7 18.3 30.1 44.7 174 225 399 617 Total 87.6 122.9 198.5 272.1 1,649 2,258 3,591 4,930 Total World 346.7 379.9 500.2 607.7 5,836 6,175 8,146 10,009 Sources: History: Energy...

313

Energy Information Administration - Table 2. End Uses of Fuel Consumption,  

Gasoline and Diesel Fuel Update (EIA)

2 2 Page Last Modified: June 2010 Table 2. End Uses of Fuel Consumption, 1998, 2002, and 2006 (trillion Btu) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 1998 2002 2006 Total 2 1,672 1,455 1,147 Net Electricity 3 158 184 175 Natural Gas 456 388 326 Coal 48 36 14 Boiler Fuel -- -- -- Coal 8 W 1 Residual Fuel Oil 10 * 4 Natural Gas 52 39 27 Process Heating -- -- -- Net Electricity 74 79 76 Residual Fuel Oil 19 * 11 Natural Gas 369 329 272 Machine Drive -- -- -- Net Electricity 68 86 77 Notes 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. 'Total' is the sum of all energy sources listed below, including net steam (the sum of purchases, generation from renewable resources, and net transfers), and other energy that respondents indicated was used to produce heat and power. It is the fuel quantities across all end-uses.

314

"Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"  

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

3 Heated Floorspace Usage Indicators, 2005" 3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Heated Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,6.1,27.7,26,17.6,10,"7 7.8",11.6 "No Main Space Heating Equipment",1.2,"N","N","N","N","N","N","N" "Have Main Space Heating Equipment",109.8,6.1,27.7,26,17.6,10,"7 7.8",11.6 "Use Main Space Heating Equipment",109.1,6.1,27.7,26,17.6,10,"7 7.8",11.6

315

"Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"  

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

4 Cooled Floorspace Usage Indicators, 2005" 4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Cooled Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,49.2,15.1,15.6,11.1,7,5.2,8 "Have Cooling Equipment",93.3,31.3,15.1,15.6,11.1,7,5.2,8 "Use Cooling Equipment",91.4,30.4,14.6,15.4,11.1,6.9,5.2,7.9 "Have Equipment But Do Not Use it",1.9,1,0.5,"Q","Q","Q","Q","Q" "Do Not Have Cooling Equipment",17.8,17.8,"N","N","N","N","N","N"

316

DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY  

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

193/P 193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY OFFICE OF THE CONSUMPTION DATA SYSTEM OFFICE OF PROGRAM DEVELOPMENT ENERGY INFORMATION ADMINISTRATION AUGUST 1, 1979 PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY Attached is the first report of the Office of the Consumption Data System, Office of Program Development, Energy Information Administration, presenting preliminary data from the National Interim Energy Consumption Survey (NIECS). The focus of this report is the conservation activities performed by households since January 1977, and the status of households with respect to insulation, storm windows, and other energy conserving characteristics. These tables are from preliminary data files.

317

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 25. Cooling Energy Sources, Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy...

318

Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables  

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

DOE Commercial Building Benchmarks DOE Commercial Building Benchmarks New Construction Energy Use Intensities (EUIs) [kBtu/ft 2 /yr] May 5, 2009 Miami Houston Phoenix Atlanta Los Angeles Las Vegas San Francisco Baltimore Albuquerque Seattle Chicago Denver Minneapolis Helena Duluth Fairbanks 2003 CBECS Avg. Climate Zone 1A 2A 2B 3A 3B 3B 3C 4A 4B 4C 5A 5B 6A 6B 7 8 Large Office 39 42 40 39 32 40 34 43 39 37 43 38 47 44 49 62 99 Medium Office 38 44 42 44 35 41 40 51 43 46 53 47 59 54 62 82 94 Small Office 46 48 49 46 36 44 38 53 47 47 61 52 70 62 77 110 80 Warehouse 15 15 15 16 14 16 14 18 17 16 21 20 26 23 27 43 48 Stand-alone Retail 48 46 46 41 34 41 35 45 42 40 48 45 54 51 61 88 70 Strip Mall 46 44 44 44 35 43 38 48 45 42 51 47 60 55 66 99 110 Primary School 65 71 69 69 57 65 71 78 68 65 85 74 99 88 107 147 68

319

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,,," " "NAICS" "Code(a)","Subsector and Industry","Establishments(b)","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know"

320

EIA Energy Efficiency-Table 5b. Economic and Physical Indicators...  

Gasoline and Diesel Fuel Update (EIA)

outputs. 3. Deflated using BEA's chain-type price indices for value added. Sources: Energy Information Administration, Annual Energy Review 2004. (DOEEIA-0384(2004) Table 5.8...

Note: This page contains sample records for the topic "tables energy usage" 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.
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to obtain the most current and comprehensive results.


321

EIA Energy Efficiency:Table 7b. U.S. Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Table 7b. U.S. Commercial Buildings Energy Intensity Using Primary Energy 1 by Census Region and Principal Building Activity, 1992-2003 (Thousand Btu per Square Foot)

322

EIA Energy Efficiency:Table 5b. U.S. Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Table 5b. U.S. Commercial Buildings Energy Intensity Using Site Energy 1 by Census Region and Principal Building Activity, 1992-2003 (Thousand Btu per Square Foot)

323

Supplemental Tables to the Annual Energy Outlook 2000  

Gasoline and Diesel Fuel Update (EIA)

Table 11. Energy Prices by Sector and Source (1 of 2) (1998 Dollars per Million Btu, Unless Otherwise Noted) 01 - New England 1998- 1998 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2020 Residential 13.65 14.18 14.13 14.05 14.21 14.16 14.06 14.24 14.21 14.17 14.12 14.17 14.10 14.15 14.20 14.18 14.21 14.24 14.27 14.30 14.33 14.35 0.2% Primary Energy 1/ 7.59 8.58 8.47 8.45 8.46 8.47 8.48 8.50 8.51 8.51 8.53 8.50 8.47 8.47 8.45 8.43 8.43 8.40 8.37 8.36 8.35 8.35 0.4% Petroleum Products 2/ 6.66 8.21 8.09 8.08 8.13 8.15 8.17 8.21 8.24 8.29 8.37 8.37 8.38 8.42 8.43 8.45 8.49 8.50 8.48 8.50 8.51 8.53 1.1% Distillate Fuel 5.93 7.39 7.28 7.27 7.32 7.34 7.36 7.40 7.43 7.48 7.57 7.57 7.57 7.62 7.64 7.68 7.71 7.72 7.71 7.72 7.73 7.75 1.2% Liquefied Petroleum Gas

324

EIA Energy Efficiency-Table 4f. Industrial Production Indexes...  

Annual Energy Outlook 2012 (EIA)

f Page Last Modified: May 2010 Table 4f. Industrial Production Indexes by Selected Industries, 1998, 2002, and 2006 (2000 100) MECS Survey Years NAICS Subsector and Industry 1998...

325

Buildings and Energy in the 80's -- Detailed Tables  

U.S. Energy Information Administration (EIA)

To view tables, click on the X in the appropriate cell. (requires Adobe Acrobat Reader) File sizes range from 9,529 bytes to 109,138 bytes ( 1 - 12 pages)

326

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 ...

327

Energy Information Administration - Energy Efficiency, Table 6b-End Uses of  

Gasoline and Diesel Fuel Update (EIA)

and 2002 > Table 6b and 2002 > Table 6b Table 6b. End Uses of Energy per Ton of Steel, 1998, 2002, and 2006 (thousand Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 19982 20022 20062 Total3 16,957 15,884 17,796 Net Electricity 4 1,602 2,009 4,673 Natural Gas 4,625 4,236 5,969 Coal 487 393 214 Boiler Fuel -- -- -- Coal 81 W 10 Residual Fuel Oil 101 W 266 Natural Gas 527 426 276 Process Heating -- -- -- Net Electricity 751 862 830 Residual Fuel Oil 193 W 112 Natural Gas 3,742 3,592 2,776 Machine Drive -- -- -- Net Electricity 690 939 786 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

328

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

593 593 Table 1. Energy Consumption by Sector and Source (Quadrillion Btu per Year, Unless Otherwise Noted) New England Sector and Source 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Transportation Distillate Fuel 8/ 0.155 0.158 0.157 0.163 0.168 0.172 0.177 0.182 0.188 0.194 0.200 0.205 0.210 Jet Fuel 9/ 0.079 0.075 0.074 0.074 0.073 0.074 0.076 0.077 0.079 0.081 0.082 0.084 0.086 Motor Gasoline 2/ 0.776 0.786 0.805 0.821 0.835 0.853 0.872 0.892 0.913 0.933 0.953 0.972 0.989 Residual Fuel 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 Liquefied Petroleum Gas 0.000 0.001 0.001 0.001 0.001 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.003 Other Petroleum 10/ 0.008 0.008 0.009 0.009 0.009 0.008 0.008 0.008 0.008 0.008 0.008 0.009 0.009 Petroleum Subtotal 1.020 1.030 1.047 1.069 1.088

329

EA-1440-S1: National Renewable Energy Laboratory's South Table Mountain  

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

440-S1: National Renewable Energy Laboratory's South Table 440-S1: National Renewable Energy Laboratory's South Table Mountain Complex, Golden Field Office, National Renewable Energy Laboratory EA-1440-S1: National Renewable Energy Laboratory's South Table Mountain Complex, Golden Field Office, National Renewable Energy Laboratory SUMMARY ThIs EA evaluates the potential environmental impact of a DOE proposal that consists of three site development projects at the National Renewable Energy Laboratory's (NREL) South Table Mountain (STM) site at Golden, Colorado: Construction of the Research Support Facilities (RSF), a new office building or multi-building office complex; Installation of Phase 1 of planned Site Infrastructure Improvements (Phase 1 of Full Site Development); Upgrades to the Thermochemical User Facility (TCUF), TCUF

330

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

331

OECD Input-Output Tables | Open Energy Information  

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

332

Usage Demographics 2010  

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

NERSC Usage Demographics 2010 Academic Usage Usage by Discipline DOE & Other Lab Usage Usage by Institution Type Last edited: 2012-10-30 13:51:35...

