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Note: This page contains sample records for the topic "btu end-use sectors" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

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

2

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

3

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect

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

Belzer, David B.

2006-12-04T23:59:59.000Z

4

Sectoral combustor for burning low-BTU fuel gas  

SciTech Connect

A high-temperature combustor for burning low-BTU coal gas in a gas turbine is disclosed. The combustor includes several separately removable combustion chambers each having an annular sectoral cross section and a double-walled construction permitting separation of stresses due to pressure forces and stresses due to thermal effects. Arrangements are described for air-cooling each combustion chamber using countercurrent convective cooling flow between an outer shell wall and an inner liner wall and using film cooling flow through liner panel grooves and along the inner liner wall surface, and for admitting all coolant flow to the gas path within the inner liner wall. Also described are systems for supplying coal gas, combustion air, and dilution air to the combustion zone, and a liquid fuel nozzle for use during low-load operation. The disclosed combustor is fully air-cooled, requires no transition section to interface with a turbine nozzle, and is operable at firing temperatures of up to 3000.degree. F. or within approximately 300.degree. F. of the adiabatic stoichiometric limit of the coal gas used as fuel.

Vogt, Robert L. (Schenectady, NY)

1980-01-01T23:59:59.000Z

5

End use energy consumption data base: transportation sector  

SciTech Connect

The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

Hooker, J.N.; Rose, A.B.; Greene, D.L.

1980-02-01T23:59:59.000Z

6

EIA - Appendix F-Reference Case Projections by End-Use Sector and Country  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Country Gruping Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Projections of Nuclear Generating Capacity Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. F1 Total World Delivered Energy Consumption by End-Use Sector and Fuel Table F1. Total World Delivered Energy Consumption by End-Use Sector and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

7

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 ...

8

EIA - Reference Case Projections by End-Use Sector and Region Tables  

Gasoline and Diesel Fuel Update (EIA)

6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) 6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) International Energy Outlook 2006 Reference Case Projections by End-Use Sector and Region Tables (2003-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 Total World Delivered Energy Consumption Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800.

10
11

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

E-Print Network (OSTI)

Homes End-Use Equipment Type Equipment Market Shares Index Heating ElecFurnace Gas Furnace LPG Furnace OilHomes (millions) End-Use Equipment Type Appliance stock in millions of units Index Heating FJec Furnace Gas Furnace L P G Furnace OilHomes End-Use Equipment Type Units Efficiency for Stock Equipment Index Heating Elec Furnace Btu.out/Wh.in Gas Furnace AFUE LPG Furnace AFUE Oil

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

12

Development of an End-Use Sector- Based Low-Carbon Indicator System for  

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

Development of an End-Use Sector- Based Low-Carbon Indicator System for Development of an End-Use Sector- Based Low-Carbon Indicator System for Cities in China Title Development of an End-Use Sector- Based Low-Carbon Indicator System for Cities in China Publication Type Conference Proceedings Year of Publication 2012 Authors Price, Lynn K., Nan Zhou, David Fridley, Hongyou Lu, Nina Zheng, Cecilia Fino-Chen, and Stephanie Ohshita Conference Name the ACEEE's 2012 Summer Study on Energy Efficiency in Buildings Date Published 08/2012 Publisher the American Council for an Energy-Efficient Economy Conference Location Pacific Grove, California, U.S.A. Keywords 12th five year plan, buildings, china, china energy, china energy group, co2 emissions, energy analysis and environmental impacts department, low carbon indicator, policy studies

13

AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division  

Open Energy Info (EERE)

Delivered Prices by End-Use Sector and Census Division Delivered Prices by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 137, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Data application/vnd.ms-excel icon AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division- Reference Case (xls, 140.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

14

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

Open Energy Info (EERE)

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

15

A new approach to estimate commercial sector end-use load shapes and energy use intensities  

SciTech Connect

We discuss the application of an end-use load shape estimation technique to develop annual energy use intensities (EUIs) and hourly end-use load shapes (LSs) for commercial buildings in the Pacific Gas and Electric Company (PG&E) service territory. Results will update inputs for the commercial sector energy and peak demand forecasting models used by PG&E and the California Energy Commission (CEC). EUIs were estimated for 11 building types, up to 10 end uses, 3 fuel types, 2 building vintages, and up to 5 climate regions. The integrated methodology consists of two major parts. The first part is the reconciliation of initial end-use load-shape estimates with measured whole-building load data to produce intermediate EUIs and load shapes, using LBL`s End-use Disaggregation Algorithm, EDA. EDA is a deterministic hourly algorithm that relies on the observed characteristics of the measured hourly whole-building electricity use and disaggregates it into major end-use components. The end-use EUIs developed through the EDA procedure represent a snap-shot of electricity use by building type and end-use for two regions of the PG&E service territory, for the year that disaggregation is performed. In the second part of the methodology, we adjust the EUIs for direct application to forecasting models based on factors such as climatic impacts on space-conditioning EUIs, fuel saturation effects, building and equipment vintage, and price impacts. Core data for the project are detailed on-site surveys for about 800 buildings, mail surveys ({approximately}6000), load research data for over 1000 accounts, and hourly weather data for five climate regions.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1994-08-01T23:59:59.000Z

16

Microsoft Word - US Industrial Sector Energy End Use Analysis_051812.docx  

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

United States Industrial Sector Energy End Use Analysis United States Industrial Sector Energy End Use Analysis Arman Shehabi, William R. Morrow, Eric Masanet This work was supported by the Advanced Manufacturing Office of the Energy Efficiency and Renewable Energy Program through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process

17

Fuel injection staged sectoral combustor for burning low-BTU fuel gas  

SciTech Connect

A high-temperature combustor for burning low-BTU coal gas in a gas turbine is described. The combustor comprises a plurality of individual combustor chambers. Each combustor chamber has a main burning zone and a pilot burning zone. A pipe for the low-BTU coal gas is connected to the upstream end of the pilot burning zone; this pipe surrounds a liquid fuel source and is in turn surrounded by an air supply pipe; swirling means are provided between the liquid fuel source and the coal gas pipe and between the gas pipe and the air pipe. Additional preheated air is provided by counter-current coolant air in passages formed by a double wall arrangement of the walls of the main burning zone communicating with passages of a double wall arrangement of the pilot burning zone; this preheated air is turned at the upstream end of the pilot burning zone through swirlers to mix with the original gas and air input (and the liquid fuel input when used) to provide more efficient combustion. One or more fuel injection stages (second stages) are provided for direct input of coal gas into the main burning zone. The countercurrent air coolant passages are connected to swirlers surrounding the input from each second stage to provide additional oxidant.

Vogt, Robert L. (Schenectady, NY)

1981-01-01T23:59:59.000Z

18

Fuel injection staged sectoral combustor for burning low-BTU fuel gas  

SciTech Connect

A high-temperature combustor for burning low-BTU coal gas in a gas turbine is described. The combustor comprises a plurality of individual combustor chambers. Each combustor chamber has a main burning zone and a pilot burning zone. A pipe for the low-BTU coal gas is connected to the upstream end of the pilot burning zone: this pipe surrounds a liquid fuel source and is in turn surrounded by an air supply pipe: swirling means are provided between the liquid fuel source and the coal gas pipe and between the gas pipe and the air pipe. Additional preheated air is provided by counter-current coolant air in passages formed by a double wall arrangement of the walls of the main burning zone communicating with passages of a double wall arrangement of the pilot burning zone: this preheated air is turned at the upstream end of the pilot burning zone through swirlers to mix with the original gas and air input (and the liquid fuel input when used) to provide more efficient combustion. One or more fuel injection stages (second stages) are provided for direct input of coal gas into the main burning zone. The countercurrent air coolant passages are connected to swirlers surrounding the input from each second stage to provide additional oxidant.

Vogt, Robert L. (Schenectady, NY)

1985-02-12T23:59:59.000Z

19

End-use electrification in the residential sector : a general equilibrium analysis of technology advancements  

E-Print Network (OSTI)

The residential sector in the U.S. is responsible for about 20% of the country's primary energy use (EIA, 2011). Studies estimate that efficiency improvements in this sector can reduce household energy consumption by over ...

Madan, Tanvir Singh

2012-01-01T23:59:59.000Z

20

LBL-34044 UC-1600 RESIDENTIAL SECTOR END-USE FORECASTING WITH...  

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

primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast...

Note: This page contains sample records for the topic "btu end-use sectors" 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

Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results  

SciTech Connect

This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

Koomey, J.G.; Brown, R.E.; Richey, R. [and others

1995-12-01T23:59:59.000Z

22

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

Information Center

2007-03-11T23:59:59.000Z

23

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

E-Print Network (OSTI)

Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.and Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

24

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

E-Print Network (OSTI)

Natural Gas Oil Lighting 0-1 hrs 1-2 his 2-3 hrs Usage levelgas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usagegas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usage

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

25

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1993-12-01T23:59:59.000Z

26

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

E-Print Network (OSTI)

Richard E. Brown, James W. Hanford, Alan H . Sanstad, andFrancis X . , James W. Hanford, Richard E. Brown, Alan H.place for these end-uses (Hanford et al. 1994, Hwang et al.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

27

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

E-Print Network (OSTI)

G. Koomey. 1994. Residential Appliance Data, Assumptions andunits) Table A 3 : Number of Appliances in Existing Homes (sector, including appliances and heating, ventilation, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

28

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

29

Table E4. Electricity Consumption (Btu) Intensities by End Use ...  

U.S. Energy Information Administration (EIA)

Total Space Heat-ing Cool-ing Venti-lation Water Heat-ing Light-ing Cook-ing Refrig-eration Office Equip-ment Com-puters Other All Buildings* ..... ...

30

" Row: End Uses;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ","Coal"," " " ",,,"Fuel Oil",,,"(excluding Coal" " ","Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)","RSE" " ","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Row"

31

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

32

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

33

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2010;" 8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2886,79,130,5211,69,868

34

" Row: End Uses;"  

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

7 End Uses of Fuel Consumption, 2006;" 7 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million" "End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)"

35

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

36

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

37

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

38

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

39

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

40

" Row: End Uses within NAICS Codes;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

Note: This page contains sample records for the topic "btu end-use sectors" 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

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

42

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

43

Figure 10.1 Renewable Energy Consumption (Quadrillion Btu)  

U.S. Energy Information Administration (EIA)

Figure 10.1 Renewable Energy Consumption (Quadrillion Btu) Total and Major Sources, 1949–2012 By Source, 2012 By Sector, 2012 Compared With Other Resources, 1949–2012

44

Industrial sector end use. Energy Consumption Data Base (ECDB) for 1975 and 1976. Volume I. Summary of 1976 results. Final report  

SciTech Connect

This report is the summary document of a three-volume report. It contains an introduction followed by tables of data containing the following information: 1976 national energy consumption by industry fuel type, and end use; 1976 regional energy consumption by industry fuel type, and census division; 1976 regional energy consumption by industry fuel type, and federal regions; 1976 regional energy consumption by industry fuel type, and PAD district; 1976 state energy consumption by industry fuel type, and by state. (PLG)

1980-12-15T23:59:59.000Z

45

Table 5.1 End Uses of Fuel Consumption, 2010;  

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

5.1 End Uses of Fuel Consumption, 2010; 5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process

46

Table 5.5 End Uses of Fuel Consumption, 2010;  

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

5 End Uses of Fuel Consumption, 2010; 5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process -- 0 4 3 1,362 2 23 -- Direct Uses-Total Process

47

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

48

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

49

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

50

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

51

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

52

The Btu tax is dead, long live the Btu tax  

SciTech Connect

The energy industry is powerful. That is the only explanation for its ability to jettison a cornerstone of the Clinton Administration's proposed deficit reduction package, the Btu tax plan, expected to raise about $71.5 billion over a five-year period. Clinton had proposed a broad-based energy tax of 25.7 cents per million Btus, and a surcharge of 34.2 cents on petroleum products, to be phased in over three years starting July 1, 1994. House Democrats went along, agreeing to impose a tax of 26.8 cents per million Btus, along with the 34.2-cent petroleum surcharge, both effective July 1, 1994. But something happened on the way to the Senate. Their version of the deficit reduction package contains no broad-based energy tax. It does, however, include a 4.3 cents/gallon fuel tax. Clinton had backed down, and House Democrats were left feeling abandoned and angry. What happened has as much to do with politics-particularly the fourth branch of government, lobbyists-as with a President who wants to try to please everyone. It turns out that almost every lawmaker or lobbyist who sought an exemption from the Btu tax, in areas as diverse as farming or ship and jet fuel used in international commercial transportation, managed to get it without giving up much in return. In the end, the Btu tax was so riddled with exemptions that its effectiveness as a revenue-raiser was in doubt. Meanwhile, it turns out that the Btu tax is not dead. According to Budget Director Leon Panetta, the Administration has not given up on the Btu tax and will fight for it when the reconciliation bill goes to a joint House-Senate conference.

Burkhart, L.A.

1993-07-15T23:59:59.000Z

53

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

54

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

55

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

56

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

57

Table E1A. Major Fuel Consumption (Btu) by End Use for All ...  

U.S. Energy Information Administration (EIA)

Warehouse and Storage ..... 456 194 14 20 6 132 Q 36 2 5 48 Other ..... 286 138 18 11 4 59 Q 10 Q 5 33 Vacant ...

58

Table E3A. Electricity Consumption (Btu) by End Use for All ...  

U.S. Energy Information Administration (EIA)

Released: September, 2008 Total Space Heat-ing Cool-ing Venti-lation Water Heat-ing Light-ing Cook-ing Refrig-eration Office Equip-ment Com-puters ...

59

Table E1. Major Fuel Consumption (Btu) by End Use for Non-Mall ...  

U.S. Energy Information Administration (EIA)

Released: September, 2008 Total Space Heat-ing Cool-ing Venti-lation Water Heat-ing Light-ing Cook-ing Refrig-eration Office Equip-ment Com-puters Other

60

Table E1. Major Fuel Consumption (Btu) by End Use for Non-Mall ...  

U.S. Energy Information Administration (EIA)

HVAC Equipment Upgrade..... 1,156 470 73 81 117 206 29 45 11 32 92 Lighting Upgrade ..... 1,085 485 62 75 92 184 24 49 10 28 76 Window ...

Note: This page contains sample records for the topic "btu end-use sectors" 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 E1. Major Fuel Consumption (Btu) by End Use for Non ...  

U.S. Energy Information Administration (EIA)

HVAC Maintenance ..... 792 29 106 105 13 302 6 83 17 40 91 Energy Management and Control System (EMCS) ..... 280 9 42 47 4 108 1 12 8 18 32 Window and ...

62

Table E3. Electricity Consumption (Btu) by End Use for Non ...  

U.S. Energy Information Administration (EIA)

Notes: Due to rounding, data may not sum to totals. HVAC = Heating, Ventilation, and Air Conditioning. Source: Energy Information Administration, ...

63

BTU convergence spawning gas market opportunities in North America  

Science Conference Proceedings (OSTI)

The so-called BTU convergence of US electric power and natural gas sectors is spawning a boom in market opportunities in the US Northeast that ensures the region will be North America`s fastest growing gas market. That`s the view of Catherine Good Abbott, CEO of Columbia Gas Transmission Corp., who told a Ziff Energy conference in Calgary that US Northeast gas demand is expected to increase to almost 10 bcfd in 2000 and more than 12 bcfd in 2010 from about 8 bcfd in 1995 and only 3 bcfd in 1985. The fastest growth will be in the US Northeast`s electrical sector, where demand for gas is expected to double to 4 bcfd in 2010 from about 2 bcfd in 1995. In other presentations at the Ziff Energy conference, speakers voiced concerns about the complexity and speed of the BTU convergence phenomenon and offered assurances about the adequacy of gas supplies in North American to meet demand growth propelled by the BTU convergence boom. The paper discusses the gas demand being driven by power utilities, the BTU convergence outlook, electric power demand, Canadian production and supply, and the US overview.

NONE

1998-06-29T23:59:59.000Z

64

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

65

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

66

Table 5.2 End Uses of Fuel Consumption, 2010;  

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

2 End Uses of Fuel Consumption, 2010; 2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280

67

Table 5.7 End Uses of Fuel Consumption, 2010;  

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

7 End Uses of Fuel Consumption, 2010; 7 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 845,727 13 22 5,064 18 39 Indirect Uses-Boiler Fuel 12,979 7 3 2,074 3 26 Conventional Boiler Use 12,979 3 1 712 1 3 CHP and/or Cogeneration Process -- 4 3 1,362 2 23 Direct Uses-Total Process 675,152 4 9 2,549 7 13 Process Heating

68

Table 5.6 End Uses of Fuel Consumption, 2010;  

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

6 End Uses of Fuel Consumption, 2010; 6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280 -- Process Cooling and Refrigeration -- 182 * Q 25

69

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

4 End Uses of Fuel Consumption, 2010; 4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP and/or Cogeneration Process -- 26 15 1,401 7 500 Direct Uses-Total Process 2,304 26 54 2,623 29 289 Process Heating 318 25 14 2,362 24 280 Process Cooling and Refrigeration

70

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

71

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

72

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

73

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

74

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

75

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

76

Office Buildings - End-Use Equipment  

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

End-Use Equipment End-Use Equipment The types of space heating equipment used in office buildings were similar to those of the commercial buildings sector as a whole (Table 8 and Figure 5). Furnaces were most used followed by packaged heating systems. Individual space heaters were third-most used but were primarily used to supplement the building's main heating system. Boilers and district heat systems were more often used in larger buildings. Table 8. Types of Heating Equipment Used in Office Buildings, 2003 Number of Buildings (thousand) Total Floorspace (million square feet) All Buildings* All Office Buildings All Buildings* All Office Buildings All Buildings 4,645 824 64,783 12,208 All Buildings with Space Heating 3,982 802 60,028 11,929 Heating Equipment (more than one may apply)

77

EIA - International Energy Outlook 2009-Transportation Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

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

78

1999 Commercial Buildings Characteristics--Energy Sources and End Uses  

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

Energy Sources and End Uses Energy Sources and End Uses Topics: Energy Sources and End Uses End-Use Equipment Conservation Features and Practices Energy Sources and End Uses CBECS collects information that is used to answer questions about the use of energy in the commercial buildings sector. Questions such as: What kind of energy sources are used? What is energy used for? and What kinds of equipment use energy? Energy Sources Nearly all commercial buildings used at least one source of energy for some end use (Figure 1). Electricity was the most commonly used energy source in commercial buildings (94 percent of buildings comprising 98 percent of commercial floorspace). More than half of commercial buildings (57 percent) and two-thirds of commercial floorspace (68 percent) were served by natural gas. Three sources-fuel oil, district heat, and district chilled water-when used, were used more often in larger buildings.

79

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network (OSTI)

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping, dilution, a reaction ingredient, etc. These classifications are termed 'Btu' loads or 'Pound' loads. Some final end uses of steam are actually a combination of the two. The classification of steam loads is extremely important to the overall economics of the industrial plant steam system. These economic effects are explained in detail as they impact on both the thermal efficiency and the heat power cycle efficiency of an industrial system. The use of a powerful steam system mass and energy modeling program called MESA (Modular Energy System Analyzer, The MESA Company) in identifying and accurately evaluating these effects is described.

Waterland, A. F.

1983-01-01T23:59:59.000Z

80

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

Annual Energy Outlook 2012 (EIA)

Transportation sector energy demand Growth in transportation energy consumption flat across projection figure data The transportation sector consumes 27.1 quadrillion Btu of energy...

Note: This page contains sample records for the topic "btu end-use sectors" 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

Diagram 5. Electricity Flow, 2007 (Quadrillion Btu)  

E-Print Network (OSTI)

generation. f Transmission and distribution losses (electricity losses that occur between the pointDiagram 5. Electricity Flow, 2007 (Quadrillion Btu) Energy Information Administration / Annual Energy Review 2007 221 Coal 20.99 Nuclear Electric Power 8.41 Energy Consumed To Generate Electricity 42

Bensel, Terrence G.

82

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 ...

83

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 ...

84

MSN YYYYMM Value Column Order Description Unit FFPRBUS Total Fossil Fuels Production Quadrillion Btu  

Gasoline and Diesel Fuel Update (EIA)

MSN YYYYMM Value Column Order Description Unit MSN YYYYMM Value Column Order Description Unit FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu FFPRBUS Total Fossil Fuels Production Quadrillion Btu

85

Utah Heat Content of Natural Gas Deliveries to Consumers (BTU...  

Annual Energy Outlook 2012 (EIA)

Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Utah Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Decade Year-0 Year-1 Year-2...

86

Ohio Heat Content of Natural Gas Deliveries to Consumers (BTU...  

Gasoline and Diesel Fuel Update (EIA)

Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Ohio Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Decade Year-0 Year-1 Year-2...

87

Idaho Heat Content of Natural Gas Deliveries to Consumers (BTU...  

Gasoline and Diesel Fuel Update (EIA)

Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Idaho Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Decade Year-0 Year-1 Year-2...

88

Texas Heat Content of Natural Gas Deliveries to Consumers (BTU...  

Annual Energy Outlook 2012 (EIA)

Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Texas Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Decade Year-0 Year-1 Year-2...

89

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

Gasoline and Diesel Fuel Update (EIA)

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

90

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

91

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

92

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

93

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.