333

All Consumption Tables  

U.S. Energy Information Administration (EIA)

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

334

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables 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. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

335

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

U.S. Energy Information Administration (EIA)

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

336

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

U.S. Energy Information Administration (EIA)

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

337

Table CE1-1c. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE1-1c. Total Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD and --

338

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row

339

Table CE1-10c. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE1-10c. Total Energy Consumption in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region RSE Row

340

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households by Four Most Populated States, 1997 RSE Column Factor: Total U.S. Four Most Populated States

Note: This page contains sample records for the topic "tables energy usage" 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

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

342

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

343

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

344

Table CE5-2c. Appliances Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE5-2c. Appliances1 Energy Consumption in U.S. Households by Year of Construction, 2001 RSE Column Factor: Total Year of Construction RSE Row

345

NREL: Power Technologies Energy Data Book - Table of Contents  

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

Databook Home More Search Options Search Site Map Featured Links Biomass Energy Data Book Buildings Energy Data Book Hydrogen Energy Data Book Transportation Energy Data Book...

346

Plant Wide Assessment of Energy Usage Utilizing SitEModelling as a Tool for Optimizing Energy Consumption  

SciTech Connect

The Evonik Degussa Corporation is the global market leader in the specialty chemicals industry. Innovative products and system solutions make an indispensable contribution to our customers' success. We refer to this as "creating essentials". In fiscal 2004, Degussa's 45,000 employees worldwide generated sales of 11.2 billion euros and operating profits (EBIT) of 965 million euros. Evonik Degussa Corporation has performed a plant wide energy usage assessment at the Mapleton, Illinois facility, which consumed 1,182,330 MMBTU in 2003. The purpose of this study was to identify opportunities for improvement regarding the plants utility requirements specific to their operation. The production is based mainly on natural gas usage for steam, process heating and hydrogen production. The current high price for natural gas in the US is not very competitive compared to other countries. Therefore, all efforts must be taken to minimize the utility consumption in order to maximize market position and minimize fixed cost increases due to the rising costs of energy. The main objective of this plant wide assessment was to use a methodology called Site Energy Modelling (SitE Modelling) to identify areas of potential improvement for energy savings, either in implementing a single process change or in changing the way different processes interact with each other. The overall goal was to achieve energy savings of more than 10% compared to the 2003 energy figures of the Mapleton site. The final savings breakdown is provided below: - 4.1% savings for steam generation and delivery These savings were accomplished through better control schemes, more constant and optimized loading of the boilers and increased boiler efficiency through an advanced control schemes. - 1.6% savings for plant chemical processing These saving were accomplished through optimized processing heating efficiency and batch recipes, as well as an optimized production schedule to help equalize the boiler load (e.g. steam consumption).

Ralf Janowsky, Ph.D.; Tracey Mole, Ph.D.

2007-12-31T23:59:59.000Z

347

Supplement Tables to the Annual Energy Outlook 2000 - Errata  

Gasoline and Diesel Fuel Update (EIA)

AEO 2000 AEO 2000 as of 4/4/2000 1. The following values were updated in tables 81 and 82, dealing with natural gas production and reserve additions. Table 81. Lower 48 Natural Gas Production and Wellhead Prices 1998 Original 1998 Corrected 1998-2020 Original 1998-2020 Corrected Lower 48 Total 18.27 18.44 1.6% 1.5% Lower 48 Onshore Northeast 0.75 0.78 3.0% 2.8% Gulf Coast 4.69 4.81 1.4% 1.3% Midcontinent 2.72 2.67 1.2% 1.4% Southwest 1.54 1.56 2.5% 2.4% Rocky Mountain 2.90 2.84 2.7% 2.8% West Coast 0.14 0.25 1.7% -1.1% Lower 48 Offshore Gulf 5.48 5.48 0.7% 0.7% Pacific 0.04 0.05 -1.1% -1.6% Atlantic 0.00 0.00 N/A N/A Table 82. Oil and Gas, End-of-Year Reserves and Annual Reserve Additions 1998 Original

348

Automotive materials usage trends  

SciTech Connect

The materials composition of US passenger cars is traced from 1960 and projected into 1990's. Sales-weighted average vehicle-weight trends are analyzed in terms of shifts in the large/small car mix, downsizing, and downweighting. The growth in the usage of lightweight materials: -high strength steels, cast/wrought aluminum, plastics and composites - are examined in detail. Usage trends in a host of other materials such as alloy steels, zinc, lead, copper, etc. are also discussed. An approximate quantitative analysis of changes in the usage of steel by the automotive industry worldwide show that about 10% of total decline in Western-World steel consumption is accounted for by the automotive industry. An assessment is presented for automotive industry use of critical materials such as chromium in alloy steels/cast irons and the platinum group metals in exhaust-gas catalysts. 10 references, 13 figures, 9 tables.

Gjostein, N.A.

1986-01-01T23:59:59.000Z

349

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

350

Peetz Table Wind Energy Center (4Q07) | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name Peetz Table Wind Energy Center (4Q07) Facility Peetz Table Wind Energy Center (4Q07) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Xcel Energy Location Logan County CO Coordinates 40.98149°, -102.973891° 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":40.98149,"lon":-102.973891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

351

Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates  

E-Print Network (OSTI)

This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, methods, and guidelines for monitoring and tracking of utilities are provided. These recommendations, methods, and guidelines are the result of on-site work for schools and hospitals . Recently completed energy usage survey and observations of several hospitals in Texas are included. Opportunities exist for schools, hospitals, and other buildings t o achieve significant dollar savings by good utility management. Understanding utility rate structures is essential for minimizing energy costs. The authors' data is for Texas schools and hospitals, but the principles presented apply to other geographic areas.

McClure, J. D.; Estes, M. C.; Estes, J. M.

1989-01-01T23:59:59.000Z

352

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, ... Annual Energy Outlook 2013. Release Dates: April 15 - May 2, 2013 ...

353

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use ... Monthly Quarterly Coal Report Monthly Energy Review Residential Energy Consumption ...

354

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds -- cadmium telluride (CdTe) and copper indium diselenide (CuInSe{sub 2}). More specifically, this paper summarizes the toxicological information on cadmium (Cd) compounds; evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. Nevertheless, concern about cadmium hazards should continue to be emphasized to ensure that health, safety and environmental issues are properly managed. At the same time, the potential role that these systems can play in ameliorating some important health and environmental hazards related to other energy systems should not be ignored. 27 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1989-12-01T23:59:59.000Z

355

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

DC. Steiner, R.L. (1994). Residential density and traveland Brownstone The Impact of Residential Density on VehicleWP-05-1 The Impact of Residential Density on Vehicle Usage

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

356

Improve Industrial Temperature Measurement Precision for Cost-Effective Energy Usage  

E-Print Network (OSTI)

Temperature measurement and energy efficiencies have always been tightly interrelated. Recent years have seen substantial advancements in the ability to make industrial temperature measurements with absolute accuracy. This capability should continue to have a great impact on industrial energy efficiency. "Absolute Accuracy" is a new concept in industrial temperature measurement. Making a measurement with "Absolute Accuracy" has enormous advantages in major industrial processes from heat-transfer to combustion thermal efficiency. Absolute measurement accuracy is especially critical when one temperature measurement is to be compared to another temperature measurement or if the measurement is to be used as part of a calculation formula such as BTU usage or compensated flow. The thermocouple and the RTD sensor continue to be the workhorse sensors for industrial measurements, but the precision measurement capability of the RTD sensor is showing real value in new installations. For temperature measurements under 1,000F, the RTD is extremely stable and repeatable in almost all measurement conditions. There have been significant advances in the ability to accurately read these sensors, particularly in industrial applications where the temperature sensor is installed in a remote location. Four-wire sensor measurement techniques can now be used for reading RTD's in industrial applications. These four-wire measurement techniques have improved the practical measurement accuracy in industrial applications to better than 0.1C. This is at least ten times better than any practical industrial temperature measurement accuracy made prior to 1980. These significant accuracy improvements have been matched by similar improvements in measurement stability, particularly from smart temperature transmitters. Measurement accuracy and stability improvements have allowed for similar advances in process control strategies and in precision energy use studies. Until recently, the inaccuracy of process temperature measurements have stymied implementation of sophisticated control algorithms. With the advent of precise, stable temperature measurements, a number of process control strategies can be implemented using real-time enthalpy balances for control of batch and continuous reactions. These control strategies can result in very significant improvements in both throughput and quality. Similar improvements can be made where it is important to compare an industrial temperature measurements. These comparisons are frequent in energy use studies to identify and isolate potential energy savings. This article examines the advances in remote temperature measurement techniques for the process and utility industries. It offers several examples of the significance of the on-line control techniques.

Lewis, C. W.

1999-05-01T23:59:59.000Z

357

EIA - Supplemental Tables to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

the Annual Energy Outlook 2010 (AEO2010) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2007 to 2035....

358

CBECS - Buildings and Energy in the 1980's - Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980...

359

Supplemental Tables to the Annual Energy Outlook 2003  

Annual Energy Outlook 2012 (EIA)

Gas 8 Natural Gas 9 Ethanol (E85) 10 Electricity Average End-Use Energy Primary Energy Electricity Electric Generators 11 Fossil Fuel Average Petroleum Products Distillate Fuel...

360

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

This Week in Petroleum Weekly Petroleum Status Report ... Annual Energy Outlook 2013. ... U.S. Department of Energy USA.gov FedStats. Stay Connected

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361

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

> Forecasts >Assumptions to the Annual Energy Outlook> Download Report Assumption to the Annual Energy Outlook Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF...

362

Brain usage  

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

usage Name: A W Chen Status: NA Age: NA Location: NA Country: NA Date: NA Question: For my science fair project I would like to know if every part of the brain is used all the...

363

Brain Usage  

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

Usage Name: Matt Location: NA Country: NA Date: NA Question: what percentage of the brain does the average human use? Replies: This is a very difficult question to address. Your...

364

Towards Sustainable Material Usage: Investigating Limits to ...  

Science Conference Proceedings (OSTI)

Presentation Title, Towards Sustainable Material Usage: Investigating Limits to ... secondary resources decreases energy consumption; this energy advantage...

365

Final Site-Wide Environmental Assessment of the National Renewable Energy Laboratorys South Table Mountain Complex  

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

# 1440 # 1440 FINAL Site-Wide Environmental Assessment of the National Renewable Energy Laboratory's South Table Mountain Complex July 2003 U.S. DEPARTMENT OF ENERGY GOLDEN FIELD OFFICE NATIONAL RENEWABLE ENERGY LABORATORY 1617 Cole Boulevard Golden, Colorado 80401 Site-Wide Environmental Assessment of FINAL National Renewable Energy Laboratory's South Table Mountain Complex TABLE OF CONTENTS LIST OF ACRONYMS.................................................................................................................vii S. SUMMARY .................................................................................................................... S-1 S.1 INTRODUCTION ...........................................................................................................