94

End-use taxes: Current EIA practices  

Science Conference Proceedings (OSTI)

There are inconsistencies in the EIA published end-use price data with respect to Federal, state, and local government sales and excise taxes; some publications include end-use taxes and others do not. The reason for including these taxes in end-use energy prices is to provide consistent and accurate information on the total cost of energy purchased by the final consumer. Preliminary estimates are made of the effect on prices (bias) reported in SEPER (State Energy Price and Expenditure Report) resulting from the inconsistent treatment of taxes. EIA has undertaken several actions to enhance the reporting of end-use energy prices.

Not Available

1994-08-17T23:59:59.000Z

95

,"Texas Natural Gas Consumption by End Use"  

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

,"Workbook Contents" ,"Texas Natural Gas Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

96

,"California Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural...

97

,"Tennessee Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural...

98

,"Colorado Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural...

99

,"Washington Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural...

100

,"Virginia Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural...

Note: This page contains sample records for the topic "btu end-use sectors" 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

,"Nebraska Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural...

102

,"Pennsylvania Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania...

103

,"Arkansas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural...

104

,"Kentucky Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural...

105

,"Mississippi Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural...

106

,"Michigan Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural...

107

,"Delaware Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural...

108

,"Maryland Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural...

109

,"Louisiana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural...

110

,"Missouri Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural...

111

,"Oklahoma Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural...

112

,"Idaho Natural Gas Consumption by End Use"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Consumption by End Use",6,"Monthly","102013","1151989" ,"Release...

113

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

114

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

115

Energy End-Use Intensities in Commercial Buildings1992 -- Overview/End-Use  

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

> Overview > Overview 1992 Energy End-Use Intensities Overview Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. End-Use Estimation Methodology The end-use estimates had two main sources: (1) survey data collected by the Commercial Buildings Energy Consumption Survey (CBECS) and (2) building energy simulations provided by the Facility Energy Decision Screening (FEDS) system. The CBECS provided data on building characteristics and total energy consumption (i.e., for all end uses) for a national sample of commercial buildings. Using data collected by the CBECS, the FEDS engineering modules were used to produce estimates of energy consumption by end use. The FEDS engineering estimates were then statistically adjusted to match the CBECS total energy consumption.

116

,"Idaho Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas...

117

,"Wyoming Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas...

118

,"Alaska Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas...

119

,"Oregon Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas...

120

,"Alabama Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas...

Note: This page contains sample records for the topic "btu end-use sectors" 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

,"Florida Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas...

122

,"Arizona Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas...

123

,"Kansas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas...

124

,"Montana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas...

125

,"Nevada Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas...

126

,"Utah Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas...

127

,"Indiana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas...

128

,"Texas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas...

129

,"Ohio Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas...

130

End-Use Taxes: Current EIA Practices  

Reports and Publications (EIA)

Addresses the Energy Information Administration's (EIA) current practices in treating taxes in the calculation of end use prices in the State Energy Price and Expenditure Report 1990 (SEPER), and other EIA data publications.

Information Center

1994-08-01T23:59:59.000Z

131

Building Energy Software Tools Directory: BTU Analysis Plus  

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

Plus Plus BTU Analysis Plus logo. Heat load calculation program that performs comprehensive heat load studies with hardcopy printouts of the results. The BTU Analysi Plus program is designed for general heating, air-conditioning, and commerical studies. Since 1987, the BTU Analysis family of programs have been commercially distributed and are marketed through professional organizations, trade advertisements, and word of mouth. They are currently used in six (6) foriegn countries and the U.S. Used in temperate, tropic, artic, and arid climates. They have proved themselves easy to use, accurate and productive again and again. A version of BTU Analysis Plus was adopted for use in the revised HEATING VENTILATING AND AIR CONDITIONING FUNDAMENTALS by Raymond A. Havrella.

132

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

133

Biomass Resource Allocation among Competing End Uses  

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

Biomass Resource Allocation Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman, Yolanda Lin, Trieu Mai, Andrew Martinez, David Mulcahy, Walter Short, Travis Simpkins, and Caroline Uriarte National Renewable Energy Laboratory Corey Peck Lexidyne, LLC Technical Report NREL/TP-6A20-54217 May 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman,

134

China End-Use Energy Demand Modeling  

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

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

135

Biomass Resource Allocation among Competing End Uses  

DOE Green Energy (OSTI)

The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

2012-05-01T23:59:59.000Z

136

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

Gasoline and Diesel Fuel Update (EIA)

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

137

Commercial building end-use energy metering inventory  

SciTech Connect

Pacific Northwest Laboratory conducted a comprehensive inventory of end-use metered data. The inventory did not discover many sources of metered end-use data; however, research into existing data bases and extensive discussions with professionals associated with building energy conservation have enabled a clear characterization to be developed of the types of metered data that are required to further energy conservation in commercial buildings. Based on the results of the inventory and this clarification of data requirements, the adequacy of existing data bases has been assessed, and recommendations have been developed for future federal data collection efforts. A summary of sources of existing metered end-use data is provided in Section 2.1 and its adequacy has been summarized. Collection of further end-use metered data is both desirable and valuable for many areas of building energy conservation research. Empirical data are needed to address many issues which to date have been addressed using only simulation techniques. The adequacy of using simulation techniques for various purposes needs to be assessed through comparison with measured data. While these data are expensive to acquire, it is cost-effective to do so in the long run, and the need is not being served by the private market. The preceding conclusion based on results from the inventory of existing data highlights two important facts: First, although the data are widely desired in the private sector, they are not widely available. Second, where suitable data are publicly available and contain the desired supporting information, their collection has generally been funded by government-sponsored research.

Heidell, J.A.; Mazzucchi, R.P.; Reilly, R.W.

1985-03-01T23:59:59.000Z

138

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

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

Energy Consumption: Electric Power Sector, 1949-2011" " (Billion Btu)" "Year",,,"Geothermal 2",,"SolarPV 3",,"Wind 4",,"Biomass",,,,,,"Total" ,"Hydroelectric" ,"Power...

139

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

140

Property:Geothermal/AnnualGenBtuYr | Open Energy Information  

Open Energy Info (EERE)

AnnualGenBtuYr AnnualGenBtuYr Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/AnnualGenBtuYr" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 5.3 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 72.5 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 5 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 7 + Americulture Aquaculture Low Temperature Geothermal Facility + 17 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 6.5 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 1.8 +

Note: This page contains sample records for the topic "btu end-use sectors" 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

Building Energy Software Tools Directory: BTU Analysis REG  

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

REG REG BTU Analysis REG logo. Heat load calculation program that performs comprehensive heat load studies with hardcopy printouts of the results. The REG program is designed for general heating, air-conditioning, and light commercial studies. Since 1987, the BTU Analysis family of programs have been commercially distributed and are marketed through professional organizations, trade advertisements, and word of mouth. They are currently used in six (6) foriegn countries and the U.S. Used in temperate, tropic, artic, and arid climates. They have proved themselves easy to use, accurate and productive again and again. A version of BTU Analysis, was adopted for use in the revised HEATING VENTILATING AND AIR CONDITIONING FUNDAMENTALS by Raymond A. Havrella. Keywords

142

Property:Geothermal/CapacityBtuHr | Open Energy Information  

Open Energy Info (EERE)

CapacityBtuHr CapacityBtuHr Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/CapacityBtuHr" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 0.8 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 10.3 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 2 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 1 + Americulture Aquaculture Low Temperature Geothermal Facility + 2.4 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 3 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 0.3 +

143

India Energy Outlook: End Use Demand in India to 2020  

SciTech Connect

Integrated economic models have been used to project both baseline and mitigation greenhouse gas emissions scenarios at the country and the global level. Results of these scenarios are typically presented at the sectoral level such as industry, transport, and buildings without further disaggregation. Recently, a keen interest has emerged on constructing bottom up scenarios where technical energy saving potentials can be displayed in detail (IEA, 2006b; IPCC, 2007; McKinsey, 2007). Analysts interested in particular technologies and policies, require detailed information to understand specific mitigation options in relation to business-as-usual trends. However, the limit of information available for developing countries often poses a problem. In this report, we have focus on analyzing energy use in India in greater detail. Results shown for the residential and transport sectors are taken from a previous report (de la Rue du Can, 2008). A complete picture of energy use with disaggregated levels is drawn to understand how energy is used in India and to offer the possibility to put in perspective the different sources of end use energy consumption. For each sector, drivers of energy and technology are indentified. Trends are then analyzed and used to project future growth. Results of this report provide valuable inputs to the elaboration of realistic energy efficiency scenarios.

de la Rue du Can, Stephane; McNeil, Michael; Sathaye, Jayant

2009-03-30T23:59:59.000Z

144

Energy End-Use Intensities in Commercial Buildings 1992 - Index...  

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

2 Energy End-Use Intensities 1992 Energy End-Use Intensities Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating,...

145

Energy End-Use Intensities in Commercial Buildings 1995 - Index...  

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

1995 End-Use Data 1995 End-Use Data Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating, cooling, lighting, etc.)...

146

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Commercial Mkt trends Market Trends The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting. See more issues Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

147

Table 5.3 End Uses of Fuel Consumption, 2010;  

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

Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and...

148

Energy use and intensity in the industrial sector, 1972 - 1991  

SciTech Connect

Energy use in the United States is substantially lower now than it would have been had energy intensities not fallen after the oil price shocks of the 1970s. The United States would have consumed over 30 quadrillion Btu (QBtu) more energy in 1991 if the energy-GDP ratio (energy divided by gross domestic product) had remained at its 1972 value. Much of this improvement has stemmed from developments within the industrial sector. This paper examines industrial energy use from two perspectives. First, the contribution of the industrial sector to the decline in the overall energy-GDP ratio is estimated. Second, the components of change in conservation trends within the industrial sector are examined. This part of the analysis identifies the change in overall industrial intensity (total energy consumption/total industrial output) that is due to improvements in energy intensity at the individual industry level in comparison to various aspects of the composition of industrial output. This paper is based upon recent work conducted by Pacific Northwest Laboratory for the Office of Energy Efficiency and Alternative Fuels Policy, U.S. Department of Energy. Discussion of other end-use sectors and some additional analysis of industrial sector energy trends is found in Energy Conservation Trends - Understanding the Factors Affecting Conservation Gains and their Implications for Policy Development.

Belzer, D.B.

1995-08-01T23:59:59.000Z

149

Leveraging Limited Data Resources: Developing Commercial End-Use Information: B.C. Hydro Case Study  

Science Conference Proceedings (OSTI)

Using an innovative strategy, EPRI has combined model-based sampling, building total load research data, audits, DOE-2 models, and borrowed end-use data to produce statistically reliable end-use information for the commercial office sector. This project demonstrates that end-use data can be developed in shorter time, at less expense, with more statistically reliable results than conventionally thought. This report is available only to funders of Program 101A or 101.001. Funders may download this report a...

1996-02-07T23:59:59.000Z

150

Energy End-Use Intensities in Commercial Buildings 1989  

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

9 Energy End-Use Intensities 1989 Energy End-Use Intensities Overview Full Report Tables National estimates and analysis of energy consumption by fuel (electricity, natural gas,...

151

Transportation and Handling of Medium Btu Gas in Pipelines  

Science Conference Proceedings (OSTI)

Coal-derived medium btu gas can be safely transported by pipeline over moderate distances, according to this survey of current industrial pipeline practices. Although pipeline design criteria will be more stringent than for natural gas pipelines, the necessary technology is readily available.

1984-03-01T23:59:59.000Z

152

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 ...

153

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 ...

154

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

155

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 ...

156

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

157

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

158

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

159

Environmental Permitting of a Low-BTU Coal Gasification Facility  

E-Print Network (OSTI)

The high price of natural gas and fuel oil for steam/power generation has alerted industry's decision makers to potentially more economical ways to provide the needed energy. Low-Btu fuel gas produced from coal appears to be an attractive alternate that merits serious consideration since only relatively small modifications to the existing oil or gas burner system may be required, and boiler derating can be minimized. The environmental permitting and planning process for a low-Btu coal gasification facility needs to address those items that are not only unique to the gasification process itself, but also items generic to conventional firing of coal. This paper will discuss the environmental data necessary for permitting a low-Btu gasification facility located in the State of Louisiana. An actual case study for a 500,000 lb/hr natural gas-fired process steam plant being converted to low Btu gas will be presented. Typical air, water and solid waste effluents that must be considered will also be described.

Murawczyk, C.; Stewart, J. T.

1983-01-01T23:59:59.000Z

160

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

Note: This page contains sample records for the topic "btu end-use sectors" 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

Realizing Building End-Use Efficiency with Ermerging Technologies  

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

Information about the implementation of emerging technologies to maximize end-use efficiency in buildings.

162

High btu gas from peat. A feasibility study. Part 1. Executive summary. Final report  

SciTech Connect

In September, 1980, the US Department of Energy (DOE) awarded a Grant (No. DE-FG01-80RA50348) to the Minnesota Gas Company (Minnegasco) to evaluate the commercial viability - technical, economic and environmental - of producing 80 million standard cubic feet per day (SCFD) of substitute natural gas (SNG) from peat. The proposed product, high Btu SNG would be a suitable substitute for natural gas which is widely used throughout the Upper Midwest by residential, commercial and industrial sectors. The study team consisted of Dravo Engineers and Constructors, Ertec Atlantic, Inc., The Institute of Gas Technology, Deloitte, Haskins and Sells and Minnegasco. Preliminary engineering and operating and financial plans for the harvesting, dewatering and gasification operations were developed. A site in Koochiching County near Margie was chosen for detailed design purposes only; it was not selected as a site for development. Environmental data and socioeconomic data were gathered and reconciled. Potential economic data were gathered and reconciled. Potential impacts - both positive and negative - were identified and assessed. The peat resource itself was evaluated both qualitatively and quantitatively. Markets for plant by-products were also assessed. In summary, the technical, economic, and environmental assessment indicates that a facility producing 80 billion Btu's per day SNG from peat is not commercially viable at this time. Minnegasco will continue its efforts into the development of peat and continue to examine other options.

Not Available

1984-01-01T23:59:59.000Z

163

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.

164

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

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

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

165

Energy End-Use Intensities in Commercial Buildings 1992  

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

Overview > Tables Overview > Tables 1992 Energy End-Use Intensities Tables Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. divider line 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 line Tables - (file size 31,655 bytes), pages 6. - requires Adobe Acrobat Reader Consumption of All Major Fuels by End Uses, 1992 Energy End-Use Intensities for All Major Fuels, 1992 Consumption of Electricity by End Uses, 1992 Energy End-Use Intensities for Electricity, 1992

166

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

167

Energy End-Use Patterns in Full-Service Hotels: A Case Study  

SciTech Connect

The U.S. Department of Energy (DOE) recently initiated a program -- Commercial Building Partnerships (CBP) -- to work with private-sector companies in the design of highly-efficient retrofit and new construction projects. Pacific Northwest National Laboratory (PNNL) is conducting a project with a major hotel company to retrofit a full-service, large hotel with the goal of reducing energy consumption by at least 30%. The first step of the project was an intensive metering and monitoring effort aimed at understanding energy end use patterns in the hotel. About 10% of the guest rooms (32), as well as circuits for most of the end uses in public spaces (lighting, elevators, air handlers and other HVAC system components, and various equipment), were equipped with meters. Data are being collected at 1- or 5-minute intervals and downloaded on a monthly basis for analysis. This paper presents results from the first four months of the monitoring effort, which revealed energy end-use consumption patterns, variability of guest room energy use, daily load curves, monthly variations, and other aspects of hotel energy use. Metered end-use data for hotels at this level of detail are not available from any currently-available public sources. This study presents unique information and insight into energy end-use patterns in the lodging sector of commercial buildings and can also serve as a case study of a complex sub-metering project.

Placet, Marylynn; Katipamula, Srinivas; Liu, Bing; Dirks, James A.; Xie, YuLong; Sullivan, Greg; Walent, Jim; Williamson, Rebecca

2010-06-30T23:59:59.000Z

168

U.S. Building-Sector Energy Efficiency Potential  

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

Building-Sector Energy Efficiency Potential Building-Sector Energy Efficiency Potential Title U.S. Building-Sector Energy Efficiency Potential Publication Type Journal Article LBNL Report Number LBNL-1096E Year of Publication 2008 Authors Brown, Richard E., Sam Borgeson, Jonathan G. Koomey, and Peter J. Biermayer Date Published 09/2008 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-1096E Abstract This paper presents an estimate of the potential for energy efficiency improvements in the U.S. building sector by 2030. The analysis uses the Energy Information Administration's AEO 2007 Reference Case as a business-as-usual (BAU) scenario, and applies percentage savings estimates by end use drawn from several prior efficiency potential studies. These prior studies include the U.S. Department of Energy's Scenarios for a Clean Energy Future (CEF) study and a recent study of natural gas savings potential in New York state. For a few end uses for which savings estimates are not readily available, the LBNL study team compiled technical data to estimate savings percentages and costs of conserved energy. The analysis shows that for electricity use in buildings, approximately one-third of the BAU consumption can be saved at a cost of conserved energy of 2.7 ¢/kWh (all values in 2007 dollars), while for natural gas approximately the same percentage savings is possible at a cost of between 2.5 and 6.9 $/million Btu (2.4 to 6.6 $/GJ). This cost-effective level of savings results in national annual energy bill savings in 2030 of nearly $170 billion. To achieve these savings, the cumulative capital investment needed between 2010 and 2030 is about $440 billion, which translates to a 2-1/2 year simple payback period, or savings over the life of the measures that are nearly 3.5 times larger than the investment required (i.e., a benefit-cost ratio of 3.5).

169

Monitoring of Electrical End-Use Loads in Commercial Buildings  

E-Print Network (OSTI)

Southern California Edison is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing energy management programs oriented toward end-use applications. The focus of the program is on five major types of commercial buildings: offices, grocery stores, restaurants, retail stores, and warehouses. End-use metering equipment is installed at about 50 buildings, distributed among these five types. The buildings selected have average demands of 100 to 300 kW. The metered end-uses vary among building types and include HVAC, lighting, refrigeration. plug loads, and cooking. Procedures have been custom-designed to facilitate collection and validation of the end-use load data. For example, the Load Profile Viewer is a PC-based software program for reviewing and validating the end-use load data.

Martinez, M.; Alereza, T.; Mort, D.

1988-01-01T23:59:59.000Z

170

sector | OpenEI  

Open Energy Info (EERE)

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

171

"Economic","per Employee","of Value Added","of Shipments" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)"  

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

2 Relative Standard Errors for Table 6.2;" 2 Relative Standard Errors for Table 6.2;" " Unit: Percents." ,,,"Consumption" " ",,"Consumption","per Dollar" " ","Consumption","per Dollar","of Value" "Economic","per Employee","of Value Added","of Shipments" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)" ,"Total United States" "Value of Shipments and Receipts" "(million dollars)" " Under 20",3,3,3 " 20-49",5,5,4 " 50-99",6,5,4 " 100-249",5,5,4 " 250-499",7,9,7 " 500 and Over",3,2,2 "Total",2,2,2

172

Energy End-Use Intensities in Commercial Buildings 1989 -- Executive  

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

9 Energy End-Use Intensities > Executive Summary 9 Energy End-Use Intensities > Executive Summary Executive Summary Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. divider line The demand for energy in U.S. stores, offices, schools, hospitals, and other commercial buildings has been increasing. This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and "other." The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand.

173

Monitoring of electrical end-use loads in commercial buildings  

Science Conference Proceedings (OSTI)

A California utility is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing energy management programs oriented toward end-use applications. The focus of the program is on five major types of commercial buildings: offices, grocery stores, restaurants, retail stores, and warehouses. End-use metering equipment is installed at about 50 buildings selected have average demands of 100kW to 300 kW. The metered end-uses vary among building types and include HVAC, lighting, refrigeration, plug loads, and cooking. Procedures have been custom-designed to facilitate collection and validation of the end-use load data. PC-based software programs have been developed for reviewing and validating the end-sue load data and for generating reports.

Martinez, M. (Southern California Edison, CA (US)); Alereza, T.; Mort, D. (ADM Associates, Sacramento, CA (US))

1989-01-01T23:59:59.000Z

174

Service Report Energy Information Administration Office of Energy Markets and End Use  

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

Energy Information Administration Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, D C 20585 SR/EEUD/86/01 Residential Conservation Measures Energy End Use Division Office of Energy Markets and End Use Energy Information Administration July 1986 This report has not received a complete technical review by the Energy In formation Administration (EIA) and, therefore, should not be represented as an official EIA product. PREFACE This study was undertaken at the request of Senator James A. McClure, Chairman, Committee on Energy and Natural Resources, United States Senate. The purpose of the study is to examine the potential for achieving energy savings in the residential sector through conservation measures. The report is to be submitted

175

Figure 60. Energy intensity of selected commercial end uses ...  

U.S. Energy Information Administration (EIA)

Refrigeration Lighting Heating, cooling, and ventilation Other 2040.00 2011.00 ... Energy intensity of selected commercial end uses, 2011 and 2040 ...

176

Table H2: Fuels and End Uses in Large Hospitals  

U.S. Energy Information Administration (EIA)

District Chilled Water ..... Propane ..... Space-Heating ... Cooling Energy Sources Water-Heating Energy Sources Cooking Energy Sources Energy End Uses (more than

177

Solid-State Lighting: Residential Lighting End-Use Consumption  

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

Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The...

178

Energy End-Use Intensities in Commercial Buildings  

U.S. Energy Information Administration (EIA)

DOE/EIA-0555(94)/2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information ...

179

Energy End-Use Intensities in Commercial Buildings  

Annual Energy Outlook 2012 (EIA)

2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information Administration Office of Energy...

180

,"New Mexico Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Consumption by End Use",11,"Annual",2012,"6301967" ,"Release Date:","10...

Note: This page contains sample records for the topic "btu end-use sectors" 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 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)

182

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

183

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)

184

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

185

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

186

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)

187

EIA - International Energy Outlook 2009-Transportation Sector...  

Gasoline and Diesel Fuel Update (EIA)

2009 Figure 69. OECD and Non-OECD Transportation Sector Liquids Consumption, 2006-2030 Figure 70. World Liquids Consumption by End-Use Sector, 2006-2030 Figure 71. OECD and...

188

Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1  

Science Conference Proceedings (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

1994-05-01T23:59:59.000Z

189

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

190

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.

191

"Economic","per Employee","of Value Added","of Shipments" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)"  

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

2 Relative Standard Errors for Table 6.2;" 2 Relative Standard Errors for Table 6.2;" " Unit: Percents." ,,,"Consumption" ,,"Consumption","per Dollar" ,"Consumption","per Dollar","of Value" "Economic","per Employee","of Value Added","of Shipments" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)" ,"Total United States" "Value of Shipments and Receipts" "(million dollars)" " Under 20",2.5,2.5,2.4 " 20-49",5,5,4.3 " 50-99",5.8,5.8,5.3 " 100-249",6.2,6.2,5.3 " 250-499",8.2,8,7.1 " 500 and Over",4.3,3,2.7

192

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Massachusetts" Massachusetts" "1. Massachusetts Electric Co","Investor-Owned",12522051,8884116,3167592,470343,"-" "2. NSTAR Electric Company","Investor-Owned",8946038,5484797,2382635,1078606,"-" "3. Constellation NewEnergy, Inc","Other Provider",4767773,"-",3478609,1289164,"-" "4. Strategic Energy LLC","Other Provider",3708146,"-",3708146,"-","-" "5. Consolidated Edison Sol Inc","Other Provider",2891778,1290581,1601197,"-","-" "Total Sales, Top Five Providers",,32835786,15659494,14338179,2838113,"-" "Percent of Total State Sales",,57,73,79,17

193

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Wisconsin" Wisconsin" "1. Wisconsin Electric Power Co","Investor-Owned",24533047,8260048,8827660,7445339,"-" "2. Wisconsin Public Service Corp","Investor-Owned",10517120,2780951,3863501,3872668,"-" "3. Wisconsin Power & Light Co","Investor-Owned",10130310,3541703,2336594,4252013,"-" "4. Northern States Power Co - Wisconsin","Investor-Owned",6177480,1907315,2699730,1570435,"-" "5. Madison Gas & Electric Co","Investor-Owned",3331795,826021,2243141,262633,"-" "Total Sales, Top Five Providers",,54689752,17316038,19970626,17403088,"-" "Percent of Total State Sales",,80,78,87,74

194

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Rhode Island" Rhode Island" "1. The Narragansett Electric Co","Investor-Owned",5287440,3068731,1938910,279799,"-" "2. Constellation NewEnergy, Inc","Other Provider",594900,"-",387627,191168,16105 "3. TransCanada Power Mktg Ltd","Other Provider",501659,"-","-",501659,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",389583,"-",116875,272708,"-" "5. Glacial Energy Holdings","Other Provider",283973,"-",283973,"-","-" "Total Sales, Top Five Providers",,7057555,3068731,2727385,1245334,16105 "Percent of Total State Sales",,90,98,74,100,59

195

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

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

Iowa Light & Power Coop","Cooperative",637480,295211,48842,293427,"-" "5. North West Rural Electric Coop","Cooperative",608926,242015,363344,3567,"-" "Total Sales, Top Five...

196

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

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

Puget Sound Energy Inc","Investor-Owned",20904907,10609011,9138486,1153642,3768 "2. Seattle City of","Public",9384736,3094576,5084754,1204764,642 "3. Bonneville Power...

197

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

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

PEPCO Energy Services","Other Provider",4523378,2999,4520379,"-","-" "5. The Potomac Edison Co","Investor-Owned",4383248,3303277,796849,283122,"-" "Total Sales, Top Five...

198

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

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

Corp","Investor-Owned",15992689,10452664,4185504,1346875,7646 "4. Metropolitan Edison Co","Investor-Owned",13585688,5653878,4597757,3334053,"-" "5. Pennsylvania Electric...

199

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

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

Power Co","Investor-Owned",10676292,3780837,2760789,4130286,4380 "3. The Potomac Edison Co","Investor-Owned",3418231,1833906,839504,744821,"-" "4. Wheeling Power...

200

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

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

Illinois" "1. Commonwealth Edison Co","Investor-Owned",43609598,29165528,13286378,1157692,"-" "2. Ameren Illinois Company","Investor-Owned",18479621,12339630,4731804,1389194,18993...

Note: This page contains sample records for the topic "btu end-use sectors" 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

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

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

Co","Investor-Owned",84045146,30744336,38885857,14414953,"-" "2. Southern California Edison Co","Investor-Owned",75597423,28960709,38650369,7921618,64727 "3. Los Angeles City...

202

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

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

York" "1. Consolidated Edison Co-NY Inc","Investor-Owned",24141995,11518155,12417399,200770,5671 "2. Long Island Power Authority","Public",19102018,9971612,8854183,"-",276223 "3....

203

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

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

Colorado" "1. Public Service Co of Colorado","Investor-Owned",28298643,9086992,12837188,6328128,46335 "2. Colorado Springs City of","Public",4508375,1476921,1102215,1929239,"-" "3....

204

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

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

"2. Sierra Pacific Power Co","Investor-Owned",7548312,2188375,2877253,2482684,"-" "3. Colorado River Comm of Nevada","Public",1669538,"-",991813,677725,"-" "4. Coral Power...

205

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

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

Central Vermont Pub Serv Corp","Investor-Owned",2201153,979922,849639,371592,"-" "2. Green Mountain Power Corp","Investor-Owned",1912901,573807,698688,640406,"-" "3. Vermont...

206

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

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

Ohio" "1. First Energy Solutions Corp.","Other Provider",29606124,8135208,12599886,8846018,25012 "2. Ohio Power Co","Investor-Owned",26197992,7581485,5816681,12799826,"-" "3....

207

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

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

Co","Investor-Owned",38427458,14639909,15109890,8655643,22016 "2. Kansas City Power & Light Co","Investor-Owned",8877996,2735066,4548499,1594431,"-" "3. KCP&L Greater Missouri...

208

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

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

Connecticut" "1. Connecticut Light & Power Co","Investor-Owned",9638612,7191790,2053659,273607,119556 "2. Constellation NewEnergy, Inc","Other Provider",3680529,"-",2516320,1164209...

209

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

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

Florida" "1. Florida Power & Light Co","Investor-Owned",105003376,56583308,45194918,3143476,81674 "2. Progress Energy Florida Inc","Investor-Owned",38925066,20524060,15181662,32193...

210

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 ...

211

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

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

Michigan" "1. Detroit Edison Co","Investor-Owned",42490936,15726131,16565482,10199323,"-" "2. Consumers Energy Co","Investor-Owned",33290120,12968152,11260844,9061124,"-" "3....

212

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

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

Indiana" "1. Duke Energy Indiana Inc","Investor-Owned",28258839,9627037,8531725,10100077,"-" "2. Northern Indiana Pub Serv Co","Investor-Owned",16190907,3625579,4086569,8459042,197...

213

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

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

Electric & Power Co","Investor-Owned",81225989,32538497,39986322,8512201,188969 "5. Duke Energy Carolinas, LLC","Investor-Owned",79553460,30374862,28431959,20739589,7050...

214

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

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

Carolina" "1. Duke Energy Carolinas, LLC","Investor-Owned",57850382,23089681,22484849,12268802,7050 "2. Progress Energy Carolinas Inc","Investor-Owned",39075352,16820714,13892621,8...

215

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

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

South Carolina Electric&Gas Co","Investor-Owned",22921978,8790593,8268383,5863002,"-" "2. Duke Energy Carolinas, LLC","Investor-Owned",21703078,7285181,5947110,8470787,"-" "3....

216

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

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

Idaho" "1. Idaho Power Co","Investor-Owned",12883563,4777822,3616109,4489632,"-" "2. Avista Corp","Investor-Owned",3388733,1179482,998465,1210786,"-" "3. PacifiCorp","Investor-Owne...

217

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

District of Columbia" District of Columbia" "1. Potomac Electric Power Co","Investor-Owned",3388490,2014044,1374446,"-","-" "2. Constellation NewEnergy, Inc","Other Provider",2427380,"-",2369901,12091,45388 "3. PEPCO Energy Services","Other Provider",2099946,1012,2098934,"-","-" "4. Washington Gas Energy Services","Other Provider",1759773,39513,1720260,"-","-" "5. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",801256,"-",536225,265031,"-" "Total Sales, Top Five Providers",,10476845,2054569,8099766,277122,45388 "Percent of Total State Sales",,88,97,88,100,14

218

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Maine" Maine" "1. NextEra Energy Power Marketing LLC","Other Provider",3876276,3548267,316308,11701,"-" "2. Dominion Retail Inc","Other Provider",1308742,"-",1308742,"-","-" "3. Constellation NewEnergy, Inc","Other Provider",987998,"-",704002,283996,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",593324,"-",593324,"-","-" "5. Suez Energy Resources North America","Other Provider",483466,"-",483466,"-","-" "Total Sales, Top Five Providers",,7249806,3548267,3405842,295697,"-" "Percent of Total State Sales",,63,81,83,10

219

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

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

o","Investor-Owned",1641094,646566,870490,124038,"-" "4. Basin Electric Power Coop","Cooperative",998782,"-","-",998782,"-" "5. Cass County Electric Coop Inc","Cooperative",949129,...

220

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

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

c","Investor-Owned",1439002,513084,720009,205909,"-" "4. Sioux Valley SW Elec Coop","Cooperative",543948,273406,37503,233039,"-" "5. Southeastern Electric Coop...

Note: This page contains sample records for the topic "btu end-use sectors" 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

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

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

of","Public",5548651,2712976,1742137,1093538,"-" "4. Joe Wheeler Elec Member Corp","Cooperative",1567029,663987,273698,629344,"-" "5. Baldwin County El Member...

222

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

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

City City of","Public",2315087,599499,950118,765470,"-" "5. Midwest Energy Inc","Cooperative",1366402,327961,371567,666874,"-" "Total Sales, Top Five Providers",,30303079,10868...

223

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

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

LLC","Other Provider",2058434,"-","-",2058434,"-" "3. Flathead Electric Coop Inc","Cooperative",1308075,681884,421098,205093,"-" "4. Montana-Dakota Utilities...

224

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

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

Inc","Other Provider",834064,"-",514698,319366,"-" "4. New Hampshire Elec Coop Inc","Cooperative",657104,441564,172464,43076,"-" "5. TransCanada Power Mktg Ltd","Other...

225

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

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

Owned",87160371,29433085,34345187,23209403,172696 "2. Jackson Electric Member Corp","Cooperative",5210329,3145638,1486263,578428,"-" "3. Cobb Electric Membership...

226

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

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

Alaska" "1. Golden Valley Elec Assn Inc","Cooperative",1288167,304785,140257,843125,"-" "2. Chugach Electric Assn Inc","Cooperative",1169430,545123,578892,45415,"-" "3. Anchorage...

227

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

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

tor-Owned",9680088,1063589,1522713,7093786,"-" "2. Powder River Energy Corporation","Cooperative",2927689,214210,1161208,1552271,"-" "3. Cheyenne Light Fuel & Power...

228

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

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

Authority","Federal",3886876,"-","-",3886876,"-" "4. Southern Pine Elec Power Assn","Cooperative",2128184,976549,334932,816703,"-" "5. Coast Electric Power Assn","Cooperative",1754...

229

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

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

Power Co","Investor-Owned",2085395,566573,1020138,498684,"-" "4. Connexus Energy","Cooperative",1961569,1169218,714619,77732,"-" "5. Dakota Electric Association","Cooperative",18...

230

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

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

Co Inc","Investor-Owned",1109783,430942,443059,235782,"-" "4. Kauai Island Utility Cooperative","Cooperative",434533,159426,115447,159660,"-" "5. Gay & Robinson...

231

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

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

Co","Investor-Owned",12338237,4591883,5143503,2602851,"-" "4. Kenergy Corp","Cooperative",9318498,812957,332644,8172897,"-" "5. Kentucky Power Co","Investor-Owned",7348529,...

232

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

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

Power","Investor-Owned",4450617,3054492,1065773,330352,"-" "2. Delaware Electric Cooperative","Cooperative",1262460,1033025,229435,"-","-" "3. Constellation NewEnergy,...

233

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

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

of Murray","Public",416137,115880,255171,45086,"-" "5. Moon Lake Electric Assn Inc","Cooperative",412635,130571,226952,55112,"-" "Total Sales, Top Five Providers",,24668010,7306239...

234

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

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

nvestor-Owned",17916962,6594608,6401161,4921193,"-" "3. Oklahoma Electric Coop Inc","Cooperative",1091981,756271,209883,125827,"-" "4. City of Edmond","Public",832221,490095,330222...

235

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

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

nvestor-Owned",16604770,6919563,4249870,5435337,"-" "3. Rappahannock Electric Coop","Cooperative",3654089,1961373,250097,1442619,"-" "4. Northern Virginia Elec...

236

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

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

ngton","Public",1121094,271575,428750,420769,"-" "5. Lea County Electric Coop, Inc","Cooperative",781534,72461,399280,309793,"-" "Total Sales, Top Five Providers",,17023171,5427476...

237

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

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

or-Owned",4170296,1193627,1383319,1593350,"-" "3. Mississippi County Electric Coop","Cooperative",3089262,65996,19109,3004157,"-" "4. Oklahoma Gas & Electric Co","Investor-Owned",2...

238

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 ...

239

Realizing Building End-Use Efficiency with Ermerging Technologies  

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

Realizing Building End-Use Efficiency Realizing Building End-Use Efficiency with Emerging Technologies Jonathan Livingston Livingston Energy Innovations, LLC What is End-Use Efficiency (EE)? * EE is an energy resource * Broadly accepted in the U.S. as the single most effective step toward reducing pollution, power costs and price volatility * Treated as equivalent to supply-side resources * Recognized by states and regions as first priority when costs are comparable (CA, MO, NM, Pacific Northwest) The Northwest Power Act 839b(e)(1). The plan shall, as provided in this paragraph, give priority to resources which the Council determines to be cost-effective. Priority shall be given: first, to conservation; second, to renewable resources; third, to generating resources utilizing waste heat or generating resources of high fuel conversion

240

Table US12. Total Consumption by Energy End Uses, 2005 Quadrillion ...  

U.S. Energy Information Administration (EIA)

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

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


241

Table US14. Average Consumption by Energy End Uses, 2005 Million ...  

U.S. Energy Information Administration (EIA)

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

242

End-Use Load-Shape Estimation: Methods and Validation  

Science Conference Proceedings (OSTI)

In developing effective demand-side management plans and load forecasts, utilities need information on customer hourly load patterns over a range of end-uses. Such information may be obtained using the two methods described in this report for disaggregating whole-building load data. Both methods have been validated using end-use metered data. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Community/index.asp .

1991-02-01T23:59:59.000Z

243

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

244

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

Price, 2008 “Sectoral Trends in Global Energy Use and Greenhouse GasTrends in Global Energy Use and Greenhouse Gas Emissions (Price

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

245

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

Commercial Building Energy Consumption Survey” (CBECS),7 Figure 3. Energy Consumption in the Agriculture Sector (13 Figure 6. Energy Consumption in the Service

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

246

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

kerosene Coal INDUSTRY electricity Coal oil gas COMMERCIALkerosene Coal INDUSTRY electricity Coal oil gas COMMERCIALin the industry sector and primary electricity represents

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

247

End-use matching of solar energy systems  

SciTech Connect

The choice among available energy sources for a given task requires technical and economic tradeoffs on the part of the individual investor. From the national perspective, however, the effectiveness with which available energy sources are utilized may well become an overriding consideration. End-use matching is a procedure for introducing solar energy into the national energy infrastructure. The result of end-use matching is an identification of the most cost-effective combination of process energy needs, solar collector technology, geographic location, and economics by matching currently available solar system hardware with particular industrial processes and their locations. End-use matching is not intended to be a design tool for a specific plant, but rather a planning tool for determining where and for what general applications solar systems appear economically viable in the near- to immediate-term. This paper discusses the end-use matching methodology and illustrates first and second law thermodynamics analyses applied to a solar system producing process steam.

Kreith, F.; Kearney, D.; Bejan, A.

1979-01-01T23:59:59.000Z

248

,"U.S. Natural Gas Consumption by End Use"  

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

,,"(202) 586-8800",,,"10312013 3:05:49 PM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" "Sourcekey","N9140US2","N9160US2","NA1840NUS2","NA18...

249

,"U.S. Natural Gas Consumption by End Use"  

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

,,"(202) 586-8800",,,"10312013 3:05:50 PM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" "Sourcekey","N9140US2","N9160US2","N9170US2","N3060US2...

250

Refining and End Use Study of Coal Liquids  

SciTech Connect

This report summarizes revisions to the design basis for the linear programing refining model that is being used in the Refining and End Use Study of Coal Liquids. This revision primarily reflects the addition of data for the upgrading of direct coal liquids.

None

1997-10-01T23:59:59.000Z

251

Energy end-use intensities in commercial buildings  

SciTech Connect

This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and other. The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand. The source of data for the analysis is the 1989 Commercial Buildings Energy Consumption survey (CBECS), which collected detailed data on energy-related characteristics and energy consumption for a nationally representative sample of approximately 6,000 commercial buildings. The analysis used 1989 CBECS data because the 1992 CBECS data were not yet available at the time the study was initiated. The CBECS data were fed into the Facility Energy Decision Screening (FEDS) system, a building energy simulation program developed by the US Department of Energy`s Pacific Northwest Laboratory, to derive engineering estimates of end-use consumption for each building in the sample. The FEDS estimates were then statistically adjusted to match the total energy consumption for each building. This is the Energy Information Administration`s (EIA) first report on energy end-use consumption in commercial buildings. This report is part of an effort to address customer requests for more information on how energy is used in buildings, which was an overall theme of the 1992 user needs study. The end-use data presented in this report were not available for publication in Commercial Buildings Energy Consumption and Expenditures 1989 (DOE/EIA-0318(89), Washington, DC, April 1992). However, subsequent reports on end-use energy consumption will be part of the Commercial Buildings Energy Consumption and Expenditures series, beginning with a 1992 data report to be published in early 1995.

1994-09-01T23:59:59.000Z

252

Expanded standards and codes case limits combined buildings delivered energy to 21 quadrillion Btu by 2035  

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

Erin Boedecker, Session Moderator Erin Boedecker, Session Moderator April 27, 2011 | Washington, DC Energy Demand. Efficiency, and Consumer Behavior 16 17 18 19 20 21 22 23 24 25 2005 2010 2015 2020 2025 2030 2035 2010 Technology Reference Expanded Standards Expanded Standards + Codes -7.6% ≈ 0 Expanded standards and codes case limits combined buildings delivered energy to 21 quadrillion Btu by 2035 2 Erin Boedecker, EIA Energy Conference, April 27, 2011 delivered energy quadrillion Btu Source: EIA, Annual Energy Outlook 2011 -4.8% 16 17 18 19 20 21 22 23 24 25 2005 2010 2015 2020 2025 2030 2035 2010 Technology Reference High Technology High technology assumptions with more efficient consumer behavior keep buildings energy to just over 20 quadrillion Btu 3 Erin Boedecker, EIA Energy Conference, April 27, 2011 delivered energy quadrillion Btu

253

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

254

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

255

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

Gasoline and Diesel Fuel Update (EIA)

Transportation sector energy demand Transportation sector energy demand Growth in transportation energy consumption flat across projection figure data The transportation sector consumes 27.1 quadrillion Btu of energy in 2040, the same as the level of energy demand in 2011 (Figure 70). The projection of no growth in transportation energy demand differs markedly from the historical trend, which saw 1.1-percent average annual growth from 1975 to 2011 [126]. No growth in transportation energy demand is the result of declining energy use for LDVs, which offsets increased energy use for heavy-duty vehicles (HDVs), aircraft, marine, rail, and pipelines. Energy demand for LDVs declines from 16.1 quadrillion Btu in 2011 to 13.0 quadrillion Btu in 2040, in contrast to 0.9-percent average annual growth

256

Word Pro - Untitled1  

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

2.1 Energy Consumption by Sector (Quadrillion Btu) Total Consumption by End-Use Sector, 1949-2012 Total Consumption by End-Use Sector, Monthly By Sector, June 2013 22 Energy...