366

Measuring Energy Efficiency Report in Html: Table of Contents  

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

Report: Measuring Energy Efficiency in the U.S. Economy Report: Measuring Energy Efficiency in the U.S. Economy Measuring Energy Efficiency In The United States' Economy: A Beginning Measuring Energy Efficiency in the United States' Economy (file size .94 MB) pages: 105. To View and/or Print Report (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader. Executive Summary Introduction Defining Energy Efficiency and Its Measurement Residential Sector Introduction Major Data Sources Energy Consumption in the Residential Sector Demand Indicators Energy-Intensity Indicators in the Residential Sector Strength and Limitations of the Energy-Intensity Indicators Commercial Buildings Sector Introduction Major Data Sources Energy Consumption in the Commercial Buildings Sector Demand Indicators Energy-Intensity Indicators in the Commercial Buildings Sector

367

Comprehensive tables giving physical data and thermal energy estimates for young igneous systems of the United States  

DOE Green Energy (OSTI)

Two tables are presented. The first is a comprehensive table of 157 young igneous systems in the western United States, giving locations, physical data, and thermal energy estimates, where appropriate for each system. The second table is a list of basaltic fields probably less than 10,000 years old in the western United States.

Smith, R.L.; Shaw, H.R.; Leudke, R.G.; Russell, S.L.

1978-01-01T23:59:59.000Z

368

Table PT1. Energy Production Estimates in Physical Units, New ...  

U.S. Energy Information Administration (EIA)

Energy Production Estimates in Physical Units, New Mexico, 1960 - 2011 1960 295 798,928 107,380 NA 1961 412 789,662 112,553 NA ... Fossil Fuels Renewable Energy

369

Economic impact of energy shortages on commercial air transportation and aviation manufacture. Volume 2. Aviation industries profiles and energy usage characteristics  

SciTech Connect

The purpose of this study was to determine the economic impact of energy scarcity on the air transportation industry. Volume II provides a data base on the characteristics and operating performances of the air transportation industry and the aircraft, engines, and parts manufacturing industries, including energy usage characteristics and efficiency. (BYB)

Gorham, J.E.; Gross, D.; Snipes, J.C.

1975-06-01T23:59:59.000Z

370

Table 2.9 Commercial Buildings Consumption by Energy Source ...  

U.S. Energy Information Administration (EIA)

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

371

Supplement Tables to the Annual Energy Outlook 2005  

Gasoline and Diesel Fuel Update (EIA)

Table 21. Residential Sector Equipment Stock and Efficiency Table 21. Residential Sector Equipment Stock and Efficiency 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Equipment Stock (million units) Main Space Heaters Electric Heat Pumps 10.63 11.02 11.43 11.80 12.11 12.44 12.76 13.08 13.40 13.71 14.02 14.33 14.64 Electric Other 20.76 20.90 21.04 21.16 21.28 21.43 21.58 21.74 21.89 22.04 22.20 22.35 22.50 Natural Gas Heat Pumps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Natural Gas Other 59.93 60.87 61.86 62.74 63.60 64.46 65.31 66.15 67.03 67.93 68.80 69.68 70.56 Distillate 8.03 8.03 8.04 8.05 8.06 8.07 8.09 8.10 8.12 8.13 8.15 8.17 8.18 Liquefied Petroleum Gas 5.00 5.06 5.10 5.14 5.19 5.25 5.30 5.36 5.41 5.46 5.51 5.56 5.61 Kerosene 0.82 0.81 0.80 0.79 0.79 0.78 0.78 0.78 0.77 0.77 0.77 0.77 0.77 Wood Stoves 2.04 2.04 2.03 2.03 2.02 2.01 2.00 1.99 1.99 1.98

372

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"

373

Table 2.1 Energy Consumption by Sector (Trillion Btu)  

U.S. Energy Information Administration (EIA)

c Electricity-only and combined-heat-and-power (CHP) ... and electrical system energy losses. ... Geographic coverage is the 50 states and the Distr ...

374

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Levelized generation costs; Model documentation; Capital cost for electricity plants; About the National Energy Modeling System (NEMS) Retrospective Review for AEO2011;

375

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

376

Table PT2. Energy Production Estimates in Trillion Btu ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

377

Table PT2. Energy Production Estimates in Trillion Btu, Minnesota ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

378

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

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

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

379

Annual Energy Outlook 2002 with Projections to 2020 - Table of...  

Gasoline and Diesel Fuel Update (EIA)

Issues in Focus Market Trends Energy Demand Electricity Oil and Natural Gas Coal Emissions Forecast Comparisons Major Assumptions for the Forecasts Summary of the AEO2002...

380

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.

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381

Table 10.2a Renewable Energy Consumption: Residential and ...  

U.S. Energy Information Administration (EIA)

Includes distributed solar thermal and PV energy used in the commercial, industrial, and electric power sectors. R=Revised. P=Preliminary. NA=Not available.

382

Table 10.1 Renewable Energy Production and Consumption by ...  

U.S. Energy Information Administration (EIA)

1 Production equals consumption for all renewable energy sources except biofuels. 9 Wood and wood-derived fuels. 2 Total biomass inputs to the ...

383

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

fueloilandkerosenesaleshistoricalfoks.html; EIA, State Energy Data Report 1999, DOEEIA-0214(99) (Washington, DC, May 2001); Oak Ridge National Laboratory,...

384

Advanced Materials for Energy Conversion III TABLE OF CONTENTS  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy's Hydrogen Storage Program: The Grand Challenge of Vehicular Hydrogen Storage [pp. 25] C. Read, J. Petrovic, G. Ordaz, and...

385

Table 2.3 Commercial Sector Energy Consumption (Trillion Btu)  

U.S. Energy Information Administration (EIA)

e Conventional hydroelectric power. f Electricity retail sales to ultimate customers reported by electric utilities and, beginning in 1996, other energy service ...

386

Table 10.2b Renewable Energy Consumption: Industrial and ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, manufacturing, and transportation. ... Through 2000, also includes non-renewable waste (municipal solid waste from

387

Supplemental Tables to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

J a n u a r y 2 0 0 9 J a n u a r y 2 0 0 9 S u p p l e me n t a l T a b l e s Table 62. Electric Power Projections for EMM Region East Central Area Reliability Coordinaiton Agreement - 01 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Electricity Generating Capacity 1/ (gigawatts) Electric Power Sector Coal 84.03 83.80 84.38 83.75 83.95 84.69 85.32 85.32 85.32 86.04 84.78 84.69 84.69 Oil and Natural Gas Steam 2/ 3.51 3.51 3.46 3.46 3.46 3.46 3.42 1.23 1.20 1.20 1.20 1.20 1.20 Combined Cycle 11.45 11.45 11.45 12.13 12.13 12.13 12.13 12.67 12.67 12.67 12.67 12.67 12.67 Combustion Turbine/Diesel 21.08 21.01 21.02 21.02 21.02 21.02 21.02 17.66 17.66 17.66 17.66 17.66 17.66 Nuclear Power 7.81 7.81 7.82 7.82 7.89 7.89 7.89 7.89 7.89 7.89 7.89 7.89 7.89 Pumped Storage/Other 3/ 3.66 3.66 3.66 3.66 3.66 3.66 3.66 3.66

388

THE APPLICATION OF A DATA MINING FRAMEWORK TO ENERGY USAGE PROFILING IN DOMESTIC RESIDENCES USING UK DATA  

E-Print Network (OSTI)

Abstract: This paper describes a method for defining representative load profiles for domestic electricity users in the UK. It considers bottom up and clustering methods and then details the research plans for implementing and improving existing framework approaches based on the overall usage profile. The work focuses on adapting and applying analysis framework approaches to UK energy data in order to determine the effectiveness of creating a few (single figures) archetypical users with the intention of improving on the current methods of determining usage profiles. The work is currently in progress and the paper details initial results using data collected in Milton Keynes around 1990. Various possible enhancements to the work are considered including a split based on temperature to reflect the varying UK weather conditions.

Ian Dent; Uwe Aickelin; Tom Rodden

2011-01-01T23:59:59.000Z

389

TableHC6.13.xls  

Annual Energy Outlook 2012 (EIA)

Q Q Q N Q 5 or More... 0.3 N Q Q Q Q Lighting Usage Indicators 4 Members 5 or More Members Table HC6.13 Lighting Usage...

390

Table 21. Total Energy Related Carbon Dioxide Emissions, Projected...  

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

Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual Projected (million metric tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008...

391

Table 4. Electric Power Industry Capability by Primary Energy...  

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

Wisconsin" "Energy Source",1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percentage Share" ,,,2000,20...