257

Ris Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end-use  

E-Print Network (OSTI)

Risø Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end vary, so we need to find a pricing mechanism that is broadly applicable. The issue of short-term supply balance take place. DR and the security of supply problem thus take different forms depending

258

End-use energy consumption estimates for US commercial buildings, 1989  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

1993-11-01T23:59:59.000Z

259

End-use energy consumption estimates for U.S. commercial buildings, 1992  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs of the US Department of Energy, utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1992 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Statistical Adjusted Engineering (SAE) models were estimated by building type. The nonlinear SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption (based upon utility billing information). End-use consumption by fuel was estimated for each of the 6,751 buildings in the 1992 CBECS. The report displays the summary results for 11 separate building types as well as for the total US commercial building stock. 4 figs., 15 tabs.

Belzer, D.B.; Wrench, L.E.

1997-03-01T23:59:59.000Z

260

EIA - International Energy Outlook 2009-Industrial Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

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

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


261

The Value of End-Use Energy Efficiency in Mitigation of U.S. Carbon Emissions  

DOE Green Energy (OSTI)

This report documents a scenario analysis exploring the value of advanced technologies in the U.S. buildings, industrial, and transportation sectors in stabilizing atmospheric greenhouse gas concentrations. The analysis was conducted by staff members of Pacific Northwest National Laboratory (PNNL), working at the Joint Global Change Research Institute (JGCRI) in support of the strategic planning process of the U.S. Department of Energy (U.S. DOE) Office of Energy Efficiency and Renewable Energy (EERE). The conceptual framework for the analysis is an integration of detailed buildings, industrial, and transportation modules into MiniCAM, a global integrated assessment model. The analysis is based on three technology scenarios, which differ in their assumed rates of deployment of new or presently available energy-saving technologies in the end-use sectors. These technology scenarios are explored with no carbon policy, and under two CO2 stabilization policies, in which an economic price on carbon is applied such that emissions follow prescribed trajectories leading to long-term stabilization of CO2 at roughly 450 and 550 parts per million by volume (ppmv). The costs of meeting the emissions targets prescribed by these policies are examined, and compared between technology scenarios. Relative to the reference technology scenario, advanced technologies in all three sectors reduce costs by 50% and 85% for the 450 and 550 ppmv policies, respectively. The 450 ppmv policy is more stringent and imposes higher costs than the 550 ppmv policy; as a result, the magnitude of the economic value of energy efficiency is four times greater for the 450 ppmv policy than the 550 ppmv policy. While they substantially reduce the costs of meeting emissions requirements, advanced end-use technologies do not lead to greenhouse gas stabilization without a carbon policy. This is due mostly to the effects of increasing service demands over time, the high consumption of fossil fuels in the electricity sector, and the use of unconventional feedstocks in the liquid fuel refining sector. Of the three end-use sectors, advanced transportation technologies have the greatest potential to reduce costs of meeting carbon policy requirements. Services in the buildings and industrial sectors can often be supplied by technologies that consume low-emissions fuels such as biomass or, in policy cases, electricity. Passenger transportation, in contrast, is especially unresponsive to climate policies, as the fuel costs are small compared to the time value of transportation and vehicle capital and operating costs. Delaying the transition from reference to advanced technologies by 15 years increases the costs of meeting 450 ppmv stabilization emissions requirements by 21%, but the costs are still 39% lower than the costs assuming reference technology. The report provides a detailed description of the end-use technology scenarios and provides a thorough analysis of the results. Assumptions are documented in the Appendix.

Kyle, G. Page; Smith, Steven J.; Clarke, Leon E.; Kim, Son H.; Wise, Marshall A.

2007-11-27T23:59:59.000Z

262

Flywheel Energy Storage for End-Use Power  

Science Conference Proceedings (OSTI)

Power quality represents both a challenge and an opportunity for utilities to provide quality and service to their customers. Flywheel systems are becoming commercially available for solving short-term power quality problems, specifically voltage sags and momentary interruptions, and a variety of products appears particularly attractive for this market. This report provides information on the subject of flywheel energy storage systems to utility personnel responsible for end-use power quality.

1998-12-15T23:59:59.000Z

263

REFINING AND END USE STUDY OF COAL LIQUIDS  

DOE Green Energy (OSTI)

This document summarizes all of the work conducted as part of the Refining and End Use Study of Coal Liquids. There were several distinct objectives set, as the study developed over time: (1) Demonstration of a Refinery Accepting Coal Liquids; (2) Emissions Screening of Indirect Diesel; (3) Biomass Gasification F-T Modeling; and (4) Updated Gas to Liquids (GTL) Baseline Design/Economic Study.

Unknown

2002-01-01T23:59:59.000Z

264

Energy End-Use Technologies for the 21st Century  

SciTech Connect

The World Energy Council's recent study examined the potential of energy end-use technologies and of research, development, and demonstration (RD&D) into these technologies on a global scale. Surprises are likely, but nevertheless, current research and development offer a picture of what might happen in the future as new technologies face the competition of the marketplace. Given the breadth of energy end-use technologies and the differences between regions and economic conditions, the study focused on technologies that appear most important from today's vantage point. Globally, robust research and development followed by demonstrations of new end-use technologies can potentially save at least 110 EJ/year by 2020 and over 300 EJ/year by 2050. If achieved, this translates to worldwide energy savings of as much as 25% by 2020 and over 40% by 2050, over what may be required without these technologies. It is almost certain that no single technology, or even a small set of technologies, will dominate in meeting the needs of the globe in any foreseeable timeframe. Absent a significant joint government-industry effort on end-use technology RD&D, the technologies needed will not be ready for the marketplace in the timeframes required with even the most pessimistic scenarios. Based on previous detailed analyses for the United States, an international expenditure of $4 billion per year seems more than justified. The success of new energy end-use technologies depends on new RD&D investments and policy decisions made today. Governments, in close cooperation with industry, must carefully consider RD&D incentives that can help get technologies from the laboratory or test-bed to market. Any short-term impact areas are likely to benefit from focused RD&D. These include electricity transmission and distribution, distributed electricity production, transportation, the production of paper and pulp, iron and steel, aluminum, cement and chemicals, and information and communication technologies. For long-term impact, significant areas include fuel cells, hydrogen fuel, and integrated multi-task energy systems.

Gehl, S; Haegermark, H; Larsen, H; Morishita, M; Nakicenovic, N; Schock, R N; Suntola, T

2005-04-13T23:59:59.000Z

265

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the U.S. residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute (McMenamin et al. 1992). In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70 % of electricity consumption and 30 % of natural gas consumption in the U.S. residential sector (EIA 1993). Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific

J. Hwang; Francis X. Johnson; Richard E. Brown; James W. Hanford; Jonathan G. Koomey

1994-01-01T23:59:59.000Z

266

Energy Use in China: Sectoral Trends and Future Outlook  

E-Print Network (OSTI)

mix .. 14 Sectoral Energy Use in China ..energy consumption, Mtce Percentage of total, % Adjustment in fuel mix As discussed above, End-use fuel consumption in China

2008-01-01T23:59:59.000Z

267

Historical Renewable Energy Consumption by Energy Use Sector...  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 Provides annual renewable energy consumption by source and end use between 1989 and 2008....

268

U.S. Building-Sector Energy Efficiency Potential  

Science Conference Proceedings (OSTI)

This paper presents an estimate of the potential for energy efficiency improvements in the U.S. building sector by 2030. The analysis uses the Energy Information Administration's AEO 2007 Reference Case as a business-as-usual (BAU) scenario, and applies percentage savings estimates by end use drawn from several prior efficiency potential studies. These prior studies include the U.S. Department of Energy's Scenarios for a Clean Energy Future (CEF) study and a recent study of natural gas savings potential in New York state. For a few end uses for which savings estimates are not readily available, the LBNL study team compiled technical data to estimate savings percentages and costs of conserved energy. The analysis shows that for electricity use in buildings, approximately one-third of the BAU consumption can be saved at a cost of conserved energy of 2.7 cents/kWh (all values in 2007 dollars), while for natural gas approximately the same percentage savings is possible at a cost of between 2.5 and 6.9 $/million Btu. This cost-effective level of savings results in national annual energy bill savings in 2030 of nearly $170 billion. To achieve these savings, the cumulative capital investment needed between 2010 and 2030 is about $440 billion, which translates to a 2-1/2 year simple payback period, or savings over the life of the measures that are nearly 3.5 times larger than the investment required (i.e., a benefit-cost ratio of 3.5).

Brown, Rich; Borgeson, Sam; Koomey, Jon; Biermayer, Peter

2008-09-30T23:59:59.000Z

269

The Mansfield Two-Stage, Low BTU Gasification System: Report of Operations  

E-Print Network (OSTI)

The least expensive way to produce gas from coal is by low Btu gasification, a process by which coal is converted to carbon monoxide and hydrogen by reacting it with air and steam. Low Btu gas, which is used near its point of production, eliminates the high costs of oxygen and methanation required to produce gas that can be transmitted over long distance. Standard low Btu fixed bed gasifiers have historically been plagued by three constraints; namely, the production of messy tars and oils, the inability to utilize caking coals, and the inability to accept coal fines. Mansfield Carbon Products, Inc., a subsidiary of A.T. Massey Coal Company, has developed an atmospheric pressure, two-stage process that eliminates these three problems.

Blackwell, L. T.; Crowder, J. T.

1983-01-01T23:59:59.000Z

270

Analysis of the market and product costs for coal-derived high Btu gas  

Science Conference Proceedings (OSTI)

DOE analyzed the market potential and economics of coal-derived high-Btu gas using supply and demand projections that reflect the effects of natural gas deregulation, recent large oil-price rises, and new or pending legislation designed to reduce oil imports. The results indicate that an increasingly large market for supplemental gas should open up by 1990 and that SNG from advanced technology will probably be as cheap as gas imports over a wide range of assumptions. Although several studies suggest that a considerable market for intermediate-Btu gas will also exist, the potential supplemental gas demand is large enough to support both intermediate - and high-Btu gas from coal. Advanced SNG-production technology will be particularly important for processing the US's abundant, moderately to highly caking Eastern coals, which current technology cannot handle economically.

Not Available

1980-12-01T23:59:59.000Z

271

,"Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)",1,"Weekly","12/13/2013" ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhdw.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhdw.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:22 PM"

272

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network (OSTI)

5-5. 1993 Electricity Consumption Estimates by End Use forft ) 1993 Electricity Consumption Estimates by End Use forTotal) 1993 Electricity Consumption Estimates by End Use for

Konopacki, S.J.

2010-01-01T23:59:59.000Z

273

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Cogen Cogen Natural Gas Landfill Gas Tulare Tulare Woodwasteand wood waste, landfill gas, and mlmicipal solid waste andscf digester gas, or Btu/ scf landfill gas. HVs are given in

McKone, Thomas E.

2011-01-01T23:59:59.000Z

274

How many people actually see the price signal? Quantifying marketfailures in the end use of energy  

SciTech Connect

"Getting the price right" is a goal of many market-orientedenergy policies. However, there are situations where the consumer payingfor the energy is separate from the owner of the energy-using device.Economists call this a "principal agent problem". A team organised by theInternational Energy Agency examined seven end uses and one sector whereprincipal agent problems existed: refrigerators, water heating, spaceheating, vending machines, commercial HVAC, company cars, lighting, andfirms. These investigations took place in Australia, Japan, theNetherlands, Norway, and the United States. About 2 100 percent of theenergy consumed in the end uses examined was affected by principal agentproblems. The size (and sometimes even the existence) varied greatly fromone country to another but all countries had significant amounts ofenergy affected by principal agent problems. The presence of a marketfailure does not mean that energy use would fall substantially if thefailure were eliminated; however it does suggest that raising energyprices such as in the form of carbon taxes will not necessarily increaseefficiency investments.

Meier, Alan; Eide, Anita

2007-09-01T23:59:59.000Z

275

"NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)"  

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

3 Relative Standard Errors for Table 6.3;" 3 Relative Standard Errors for Table 6.3;" " Unit: Percents." " "," ",,,"Consumption" " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Value of Shipments and Receipts" ,"(million dollars)" ," Under 20",3,3,3

276

BUILDINGS SECTOR DEMAND-SIDE EFFICIENCY TECHNOLOGY SUMMARIES  

E-Print Network (OSTI)

: Small Commercial, Residential Author: Haider Taha VII. Solar Domestic Water Heaters........................................................................... 59 End-Use: Water Heating Sector: Residential Author: Jim Lutz VIII. Heat Pump Water Heaters ................................................................................. 63 End-Use: Water Heating Sector: Residential Author: Jim Lutz IX. Energy-Efficient Motors

277

U.S. Natural Gas Liquid Composite Price (Dollars per Million BTU)  

U.S. Energy Information Administration (EIA)

U.S. Natural Gas Liquid Composite Price (Dollars per Million BTU) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 2000's: 12.91: 15.20 ...

278

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

279

Parametric Analysis of a 6500-Btu/kWh Heat Rate Dispersed Generator  

Science Conference Proceedings (OSTI)

Cost and performance assessments of two alternative system designs for a 2-MW molten carbonate fuel cell power plant yielded encouraging results: a 6500-Btu/kWh heat rate and a total plant investment of $1200-$1300/kW. Differences between the two designs establish a permissible range of operating conditions for the fuel cell that will help guide its development.

1985-08-14T23:59:59.000Z

280

Residential end-use energy planning system (REEPS). Final report  

Science Conference Proceedings (OSTI)

The Residential End-Use Energy Planning System (REEPS) is described. REEPS is a forecasting model of residential energy patterns that is capable of evaluating the impacts of a broad range of energy conservation measures. REEPS forecasts appliance installations, operating efficiencies, and utilization patterns for space heating, water heating, air conditioning, and cooking. Each of these decisions is sensitive to energy prices, mandatory policies, and household/dwelling and geographical characteristics. The parameters of these choice models have been estimated statistically from national household survey data. The structure of the choice models and the results of the statistical analysis are reported in detail. REEPS forecasts energy choices for a large number of market segments representing households with different socioeconomic, dwelling, and geographical characteristics. These segments reflect the joint distribution of characteristics in the population. Aggregate forecasts are generated by summing up the decisions for all population segments. This technique provides a consistent method of obtaining aggregate forecasts from disaggregate, nonlinear choice models. Moreover, it permits evaluation of the distributional impacts of prospective conservation policies. The results of simulation of REEPS are described. REEPS forecasts a moderate rise in electricity consumption per household and significant drops in other fuels. These are caused in part by high market penetrations of electric appliances which themselves reflect major shifts in relative energy prices.

Goett, A.; McFadden, D.

1982-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "btu end-use sectors" 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

Process designs and cost estimates for a medium Btu gasification plant using a wood feedstock  

DOE Green Energy (OSTI)

A gasification plant to effect the conversion of wood to medium-Btu gas has been designed. The Purox gasifier and associated equipment were selected as a prototype, since this system is nearer to commercialization than others considered. The object was to determine the cost of those processing steps common to all gasification schemes and to identify specific research areas. A detailed flowsheet and mass-balance are presented. Capital investment statements for three plant sizes (400, 800, 1,600 oven-dry tons per day) are included along with manufacturing costs for each of these plants at three feedstock prices: $10, $20, $30 per green ton (or $20, $40, $60 per dry ton). The design incorporates a front-end handling system, package cryogenic oxygen plant, the Purox gasifier, a gas-cleaning train consisting of a spray scrubber, ionizing wet scrubber, and condenser, and a wastewater treatment facility including a cooling tower and a package activated sludge unit. Cost figures for package units were obtained from suppliers and used for the oxygen and wastewater treatment plants. The gasifier is fed with wood chips at 20% moisture (wet basis). For each pound of wood, 0.32 lb of oxygen are required, and 1.11 lb of gas are produced. The heating value of the gas product is 300 Btu/scf. For each Btu of energy input (feed + process energy) to the plant, 0.91 Btu exists with the product gas. Total capital investments required for the plants considered are $9, $15, and $24 million (1978) respectively. In each case, the oxygen plant represents about 50% of the total investment. For feedstock prices from $10 to $30 per green ton ($1.11 to $3.33 per MM Btu), break-even costs of fuel gas range from $3 to $7 per MM Btu. At $30/ton, the feedstock cost represents approximately 72% of the total product cost for the largest plant size; at $10/ton, it represents only 47% of product cost.

Desrosiers, R. E.

1979-02-01T23:59:59.000Z

282

REFINING AND END USE STUDY OF COAL LIQUIDS  

Science Conference Proceedings (OSTI)

Two direct coal liquids were evaluated by linear programming analysis to determine their value as petroleum refinery feedstock. The first liquid, DL1, was produced from bitiuminous coal using the Hydrocarbon Technologies, Inc.(HTI) two-stage hydrogenation process in Proof of Concept Run No.1, POC-1. The second liquid, DL2,was produced from sub-bituminous coal using a three-stage HTI process in Proof of Concept Run No. 2, POC-2; the third stage being a severe hydrogenation process. A linear programming (LP) model was developed which simulates a generic 150,000 barrel per day refinery in the Midwest U.S. Data from upgrading tests conducted on the coal liquids and related petroleum fractions in the pilot plant testing phase of the Refining and End Use Study was inputed into the model. The coal liquids were compared against a generic petroleum crude feedstock. under two scenarios. In the first scenario, it was assumed that the refinery capacity and product slate/volumes were fixed. The coal liquids would be used to replace a portion of the generic crude. The LP results showed that the DL1 material had essentially the same value as the generic crude. Due to its higher quality, the DL2 material had a value of approximately 0.60 $/barrel higher than the petroleum crude. In the second scenario, it was assumed that a market opportunity exists to increase production by one-third. This requires a refinery expansion. The feedstock for this scenario could be either 100% petroleum crude or a combination of petroleum crude and the direct coal liquids. Linear programming analysis showed that the capital cost of the refinery expansion was significantly less when coal liquids are utilized. In addition, the pilot plant testing showed that both of the direct coal liquids demonstrated superior catalytic cracking and naphtha reforming yields. Depending on the coal liquid flow rate, the value of the DL1 material was 2.5-4.0 $/barrel greater than the base petroleum crude, while the DL2 material was 3.0-4.0 /barrel higher than the crude. Co-processing the coal liquids with lower quality, less expensive petroleum crudes that have higher sulfur, resid and metals contents was also examined. The coal liquids have higher values under this scenario, but the values are dependent on the prices of the alternative crudes.

NONE

1998-08-12T23:59:59.000Z

283

,"U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"  

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

Monthly","8/2013" Monthly","8/2013" ,"Release Date:","10/31/2013" ,"Next Release Date:","11/29/2013" ,"Excel File Name:","ngm_epg0_plc_nus_dmmbtum.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_plc_nus_dmmbtum.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:47 PM" "Back to Contents","Data 1: U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)" "Sourcekey","NGM_EPG0_PLC_NUS_DMMBTU" "Date","U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"

284

,"U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"  

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

Annual",2012 Annual",2012 ,"Release Date:","10/31/2013" ,"Next Release Date:","11/29/2013" ,"Excel File Name:","ngm_epg0_plc_nus_dmmbtua.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_plc_nus_dmmbtua.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:46 PM" "Back to Contents","Data 1: U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)" "Sourcekey","NGM_EPG0_PLC_NUS_DMMBTU" "Date","U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"

285

,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhda.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhda.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:19 PM" "Back to Contents","Data 1: Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" "Sourcekey","RNGWHHD" "Date","Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" 35611,2.49 35976,2.09 36341,2.27 36707,4.31 37072,3.96 37437,3.38 37802,5.47 38168,5.89 38533,8.69 38898,6.73

286

,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Daily","12/16/2013" Daily","12/16/2013" ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhdd.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhdd.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:24 PM" "Back to Contents","Data 1: Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" "Sourcekey","RNGWHHD" "Date","Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" 35437,3.82 35438,3.8 35439,3.61 35440,3.92 35443,4 35444,4.01 35445,4.34 35446,4.71 35447,3.91

287

Hot Water Electric Energy Use in Single-Family Residences in the Pacific Northwest : Regional End-Use Metering Project (REMP).  

SciTech Connect

The Office of Energy Resources of the Bonneville Power Administration carriers out generation and conservation resource planning. The analysis of historical trends in and determinants of energy consumption is carried out by the office's End-Use Research Section. The End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side conservation planning, load forecasting, and conservation program development and delivery. Part of this on-going program, commonly known as the End-Use Load and Consumer Assessment Program (ELCAP), was recently renamed the Regional End-Use Metering Project (REMP) to reflect an emphasis on metering rather than analytical activities. REMP is designed to collect electricity usage data through direct monitoring of end-use loads in buildings in the residential and commercial sectors and is conducted for Bonneville by Pacific Northwest Laboratories (Battelle). The detailed summary information in this report is on energy used for water heaters in the residential sector and is based on data collected from September 1985 through December 1990 for 336 of the 499 REMP metered homes. Specific information is provided on annual loads averaged over the years and their variation across residences. Descriptions are given of use as associated with demographic and energy-related characteristics. Summaries are also provided for electricity use by each year, month, and daytype, as well as at peak hot water load and peak system times. This is the second residential report. This report focuses on a specific end use and adds detail to the first report. Subsequent reports are planned on other individual end uses or sets of end uses. 15 refs., 29 figs., 10 tabs.