392

EIA Energy Efficiency-Table 5d. Economic and Physical Indicators for the  

Gasoline and Diesel Fuel Update (EIA)

Home > Households, Buildings & Industry > Energy Efficiency > Manufacturing Trend Data, 1998, 2002, and 2006 > Table 5d Home > Households, Buildings & Industry > Energy Efficiency > Manufacturing Trend Data, 1998, 2002, and 2006 > Table 5d Page Last Modified: May 2010 Table 5d. Economic and Physical Indicators for Basic Chemicals (NAICS 325), 1998, 2002, and 2006 Indicators MECS Survey Years 1998 2002 2006 Production1 (Million Short Tons) Inorganic Chemicals 179 163 170 Bulk Petrochemical 69 73 80 Organic Intermediate 73 73 64 Plastic Resins 40 48 50 Synthetic Rubber 2 2 NA Synthetic Fibers 5 5 4 Value of Shipments (Current Billion Dollars) Inorganic Chemicals 25 25 34 Bulk Petrochemicals & Intermediates 39 45 90 Plastic Resins 45 47 78 Synthetic Rubber 5 5 7 Synthetic Fibers 13 8 9 Value of Shipments2 (Billion 2000 Dollars) Inorganic Chemicals 27 25 26

393

Usage by Job Size  

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

Usage by Job Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Carver Planck Matgen Franklin Hopper 1 Magellan Dirac Bassi Jacquard Seaborg User Account (Repo) Execution Queue All Debug Interactive Premium Regular Short Regular Long Regular Small Regular Medium Regular Big Regular Extra Big Killable Low Transfer IO Task Special System Serial Big Memory Westmere === Inactive === Magellan Serial Magellan Short Magellan Small Magellan Medium Magellan Big Magellan Long Regular 1 Regular 1 Long Regular 16 Regular 32 Regular 48 Full Config Seaborg Serial Batch 16 Batch 32 Batch 64 Submit Queue all interactive debug premium regular low DOE Office all ASCR BER BES FES HEP NP Summary for jobs that completed after Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 @ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

394

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

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

395

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 - 2011 1960 796.6 36.9 31.3 0.0 NA 37.0 37.0 901.9 1961 756.0 37.3 32.7 0.0 NA 36.4 36.4 862.4

396

File:Table for Tip Speed Intervals of Length.pdf | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search File Edit History Facebook icon Twitter icon » File:Table for Tip Speed Intervals of Length.pdf Jump to: navigation, search File File history File usage Metadata File:Table for Tip Speed Intervals of Length.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 99 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:37, 3 January 2014 Thumbnail for version as of 09:37, 3 January 2014 1,275 × 1,650 (99 KB) Foteri (Talk | contribs) Category:Wind for Schools Portal CurriculaCategory:Wind for Schools High School Curricula

397

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

398

Table 6. Energy intensity by state (2000 - 2010  

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

Energy intensity by state (2000 - 2010)" Energy intensity by state (2000 - 2010)" "thousand Btu per dollar of GDP" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,,"2000 to 2010" "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",18.27258197,17.12573602,17.40982338,17.21199023,16.87274619,16.36600572,16.26201029,16.16667416,15.88996309,15.31511861,15.97051076,-0.1259849985,-2.302071213 "Alaska",21.74118991,20.61708506,19.78031734,20.18143227,20.28953911,21.09573287,18.72961653,17.79373817,15.85124571,14.13669694,14.24461661,-0.3448097058,-7.496573297 "Arizona",8.723022426,8.474435286,8.399371812,7.993493579,8.274516227,7.602521438,7.232690272,7.328159916,7.62679414,7.507000095,7.628169778,-0.1255129924,-1.094852647

399

TableHC2.13.xls  

Gasoline and Diesel Fuel Update (EIA)

... 0.3 Q Q Q N N Type of Housing Unit Lighting Usage Indicators Detached Attached 2 to 4 Units 5 or More Units Mobile Homes Table...

400

Supplemental Tables to the Annual Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

1. Energy Consumption by Sector and Source 1. Energy Consumption by Sector and Source (quadrillion Btu, unless otherwise noted) New England 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Energy Consumption Residential Distillate Fuel 0.313 0.330 0.337 0.301 0.294 0.294 0.293 0.293 0.292 0.291 0.288 0.286 0.284 0.282 0.278 Kerosene 0.012 0.014 0.014 0.016 0.015 0.015 0.015 0.015 0.015 0.015 0.015 0.014 0.014 0.014 0.014 Liquefied Petroleum Gas 0.029 0.030 0.030 0.029 0.029 0.030 0.030 0.031 0.031 0.031 0.032 0.032 0.032 0.033 0.033 Petroleum Subtotal 0.354 0.375 0.381 0.346 0.338 0.339 0.338 0.338 0.337 0.337 0.334 0.332 0.330 0.328 0.325 Natural Gas 0.200 0.191 0.193 0.191 0.191 0.193 0.193 0.195 0.196 0.197 0.197 0.198 0.199 0.201 0.201 Coal 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Renewable Energy 1/

Note: This page contains sample records for the topic "tables energy usage" 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 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

402

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

403

EIA Energy Efficiency-Table 1d. Nonfuel Consumption (Site Energy) for  

Gasoline and Diesel Fuel Update (EIA)

d d Page Last Modified: May 2010 Table 1d. Nonfuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 1 8 3 312 Beverage and Tobacco Products * 1 * 313 Textile Mills 2 1 0 314 Textile Product Mills 1 * 0 315 Apparel * 0 0 316 Leather and Allied Products * * 0 321 Wood Products 6 4 0 322 Paper 2 1 1 323 Printing and Related Support * * * 324 Petroleum and Coal Products 3,748 3,689 3,572 325 Chemicals 2,772 3,750 2,812 326 Plastics and Rubber Products * Q Q 327 Nonmetallic Mineral Products 10 7 12 331 Primary Metals 758 646 529 332 Fabricated Metal Products 3 1 1 333 Machinery Q 2 * 334 Computer and Electronic Products * 1 1 335 Electrical Equip., Appliances, and Components 27 69 21 336 Transportation Equipment

404

Supplemental Tables to the Annual Energy Outlook 2008 Report  

Gasoline and Diesel Fuel Update (EIA)

1. Energy Consumption by Sector and Source 1. Energy Consumption by Sector and Source (quadrillion Btu, unless otherwise noted)-New England - 01 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Residential Liquefied Petroleum Gases 0.025 0.024 0.025 0.025 0.025 0.025 0.026 0.026 0.027 0.027 0.028 0.029 0.029 Kerosene 0.015 0.012 0.015 0.015 0.014 0.014 0.013 0.014 0.014 0.014 0.014 0.014 0.014 Distillate Fuel Oil 0.316 0.259 0.302 0.291 0.282 0.276 0.277 0.278 0.277 0.277 0.277 0.277 0.276 Liquid Fuels and Other Petroleum Subtotal 0.356 0.295 0.342 0.331 0.321 0.315 0.316 0.318 0.318 0.318 0.318 0.320 0.319 Natural Gas 0.199 0.177 0.196 0.196 0.195 0.192 0.194 0.196 0.196 0.198 0.199 0.201 0.201 Coal 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Renewable Energy 1/ 0.028 0.023 0.027 0.027 0.026 0.025 0.025 0.024 0.024 0.024

405

Table 16. Total Energy Consumption, Projected vs. Actual  

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

Total Energy Consumption, Projected vs. Actual" Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO 1996",,,90.6,91.26,92.54,93.46,94.27,95.07,95.94,96.92,97.98,99.2,100.38,101.4,102.1,103.1,103.8,104.69,105.5 "AEO 1997",,,,92.64,93.58,95.13,96.59,97.85,98.79,99.9,101.2,102.4,103.4,104.7,105.8,106.6,107.2,107.9,108.6 "AEO 1998",,,,,94.68,96.71,98.61027527,99.81855774,101.254303,102.3907928,103.3935776,104.453476,105.8160553,107.2683716,108.5873566,109.8798981,111.0723877,112.166893,113.0926208

406

Annual Energy Outlook Forecast Evaluation - Tables 2-18  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Consumption: AEO Forecasts, Actual Values, and Total Energy Consumption: AEO Forecasts, Actual Values, and Absolute and Percent Errors, 1985-1999 Publication 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 Average Absolute Error (Quadrillion Btu) AEO82 79.1 79.6 79.9 80.8 82.0 83.3 1.8 AEO83 78.0 79.5 81.0 82.4 83.8 84.6 89.5 1.2 AEO84 78.5 79.4 81.2 83.1 85.0 86.4 93.5 1.5 AEO85 77.6 78.5 79.8 81.2 82.6 83.3 84.2 85.2 85.9 86.7 87.7 1.3 AEO86 77.0 78.8 79.8 80.6 81.5 82.9 84.0 84.8 85.7 86.5 87.9 88.4 87.8 88.7 3.6 AEO87 78.9 80.0 81.9 82.8 83.9 85.3 86.4 87.5 88.4 1.5 AEO89 82.2 83.7 84.5 85.4 86.4 87.3 88.2 89.2 90.8 91.4 90.9 91.7 1.8

407

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

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

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

408

Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 AEO 1997 24.7 25.3 25.9 26.4 27.0 27.5 28.0 28.5 28.9 29.4 29.8 30.3 30.6 30.9 31.1 31.3 AEO 1998 25.3 25.9 26.7 27.1 27.7 28.3 28.8 29.4 30.0 30.6 31.2 31.7 32.3 32.8 33.1 AEO 1999 25.4 26.0 27.0 27.6 28.2 28.8 29.4 30.0 30.6 31.2 31.7 32.2 32.8 33.1 AEO 2000 26.2 26.8 27.4 28.0 28.5 29.1 29.7 30.3 30.9 31.4 31.9 32.5 32.9

409

Table 22. Energy Intensity, Projected vs. Actual Projected  

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

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / real GDP in billion 2005 chained dollars) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 11.2 11.1 11.0 10.8 10.7 10.5 10.4 10.3 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 AEO 1995 10.9 10.8 10.6 10.4 10.3 10.1 10.0 9.9 9.8 9.6 9.5 9.4 9.3 9.2 9.1 9.1 9.0 AEO 1996 10.7 10.6 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1997 10.3 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1998 10.1 10.1 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.5 9.4 9.3 9.2 9.1 9.0 AEO 1999 9.6 9.7 9.7 9.7 9.6 9.4 9.3 9.1 9.0 8.9 8.8 8.7 8.6 8.5 AEO 2000 9.4 9.4 9.3 9.2 9.1 9.0 8.9 8.8 8.7 8.7 8.6 8.5 8.4 AEO 2001 8.7 8.6 8.5 8.4 8.3 8.1 8.0 7.9 7.8 7.6 7.5 7.4

410

Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual  

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

Total Delivered Commercial Energy Consumption, Projected vs. Actual Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9 8.0 8.1 8.1 8.2 AEO 1998 7.5 7.6 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.3 8.4 8.4 8.5 8.6 8.7 AEO 1999 7.4 7.8 7.9 8.0 8.1 8.2 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 AEO 2000 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.5 8.7 8.7 8.8 AEO 2001 7.8 8.1 8.3 8.6 8.7 8.9 9.0 9.2 9.3 9.5 9.6 9.7 AEO 2002 8.2 8.4 8.7 8.9 9.0 9.2 9.4 9.6 9.7 9.9 10.1

411

Table 21. Total Transportation Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Transportation Energy Consumption, Projected vs. Actual Transportation Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 18.6 18.2 17.7 17.3 17.0 16.9 AEO 1983 19.8 20.1 20.4 20.4 20.5 20.5 20.7 AEO 1984 19.2 19.0 19.0 19.0 19.1 19.2 20.1 AEO 1985 20.0 19.8 20.0 20.0 20.0 20.1 20.3 AEO 1986 20.5 20.8 20.8 20.6 20.7 20.3 21.0 AEO 1987 21.3 21.5 21.6 21.7 21.8 22.0 22.0 22.0 21.9 22.3 AEO 1989* 21.8 22.2 22.4 22.4 22.5 22.5 22.5 22.5 22.6 22.7 22.8 23.0 23.2 AEO 1990 22.0 22.4 23.2 24.3 25.5 AEO 1991 22.1 21.6 21.9 22.1 22.3 22.5 22.8 23.1 23.4 23.8 24.1 24.5 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 AEO 1992 21.7 22.0 22.5 22.9 23.2 23.4 23.6 23.9 24.1 24.4 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 27.1 AEO 1993 22.5 22.8 23.4 23.9 24.3 24.7 25.1 25.4 25.7 26.1 26.5 26.8 27.2 27.6 27.9 28.1 28.4 28.7 AEO 1994 23.6

412

Table 17. Total Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption, Projected vs. Actual Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 79.1 79.6 79.9 80.8 82.1 83.3 AEO 1983 78.0 79.5 81.0 82.4 83.9 84.6 89.0 AEO 1984 78.5 79.4 81.2 83.1 85.1 86.4 93.0 AEO 1985 77.6 78.5 79.8 81.2 82.7 83.3 84.2 85.0 85.7 86.3 87.2 AEO 1986 77.0 78.8 79.8 80.7 81.5 82.9 83.8 84.6 85.3 86.0 86.6 87.4 88.3 89.4 90.2 AEO 1987 78.9 80.0 82.0 82.8 83.9 85.1 86.2 87.1 87.9 92.5 AEO 1989* 82.2 83.8 84.5 85.4 86.2 87.1 87.8 88.7 89.5 90.4 91.4 92.4 93.5 AEO 1990 84.2 85.4 91.9 97.4 102.8 AEO 1991 84.4 85.0 86.0 87.0 87.9 89.1 90.4 91.8 93.1 94.3 95.6 97.1 98.4 99.4 100.3 101.4 102.5 103.6 104.7 105.8 AEO 1992 84.7 87.0 88.0 89.2 90.5 91.4 92.4 93.4 94.5 95.6 96.9 98.0 99.0 100.0 101.2 102.2 103.2 104.3 105.2 AEO 1993 87.0 88.3 89.8 91.4 92.7 94.0 95.3 96.3 97.5 98.6

413

Table 20. Total Industrial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Industrial Energy Consumption, Projected vs. Actual Industrial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 24.0 24.1 24.4 24.9 25.5 26.1 AEO 1983 23.2 23.6 23.9 24.4 24.9 25.0 25.4 AEO 1984 24.1 24.5 25.4 25.5 27.1 27.4 28.7 AEO 1985 23.2 23.6 23.9 24.4 24.8 24.8 24.4 AEO 1986 22.2 22.8 23.1 23.4 23.4 23.6 22.8 AEO 1987 22.4 22.8 23.7 24.0 24.3 24.6 24.6 24.7 24.9 22.6 AEO 1989* 23.6 24.0 24.1 24.3 24.5 24.3 24.3 24.5 24.6 24.8 24.9 24.4 24.1 AEO 1990 25.0 25.4 27.1 27.3 28.6 AEO 1991 24.6 24.5 24.8 24.8 25.0 25.3 25.7 26.2 26.5 26.1 25.9 26.2 26.4 26.6 26.7 27.0 27.2 27.4 27.7 28.0 AEO 1992 24.6 25.3 25.4 25.6 26.1 26.3 26.5 26.5 26.0 25.6 25.8 26.0 26.1 26.2 26.4 26.7 26.9 27.2 27.3 AEO 1993 25.5 25.9 26.2 26.8 27.1 27.5 27.8 27.4 27.1 27.4 27.6 27.8 28.0 28.2 28.4 28.7 28.9 29.1 AEO 1994 25.4 25.9

414

Table 16. Total Energy Consumption, Projected vs. Actual Projected  

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

Total Energy Consumption, Projected vs. Actual Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 88.0 89.5 90.7 91.7 92.7 93.6 94.6 95.7 96.7 97.7 98.9 100.0 100.8 101.7 102.7 103.6 104.3 105.2 AEO 1995 89.2 90.0 90.6 91.9 93.0 93.8 94.6 95.3 96.2 97.2 98.4 99.4 100.3 101.2 102.1 102.9 103.9 AEO 1996 90.6 91.3 92.5 93.5 94.3 95.1 95.9 96.9 98.0 99.2 100.4 101.4 102.1 103.1 103.8 104.7 105.5 AEO 1997 92.6 93.6 95.1 96.6 97.9 98.8 99.9 101.2 102.4 103.4 104.7 105.8 106.6 107.2 107.9 108.6 AEO 1998 94.7 96.7 98.6 99.8 101.3 102.4 103.4 104.5 105.8 107.3 108.6 109.9 111.1 112.2 113.1 AEO 1999 94.6 97.0 99.2 100.9 102.0 102.8 103.6 104.7 106.0 107.2 108.5 109.7 110.8 111.8

415

Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual  

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

Total Delivered Industrial Energy Consumption, Projected vs. Actual Total Delivered Industrial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 AEO 1997 26.2 26.5 26.9 26.7 26.6 26.8 27.1 27.4 27.8 28.0 28.4 28.7 28.9 29.0 29.2 29.4 AEO 1998 27.2 27.5 27.2 26.9 27.1 27.5 27.7 27.9 28.3 28.7 29.0 29.3 29.7 29.9 30.1 AEO 1999 26.7 26.4 26.4 26.8 27.1 27.3 27.5 27.9 28.3 28.6 28.9 29.2 29.5 29.7 AEO 2000 25.8 25.5 25.7 26.0 26.5 26.9 27.4 27.8 28.1 28.3 28.5 28.8 29.0

416

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

Gasoline and Diesel Fuel Update (EIA)

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

417

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

418

Table 19. Total Commercial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Commercial Energy Consumption, Projected vs. Actual Commercial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.6 6.7 6.8 6.8 6.8 6.9 AEO 1983 6.4 6.6 6.8 6.9 7.0 7.1 7.2 AEO 1984 6.2 6.4 6.5 6.7 6.8 6.9 7.3 AEO 1985 5.9 6.1 6.2 6.3 6.4 6.5 6.7 AEO 1986 6.2 6.3 6.4 6.4 6.5 7.1 7.4 AEO 1987 6.1 6.1 6.3 6.4 6.6 6.7 6.8 6.9 6.9 7.3 AEO 1989* 6.6 6.7 6.9 7.0 7.0 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 AEO 1990 6.6 6.8 7.1 7.4 7.8 AEO 1991 6.7 6.9 7.0 7.1 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.6 8.7 AEO 1992 6.8 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.6 8.7 AEO 1993 7.2 7.3 7.4 7.4 7.5 7.6 7.7 7.7 7.8 7.9 7.9 8.0 8.0 8.1 8.1 8.1 8.2 8.2 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 AEO 1995 6.94 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0

419

Supplement Tables to the Annual Energy Outlook 2005  

Gasoline and Diesel Fuel Update (EIA)

Type (Trillion Btu) Type (Trillion Btu) 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Energy Use by Mode Highway Light-Duty Vehicles 15582.6 15779.3 16110.2 16406.8 16781.6 17204.2 17628.1 18048.4 18450.0 18810.8 19167.1 19521.4 19879.4 Automobiles 9032.9 8921.0 8890.8 8874.4 8878.6 8915.4 8969.4 9011.3 9029.3 9048.7 9067.9 9087.1 9111.9 Light Trucks 6523.8 6832.6 7193.9 7506.8 7877.5 8263.2 8633.0 9011.2 9394.9 9736.1 10073.2 10408.2 10741.4 Motorcycles 26.0 25.6 25.5 25.5 25.5 25.6 25.8 25.9 25.9 26.0 26.0 26.1 26.1 Commercial Light Trucks 1/ 578.0 577.7 599.1 610.1 615.9 626.5 640.1 654.4 665.6 676.0 687.0 697.4 711.0 Buses 243.9 248.9 251.8 253.1 255.0 257.3 259.6 261.9 264.0 265.6 266.9 267.8 268.3 Transit 96.1 98.0 99.2 99.7 100.4 101.4 102.3 103.2 104.0 104.6 105.1 105.5 105.7 Intercity 35.4 36.2 36.6 36.8 37.1 37.4 37.8

420

Supplement Tables to the Annual Energy Outlook 1998  

Gasoline and Diesel Fuel Update (EIA)

(Quadrillion Btu per Year, Unless Otherwise Noted) 01 - New England 1996- 2020 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 Energy Consumption Residential Distillate Fuel . . . . . . . . . . 0.28 0.28 0.28 0.28 0.27 0.27 0.27 0.26 0.26 0.26 0.26 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.24 0.24 0.24 0.24 0.24 0.24 -0.7% Kerosene . . . . . . . . . . . . . . 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 -2.6% Liquefied Petroleum Gas . 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 -0.9% Petroleum Subtotal . . . . . 0.32 0.32 0.31 0.31 0.31 0.30 0.30 0.29 0.29 0.29 0.29 0.28 0.28 0.28 0.28 0.28 0.28 0.27 0.27 0.27 0.27 0.27

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421

Supplemental Tables to the Annual Energy Outlook 2008 Report  

Gasoline and Diesel Fuel Update (EIA)

-New England - 01 -New England - 01 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Residential Liquefied Petroleum Gases 0.025 0.024 0.025 0.025 0.025 0.025 0.026 0.026 0.027 0.027 0.028 0.029 0.029 Kerosene 0.015 0.012 0.015 0.015 0.014 0.014 0.013 0.014 0.014 0.014 0.014 0.014 0.014 Distillate Fuel Oil 0.316 0.259 0.302 0.291 0.282 0.276 0.277 0.278 0.277 0.277 0.277 0.277 0.276 Liquid Fuels and Other Petroleum Subtotal 0.356 0.295 0.342 0.331 0.321 0.315 0.316 0.318 0.318 0.318 0.318 0.320 0.319 Natural Gas 0.199 0.177 0.196 0.196 0.195 0.192 0.194 0.196 0.196 0.198 0.199 0.201 0.201 Coal 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Renewable Energy 1/ 0.028 0.023 0.027 0.027 0.026 0.025 0.025 0.024 0.024 0.024 0.024 0.023 0.023 Electricity 0.166 0.158 0.162 0.164 0.164 0.165 0.166 0.166 0.161 0.160 0.160

422

2007 CBECS Large Hospital Building List of Tables  

Annual Energy Outlook 2012 (EIA)

End Uses in Large Hospitals Table H3: End Use Equipment in Large Hospitals Table H4: Lighting and Window Features in Large Hospitals Table H5: Major Fuels Usage for Large...