Taylor, Megan E., Ritland, Keith G., Pratt, R.G.

1991-09-01T23:59:59.000Z

288

Production of Medium BTU Gas by In Situ Gasification of Texas Lignite  

E-Print Network (OSTI)

The necessity of providing clean, combustible fuels for use in Gulf Coast industries is well established; one possible source of such a fuel is to perform in situ gasification of Texas lignite which lies below stripping depths. If oxygen (rather than air) is used for gasification, the resulting medium Btu gas could be economically transported by pipeline from the gasification sites to the Gulf coast. Technical, environmental, and economic aspects of implementing this technology are discussed.

Edgar, T. F.

1979-01-01T23:59:59.000Z

289

Development and testing of low-Btu fuel gas turbine combustors  

SciTech Connect

The integrated gasification combined cycle (IGCC) concept represents a highly efficient and environmentally compatible advanced coal fueled power generation technology. When IGCC is coupled with high temperature desulfurization, or hot gas cleanup (HGCU), the efficiency and cost advantage of IGCC is further improved with respect to systems based on conventional low temperature gas cleanup. Commercialization of the IGCC/HGCU concept requires successful development of combustion systems for high temperature low Btu fuel in gas turbines. Toward this goal, a turbine combustion system simulator has been designed, constructed, and fired with high temperature low Btu fuel. Fuel is supplied by a pilot scale fixed bed gasifier and hot gas desulfurization system. The primary objectives of this project are: (1) demonstration of long term operability of the turbine simulator with high temperature low Btu fuel; (2) characterization of particulates and other contaminants in the fuel as well as deposits in the fuel nozzle, combustor, and first stage nozzle; and (3) measurement of NO{sub x}, CO, unburned hydrocarbons, trace element, and particulate emissions.

Bevan, S.; Abuaf, N.; Feitelberg, A.S.; Hung, S.L.; Samuels, M.S.; Tolpadi, A.K.

1994-10-01T23:59:59.000Z

290

An Evaluation of Low-BTU Gas from Coal as an Alternate Fuel for Process Heaters  

E-Print Network (OSTI)

As the price gap between oil and natural gas and coal continues to widen, Monsanto has carefully searched out and examined opportunities to convert fuel use to coal. Preliminary studies indicate that the low-btu gas produced by fixed-bed, air blown gasifiers could potentially replace the natural gas now used in process heaters. The technology is well established and requires less capital than the higher-btu process heaters. Low-btu gas has sufficient heating value and flame temperature to be acceptable fuel for most process heaters. Economics for gas production appear promising, but somewhat uncertain. Rough evaluations indicate rates of return of as much as 30-40%. However, the economics are very dependent on a number of site- specific considerations including: coal vs. natural gas prices, economic life of the gas-consuming facility, quantity of gas required, need for desulfurization, location of gasifiers in relation to gas users, existence of coal unloading and storage facilities, etc. Two of these factors, the difference between coal and natural gas prices and the project life are difficult to predict. The resulting uncertainty has caused Monsanto to pursue coal gasification for process heaters with cautious optimism, on a site by site basis.

Nebeker, C. J.

1982-01-01T23:59:59.000Z

291

CBECS 1989 - Energy End-use Intensities in Commercial Buildings -- Detailed  

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

Publication > Detailed Tables Publication > Detailed Tables 1989 Energy End-Use Intensities Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. Table Organization The following 13 tables present detailed energy end-use consumption data from the 1989 CBECS. Summary tables for all major fuels (electricity, natural gas, fuel oil, and district heat) appear first, followed by separate tables for each of the four major fuels. Within each energy sourceÂ’s group of tables, there is a table showing end-use consumption, a table showing end-use intensities (consumption per square foot), and a table (except for fuel oil and district heat) showing the end-use shares of total consumption.

292

"NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)"  

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

4 Relative Standard Errors for Table 6.4;" 4 Relative Standard Errors for Table 6.4;" " Unit: Percents." " "," ",,,"Consumption" " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Employment Size" ," Under 50",3,4,4 ," 50-99",5,5,5 ," 100-249",4,4,3

293

Table 10.9 Photovoltaic Cell and Module Shipments by Sector and ...  

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. ... Table 10.9 Photovoltaic Cell and Module Shipments by Sector and End Use, 1989-2010

294

How much energy is consumed in the world by each sector? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

The electricity it produces is consumed by the end-use sectors. There are also losses in electricity generation, transmission, ... tariff, and demand charge data?

295

Sector 7  

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

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

296

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

297

Low/medium-Btu coal-gasification assessment program for specific sites of two New York utilities  

SciTech Connect

The scope of this study is to investigate the technical and economic aspects of coal gasification to supply low- or medium-Btu gas to the two power plant boilers selected for study. This includes the following major studies (and others described in the text): investigate coals from different regions of the country, select a coal based on its availability, mode of transportation and delivered cost to each power plant site; investigate the effects of burning low- and medium-Btu gas in the selected power plant boilers based on efficiency, rating and cost of modifications and make recommendations for each; and review the technical feasibility of converting the power plant boilers to coal-derived gas. The following two coal gasification processes have been used as the basis for this Study: the Combustion Engineering coal gasification process produces a low-Btu gas at approximately 100 Btu/scf at near atmospheric pressure; and the Texaco coal gasification process produces a medium-Btu gas at 292 Btu/scf at 800 psig. The engineering design and economics of both plants are described. Both plants meet the federal, state, and local environmental requirements for air quality, wastewater, liquid disposal, and ground level disposal of byproduct solids. All of the synthetic gas alternatives result in bus bar cost savings on a yearly basis within a few years of start-up because the cost of gas is assumed to escalate at a lower rate than that of fuel oil, approximately 4 to 5%.

Not Available

1980-12-01T23:59:59.000Z

298

Design and Performance of a Low Btu Fuel Rich-Quench-Lean Gas Turbine Combustor  

SciTech Connect

General Electric Company is developing gas turbines and a high temperature desulfurization system for use in integrated gasification combined cycle (IGCC) power plants. High temperature desulfurization, or hot gas cleanup (HGCU), offers many advantages over conventional low temperature desulfurization processes, but does not reduce the relatively high concentrations of fuel bound nitrogen (FBN) that are typically found in low Btu fuel. When fuels containing bound nitrogen are burned in conventional gas turbine combustors, a significant portion of the FBN is converted to NO{sub x}. Methods of reducing the NO{sub x} emissions from IGCC power plants equipped with HGCU are needed. Rich-quench-lean (RQL) combustion can decrease the conversion of FBN to NO{sub x} because a large fraction of the FBN is converted into non-reactive N{sub 2} in a fuel rich stage. Additional air, required for complete combustion, is added in a quench stage. A lean stage provides sufficient residence time for complete combustion. Objectives General Electric has developed and tested a rich-quench-lean gas turbine combustor for use with low Btu fuels containing FBN. The objective of this work has been to design an RQL combustor that has a lower conversion of FBN to N{sub x} than a conventional low Btu combustor and is suitable for use in a GE heavy duty gas turbine. Such a combustor must be of appropriate size and scale, configuration (can-annular), and capable of reaching ``F`` class firing conditions (combustor exit temperature = 2550{degrees}F).

Feitelberg, A.S.; Jackson, M.R.; Lacey, M.A.; Manning, K.S.; Ritter, A.M.

1996-12-31T23:59:59.000Z

299

Data on energy end-use patterns and energy efficiencies in major CO sub 2 emitting countries  

SciTech Connect

This is a report of the basic data regarding energy end-uses and efficiencies in major CO{sub 2} emitting countries. The task is part of the multi-lab carbon dioxide energy system research program. Fossil energy production and use are the largest anthropogenic source of CO{sub 2} emissions. To gain an insight into the relationship between CO{sub 2} emission and energy use, the global energy consumption patterns and the changing energy efficiencies must be better analyzed and understood. This work attempts to collect and organize the data on energy use and energy efficiency for the ten major CO{sub 2} emitting countries: USA, USSR, the People's Republic of China, Japan, the Federal Republic of Germany, the United Kingdom, France, Canada, Italy, and Australia. A wide variety of information sources have been examined. The data base is presented in tabular format. It is documented by three main parts, the first shows the total final energy consumption by fuel type and end-use sector for each nation. The second shows the detailed energy use by fuel type and function for each end-use sector: residential, commercial, transportation and industrial. The third part shows the country-specific energy balances for electricity generation and use. The data base is a living document and will be updated as additional information becomes available. The data base is to be used to accomplish the ultimate objective of improving the reliability of future CO{sub 2}-emissions estimates. 7 refs., 12 tabs.

Cheng, Hsing C.

1990-08-01T23:59:59.000Z

300

Data on energy end-use patterns and energy efficiencies in major CO sub 2 emitting countries  

SciTech Connect

This is a report of the basic data regarding energy end-uses and efficiencies in major CO{sub 2} emitting countries. The task is part of the multi-lab carbon dioxide energy system research program. Fossil energy production and use are the largest anthropogenic source of CO{sub 2} emissions. To gain an insight into the relationship between CO{sub 2} emission and energy use, the global energy consumption patterns and the changing energy efficiencies must be better analyzed and understood. This work attempts to collect and organize the data on energy use and energy efficiency for the ten major CO{sub 2} emitting countries: USA, USSR, the People's Republic of China, Japan, the Federal Republic of Germany, the United Kingdom, France, Canada, Italy, and Australia. A wide variety of information sources have been examined. The data base is presented in tabular format. It is documented by three main parts, the first shows the total final energy consumption by fuel type and end-use sector for each nation. The second shows the detailed energy use by fuel type and function for each end-use sector: residential, commercial, transportation and industrial. The third part shows the country-specific energy balances for electricity generation and use. The data base is a living document and will be updated as additional information becomes available. The data base is to be used to accomplish the ultimate objective of improving the reliability of future CO{sub 2}-emissions estimates. 7 refs., 12 tabs.

Cheng, Hsing C.

1990-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "btu end-use sectors" 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

Understanding Utility Rates or How to Operate at the Lowest $/BTU  

E-Print Network (OSTI)

This paper is intended to give the reader knowledge into utility marketing strategies, rates, and services. Although water is a utility service, this paper will concern itself with the energy utilities, gas and electric. Commonality and diversity exist in the strategies and rates of the gas and electric utilities. Both provide services at no charge which make energy operation for their customers easier, safer and more economical. It is important to become familiar with utility strategies, rates, and services because energy knowledge helps your business operate at the lowest energy cost ($/BTU).

Phillips, J. N.

1993-03-01T23:59:59.000Z

302

Survey-guided load research: An end-use analysis methodology test  

SciTech Connect

Energy use by end-use equipment is a function of the rated capacity of the equipment, frequency of use, and duration of each use. Many end used include multiple states, each with a different capacity, frequency, and duration. Some equipment provides benefits that are related to other uses, resulting in an indirect linkage between the primary energy-using equipment and the end use. Water heaters are one example. End-use metering of energy-using equipment provides the most accurate measure of energy use. Nevertheless, this energy-use ``signal`` is buried in background ``noise`` due to variations in the capacity, frequency, and duration of each end use and end user. Reliable estimates of energy use depend on a variety of methods to increase the ``signal-to-noise`` ratio (i.e., reduce the variance). Research of the energy consumption of household end-uses contains some inherent sampling problems: intrusiveness, cost, extensive data generated, analyses are time and computationally intensive. The goal of the methodology test described in this paper was to address these problems through a method that focused end-use analyses on a limited set of issues and data for program evaluation purposes. The approach tested used a detailed survey of end-use metered subjects to identify the pattern of end-use behavior as an alternative to estimating the frequency and duration of each use from the end-use data itself.

Warwick, W.M.

1993-08-01T23:59:59.000Z

303

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

E-Print Network (OSTI)

LPG Furnace Oil Furnace Electric Heat Pump Gas BoilerOil Boiler Electric Room Heater Gas Room Heater Wood Stove (Electric Heat Pump Gas Boiler Oil Boiler Electric Room Gas

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

304

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

E-Print Network (OSTI)

=1 Index 1990=1 Lighting 0-1 hrs 1-2 hrs Usage level 2-3 hrsMiscellaneous Lighting 0-1 hrs 1-2 hrs Usage level 2-3 hrsMiscellaneous Lighting 0-1 hrs 1-2 hrs Usage level 2-3 hrs

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

305

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

E-Print Network (OSTI)

Description Prices for oil, gas, electricity, liquidElectric Electric Electric Gas Oil Electric ElectricElectric Gas Electric Gas Oil Electric Electric Gas Oil

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

306

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

E-Print Network (OSTI)

A comparison of national energy consumption by fuel typeenergy consumption in homes under differing assumptions, scenarios, and policies. At the national

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

307

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

E-Print Network (OSTI)

heaters, clothes washers, dishwashers, lighting, cooking,Refrigerators Water Heaters Dishwashers Clothes Washersof its useful life. For dishwashers, clothes washers, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

308

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

E-Print Network (OSTI)

gas Oil Secondary Heating Wood Stove Secondary Cooling RoomTotal Secondary Heating Wood Stove Secondary Cooling Room ACConsumption Secondary Heating Wood Stove Secondary Cooling

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

309

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

E-Print Network (OSTI)

light bulbs having designated usage level in the average house. (3) Refrigerator marketlight bulbs having designated usage level in the average house. (3) Refrigerator market

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

310

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

E-Print Network (OSTI)

year consumption estimates. DISCUSSION The Importance of Miscellaneous ElectricityConsumption of New Equipment Index kWh/Year MMBtu/Year MMBtu/Year ElectricityConsumption of Equipment in Existing Homes Index kWh/Year MMBtu/Year MMBtu/Year Electricity

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

311

Energy End-Use Intensities in Commercial Buildings 1989 data -- Publication  

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

End-Use Intensities Executive Summary > Publication and Tables End-Use Intensities Executive Summary > Publication and Tables Publication and Tables Energy End Uses Ranked by Energy Consumption, 1989 Figure on Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F 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 - Energy End-Use Intensities in Commercial Buildings (1989 data) (file size .89 MB) pages: 140

312

The Potential to Reduce CO2 Emissions by Expanding End-Use Applications of Electricity  

Science Conference Proceedings (OSTI)

Depending on the sources of electricity production, the use of electricity can be a contributing factor to net CO2 emissions. What is less obvious is that using efficient end-use electric technologies has the potential save energy and decrease overall CO2 emissions substantially. The two main mechanisms for saving energy and reducing CO2 emissions with electric end-use technologies are (1) upgrading existing electric technologies, processes, and building energy systems; and (2) expanding end-use applica...

2009-03-30T23:59:59.000Z

313

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

Gasoline and Diesel Fuel Update (EIA)

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

314

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

Gasoline and Diesel Fuel Update (EIA)

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

315

Table A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | Annual Energy Outlook 2013 Reference case Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Energy Information Administration / Annual Energy Outlook 2013 Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Key indicators and consumption Reference case Annual growth 2011-2040 (percent) 2010 2011 2020 2025 2030 2035 2040 Key indicators Households (millions) Single-family ....................................................... 82.85 83.56 91.25 95.37 99.34 103.03 106.77 0.8% Multifamily ........................................................... 25.78 26.07 29.82 32.05 34.54 37.05 39.53 1.4%

316

Table 4. Sales of Distillate Fuel Oil by End Use, 1999 and 2000 ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration 13 Fuel Oil and Kerosene Sales 2000 Table 4. Sales of Distillate Fuel Oil by End Use, 1999 and 2000 (Thousand Gallons)

317

ANN-based residential water end-use demand forecasting model  

Science Conference Proceedings (OSTI)

Bottom-up urban water demand forecasting based on empirical data for individual water end uses or micro-components (e.g., toilet, shower, etc.) for different households of varying characteristics is undoubtedly superior to top-down estimates originating ... Keywords: Artificial neural network, Residential water demand forecasting, Water demand management, Water end use, Water micro-component

Christopher Bennett; Rodney A. Stewart; Cara D. Beal

2013-03-01T23:59:59.000Z

318

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

Science Conference Proceedings (OSTI)

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

Johnson, M.

1984-12-01T23:59:59.000Z

319

Sector 7  

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

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

320

Cofiring of coal and dairy biomass in a 100,000 btu/hr furnace  

E-Print Network (OSTI)

Dairy biomass (DB) is evaluated as a possible co-firing fuel with coal. Cofiring of DB offers a technique of utilizing dairy manure for power/steam generation, reducing greenhouse gas concerns, and increasing financial returns to dairy operators. The effects of cofiring coal and DB have been studied in a 30 kW (100,000 BTU/hr) burner boiler facility. Experiments were performed with Texas Lignite coal (TXL) as a base line fuel. The combustion efficiency from co-firing is also addressed in the present work. Two forms of partially composted DB fuels were investigated: low ash separated solids and high ash soil surface. Two types of coal were investigated: TXL and Wyoming Powder River Basin coal (WYO). Proximate and ultimate analyses were performed on coal and DB. DB fuels have much higher nitrogen (kg/GJ) and ash content (kg/GJ) than coal. The HHV of TXL and WYO coal as received were 14,000 and 18,000 kJ/kg, while the HHV of the LA-PC-DBSepS and the HA-PC-DB-SoilS were 13,000 and 4,000 kJ/kg. The HHV based on stoichiometric air were 3,000 kJ/kg for both coals and LA-PC-DB-SepS and 2,900 kJ/kg for HA-PC-DB-SoilS. The nitrogen and sulfur loading for TXL and WYO ranged from 0.15 to 0.48 kg/GJ and from 0.33 to 2.67 for the DB fuels. TXL began pyrolysis at 640 K and the WYO at 660 K. The HA-PC-DB-SoilSs began pyrolysis at 530 K and the LA-PC-DB-SepS at 510 K. The maximum rate of volatile release occurred at 700 K for both coals and HA-PC-DB-SoilS and 750K for LA-PC-DB-SepS. The NOx emissions for equivalence ratio (?) varying from 0.9 to 1.2 ranged from 0.34 to 0.90 kg/GJ (0.79 to 0.16 lb/mmBTU) for pure TXL. They ranged from 0.35 to 0.7 kg/GJ (0.82 to 0.16 lb/mmBTU) for a 90:10 TXL:LA-PC-DB-SepS blend and from 0.32 to 0.5 kg/GJ (0.74 to 0.12 lb/mmBTU) for a 80:20 TXL:LA-PC-DB-SepS blend over the same range of ?. In a rich environment, DB:coal cofiring produced less NOx and CO than pure coal. This result is probably due to the fuel bound nitrogen in DB is mostly in the form of urea which reduces NOx to non-polluting gases such as nitrogen (N2).

Lawrence, Benjamin Daniel

2007-12-01T23:59:59.000Z

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


321

Combined compressed air storage-low BTU coal gasification power plant  

DOE Patents (OSTI)

An electrical generating power plant includes a Compressed Air Energy Storage System (CAES) fueled with low BTU coal gas generated in a continuously operating high pressure coal gasifier system. This system is used in coordination with a continuously operating main power generating plant to store excess power generated during off-peak hours from the power generating plant, and to return the stored energy as peak power to the power generating plant when needed. The excess coal gas which is produced by the coal gasifier during off-peak hours is stored in a coal gas reservoir. During peak hours the stored coal gas is combined with the output of the coal gasifier to fuel the gas turbines and ultimately supply electrical power to the base power plant.

Kartsounes, George T. (Naperville, IL); Sather, Norman F. (Naperville, IL)

1979-01-01T23:59:59.000Z

322

Materials exposure test facilities for varying low-Btu coal-derived gas  

SciTech Connect

As a part of the United States Department of Energy's High Temperature Turbine Technology Readiness Program, the Morgantown Energy Technology Center is participating in the Ceramics Corrosion/Erosion Materials Study. The objective is to create a technology base for ceramic materials which could be used by stationary gas power turbines operating in a high-temperature, coal-derived, low-Btu gas products of combustion environment. Two METC facilities have been designed, fabricated and will be operated simultaneously exposing ceramic materials dynamically and statically to products of combustion of a coal-derived gas. The current studies will identify the degradation of ceramics due to their exposure to a coal-derived gas combustion environment.

Nakaishi, C.V.; Carpenter, L.K.

1980-01-01T23:59:59.000Z

323

Analysis of industrial markets for low and medium Btu coal gasification. [Forecasting  

SciTech Connect

Low- and medium-Btu gases (LBG and MBG) can be produced from coal with a variety of 13 existing and 25 emerging processes. Historical experience and previous studies indicate a large potential market for LBG and MBG coal gasification in the manufacturing industries for fuel and feedstocks. However, present use in the US is limited, and industry has not been making substantial moves to invest in the technology. Near-term (1979-1985) market activity for LBG and MBG is highly uncertain and is complicated by a myriad of pressures on industry for energy-related investments. To assist in planning its program to accelerate the commercialization of LBG and MBG, the Department of Energy (DOE) contracted with Booz, Allen and Hamilton to characterize and forecast the 1985 industrial market for LBG and MBG coal gasification. The study draws five major conclusions: (1) There is a large technically feasible market potential in industry for commercially available equipment - exceeding 3 quadrillion Btu per year. (2) Early adopters will be principally steel, chemical, and brick companies in described areas. (3) With no additional Federal initiatives, industry commitments to LBG and MBG will increase only moderately. (4) The major barriers to further market penetration are lack of economic advantage, absence of significant operating experience in the US, uncertainty on government environmental policy, and limited credible engineering data for retrofitting industrial plants. (5) Within the context of generally accepted energy supply and price forecasts, selected government action can be a principal factor in accelerating market penetration. Each major conclusion is discussed briefly and key implications for DOE planning are identified.