423

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

424

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

I. Azevedo. 2012, Electricity consumption and energy savingsMcKenney. 2007. Energy consumption by consumer electronicsK. Roth. 2011. Energy Consumption of Consumer Electronics in

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

425

Table 1c. Off-Site Produced Energy (Site Energy)For Selected Industries,  

Gasoline and Diesel Fuel Update (EIA)

c c Page Last Modified: May 2010 Table 1c. Off-Site Produced Energy (Site Energy) for Selected Industries, 1998, 2002 and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 992 1,079 1,124 312 Beverage and Tobacco Products 109 104 101 313 Textile Mills 255 206 178 314 Textile Product Mills 49 60 72 315 Apparel 48 30 14 316 Leather and Allied Products 8 7 3 321 Wood Products 285 198 296 322 Paper 1,648 1,413 1,350 323 Printing and Related Support 97 98 85 324 Petroleum and Coal Products 1,475 1,290 1,434 325 Chemicals 3,377 3,154 2,772 326 Plastics and Rubber Products 327 347 336 327 Nonmetallic Mineral Products 921 960 1,105 331 Primary Metals 2,010 1,614 1,353 332 Fabricated Metal Products 441 387 396

426

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

with their free energy audit program. Meters were installedinstalled as part of an energy audit program. Users may be

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

427

Lookup tables to compute high energy cosmic ray induced atmospheric ionization and changes in atmospheric chemistry  

E-Print Network (OSTI)

A variety of events such as gamma-ray bursts and supernovae may expose the Earth to an increased flux of high-energy cosmic rays, with potentially important effects on the biosphere. Existing atmospheric chemistry software does not have the capability of incorporating the effects of substantial cosmic ray flux above 10 GeV . An atmospheric code, the NASA-Goddard Space Flight Center two-dimensional (latitude, altitude) time-dependent atmospheric model (NGSFC), is used to study atmospheric chemistry changes. Using CORSIKA, we have created tables that can be used to compute high energy cosmic ray (10 GeV - 1 PeV) induced atmospheric ionization and also, with the use of the NGSFC code, can be used to simulate the resulting atmospheric chemistry changes. We discuss the tables, their uses, weaknesses, and strengths.

Dimitra Atri; Adrian L. Melott; Brian C. Thomas

2008-04-20T23:59:59.000Z

428

Ambient-RF-Energy-Harvesting Sensor Node with Capacitor-Leakage-Aware Duty Cycle Control  

E-Print Network (OSTI)

of harvested energy. Thanks to these energy managements, we achieve efficient energy usage and maximize. Software energy managements for WSNs are typically realized by exploiting this feature and thus the goal by aggregation of the capacitor leakage characteristics and energy shortage risk. Table 1. Energy usage in long

Tentzeris, Manos

429

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

on vehicle usage and energy consumption. Journal of Urbanon vehicle usage and fuel consumption Jinwon Kim and Davidon vehicle usage and fuel consumption* Jinwon Kim and David

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

430

Resource and Fuels Usage Contacting the Authors  

E-Print Network (OSTI)

) % of 1990 usage Natural gas 577 24% Biomass 494 1190% Renewables 182 106% Nuclear 73 62% Coal 561 908 sectors · LDV is least carbon-intensive Total Energy (PJ) % of 1990 usage Natural gas 122 5% Biomass 891T activity) 9% line (218% PxT activity) In-State Emissions Total Energy (PJ) % of 1990 usage Natural gas 123

California at Davis, University of

431

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds--cadmium telluride (CdTe) and copper indium deselenide (CuInSe{sub 2}). More specifically, this paper summarized the toxicological information on cadmium (Cd) compounds;evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. 26 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1990-01-01T23:59:59.000Z

432

CDF GlideinWMS usage in grid computing of high energy physics  

SciTech Connect

Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector at Fermilab (CDF) collaboration to move beyond the usage of dedicated resources and start exploiting Grid resources. Nowadays, CDF experiment is increasingly relying on glidein-based computing pools for data reconstruction. Especially, Monte Carlo production and user data analysis, serving over 400 users by central analysis farm middleware (CAF) on the top of Condor batch system and CDF Grid infrastructure. Condor is designed as distributed architecture and its glidein mechanism of pilot jobs is ideal for abstracting the Grid computing by making a virtual private computing pool. We would like to present the first production use of the generic pilot-based Workload Management System (glideinWMS), which is an implementation of the pilot mechanism based on the Condor distributed infrastructure. CDF Grid computing uses glideinWMS for its data reconstruction on the FNAL campus Grid, user analysis and Monte Carlo production across Open Science Grid (OSG). We review this computing model and setup used including CDF specific configuration within the glideinWMS system which provides powerful scalability and makes Grid computing working like in a local batch environment with ability to handle more than 10000 running jobs at a time.

Zvada, Marian; /Fermilab /Kosice, IEF; Benjamin, Doug; /Duke U.; Sfiligoi, Igor; /Fermilab

2010-01-01T23:59:59.000Z

433

EIA Energy Efficiency-Table 5c. Economic and Physical Indicators for the  

Gasoline and Diesel Fuel Update (EIA)

Energy Efficiency > Manufacturing Trend Data, 1998, 2002, and 2006 > Table 5c Energy Efficiency > Manufacturing Trend Data, 1998, 2002, and 2006 > Table 5c Page Last Modified: May 2010 Table 5c. Economic and Physical Indicators for the Aluminum Industry (NAICS 3313), 1998, 2002, and 2006 Indicators MECS Survey Years 1998 2002 2006 Physical (Thousand Metric Tons) Primary Aluminum Production 3,713 2,707 2,284 Secondary Aluminum Production 3,440 2,930 3,560 Aluminum Imports 3,550 4,060 5,180 Aluminum Exports 1,590 1,590 2,820 Nominal Economic Indicators (Current Billion Dollars) Value of Shipments 57 48 42 Value Added 24 19 12 Real Economic Indicators (Billion 2000 Dollars) Value of Shipments 1 57 49 29 Value Added 2 23 20 8 Notes: 1. Deflated using BEA's chain-type price indices for value of shipments. 2. Deflated using BEA's chain-type price indices for value added.

434

Table 7.2 Average Prices of Purchased Energy Sources, 2010;  

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

Table 7.2 Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and NAICS Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Coke Oven (excluding or LPG and Natural Gas from Local

435

Summary of treatment, storage, and disposal facility usage data collected from U.S. Department of Energy sites  

SciTech Connect

This report presents an analysis for the US Department of Energy (DOE) to determine the level and extent of treatment, storage, and disposal facility (TSDF) assessment duplication. Commercial TSDFs are used as an integral part of the hazardous waste management process for those DOE sites that generate hazardous waste. Data regarding the DOE sites` usage have been extracted from three sets of data and analyzed in this report. The data are presented both qualitatively and quantitatively, as appropriate. This information provides the basis for further analysis of assessment duplication to be documented in issue papers as appropriate. Once the issues have been identified and adequately defined, corrective measures will be proposed and subsequently implemented.

Jacobs, A.; Oswald, K. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States); Trump, C. [EG and G Rocky Flats, Golden, CO (United States)

1995-04-01T23:59:59.000Z

436

PowerPedia: changing energy usage with the help of a community-based smartphone application  

Science Conference Proceedings (OSTI)

When it comes to conserving electricity, it is crucial for users to know how much energy is consumed by individual appliances. However, the technical feedback provided by existing energy consumption feedback systems in the form of dry numbers and intangible ... Keywords: Energy use, Feedback systems, Mobile computing, Smart meter

Markus Weiss; Thorsten Staake; Friedemann Mattern; Elgar Fleisch

2012-08-01T23:59:59.000Z

437

Energy usage/consumption analysis for La Quinta Royale, Corpus Christi, Texas  

SciTech Connect

A detailed analysis is given of energy consumption and energy use profiles for the La Quinta Royale, Corpus Christi, Texas. Data were collected primarily during the heating and cooling seasons and show where energy is used, how much is used, and when it is used. Functional energy use areas are the guest rooms, banquet kitchen, banquet rooms, passenger elevators, ice-maker and soft drink vending machine. Energy use monitored is analyzed in the areas of space heating and space cooling and domestic hot water. (LEW)

1981-12-01T23:59:59.000Z

438

FY 2007 State Table  

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

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

439

Summary report of energy usage/consumption analysis for six hotels/motels  

SciTech Connect

An analysis of energy consumption and energy use profiles for six hotels and motels of various types (transient, convention, resort) located in different geographical areas of the United States is summarized. Data include information collected at the six demonstration sites only during the heating and cooling seasons. Data show where the energy is used, how much is used and when it is used. A brief examination of strategies for reducing energy consumption is also included. Major hotel/motel functions are identified as: guest rooms, public areas, kitchens, dining areas, laundries, pools, elevators, and others. Energy use categories examined are: space heating, space cooling, domestic water heating, cooking, laundry dryers, lighting, HVAC auxiliaries, elevators, and others. The six hotels/motels are located in Vermont, Minnesota, Arizona, Georgia, and two in Texas. The building configuration, facilities, energy-using systems, and climatic conditions are described for each site. (LEW)

1981-12-01T23:59:59.000Z

440

Conversion Tables  

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

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

Note: This page contains sample records for the topic "tables energy usage" 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

A Practical and Cost Effective Demonstration of Efficient Energy Usage and Quality Management Using the NII  

SciTech Connect

In order to be competitive in the changing electric power industry, and to promote energy efficiency and conservation, electric power providers need to have access to information on the power system to a level of detail that has not been available in the past. This level of detail extends beyond the usual voltage, current, power, and energy quantities obtained from traditional utility SCADA systems.

1999-05-01T23:59:59.000Z

442

C:\\WEBSHARE\\WWWROOT\\forecastactuals\\tables2_18.wpd  

Annual Energy Outlook 2012 (EIA)

Tables 2 through 18 Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption,...