1979-07-30T23:59:59.000Z

324

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

E-Print Network (OSTI)

with Residential Electricity Demand in India's Future - HowThe Boom of Electricity Demand in the Residential Sector instraightforward. Electricity demand per end use and region

Letschert, Virginie

2010-01-01T23:59:59.000Z

325

,"U.S. Total Sales of Residual Fuel Oil by End Use"  

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

Residual Fuel Oil by End Use" Residual Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Sales of Residual Fuel Oil by End Use",8,"Annual",2012,"6/30/1984" ,"Release Date:","11/15/2013" ,"Next Release Date:","10/31/2014" ,"Excel File Name:","pet_cons_821rsd_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_cons_821rsd_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

326

,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"  

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

Residual Fuel Oil by End Use" Residual Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Adjusted Sales of Residual Fuel Oil by End Use",8,"Annual",2012,"6/30/1984" ,"Release Date:","11/15/2013" ,"Next Release Date:","10/31/2014" ,"Excel File Name:","pet_cons_821rsda_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_cons_821rsda_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

327

Sector X  

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

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

328

Sector 7  

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

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

329

,"U.S. Total Distillate Fuel Oil and Kerosene Sales by End Use...  

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

Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

330

"Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...  

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

,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f...

331

"End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b...  

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

Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke...

332

Program on Technology Innovation: Opportunities for Advancing End-Use Energy Efficiency  

Science Conference Proceedings (OSTI)

This Strategic Science and Technology project identified promising opportunities to develop technologies that improve end-use energy efficiency and gauged interest within the utility industry and other stakeholders in funding research and development initiatives to develop these opportunities.

2005-05-10T23:59:59.000Z

333

"End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural...  

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

Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze...

334

"Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel...  

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

","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze...

335

,"U.S. Total Adjusted Sales of Distillate Fuel Oil by End Use...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Adjusted Sales of Distillate Fuel Oil by End Use",13,"Annual",2012,"6301984"...

336

2012 End-Use Energy Efficiency and Demand Response, EPRI Program 170: Summary of Deliverables  

Science Conference Proceedings (OSTI)

The EPRI research program on End-Use Energy Efficiency and Demand Response (Program 170) is focused on the assessment, testing, and demonstration of energy-efficient and intelligent end-use devices, as well as analytical studies of the economic, environmental, and behavioral aspects of energy efficiency and demand response. The 2012 reports, tools and resources produced in this program are available to employees of funding companies, and can be accessed by clicking on the product number link listed after ..

2013-05-22T23:59:59.000Z

337

An intelligent pattern recognition model to automate the categorisation of residential water end-use events  

Science Conference Proceedings (OSTI)

The rapid dissemination of residential water end-use (e.g. shower, clothes washer, etc.) consumption data to the customer via a web-enabled portal interface is becoming feasible through the advent of high resolution smart metering technologies. However, ... Keywords: Dynamic time warping algorithm, Gradient vector filtering, Hidden Markov model, Residential water flow trace disaggregation, Water demand management, Water end-use event, Water micro-component

K. A. Nguyen, R. A. Stewart, H. Zhang

2013-09-01T23:59:59.000Z

338

Survey of End-Use Metering Equipment, Sensors, and Designers/Installers  

Science Conference Proceedings (OSTI)

End-use data metering technology has come of age in the last several years, with many new specialized products becoming available. This report represents the first survey of end-use metering and monitoring equipment and of sensors typically used with such equipment. It also surveys organizations that provide design and/or installation services for demand-side management metering and monitoring systems.

1992-10-01T23:59:59.000Z

339

Sector 7  

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

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

340

Commercial equipment loads: End-Use Load and Consumer Assessment Program (ELCAP)  

SciTech Connect

The Office of Energy Resources of the Bonneville Power Administration is generally responsible for the agency's power and conservation resource planning. As associated responsibility which supports a variety of office functions is the analysis of historical trends in and determinants of energy consumption. The Office of Energy Resources' End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side planning, load forecasting, and demand-side program development and delivery. Part of this on-going program is known as the End-Use Load and Consumer Assessment Program (ELCAP), an effort designed to collect electricity usage data through direct monitoring of end-use loads in buildings. This program is conducted for Bonneville by the Pacific Northwest Laboratory. This report provides detailed information on electricity consumption of miscellaneous equipment from the commercial portion of ELCAP. Miscellaneous equipment includes all commercial end-uses except heating, ventilating, air conditioning, and central lighting systems. Some examples of end-uses covered in this report are office equipment, computers, task lighting, refrigeration, and food preparation. Electricity consumption estimates, in kilowatt-hours per square food per year, are provided for each end-use by building type. The following types of buildings are covered: office, retail, restaurant, grocery, warehouse, school, university, and hotel/motel. 6 refs., 35 figs., 12 tabs.

Pratt, R.G.; Williamson, M.A.; Richman, E.E.; Miller, N.E.

1990-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "btu end-use sectors" 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

The effect of efficiency standards on water use and water heating energy use in the US: A detailed end-use treatment  

SciTech Connect

Water heating is an important end-use, accounting for roughly 16% of total primary energy consumption in the US residential sector. Recently enacted efficiency standards on water heaters and hot water-using equipment (e.g., dishwashers, clothes washers, showerheads, and faucets) will substantially affect the energy use of water heaters in the future. Assessment of current and future utility programs and government policies requires that regulators, resource planners, and forecasters understand the effects of these regulations. In order to quantify these impacts, this paper presents a detailed end-use breakdown of household hot and cold water use developed for the US Department of Energy. This breakdown is based on both previous studies and new data and analysis. It is implemented in a spreadsheet forecasting framework, which allows significant flexibility in specifying end-use demands and linkages between water heaters and hot water-using appliances. We disaggregate total hot and cold water use (gallons per day) into their component parts: showers, baths, faucets (flow dominated and volume dominated), toilets, landscaping/other, dishwashers, and clotheswashers. We then use the end-use breakdown and data on equipment characteristics to assess the impacts of current efficiency standards on hot water use and water heater energy consumption.

Koomey, J.G.; Dunham, C.; Lutz, J.D.

1994-05-01T23:59:59.000Z

342

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1  

E-Print Network (OSTI)

energy consumption in each sector (e.g. per capita value of industrial shipments, travel demand, rate of increase

Authors, Various

2011-01-01T23:59:59.000Z

343

Heavy duty gas turbine combustion tests with simulated low BTU coal gas  

DOE Green Energy (OSTI)

There is an increasing industry interest in integrated gas turbine combined cycle plants in which coal gasifiers provide the fuel for the gas turbines. Some gasifier plant designs, including the air-blown processes, some integrated oxygen blown processes and some oxygen-blown processes followed by heavy moisturization, produce fuel gases which have lower heating values ranging from 130 to below 100 BTU/scf for which there is little gas turbine combustion experience. This program has the objectives to: Parametrically determine the effects of moisture, nitrogen and carbon dioxide as diluents so that the combustion characteristics of many varieties of gasification product gases can be reasonably predicted without physically testing each specific gas composition; determine emissions characteristics including NO{sub x}, CO, levels etc. associated with each of the diluents; operate with two syngas compositions; DOE chosen air-blown and integrated oxygen-blown, to confirm that the combustion characteristics are in line with predictions; determine if ``logical`` refinements to the fuel nozzle will yield improved performance for LBTU fuels; determine the conversion rate of ammonia to NO{sub x}; determine the effects of methane inclusion in the fuel.

Ekstrom, T.E.; Battista, R.A.; Maxwell, G.P.

1992-12-31T23:59:59.000Z

344

Heavy duty gas turbine combustion tests with simulated low BTU coal gas  

DOE Green Energy (OSTI)

There is an increasing industry interest in integrated gas turbine combined cycle plants in which coal gasifiers provide the fuel for the gas turbines. Some gasifier plant designs, including the air-blown processes, some integrated oxygen blown processes and some oxygen-blown processes followed by heavy moisturization, produce fuel gases which have lower heating values ranging from 130 to below 100 BTU/scf for which there is little gas turbine combustion experience. This program has the objectives to: Parametrically determine the effects of moisture, nitrogen and carbon dioxide as diluents so that the combustion characteristics of many varieties of gasification product gases can be reasonably predicted without physically testing each specific gas composition; determine emissions characteristics including NO[sub x], CO, levels etc. associated with each of the diluents; operate with two syngas compositions; DOE chosen air-blown and integrated oxygen-blown, to confirm that the combustion characteristics are in line with predictions; determine if logical'' refinements to the fuel nozzle will yield improved performance for LBTU fuels; determine the conversion rate of ammonia to NO[sub x]; determine the effects of methane inclusion in the fuel.

Ekstrom, T.E.; Battista, R.A.; Maxwell, G.P.

1992-01-01T23:59:59.000Z

345

Heavy duty gas turbine combustion tests with simulated low BTU coal gas  

SciTech Connect

There is an increasing industry interest in integrated gas turbine combined cycle plants in which coal gasifiers provide the fuel for the gas turbines. Some gasifier plant designs, including the air-blown processes, some integrated oxygen blown processes and some oxygen-blown processes followed by heavy moisturization, produce fuel gases which have lower heating values ranging from 130 to below 100 BTU/scf for which there is little gas turbine combustion experience. This program has the objectives to: Parametrically determine the effects of moisture, nitrogen and carbon dioxide as diluents so that the combustion characteristics of many varieties of gasification product gases can be reasonably predicted without physically testing each specific gas composition; determine emissions characteristics including NO[sub x], CO, levels etc. associated with each of the diluents; operate with two syngas compositions; DOE chosen air-blown and integrated oxygen-blown, to confirm that the combustion characteristics are in line with predictions; determine if logical'' refinements to the fuel nozzle will yield improved performance for LBTU fuels; determine the conversion rate of ammonia to NO[sub x]; determine the effects of methane inclusion in the fuel.

Ekstrom, T.E.; Battista, R.A.; Maxwell, G.P.

1992-01-01T23:59:59.000Z

346

energy use by sector | OpenEI  

Open Energy Info (EERE)

use by sector use by sector Dataset Summary Description Statistics New Zealand conducted and published results of an energy use survey across industry and trade sectors to evaluate energy use in 2009. The data includes: energy use by fuel type and industry (2009); petrol and diesel purchasing and end use by industry (2009); energy saving initiatives by industry (2009); and areas identified as possibilities for less energy use (2009). Source Statistics New Zealand Date Released October 15th, 2010 (4 years ago) Date Updated Unknown Keywords diesel energy savings energy use by sector New Zealand petrol Data application/vnd.ms-excel icon New Zealand Energy Use Survey: Industrial and Trade Sectors (xls, 108 KiB) application/zip icon Energy Use Survey (zip, 127 KiB) Quality Metrics

347

Service Report Enwgy Information Administration Office of Energy Markets and End Use  

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

Enwgy Information Administration Enwgy Information Administration Office of Energy Markets and End Use U;S. Department of Energy Washington, O.C. 20585 ^ ± SR-EEUD--84-I leather izat ion Program Evaluation §]*: b? .. Gerald E. Pealjody of Energy Markets and End Use Energy End Use Division August 20, 1984 This raport has not received a complete technical review by the Energy In formation Administration (E1A) and, therefore, should not be represented as an official EIA product. |||lsS|; program in 198 l^^lRia; study is based -on a scatii;f|^ipiiii|', national samp 1* Of : - households chac aarcicipscac in the pr; 3 §S||tMi-lfc|Sis2?ia covers ;he ^tiecrr^n: of conditions under vhich the p This ,s«;;5^H:«lil-lSi|iuGcaG ac che requesic of :rva

348

GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0  

SciTech Connect

1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: • Water heater • Lights • Dishwasher • Range • Microwave • Refrigerator • Internal gains (plug loads) • House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

2008-07-31T23:59:59.000Z

349

End-Use Load and Consumer Assessment Program: Analysis of residential refrigerator/freezer performance  

SciTech Connect

The Bonneville Power Administration (Bonneville) is conducting a large end-use data acquisition program in an effort to understand how energy is utilized in buildings with permanent electric space heating equipment in the Pacific Northwest. The initial portion of effort, known as the End-Use Load and Consumer Assessment Program (ELCAP), was conducted for Bonneville by the Pacific Northwest Laboratory (PNL). The collection of detailed end-use data provided an opportunity to analyze the amount of energy consumed by both refrigerators and separate freezers units located in residential buildings. By obtaining this information, the uncertainty of long- term regional end-use forecasting can be improved and potential utility marketing programs for new appliances with a reduced overall energy demand can be identified. It was found that standby loads derived from hourly averages between 4 a.m. and 5 a.m. reflected the minimum consumption needed to maintain interior refrigerator temperatures at a steady-state condition. Next, an average 24-hour consumption that included cooling loads from door openings and cooling food items was also determined. Later, analyses were conducted to develop a model capable of predicting refrigerator standby loads and 24-hour consumption for comparison with national refrigerator label ratings. Data for 140 residential sites with a refrigeration end-use were screened to develop a sample of 119 residences with pure refrigeration for use in this analysis. To identify those refrigerators that were considered to be pure (having no other devices present on the circuit) in terms of their end-use classification, the screening procedure used a statistical clustering technique that was based on standby loads with 24-hour consumption. 5 refs., 18 figs., 4 tabs.

Ross, B.A.

1991-09-01T23:59:59.000Z

350

Analysis of medium-BTU gasification condensates, June 1985-June 1986  

DOE Green Energy (OSTI)

This report provides the final results of chemical and physical analysis of condensates from biomass gasification systems which are part of the US Department of Energy Biomass Thermochemical Conversion Program. The work described in detail in this report involves extensive analysis of condensates from four medium-BTU gasifiers. The analyses include elemental analysis, ash, moisture, heating value, density, specific chemical analysis, ash, moisture, heating value, density, specific chemical analysis (gas chromatography/mass spectrometry, infrared spectrophotometry, Carbon-13 nuclear magnetic resonance spectrometry) and Ames Assay. This work was an extension of a broader study earlier completed of the condensates of all the gasifers and pyrolyzers in the Biomass Thermochemical Conversion Program. The analytical data demonstrates the wide range of chemical composition of the organics recoverd in the condensates and suggests a direct relationship between operating temperature and chemical composition of the condensates. A continuous pathway of thermal degradation of the tar components as a function of temperature is proposed. Variations in the chemical composition of the organic in the tars are reflected in the physical properties of tars and phase stability in relation to water in the condensate. The biological activity appears to be limited to the tars produced at high temperatures as a result of formation of polycyclic aromatic hydrocarbons in high concentrations. Future studies of the time/temperature relationship to tar composition and the effect of processing atmosphere should be undertaken. Further processing of the condensates either as wastewater treatment or upgrading of the organics to useful products is also recommended. 15 refs., 4 figs., 4 tabs.

Elliott, D.C.

1987-05-01T23:59:59.000Z

351

Sector 7  

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

Research Programs Research Programs Sector 7's research program exploits the brilliance of the APS undulator radiation to perform material research studies with high spatial and temporal resolution. Microbeam studies are made using x-ray beam sizes on the submicron-scale, and time-resolved diffraction measurements are carried out with picosecond resolution. Sector 7's undulator line has experimental enclosures dedicated to both time-resolved and microbeam research. In one of these enclosures (7ID-D), a femtosecond laser facility is set up for ultrafast diffraction and spectroscopy studies in a pump-probe geometry. The 7ID-B hutch is a white beam capable station used for time-resolved phase-contrast imaging and beamline optics development. A third enclosure (7ID-C) is instrumented for high-resolution diffraction studies with a Huber 6-circle diffractometer. The instrument is ideal for thin-film and interface studies, including the recently developed Coherent Bragg Rod Analysis (COBRA) technique. The fs-laser has recently been delivered to 7ID-C so time-resolved laser pump-x-ray probe can be performed in 7ID-C since March 2007. An x-ray streak camera is also being commissioned in 7ID-C. 7ID-C is equipped for microdiffraction studies with a small Huber 4-cicle diffractometer used with zone-plate optics.

352

Table 8.9 Electricity End Use, 1949-2011 (Billion Kilowatthours)  

U.S. Energy Information Administration (EIA)

street and highway lighting, interdepartmental sales, and other sales to public authorities. 2 Commercial sector, including public street and highway lighting, ...

353

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

E-Print Network (OSTI)

energy policy initiatives (EIA 1990). Utilities rely on end-use forecasting models in order to assess market trends

Johnson, F.X.

2010-01-01T23:59:59.000Z

354

Electricity end-use efficiency: Experience with technologies, markets, and policies throughout the world  

Science Conference Proceedings (OSTI)

In its August meeting in Geneva, the Energy and Industry Subcommittee (EIS) of the Policy Response Panel of the Intergovernmental Panel on Climate Change (IPCC) identified a series of reports to be produced. One of these reports was to be a synthesis of available information on global electricity end-use efficiency, with emphasis on developing nations. The report will be reviewed by the IPCC and approved prior to the UN Conference on Environment and Development (UNCED), Brazil, June 1992. A draft outline for the report was submitted for review at the November 1991 meeting of the EIS. This outline, which was accepted by the EIS, identified three main topics to be addressed in the report: status of available technologies for increasing electricity end-use efficiency; review of factors currently limiting application of end-use efficiency technologies; and review of policies available to increase electricity end-use efficiency. The United States delegation to the EIS agreed to make arrangements for the writing of the report.

Levine, M.D.; Koomey, J.; Price, L. [Lawrence Berkeley Lab., CA (United States); Geller, H.; Nadel, S. [American Council for an Energy-Efficient Economy, Washington, DC (United States)

1992-03-01T23:59:59.000Z

355

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

E-Print Network (OSTI)

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting. DE-AC03-76SF00098 #12;i ABSTRACT This report details the data, assumptions and methodology for end-use provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

356

Evaluation of consumer demand for selected end-use markets for cotton  

E-Print Network (OSTI)

The U.S. cotton industry is facing a rapidly diminishing share of the domestic and foreign textile markets. To become more competitive in these markets, the textile industry should know where consumer demand is being directed. The objectives of this study were to quantitatively examine the demand for cotton in twelve selected end-uses from 1973 to 1997. Four structural models were developed to explain demand, two of which were built using the results from directed graphs. Changes in fashion and governmental policy were also assessed during this time period. Economic theory and prior literature suggested that the following factors influence demand at the end-use level: Disposable Personal Income, the Consumer Price Index for Apparel and Upkeep, cotton fiber prices lagged one year, polyester fiber prices lagged one year, and population segmented by age and gender. Regression results indicate that the Consumer Price Index, the lagged polyester prices, and the population variables most significantly contribute to the demand for cotton. A negative polyester coefficient was associated in all cases of significance, characterizing cotton and polyester fiber as complements in end-uses. Out-of-sample forecasts were generated for the years 1993 to 1997, and then evaluated using the Theil's U statistic, the Root Mean Square Error, and the Mean Absolute Percentage Error. The forecasts from the full models, those with all variables, outperformed the directed graph models in terms of predictive power. Differences in significant variables and variability in forecasting accuracy among the different end-uses suggests that there is an inherent difficulty in modeling the demand for a fiber in its end-use. A common saying in the fashion industry is that "the only constant is change." A constantly changing industry thus presents difficulty in quantifying, modeling, and forecasting.

Viator, Catherine Longman

2000-01-01T23:59:59.000Z

357

Policy Drivers for Improving Electricity End-Use Efficiency in the U.S.: An Economic-Engineering Analysis  

E-Print Network (OSTI)

This paper estimates the economically achievable potential for improving electricity end-use efficiency in the U.S. The approach involves identifying a series of energy-efficiency policies aimed at tackling market failures, and then examining their impacts and cost-effectiveness using Georgia Tech’s version of the National Energy Modeling System (GT-NEMS). By estimating the policy-driven electricity savings and the associated levelized costs, a policy supply curve for electricity efficiency is produced. Each policy is evaluated individually and in an Integrated Policy scenario to examine policy dynamics. The Integrated Policy scenario demonstrates significant achievable potential: 261 TWh (6.5%) of electricity savings in 2020, and 457 TWh (10.2%) in 2035. All eleven policies examined were estimated to have lower levelized costs than average electricity retail prices. Levelized costs range from 0.5 – 8.0 cent/kWh, with the regulatory and information policies tending to be most cost-effective. Policy impacts on the power sector, carbon dioxide emissions, and energy intensity are also estimated to be significant. *Corresponding author:

Yu Wang; Marilyn A. Brown; Yu Wang

2013-01-01T23:59:59.000Z

358

Word Pro - Untitled1  

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

of Natural Gas, Selected Years, 1949-2011 (Btu per Cubic Foot) Year Production Consumption 1 Imports Exports Marketed Dry End-Use Sectors 2 Electric Power Sector 3 Total 1949...

359

Sector 7  

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

User Information & Getting Beamtime User Information & Getting Beamtime There are three ways to request beamtime to perform an experiment on APS-7ID. One can request beam time as an APS General User, as an APS Partner User, or one can contact a staff member of Sector 7 to work collaboratively with them using a small amount of staff time to gather preliminary data. 80% of the available beamtime on 7ID is given to General and Partner Users, while 20% is reserved for staff use. Beam time is allocated and announced by email shortly before the start of an experimental run. In October 2002, beamline 7ID welcomed its first APS General Users (GU). To gain access to 7ID, General or Partner Users are required to submit a proposal to the APS GU Website by the specified deadline. Sucessful proposals will be scheduled for the next cycle following the proposal deadline. There are three proposal cycles per year with deadlines about two months before the start of a run. The deadlines and General User forms are available on the web through the APS General User Web site. Specific instructions for new General Users are available on the site. These instructions can be helpful also for new APS Users in general.

360

Sector 7  

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

Overview and History Overview and History Sector 7 consists of two APS beamlines: 7-ID: an insertion device beamline based on an APS Type-A Undulator 7-BM: a bend magnet beam line for time-resolved radiography (currently being commissioned) Overview of 7-ID 7-ID comprises four large experimental enclosures designated A, B, C, and D. In 2004, a laser enclosure was also added (7ID-E). Enclosure 7-ID-A is the first optics enclosure and houses a polished Be window, an empty x-ray filter unit, a pair of white beam slits, a water-cooled double crystal diamond monochromator (Kohzu HLD4), and a P4 mode shutter. The beamline vertical offset is 35 mm. Enclosure 7-ID-B is a white-, or monochromatic-beam experimental enclosure. It is equipped with two precision motorized table for alignment and positioning of experimental equipment. This station is used for white-beam imaging or microdiffraction experiments.

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


361

"Table B25. Energy End Uses, Floorspace for Non-Mall Buildings, 2003"  

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

5. Energy End Uses, Floorspace for Non-Mall Buildings, 2003" 5. Energy End Uses, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All Buildings* ...............",64783,60028,56940,56478,22237,3138 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,5668,5007,4759,997,"Q" "5,001 to 10,000 ..............",6585,5786,5408,5348,1136,214 "10,001 to 25,000 .............",11535,10387,9922,9562,1954,472 "25,001 to 50,000 .............",8668,8060,7776,7734,2511,"Q"

362

Residential Sector Demand Module 1998, Model Documentation  

Reports and Publications (EIA)

This is the fourth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1998. Since last year, severalnew end-use services were added to the module, including: Clothes washers,dishwashers, furnace fans, color televisions, and personal computers. Also, as with allNEMS modules, the forecast horizon has been extended to the year 2020.

John H. Cymbalsky

1998-01-01T23:59:59.000Z

363

Project on restaurant energy performance: end-use monitoring and analysis. Appendixes I and II  

Science Conference Proceedings (OSTI)

This is the second volume of the report, ''The Porject on Restaurant Energy Performance - End-Use Monitoring and Analysis''. The first volume (PNL-5462) contains a summary and analysis of the metered energy performance data collected by the Project on Restaurant Energy Performance (PREP). Appendix I, presented here, contains monitoring site descriptions, measurement plans, and data summaries for the seven restaurants metered for PREP. Appendix II, also in this volume, is a description of the PREP computer system.

Claar, C.N.; Mazzucchi, R.P.; Heidell, J.A.

1985-05-01T23:59:59.000Z

364

Evaluation of Embedded Solutions for Decreasing Sensitivity of End-Use Equipment to Power Quality Variations  

Science Conference Proceedings (OSTI)

This document provides a conceptual overview of embedded solutions for sensitivity to power quality variations, assesses its benefits, and describes its potential in four end-use equipment categories. The report focuses on the technical and market issues associated with equipment modification provided by original equipment manufacturers (OEMs) to improve equipment tolerance to various power quality phenomena. The report describes approaches and technologies for improving performance, discusses specific i...

1999-12-14T23:59:59.000Z

365

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.

366

High Btu gas from peat. A feasibility study. Part 2. Management plans for project continuation. Task 10. Final report  

Science Conference Proceedings (OSTI)

The primary objective of this task, which was the responsibility of the Minnesota Gas Company, was to determine the needs of the project upon completion of the feasibility study and determine how to implement them most effectively. The findings of the study do not justify the construction of an 80 billion Btu/day SNG from peat plant. At the present time Minnegasco will concentrate on other issues of peat development. Other processes, other products, different scales of operation - these are the issues that Minnegasco will continue to study. 3 references.

Not Available

1982-01-01T23:59:59.000Z

367

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

E-Print Network (OSTI)

Eighth Electric Utility Forecasting Symposium in Baltimore,Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Johnson, F.X.

2010-01-01T23:59:59.000Z

368

Sector 30 - useful links  

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

Useful Links Sector 30 Sector Orientation Form HERIX experiment header for lab book MERIX experiment header for lab book Printing from your laptop at the beamline Other IXS sectors...

369

Project on Restaurant Energy Performance: end-use monitoring and analysis  

Science Conference Proceedings (OSTI)

Although energy bills for restaurants throughout the United States exceed 5 billion dollars annually, very little has been documented with respect to when and how restaurants use energy, or how such use can be reduced cost-effectively. This report summarizes the results of a multiyear collaborative research effort, designed to collect information on end-use energy consumption. Objective is to reveal the quantities and profiles of energy consumption of typical food service operations by time of day and end use. This information, when examined in conjunction with building characteristics, allows detailed study of energy use cause and effect and energy conservation potential. Seven representative monitoring sites were selected, a computerized data acquisition network was designed and implemented, and detailed energy performance was compiled for a 1 year period (July 1983 through June 1984). Each of the seven facilities monitored was selected to represent the seven most common restaurant types and to provide information on a wide variety of commonly used restaurant equipment. Preliminary findings are presented.

Claar, C.N.; Mazzucchi, R.P.; Heidell, J.A.

1985-05-01T23:59:59.000Z

370

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-10-01T23:59:59.000Z

371

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-01-01T23:59:59.000Z

372

Electricity Supply Sector  

U.S. Energy Information Administration (EIA)

Electricity Supply Sector Part 1 of 6 Supporting Documents Sector-Specific Issues and Reporting Methodologies Supporting the General Guidelines for the Voluntary

373

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

E-Print Network (OSTI)

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

374

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

Open Energy Info (EERE)

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

375

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Sector Energy Demand Commercial Sector Energy Demand On This Page End-use efficiency... Growth in electricity use... Core technologies... Improved interconnection... End-use efficiency improvements could lower energy consumption per capita The AEO2011 Reference case shows minimal change in commercial energy use per capita between 2009 and 2035 (Figure 62). While growth in commercial floorspace (1.2 percent per year) is faster than growth in population (0.9 percent per year), energy use per capita remains relatively steady due to efficiency improvements in equipment and building shells. Efficiency standards and the addition of more efficient technologies account for a large share of the improvement in the efficiency of end-use services, notably in space cooling, refrigeration, and lighting. figure data

376

Project on restaurant energy performance end-use monitoring and analysis  

Science Conference Proceedings (OSTI)

This paper summarizes the results of a research program intended to build an understanding of restaurant energy performance upon an empirical foundation. This discussion provides some background for this effort, brief descriptions of the facilities selected for study, the measurement methods, the empirical findings, an overview of conservation opportunities revealed, and general conclusions. Seven monitoring sites were carefully selected to represent the most common categories of food service by the National Restaurant Association. A microcomputer based data acquisition was designed and implemented to acquire 15-minute interval data on end-use energy consumption, interior temperatures, and external climate conditions for a one year monitoring period. The project archived over 87% of the available data, which has been converted into several formats for dissemination. Restaurants are found to be very intensive users of energy due largely to the frequent usage of food preparation equipment and the high ventilation requirements.

Mazzucchi, R.P.

1986-04-01T23:59:59.000Z

377

The project on restaurant energy performance end-use monitoring and analysis  

SciTech Connect

This paper summarizes the results of a research program intended to build an understanding of restaurant energy performance upon an empirical foundation. This discussion provides some background for the effort, brief descriptions of the facilities selected for study, the methods of measurement, the empirical findings, an overview of conservation opportunities revealed, and general conclusions. Seven monitoring sites were carefully selected to represent the most common categories of food service by the National Restaurant Association. A microcomputer-based data acquisition was designed and implemented to acquire data at 15-minute intervals on end-use energy consumption, interior temperatures, and external climatic conditions for a one-year monitoring period. The project archived over 87% of the available data, which have been converted into several formats for dissemination.

Mazzucchi, R.P.

1986-01-01T23:59:59.000Z

378

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

Gasoline and Diesel Fuel Update (EIA)

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

379

COMPCOAL{trademark}: A profitable process for production of a stable high-Btu fuel from Powder River Basin coal  

SciTech Connect

Western Research Institute (WRI) is developing a process to produce a stable, clean-burning, premium fuel from Powder River Basin (PRB) coal and other low-rank coals. This process is designed to overcome the problems of spontaneous combustion, dust formation, and readsorption of moisture that are experienced with PRB coal and with processed PRB coal. This process, called COMPCOAL{trademark}, results in high-Btu product that is intended for burning in boilers designed for midwestern coals or for blending with other coals. In the COMPCOAL process, sized coal is dried to zero moisture content and additional oxygen is removed from the coal by partial decarboxylation as the coal is contacted by a stream of hot fluidizing gas in the dryer. The hot, dried coal particles flow into the pyrolyzer where they are contacted by a very small flow of air. The oxygen in the air reacts with active sites on the surface of the coal particles causing the temperature of the coal to be raised to about 700{degrees}F (371{degrees}C) and oxidizing the most reactive sites on the particles. This ``instant aging`` contributes to the stability of the product while only reducing the heating value of the product by about 50 Btu/lb. Less than 1 scf of air per pound of dried coal is used to avoid removing any of the condensible liquid or vapors from the coal particles. The pyrolyzed coal particles are mixed with fines from the dryer cyclone and dust filter and the resulting mixture at about 600{degrees}F (316{degrees}C) is fed into a briquettor. Briquettes are cooled to about 250{degrees}F (121{degrees}C) by contact with a mist of water in a gas-tight mixing conveyor. The cooled briquettes are transferred to a storage bin where they are accumulated for shipment.

Smith, V.E.; Merriam, N.W.

1994-10-01T23:59:59.000Z

380

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm  

SciTech Connect

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings' EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

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


381

Global warming and end-use efficiency implications of replacing CFCs  

SciTech Connect

The direct contribution of CFCs to calculated global warming has been recognized for some time. As a result of the international agreement to phase out CFCs due to stratospheric ozone and the ensuing search for suitable alternatives, there has recently been increased attention on the DIRECT global warming potential (GWP) of the fluorocarbon alternatives as greenhouse gases. However, to date there has been little focus on the INDIRECT global warming effect arising from end-use efficiency changes and associated CO{sub 2} emissions. A study being conducted at Oak Ridge National Laboratory (ORNL) addresses this combined or total global warming impact of viable options to replace CFCs in their major energy-related applications. This paper reviews selected results for air-conditioning, refrigeration, and heat pump applications. The analysis indicates that the CFC user industries have made substantial progress in approaching near-equal energy efficiency with the HCFC/HFC alternative refrigerants. The findings also bring into question the relative importance of the DIRECT (chemical-related) effect in many applications. Replacing CFCs is an important step in reducing the total global warming impact, and at present the HCFC and HFCS appear to offer the best efficiency and lowest total impact of options available in the relatively short time period required for the transition away from CFCs.

Fairchild, P.D.; Fischer, S.K.

1991-12-31T23:59:59.000Z

382

Development of an Energy Savings Benchmark for All Residential End-Uses: Preprint  

DOE Green Energy (OSTI)

To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in 2003. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines, with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a''standard'' set of occupants, was created for use in conjunction with the Benchmark. Finally, a set of tools was developed by NREL and other Building America partners to help analysts compare whole-house energy use for a Prototype house to the Benchmark in a fair and consistent manner.

Hendron, R.; Anderson, R.; Christensen, C.; Eastment, M.; Reeves, P.

2004-08-01T23:59:59.000Z

383

AEO2011: Renewable Energy Consumption by Sector and Source | OpenEI  

Open Energy Info (EERE)

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

384

~A four carbon alcohol. It has double the amount of carbon of ethanol, which equates to a substantial increase in harvestable energy (Btu's).  

E-Print Network (OSTI)

to a substantial increase in harvestable energy (Btu's). ~Butanol is safer to handle with a Reid Value of 0.33 psi is easily recovered, increasing the energy yield of a bushel of corn by an additional 18 percent over the energy yield of ethanol produced from the same quantity of corn. ~Current butanol prices as a chemical

Toohey, Darin W.

385

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

Reports and Publications (EIA)

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

Information Center

2007-03-11T23:59:59.000Z

386

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

Science Conference Proceedings (OSTI)

This study assesses for California how increasing end-use electrical energy efficiency from installing residential insulation impacts exposures and disease burden from power-plant pollutant emissions. Installation of fiberglass attic insulation in the nearly 3 million electricity-heated homes throughout California is used as a case study. The pollutants nitrous oxides (NO{sub x}), sulfur dioxide (SO{sub 2}), fine particulate matter (PM2.5), benzo(a)pyrene, benzene, and naphthalene are selected for the assessment. Exposure is characterized separately for rural and urban environments using the CalTOX model, which is a key input to the US Environmental Protection Agency (EPA) Tool for the Reduction and Assessment of Chemicals and other environmental Impacts (TRACI). The output of CalTOX provides for urban and rural populations emissions-to-intake factors, which are expressed as an individual intake fraction (iFi). The typical iFi from power plant emissions are on the order of 10{sup -13} (g intake per g emitted) in urban and rural regions. The cumulative (rural and urban) product of emissions, population, and iFi is combined with toxic effects factors to determine human damage factors (HDFs). HDF are expressed as disability adjusted life years (DALYs) per kilogram pollutant emitted. The HDF approach is applied to the insulation case study. Upgrading existing residential insulation to US Department of Energy (DOE) recommended levels eliminates over the assmned 50-year lifetime of the insulation an estimated 1000 DALYs from power-plant emissions per million tonne (Mt) of insulation installed, mostly from the elimination of PM2.5 emissions. In comparison, the estimated burden from the manufacture of this insulation in DALYs per Mt is roughly four orders of magnitude lower than that avoided.

McKone, Thomas E.; Lobscheid, A.B.

2006-06-01T23:59:59.000Z

387

Energy end-use metering in two modular office buildings at Fort Irwin, California  

SciTech Connect

This report documents the application of the Mobile Energy Laboratory (MEL) at Fort Irwin for the period 21 December 1989 to 27 January 1992. The purpose of the test was to monitor electrical demands in Buildings 567 and 571 by end use and to monitor the response of the HVAC systems to internal and external loads. Results of two years of monitoring are summarized below. The observed energy-use intensities (EUIs) were 13.7 kWh/ft{sup 2}-yr for Building 567 and 10.4 kWh/ft{sup 2}-yr for Building 571. The corresponding numbers for HVAC energy were 5.9 and 5.3 kWh/ft{sup 2}-yr. Lighting used about 35%, primary HVAC 40% (heating 8%, cooling 32%), supply fans 3% and other equipment (mostly plug loads) about 20% of the total. Over 10% of the primary HVAC energy used in Building 567 was the result of simultaneous heating and cooling. Six energy conservation measures were evaluated: (1) delamping and retrofit of T-12 fluorescent fixtures with T-8 systems; (2) installation of two-speed fans with operation at the lower speed (67% of rated airflow) during occupied periods whenever a unit is not heating or cooling; (3) retrofit of heat pump compressors with two-speed compressors; (4) installation of controls that eliminate non-productive simultaneous heating and cooling and provide improved night and weekend setback; (5) coating the existing black roof material with a white reflective material; and (6) adding an economizer system to provide outside air cooling. The estimated energy savings as a percent of whole-building energy use are: Lighting HVAC Savings -- 26%; Two-Speed Fans -- 2%; Two-Speed Compressors -- 11%; Improved HVAC Controls -- 5%; White Roof Coating -- 5%; Economizer Cooling -- 5 %. The total energy savings that can be achieved through the measures is 49%.

Armstrong, P.R.; Keller, J.M.

1994-01-01T23:59:59.000Z

388

EIA - International Energy Outlook 2008-Transportation Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Sector Energy Consumption Transportation Sector Energy Consumption International Energy Outlook 2008 Chapter 6 - Transportation Sector Energy Consumption In the IEO2008 reference case, transportation energy use in the non-OECD countries increases by an average of 3.0 percent per year from 2005 to 2030, as compared with an average of 0.7 percent per year for the OECD countries. Over the next 25 years, world demand for liquids fuels and other petroleum is expected to increase more rapidly in the transportation sector than in any other end-use sector. In the IEO2008 reference case, the transportation share of total liquids consumption increases from 52 percent in 2005 to 58 percent in 2030. Much of the growth in transportation energy use is projected for the non-OECD nations, where many rapidly expanding economies

389

Low NO{sub x} turbine power generation utilizing low Btu GOB gas. Final report, June--August 1995  

SciTech Connect

Methane, a potent greenhouse gas, is second only to carbon dioxide as a contributor to potential global warming. Methane liberated by coal mines represents one of the most promising under exploited areas for profitably reducing these methane emissions. Furthermore, there is a need for apparatus and processes that reduce the nitrogen oxide (NO{sub x}) emissions from gas turbines in power generation. Consequently, this project aims to demonstrate a technology which utilizes low grade fuel (CMM) in a combustion air stream to reduce NO{sub x} emissions in the operation of a gas turbine. This technology is superior to other existing technologies because it can directly use the varying methane content gases from various streams of the mining operation. The simplicity of the process makes it useful for both new gas turbines and retrofitting existing gas turbines. This report evaluates the feasibility of using gob gas from the 11,000 acre abandoned Gateway Mine near Waynesburg, Pennsylvania as a fuel source for power generation applying low NO{sub x} gas turbine technology at a site which is currently capable of producing low grade GOB gas ({approx_equal} 600 BTU) from abandoned GOB areas.

Ortiz, I.; Anthony, R.V.; Gabrielson, J.; Glickert, R.

1995-08-01T23:59:59.000Z

390

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

4 Appendix F Table F10. Total Non-OECD delivered energy consumption by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sectorfuel Projections Average annual percent change,...

391

International Energy Outlook 2013  

Annual Energy Outlook 2012 (EIA)

0 Appendix F Table F16. Delivered energy consumption in the Middle East by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sectorfuel Projections Average annual percent...

392

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

Gasoline and Diesel Fuel Update (EIA)

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

393

,"U.S. Total Adjusted Distillate Fuel Oil and Kerosene Sales by End Use"  

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

Distillate Fuel Oil and Kerosene Sales by End Use" Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Residential",4,"Annual",2012,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2012,"6/30/1984" ,"Data 3","Industrial",9,"Annual",2012,"6/30/1984" ,"Data 4","Farm",4,"Annual",2012,"6/30/1984" ,"Data 5","Electric Power",2,"Annual",2012,"6/30/1984" ,"Data 6","Oil Company",2,"Annual",2012,"6/30/1984"

394

Table 2.1c Commercial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

R=Revised. P=Preliminary. NA=Not available. - =No data reported. (s)=Less than 0.5 trillion Btu. 6 Conventional hydroelectricity net generation (converted to Btu ...

395

Coal sector profile  

SciTech Connect

Coal is our largest domestic energy resource with recoverable reserves estimated at 268 billion short tons or 5.896 quads Btu equivalent. This is approximately 95 percent of US fossil energy resources. It is relatively inexpensive to mine, and on a per Btu basis it is generally much less costly to produce than other energy sources. Its chief drawbacks are the environmental, health and safety concerns that must be addressed in its production and consumption. Historically, coal has played a major role in US energy markets. Coal fueled the railroads, heated the homes, powered the factories. and provided the raw materials for steel-making. In 1920, coal supplied over three times the amount of energy of oil, gas, and hydro combined. From 1920 until the mid 1970s, coal production remained fairly constant at 400 to 600 million short tons a year. Rapid increases in overall energy demands, which began during and after World War II were mostly met by oil and gas. By the mid 1940s, coal represented only half of total energy consumption in the US. In fact, post-war coal production, which had risen in support of the war effort and the postwar Marshall plan, decreased approximately 25 percent between 1945 and 1960. Coal demand in the post-war era up until the 1970s was characterized by increasing coal use by the electric utilities but decreasing coal use in many other markets (e.g., rail transportation). The oil price shocks of the 1970s, combined with natural gas shortages and problems with nuclear power, returned coal to a position of prominence. The greatly expanded use of coal was seen as a key building block in US energy strategies of the 1970s. Coal production increased from 613 million short tons per year in 1970 to 950 million short tons in 1988, up over 50 percent.