443

A large-scale study on predicting and contextualizing building energy usage  

E-Print Network (OSTI)

In this paper we present a data-driven approach to modeling end user energy consumption in residential and commercial buildings. Our model is based upon a data set of monthly electricity and gas bills, collected by a utility ...

Kolter, Jeremy Z.

444

Reducing energy usage in a manufacturing facility through a behavior change based approach  

E-Print Network (OSTI)

Many companies have developed energy reduction programs for their manufacturing facilities to reduce their operational costs while also decreasing their greenhouse gas emissions. The majority of these manufacturing facilities ...

Norelli, Michael A., IV (Michael Anthony)

2010-01-01T23:59:59.000Z

445

Californias Energy Future: Transportation Energy Use in California  

E-Print Network (OSTI)

37 Energy Usage Realisticfor reducing transportation energy usage and resulting GHGtotal light-duty fuel energy usage is approximately 49%

Yang, Christopher

2011-01-01T23:59:59.000Z

446

Table US8. Average Consumption by Fuels Used, 2005 Physical ...  

U.S. Energy Information Administration (EIA)

Wood (cords) Energy Information Administration 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table US8.

447

Kitchen Table Strategy: Home Inspectors Driving Demand for Home Energy Upgrades  

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

20/2012 20/2012 1 Benjamin Gromicko, InterNACHI "Kitchen Table" Strategy: Home Inspectors Driving Demand for Home Energy Upgrades 3/20/2012 2 Benjamin Gromicko, InterNACHI "Although the home performance industry's delivery of comprehensive energy and comfort improvements has been growing across the country, it continues to struggle in creating consumer attention and demand. Our industry's delivery timing is off. We are not yet engaging the homeowner at their sweet spot of making improvements -- right after they purchase a home! This is when they move most aggressively with all sorts of home improvement projects -- and, unfortunately, seldom with any concerns of energy use. I strongly believe the home inspection industry is in a prime position to educate new homeowners on the long-term

448

CBECS Buildings Characteristics --Revised Tables  

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

Buildings Use Tables Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the

449

How an experimental grid is used: The Grid5000 case and its impact on energy usage  

E-Print Network (OSTI)

1 Introduction: A day in the life of an experimental Grid The question of energy savings is a matter of concern since a long time in the mobile distributed systems. However, for the large-scale non-mobile distributed systems, which nowadays

Anne-ccile Orgerie; Laurent Lefvre; Jean-patrick Gelas

2008-01-01T23:59:59.000Z

450

Distributed Wireless Multi-Sensor Technologies, A Novel Approach to Reduce Motor Energy Usage  

Science Conference Proceedings (OSTI)

This report is the final report for the General Electric Distributed Wireless Multi-Sensor Technologies project. The report covers the research activities and benefits surrounding wireless technology used for industrial sensing applications. The main goal of this project was to develop wireless sensor technology that would be commercialized and adopted by industry for a various set of applications. Many of these applications will yield significant energy savings. One application where there was significant information to estimate a potential energy savings was focused on equipment condition monitoring and in particular electric motor monitoring. The results of the testing of the technology developed are described in this report along with the commercialization activities and various new applications and benefits realized.

Daniel Sexton

2008-03-28T23:59:59.000Z

451

Modeling high-energy cosmic ray induced terrestrial and atmospheric neutron flux: A lookup table  

E-Print Network (OSTI)

Under current conditions, the cosmic ray spectrum incident on the Earth is dominated by particles with energies solar flares, supernovae and gamma ray bursts produce high energy cosmic rays (HECRs) with drastically higher energies. The Earth is likely episodically exposed to a greatly increased HECR flux from such events, some of which lasting thousands to millions of years. The air showers produced by HECRs ionize the atmosphere and produce harmful secondary particles such as muons and neutrons. Neutrons currently contribute a significant radiation dose at commercial passenger airplane altitude. With higher cosmic ray energies, these effects will be propagated to ground level. This work shows the results of Monte Carlo simulations quantifying the neutron flux due to high energy cosmic rays at various primary energies and altitudes. We provide here lookup tables that can be used to determine neutron fluxes from primaries with total energies 1 GeV - 1 PeV. By convolution, one can compute the neutron flux for any arbitrary CR spectrum. Our results demonstrate that deducing the nature of primaries from ground level neutron enhancements would be very difficult.

Andrew Overholt; Adrian Melott; Dimitra Atri

2012-06-22T23:59:59.000Z

452

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

453

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

454

FY 2005 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

455

EIA Energy Efficiency-Table 2a. First Use for All Purposes (Primary a  

Gasoline and Diesel Fuel Update (EIA)

a a Page Last Modified: May 2010 Table 2a. Consumption of Energy (Primary 1 Energy) for All Purposes (First Use) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 1,468 1,579 1,665 312 Beverage and Tobacco Products 156 157 164 313 Textile Mills 459 377 304 314 Textile Product Mills 86 94 110 315 Apparel 84 54 27 316 Leather and Allied Products 14 11 5 321 Wood Products 652 520 625 322 Paper 3,224 2,805 2,825 323 Printing and Related Support 199 197 171 324 Petroleum and Coal Products 7,571 7,051 7,125 325 Chemicals 7,211 7,499 6,135 326 Plastics and Rubber Products 692 710 684 327 Nonmetallic Mineral Products 1,245 1,338 1,394

456

PHENIX (Pioneering High Energy Nuclear Interaction eXperiment): Data Tables and Figures from Published Papers  

DOE Data Explorer (OSTI)

The PHENIX Experiment is the largest of the four experiments currently taking data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is an exploratory experiment for the investigation of high energy collisions of heavy ions and protons. PHENIX is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons. The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma. More than 60 published papers and preprints are listed here with links to the full text and separate links to the supporting PHENIX data in plain text tables and to EPS and GIF figures from the papers.

457

A Study of the Electrical Energy Usage Patterns of a Texas Dairy  

E-Print Network (OSTI)

A one-year study was done on a modern dairy operation located in Hopkins County, Texas to determine the load patterns and total energy use of the major electrical loads in the dairy. It was found that the vacuum pumps for the milking machines consumed the most energy, followed by the water heater and milk coolers. Consumption for water heating and milk cooling was found to vary seasonally. Peak demands for the dairy occurred at 6 a.m. and 5 p.m. throughout the year during the morning and afternoon milkings. The morning peak occurred two hours prior to Texas Power & Light Company's winter peak hour, and the evening peak is coincident with TP&L's summer peak hour. It was estimated that a savings of approximately 33% on water heating kWh was attained through a waste heat recovery system connected to the milk coolers. The water heating load was found to have the highest load factor coincident with TP&L's summer peak of any of the loads monitored.

Schneider, K. C.; Pollard, K. W.

1984-01-01T23:59:59.000Z

458

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

459

EIA-Annual Energy Outlook 2010 - High Oil PriceTables  

Gasoline and Diesel Fuel Update (EIA)

of New Light-Duty Vehicle Size Class Attributes Excel Gif Table 62. Transportation Fleet Car and Truck Fuel Consumption by Type and Technology Excel Gif Table 63. Transportation...

460

Assessment of the potential of colloidal fuels in future energy usage. Final report. [97 references  

SciTech Connect

Pulverized coal has been an increasing important source of energy over the past century. Most large utility boilers, all modern coking plants, and many industrial boilers and blast furnaces employ pulverized coal as a major feed stream. In periods of oil shortages, such as during World Wars I and II, the concept of adding powdered coal to oil for use in combustion equipment originally designed for oil has been actively pursued but rarely used. Over this same period of time, there have been attempts to use air suspensions of coal dust in diesel engines in Germany, and in turbines in various countries. The economic advantages to be enjoyed by substitution of powdered coal in oil are not generally realized. Oil costs at $30/bbl represent a fuel value of about $5.00/10/sup 6/ Btu; coal at $25/ton is equivalent to approximately $1.00/10/sup 6/ Btu. Although capital costs for the use of coal are higher than those associated with the use of oil, coal is clearly becoming the least costly fuel. Not only are considerable cost advantages possible, but an improvement in balance of payments and an increase in reliability of fuel supplies are other potential benefits. It is therefore recommended that increased national attention be given to develop these finer grinds of carbonaceous fuels to be used in various suspending fluids. Technical areas where significant additional support appear desirable are described.

1980-02-25T23:59:59.000Z

Note: This page contains sample records for the topic "tables energy usage" 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

Table of Exhibits..................................................................................................... iii  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

Pjm Interconnection

2007-01-01T23:59:59.000Z

462

Annual Energy Outlook with Projections to 2025-Table 1. Summary of results  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Summary of results Table 1. Summary of results Energy/Economic Factors 2000 2001 2025 Reference Low Economic Growth High Economic Growth Low World Oil Price High World Oil Price Primary Production (quadrillion Btu) Petroleum 15.14 14.94 15.05 14.38 15.45 14.12 15.92 Natural Gas 19.50 19.97 27.47 25.24 28.72 26.99 27.99 Coal 22.58 23.97 29.29 27.81 31.08 29.18 29.74 Nuclear Power 7.87 8.03 8.43 8.43 8.43 8.43 8.43 Renewable Energy 5.96 5.33 8.78 8.26 9.38 8.82 8.76 Other 1.09 0.57 0.80 0.80 0.83 0.81 0.82 Total Primary Production 72.15 72.81 89.83 84.93 93.90 88.36 91.66 Net Imports (quadrillion Btu) Petroleum (including SPR) 22.28 23.29 41.23 37.63 45.82 44.06 37.97 Natural Gas 3.62 3.73 7.93 6.93 9.29 7.63 8.01 Coal/Other (- indicates export) -0.84 -0.54 0.27 0.22 0.38 0.26 0.27 Total Net Imports 25.06 26.48 49.43 44.78 55.49 51.96 46.25 Discrepancy -2.18 1.99 0.19

463

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

464

FY 2005 Laboratory Table  

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

Congressional Budget Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

465

Modeling high-energy cosmic ray induced terrestrial muon flux: A lookup table  

E-Print Network (OSTI)

On geological timescales, the Earth is likely to be exposed to an increased flux of high energy cosmic rays (HECRs) from astrophysical sources such as nearby supernovae, gamma ray bursts or by galactic shocks. Typical cosmic ray energies may be much higher than the ~ 1 GeV flux which normally dominates. These high-energy particles strike the Earth's atmosphere initiating an extensive air shower. As the air shower propagates deeper, it ionizes the atmosphere by producing charged secondary particles. Secondary particles such as muons and thermal neutrons produced as a result of nuclear interactions are able to reach the ground, enhancing the radiation dose. Muons contribute 85% to the radiation dose from cosmic rays. This enhanced dose could be potentially harmful to the biosphere. This mechanism has been discussed extensively in literature but has never been quantified. Here, we have developed a lookup table that can be used to quantify this effect by modeling terrestrial muon flux from any arbitrary cosmic ray spectra with 10 GeV - 1 PeV primaries. This will enable us to compute the radiation dose on terrestrial planetary surfaces from a number of astrophysical sources.

Dimitra Atri; Adrian L. Melott

2010-11-19T23:59:59.000Z

466

TableHC7.13.xls  

Annual Energy Outlook 2012 (EIA)

Q N Q 5 or More... 0.3 N Q Q Q Q Q Q Table HC7.13 Lighting Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for...

467

TableHC10.13.xls  

Gasoline and Diesel Fuel Update (EIA)

N Q Q Q 5 or More... 0.3 Q Q Q Q Lighting Usage Indicators U.S. Census Region Northeast Midwest Table HC10.13 Lighting...

468

Table C10. Energy Consumption by End-Use Sector, Ranked by ...  

U.S. Energy Information Administration (EIA)

R A N K I N G S. Title: All Consumption Tables.vp Author: KSM Created Date: 6/27/2013 12:52:48 PM ...

469

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

U.S. Energy Information Administration (EIA)

Table A1. U.S. Number of Vehicles, Vehicles-Miles, Motor Fuel Consumption and Expenditures, 2001: 2001 Household and Vehicle Characteristics

470

Brookhaven Logo Usage  

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

Logo Usage The Correct Usage of the BNL Logo - The following examples picture correct and incorrect use of the Laboratory logo. If you need assistance in using the logo, contact...

471

Context: Usage and Effectiveness  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. Context: Usage and Effectiveness. US Navy Aircraft Halon 1301 Effectivity Analysis.. Tedeschi, M.; Leach, W.; 1995. ...

2011-12-14T23:59:59.000Z

472

Energy Information Administration - Energy Efficiency-Table 6a- End uses of  

Gasoline and Diesel Fuel Update (EIA)

6a 6a Page Last Modified: June 2010 Table 6a. End Uses of Fuel Consumption per Value of Production, 1998, 2002, and 2006 (thousand Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 1998 3 2002 3 2006 3 Total 4 32.0 30.2 18.7 Net Electricity 5 3.0 3.8 2.8 Natural Gas 8.7 8.1 5.3 Coal 0.9 0.7 0.2 Boiler Fuel -- -- -- Coal 0.2 W 0.02 Residual Fuel Oil 0.2 * 0.1 Natural Gas 1.0 0.8 0.4 Process Heating -- -- -- Net Electricity 1.4 1.6 1.2 Residual Fuel Oil 0.4 * 0.2 Natural Gas 7.1 6.8 4.4 Machine Drive -- -- -- Net Electricity 1.3 1.8 1.3 Notes:1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

473

Energy Information Administration - Energy Efficiency-Table 6a- End uses of  

Gasoline and Diesel Fuel Update (EIA)

a a Table 7a. Offsite-Produced Fuel Consumption per Value Of Production 1998, 2002, and 2006 (Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 19983 20024 20064 Total NA 19,716 12,179 Electricity NA 3,839 2,846 Natural Gas NA 8,052 5,301 Coal NA 747 228 Residual Fuel NA 21 309 Coke and Breeze NA 6,496 3,025 Notes: 1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. 1998 data unavailable due to disclosure avoidance procedures in place at the time. 4. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas, coal, residual fuel oil or coke.

474

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

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

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

475

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

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

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

476

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

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

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

477

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

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

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

478

"Table A8. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

A8. Selected Energy Operating Ratios for Total Energy Consumption for" A8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Industry Group, and" " Selected Industries, 1991" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a Percent of","RSE" "SIC"," ","per Employee","of Value Added","of Shipments","Consumsption","Natural Gas","Row" "Code(a)","Industry Groups and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","(PERCENT)","(percent)","Factors"

479

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

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

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

480

"Table A47. Selected Energy Operating Ratios for Total Energy Consumption for"  

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

7. Selected Energy Operating Ratios for Total Energy Consumption for" 7. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a Percent of","RSE" "SIC"," ","per Employee","of Value Added","of Shipments","Consumption","Natural Gas","Row" "Code(a)","Industry Group and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

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481

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

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

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

482

EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for Selected  

Gasoline and Diesel Fuel Update (EIA)

b b Page Last Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 1,468 1,572 1,665 312 Beverage and Tobacco Products 156 156 166 313 Textile Mills 457 375 304 314 Textile Product Mills 85 94 110 315 Apparel 84 54 27 316 Leather and Allied Products 14 11 5 321 Wood Products 647 518 619 322 Paper 3,221 2,803 2,833 323 Printing and Related Support 199 197 171 324 Petroleum and Coal Products 3,873 3,454 3,657 325 Chemicals 4,851 4,803 4,181 326 Plastics and Rubber Products 691 707 683 327 Nonmetallic Mineral Products 1,235 1,331 1,385 331 Primary Metals 3,660 3,100 2,617 332 Fabricated Metal Products 791 706 670 333 Machinery 404 341 416 334 Computer and Electronic Products

483

EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected Industries,  

Gasoline and Diesel Fuel Update (EIA)

b b Page Last Modified: May 2010 Table 1b. End Uses of Fuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food 1,044 1,116 1,186 312 Beverage and Tobacco Products 108 104 109 313 Textile Mills 254 205 178 314 Textile Product Mills 49 60 72 315 Apparel 48 30 14 316 Leather and Allied Products 8 7 3 321 Wood Products 504 375 445 322 Paper 2,744 2,361 2,354 323 Printing and Related Support 98 98 85 324 Petroleum and Coal Products 3,622 3,202 3,396 325 Chemicals 3,704 3,769 3,195 326 Plastics and Rubber Products 327 348 336 327 Nonmetallic Mineral Products 969 1,052 1,105 331 Primary Metals 2,576 2,123 1,744 332 Fabricated Metal Products 441 387 397

484

TABLE OF CONTENTS  

E-Print Network (OSTI)

Table of Contents......i List of Tables.....ii

Ingleside Tx; Base Realignment

2010-01-01T23:59:59.000Z

485

EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...  

Gasoline and Diesel Fuel Update (EIA)

e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

486

EIA Energy Efficiency-Table 4b. Value of Production by Selected...  

Gasoline and Diesel Fuel Update (EIA)

b Page Last Modified: May 2010 Table 4b. Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars ) MECS Survey Years NAICS Subsector and Industry...

487

Table 1.2 Primary Energy Production by Source, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Natural Gas (Dry) Crude Oil 3: NGPL 4: Total: Hydro-electric Power 6: Geothermal 7: Solar/PV 8: Wind 9: Biomass 10: Total: 1949: ... refuse recovery. See Table 7.1.

488

Table 1.2 Primary Energy Production by Source, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Natural Gas (Dry) Crude Oil 3: NGPL 4: Total: Hydro-electric Power 6: Geothermal 7: Solar/PV 8: Wind 9: Biomass 10: Total: 1949. ... refuse recovery. See Table 7.1.

489

Table 1.2 Primary Energy Production by Source, 1949-2011 (Billion Btu)  

U.S. Energy Information Administration (EIA)

Natural Gas (Dry) Crude Oil 3: NGPL 4: Total: Hydro-electric Power 6: Geothermal 7: Solar/PV 8: Wind 9: Biomass 10: Total: 1949. ... refuse recovery. See Table 7.1.

490

Table 10.2c Renewable Energy Consumption: Electric Power Sector ...  

U.S. Energy Information Administration (EIA)

3 Solar thermal and photovoltaic (PV) electricity net generation (converted to Btu using the fossil-fuels heat rate-see Table A6). Notes: - The electric power sector ...

491

APS LOM Shop Usage  

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

Division XSD Groups Industry Argonne Home Advanced Photon Source APS LOM Shop Usage User Shop Access - Policies and Procedures User Shop Orientation User Shop...

492

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

493

FY 2013 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

494

FY 2009 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

495

EIA - Appendix A - Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Tables (2005-2035) Tables (2005-2035) International Energy Outlook 2010 Reference Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix A. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

496

EIA Energy Efficiency-Table 4a. Value of Shipments by Selected Industries,  

Gasoline and Diesel Fuel Update (EIA)

Table 4a Table 4a Page Last Modified: May 2010 Table 4a. Value of Shipments1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars ) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 430 448 472 312 Beverage and Tobacco Product Manufacturing 121 96 109 313 Textile Mills 56 47 37 314 Textile Product Mills 31 32 30 315 Apparel Manufacturing 65 45 30 316 Leather and Allied Product Manufacturing 10 6 6 321 Wood Product Manufacturing 92 89 100 322 Paper Manufacturing 168 156 153 323 Printing and Related Support Activities 103 93 92 324 Petroleum and Coal Products Manufacturing 227 242 265 325 Chemical Manufacturing 440 452 509 326 Plastics and Rubber Products Manufacturing 168 171 175

497

EIA Energy Efficiency-Table 3b. Value of Production a by Selected  

Gasoline and Diesel Fuel Update (EIA)

and 2006 > Table 3b and 2006 > Table 3b Page Last Modified: May 2010 Table 3b. Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 429 456 539 312 Beverage and Tobacco Product Manufacturing 103 104 125 313 Textile Mills 57 45 39 314 Textile Product Mills 31 31 33 315 Apparel Manufacturing 65 43 30 316 Leather and Allied Product Manufacturing 10 6 6 321 Wood Product Manufacturing 91 88 112 322 Paper Manufacturing 155 152 171 323 Printing and Related Support Activities 100 95 100 324 Petroleum and Coal Products Manufacturing 136 218 551 325 Chemical Manufacturing 419 452 662 326 Plastics and Rubber Products Manufacturing 164 172 212

498

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.

499

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

POWER PLANT WATER USAGE AND LOSS STUDY August 2005 Revised May 2007 Prepared for: The United States Department of Energy National Energy Technology Laboratory DOE Gasification...

500

Integrate Real-Time Weather with Thermostat Electrical Usage...  

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

Xiufeng Pang Weather and its dynamics are big drivers of energy usage. Integration of key weather variables - solar, wind, and temperature - into home energy management and demand...