1990-06-05T23:59:59.000Z

396

Sector 1 welcome  

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

Welcome to Sector 1 of the Advanced Photon Source (APS) located at Argonne Welcome to Sector 1 of the Advanced Photon Source (APS) located at Argonne National Laboratory (ANL). The Sector 1 beamlines are operated by the Materials Physics & Engineering Group (MPE) of the APS X-ray Science Division (XSD). Sector 1 consists of the 1-ID and 1-BM beamlines, and 80% of the available beamtime is accessible to outside users through the General User program. The main programs pursued at Sector 1 are described below. 1-ID is dedicated to providing and using brilliant, high-energy x-ray beams (50-150 keV) for the following activities: Coupled high-energy small- and wide-angle scattering (HE-SAXS/WAXS) High-energy diffraction microscopy (HEDM) Sector 1 General Layout Stress/strain/texture studies Pair-distribution function (PDF) measurements

397

Propane Demand by Sector  

U.S. Energy Information Administration (EIA)

We will be watching the agricultural sector, since the Agriculture Economic Research Service has predicted a record corn crop this year. ...

398

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

Gasoline and Diesel Fuel Update (EIA)

Renewable Renewable Wind dominates renewable capacity growth, but solar and biomass gain market share figure data From 2010 to 2035, total nonhydropower renewable generating capacity more than doubles in the AEO2012 Reference case (Figure 100). Wind accounts for the largest share of that new capacity, increasing from 39 gigawatts in 2010 to 70 gigawatts in 2035. Both solar capacity and biomass capacity grow at faster rates than wind capacity, but they start from smaller levels. Excluding new projects already under construction, PV accounts for nearly all solar capacity additions both in the end-use sectors (where 11 gigawatts of PV capacity is added from 2010 to 2035) and in the electric power sector (8 gigawatts added from 2010 to 2035). While end-use solar capacity grows throughout the projection, the growth of solar capacity in

399

A Study of Achievable Potential for Transmission and Disitribution Loss Reduction and End-Use Energy Efficiency for Eskom  

Science Conference Proceedings (OSTI)

This report documents the results of a study undertaken to assess the "end-to-end" achievable efficiency potential for Eskom’s electrical system. The assessment includes potential energy and demand savings estimates due to transmission and distribution loss reduction measures and implementation of end-use energy-efficiency measures over the period of 20122030.

2012-08-14T23:59:59.000Z

400

Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0  

SciTech Connect

End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

1994-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "btu end-use sectors" 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

The Impact of Codes, Regulations, and Standards on Split-Unitary Air Conditioners and Heat Pumps, 65,000 Btu/hr and Under  

Science Conference Proceedings (OSTI)

This document establishes a framework for understanding the technology and regulation of split-unitary air conditioners and heat pumps 65,000 Btu/hr and under. The reporting framework is structured so that it can be added to in the future. This study is broken into six chapters:The basic components, refrigeration cycle, operation, and efficiency ratings of split-unitary air conditioners and heat pumps are covered for background information.Equipment efficiency ...

2012-09-21T23:59:59.000Z

402

System and process for the abatement of casting pollution, reclaiming resin bonded sand, and/or recovering a low Btu fuel from castings  

DOE Patents (OSTI)

Air is caused to flow through the resin bonded mold to aid combustion of the resin binder to form a low Btu gas fuel. Casting heat is recovered for use in a waste heat boiler or other heat abstraction equipment. Foundry air pollutis reduced, the burned portion of the molding sand is recovered for immediate reuse and savings in fuel and other energy is achieved. 5 figs.

Scheffer, K.D.

1984-07-03T23:59:59.000Z

403

System and process for the abatement of casting pollution, reclaiming resin bonded sand, and/or recovering a low BTU fuel from castings  

DOE Patents (OSTI)

Air is caused to flow through the resin bonded mold to aid combustion of the resin binder to form a low BTU gas fuel. Casting heat is recovered for use in a waste heat boiler or other heat abstraction equipment. Foundry air pollution is reduced, the burned portion of the molding sand is recovered for immediate reuse and savings in fuel and other energy is achieved.

Scheffer, Karl D. (121 Governor Dr., Scotia, NY 12302)

1984-07-03T23:59:59.000Z

404

Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and  

Open Energy Info (EERE)

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

405

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

Gasoline and Diesel Fuel Update (EIA)

Oil/Liquids Oil/Liquids Petroleum and other liquids consumption outside industrial sector is stagnant or declines figure data Consumption of petroleum and other liquids peaks at 19.8 million barrels per day in 2019 in the AEO2013 Reference case and then falls to 18.9 million barrels per day in 2040 (Figure 93). The transportation sector accounts for the largest share of total consumption throughout the projection, although its share falls to 68 percent in 2040 from 72 percent in 2012 as a result of improvements in vehicle efficiency following the incorporation of CAFE standards for both LDVs and HDVs. Consumption of petroleum and other liquids increases in the industrial sector, by 0.6 million barrels per day from 2011 to 2040, but decreases in all the other end-use sectors.

406

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

Gasoline and Diesel Fuel Update (EIA)

Oil/Liquids Oil/Liquids Petroleum and other liquids consumption outside industrial sector is stagnant or declines figure data Consumption of petroleum and other liquids peaks at 19.8 million barrels per day in 2019 in the AEO2013 Reference case and then falls to 18.9 million barrels per day in 2040 (Figure 93). The transportation sector accounts for the largest share of total consumption throughout the projection, although its share falls to 68 percent in 2040 from 72 percent in 2012 as a result of improvements in vehicle efficiency following the incorporation of CAFE standards for both LDVs and HDVs. Consumption of petroleum and other liquids increases in the industrial sector, by 0.6 million barrels per day from 2011 to 2040, but decreases in all the other end-use sectors.

407

Fuel choice and aggregate energy demand in the commercial sector  

SciTech Connect

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

Cohn, S.

1978-12-01T23:59:59.000Z

408

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

409

Program on Technology Innovation: Electricity Use in the Electric Sector  

Science Conference Proceedings (OSTI)

While many utilities are encouraged by regulators to engage in end-use energy efficiency programs, few consider options to reduce energy losses along the electricity value chain, even though the electricity sector is the second largest electricity-consuming industry in the United States. Electricity used to facilitate power production, transmission, and distribution alone consumes approximately 11% of generated electricity. A number of technologies can be applied to reduce this electricity use. This repo...

2011-11-04T23:59:59.000Z

410

Energy Data Sourcebook for the U.S. Residential Sector  

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

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

411

BC Hydro Industrial Sector: Marketing Sector Marketing Plan (Fiscal 2005/Fiscal 2006)  

E-Print Network (OSTI)

BC Hydro, the major electricity utility in the Province of British Columbia has been promoting industrial energy efficiency for more than 15 years. Recently it has launched a new Demand Side Management initiative with the objective of obtaining 2000 GWh of energy savings from its industrial Sector by 2010. The authors have just recently completed a marketing plan for obtaining this level of energy savings. The Plan indicates how Programs and Initiatives have been and are being developed to overcome the barriers of Awareness and Understanding, Strategic Importance, Return & Affordability, Internal Constraints, and Program Eligibility. The Paper and presentation will explain how different Program Components address specific barriers, customer sectors and end-uses.

Willis, P.; Wallace, K.

2005-01-01T23:59:59.000Z

412

Non-Intrusive Load Monitoring (NILM)Technologies for End-Use Load Disaggregation: Laboratory Evaluation I  

Science Conference Proceedings (OSTI)

This report presents the results of a laboratory evaluation to assess the cost versus accuracy performance of residential non-intrusive load monitoring (NILM) technology. NILM is an evolving technology that can be deployed for utility and customer applications, such as end-use load disaggregation, energy audits, real-time customer information and appliance or load diagnostics. Commercial NILM products for utility and customer applications continue to emerge, although most products available today ...

2013-05-22T23:59:59.000Z

413

Demand Response-Ready End-Use Devices: Guiding Principles for Defining Criteria to Support Grid Needs  

Science Conference Proceedings (OSTI)

This report describes technology capabilities that support more automated and ubiquitous demand response. It reviews the Demand Response–Ready (DR-Ready) concept and related industry activities that support realization of the concept. In the DR-Ready vision, consumers receive DR-Ready end-use products at the point of purchase, thus eliminating the need for utility truck service visits to retrofit equipment, and thereby significantly reducing the cost of deploying DR-enabling ...

2013-12-21T23:59:59.000Z

414

Public Sector Energy Efficiency  

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

Capitol dome Capitol dome Public Sector Energy Efficiency Research on sustainable federal operations supports the implementation of sustainable policies and practices in the public sector. This work serves as a bridge between the technology development of Department of Energy's National Laboratories and the operational needs of public sector. Research activities involve many aspects of integrating sustainability into buildings and government practices, including technical assistance for sustainable building design, operations, and maintenance; project financing for sustainable facilities; institutional change in support of sustainability policy goals; and procurement of sustainable products. All of those activities are supported by our work on program and project evaluation, which analyzes overall program effectiveness while ensuring

415

The quality of the ELCAP (End-Use Load and Consumer Assessment Program) engineering data set: Background issues  

SciTech Connect

The Bonneville Power Administration (Bonneville) began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983. Prior to beginning ELCAP, there was an abundance of information regarding total power consumption for residential structures in the Pacific Northwest, through billing records for example, and limited information regarding power consumption by various end uses (such as hot water, heating and cooling). This program, conducted for Bonneville by the Pacific Northwest Laboratory, involves collecting and analyzing hourly end-use data in commercial and residential buildings in the Pacific Northwest. The purpose of this document is to provide background information to analyses that may use ELCAP data. In general, the ELCAP data set is extremely high in quality, but analysts should be aware of potential problems that could exist with a data set of this size. This report describes the quality of the ELCAP data and emphasizes the guidelines for data review along with limitations and suggestions regarding engineering and characteristics data including missing data values, procedures for time-stamp assignments, and incomplete integration periods. 3 figs.

Crowder, R.S. III; Miller, N.E.

1990-06-01T23:59:59.000Z

416

Sector 6 Research Highlights  

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

MM-Group Home MM-Group Home MMG Advisory Committees Beamlines 4-ID-C Soft Spectroscopy 4-ID-D Hard Spectroscopy 6-ID-B,C Mag. Scattering 6-ID-D HighE Scattering 29-ID IEX - ARPES,RSXS Getting Beamtime Sector Orientation Sector 4 Orientation Sector 6 Orientation Publications (4-ID) Publications (6-ID) Contact Us APS Ring Status Current APS Schedule Highlights of research on Sector 6 Teasing Out the Nature of Structural Instabilities in Ceramic Compounds Teasing Out the Nature of Structural Instabilities in Ceramic Compounds March 12, 2013 Researchers have used beamlines 6-ID-B at the APS and XmAS at the ESRF to probe the structure of the rare-earth magnetic material europium titanate. In a magnetic field, the optical properties of this system change quite dramatically, presenting hope of a strong magneto-electric material for potential use in new memory, processing, and sensor devices.

417

Buildings Sector Analysis  

SciTech Connect

A joint NREL, ORNL, and PNNL team conducted market analysis to help inform DOE/EERE's Weatherization and Intergovernmental Program planning and management decisions. This chapter presents the results of the market analysis for the Buildings sector.

Hostick, Donna J.; Nicholls, Andrew K.; McDonald, Sean C.; Hollomon, Jonathan B.

2005-08-01T23:59:59.000Z

418

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

419

Buildings Sector Analysis  

DOE Green Energy (OSTI)

A joint NREL, ORNL, and PNNL team conducted market analysis to help inform DOE/EERE's Weatherization and Intergovernmental Program planning and management decisions. This chapter presents the results of the market analysis for the Buildings sector.

Hostick, Donna J.; Nicholls, Andrew K.; McDonald, Sean C.; Hollomon, Jonathan B.

2005-08-01T23:59:59.000Z

420

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

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


421

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

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

422

Comparison of coal-based systems: marketability of medium-Btu gas and SNG (substitute natural gas) for industrial applications. Final report, July 1979-March 1982  

Science Conference Proceedings (OSTI)

In assessing the marketability of synthetic fuel gases from coal, this report emphasizes the determination of the relative attractiveness of substitute natural gas (SNG) and medium-Btu gas (MBG) for serving market needs in eight industrial market areas. The crucial issue in predicting the marketability of coal-based synthetic gas is the future price level of competing conventional alternatives, particularly oil. Under a low oil-price scenario, the market outlook for synthetic gases is not promising, but higher oil prices would encourage coal gasification.

Olsen, D.L.; Trexel, C.A.; Teater, N.R.

1982-05-01T23:59:59.000Z

423

Historical Renewable Energy Consumption by Energy Use Sector and Energy  

Open Energy Info (EERE)

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

424

" Row: End Uses;"  

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

" Conventional Boiler Use",3199,12,4,1271,2,11,5.6 " CHP andor Cogeneration Process",3515,8,2,834,"*",23,3.8 "Direct Uses-Total Process",768929,10,7,2907,16,17...

425

" Row: End Uses;"  

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

Fuel",12979,7,3,2074,3,26 " Conventional Boiler Use",12979,3,1,712,1,3 " CHP andor Cogeneration Process","--",4,3,1362,2,23 "Direct Uses-Total Process",675152,4,9,2549,7,13 "...

426

" Row: End Uses;"  

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

l",84,133,23,2119,8,547 " Conventional Boiler Use",84,71,17,1281,8,129 " CHP andor Cogeneration Process",0,62,6,838,1,417 "Direct Uses-Total Process",2639,62,52,2788,39,412 "...

427

PriceTechNotes2012.vp  

Gasoline and Diesel Fuel Update (EIA)

Data: Data: Prices and Expenditures 135 A P P E N D I X A Price and Expenditure Variables ARICD Asphalt and road oil price in the industrial Dollars per million Btu ARICDZZ is independent. sector. ARICDUS = ARICVUS / ARICBUS * 1000 ARICV Asphalt and road oil expenditures in the Million dollars ARICVZZ = ARICBZZ * ARICDZZ / 1000 industrial sector. ARICVUS = SARICVZZ ARTCD Asphalt and road oil average price, all sectors. Dollars per million Btu ARTCD = ARICD ARTCV Asphalt and road oil total expenditures. Million dollars ARTCV = ARICV ARTXD Asphalt and road oil average price, all end-use Dollars per million Btu ARTXD = ARTXV / ARTXB * 1000 sectors. ARTXV Asphalt and road oil total end-use expenditures. Million dollars ARTXV = ARICV AVACD Aviation gasoline price in the transportation Dollars per million Btu AVACDZZ is independent. sector. AVACDUS = AVACVUS / AVACBUS * 1000 AVACV Aviation gasoline expenditures

428

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Data Data 2011: Prices and Expenditures 135 A P P E N D I X A Price and Expenditure Variables ARICD Asphalt and road oil price in the industrial Dollars per million Btu ARICDZZ is independent. sector. ARICDUS = ARICVUS / ARICBUS * 1000 ARICV Asphalt and road oil expenditures in the Million dollars ARICVZZ = ARICBZZ * ARICDZZ / 1000 industrial sector. ARICVUS = SARICVZZ ARTCD Asphalt and road oil average price, all sectors. Dollars per million Btu ARTCD = ARICD ARTCV Asphalt and road oil total expenditures. Million dollars ARTCV = ARICV ARTXD Asphalt and road oil average price, all end-use Dollars per million Btu ARTXD = ARTXV / ARTXB * 1000 sectors. ARTXV Asphalt and road oil total end-use expenditures. Million dollars ARTXV = ARICV AVACD Aviation gasoline price in the transportation Dollars per million Btu AVACDZZ is independent. sector. AVACDUS = AVACVUS / AVACBUS * 1000 AVACV Aviation gasoline

429

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

Open Energy Info (EERE)

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

430

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

Open Energy Info (EERE)

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

431

Louisville Private Sector  

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

Private Sector Attendees Private Sector Attendees ENERGY STAR Kick-off Meeting December 2007 5/3rd Bank Al J Schneider Company (The Galt House East) Baptist Hospital East Brown - Forman Building Owner and Managers Association (BOMA) Louisville CB Richard Ellis Commercial Real Estate Women (CREW) Louisville Cushman Wakefield General Electric Company Golden Foods Greater Louisville Chapter of International Facility Management Association (IFMA) Hines Humana, Inc Institute of Real Estate Management (IREM) Kentucky Chapter Jewish Hospital & St Mary's Healthcare Kentucky Chapter, Certified Commercial Investment Managers (CCIM) Kentucky Governor's Office of Energy Policy Kentucky Society of Health Care Engineers Kindred Health Care Louisville Air Pollution Control Board

432

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2012-11-15T23:59:59.000Z

433

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2013-10-10T23:59:59.000Z

434

Making Africa's Power Sector Sustainable: An Analysis of Power Sector  

Open Energy Info (EERE)

Making Africa's Power Sector Sustainable: An Analysis of Power Sector Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Jump to: navigation, search Tool Summary Name: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa Agency/Company /Organization: United Nations Environment Programme, United Nations Economic Commission for Africa Sector: Energy Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Energy Access, - Environmental and Biodiversity Resource Type: Guide/manual, Lessons learned/best practices Website: www.uneca.org/eca_programmes/nrid/pubs/powersectorreport.pdf UN Region: Eastern Africa References: Making Africa's Power Sector Sustainable: An Analysis of Power Sector Reforms in Africa[1] Overview "This study assesses the socio-economic and environmental impacts of power

435

Measured electric hot water standby and demand loads from Pacific Northwest homes. End-Use Load and Consumer Assessment Program  

SciTech Connect

The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

Pratt, R.G.; Ross, B.A.

1991-11-01T23:59:59.000Z

436

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network (OSTI)

through EERE ..37ARRA BLS Btu CEE DHHS DOE EE EERE EESS EIA ESCO FERC FTE FYObtained 2008 budget data from EERE Workforce data for 2008

Goldman, Charles

2010-01-01T23:59:59.000Z

437

Private Sector Outreach and Partnerships  

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

ISER’s partnerships with the private sector are a strength which has enabled the division to respond to the needs of the sector and the nation. The division’s domestic capabilities have been...

438

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm. Final report  

SciTech Connect

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings` EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

439

Heavy Flavor & Dark Sector  

E-Print Network (OSTI)

We consider some contributions to rare processes in $B$ meson decays from a Dark Sector containing 2 light unstable scalars, with large couplings to each other and small mixings with Standard Model Higgs scalars. We show that existing constraints allow for an exotic contribution to high multiplicity final states with a branching fraction as large as $\\mathcal{O}(10^{-4})$, and that exotic particles could appear as narrow resonances or long lived particles which are mainly found in high multiplicity final states from $B$ decays.

Nelson, Ann E

2013-01-01T23:59:59.000Z

440

Financing end-use solar technologies in a restructured electricity industry: Comparing the cost of public policies  

DOE Green Energy (OSTI)

Renewable energy technologies are capital intensive. Successful public policies for promoting renewable energy must address the significant resources needed to finance them. Public policies to support financing for renewable energy technologies must pay special attention to interactions with federal, state, and local taxes. These interactions are important because they can dramatically increase or decrease the effectiveness of a policy, and they determine the total cost of a policy to society as a whole. This report describes a comparative analysis of the cost of public policies to support financing for two end-use solar technologies: residential solar domestic hot water heating (SDHW) and residential rooftop photovoltaic (PV) systems. The analysis focuses on the cost of the technologies under five different ownership and financing scenarios. Four scenarios involve leasing the technologies to homeowners in return for a payment that is determined by the financing requirements of each form of ownership. For each scenario, the authors examine nine public policies that might be used to lower the cost of these technologies: investment tax credits (federal and state), production tax credits (federal and state), production incentives, low-interest loans, grants (taxable and two types of nontaxable), direct customer payments, property and sales tax reductions, and accelerated depreciation.

Jones, E.; Eto, J.

1997-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "btu end-use sectors" 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

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

Gasoline and Diesel Fuel Update (EIA)

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

442

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

Gasoline and Diesel Fuel Update (EIA)

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

443

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

Gasoline and Diesel Fuel Update (EIA)

7. Key assumptions for the commercial sector in the AEO2012 integrated demand technology cases 7. Key assumptions for the commercial sector in the AEO2012 integrated demand technology cases Assumptions Integrated 2011 Deand Technology Integraged High Demand Technologya Integrated Buildings Best Available Demand Technologya End-use equipment Limited to technology menu available in 2011. Promulgated standards still take effect. Earlier availability, lower cost, and/ or higher efficiencies for advanced equipment. Purchases limited to highest available efficiency for each technology class, regardless of cost. Hurdle rates Same as Reference case distribution. All energy efficiency investments evaluated at 7-percent real interest rate. All energy efficiency investments evaluated at 7-percent real interest rate. Building shells Fixed at 2011 levels. 25 percent more improvement than in the Reference case by 2035. 50 percent more improvement than in the Reference case by 2035.

444

Sector 1 - Software  

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

APS Software APS Software Scientists and researchers at the APS develop custom scientific software to help with acquisition and analysis of beamline data. Several packages are available for a variety of platforms and uses. Data Acquisition Motion control and data collection at the 1-BM and 1-ID beamlines are primarily executed using EPICS software. We also utilize SPEC, running through EPICS, for many experiments. Data Analysis Some of the programs used at Sector 1 to analyse 1-d and/or 2-d data sets are described: Fit2d, for viewing and analysing 2-dimensional data Igor, for analysis of small-angle scattering data Matlab, for strain/texture analysis and image analysis. GSAS/EXPGUI, for structural refinement of diffraction data. A comprehensive list of Powder Diffraction Software and Resources can be

445

Louisville Private Sector Agenda  

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

Thursday, December 13, 2007 Thursday, December 13, 2007 9:00 AM - 12:00 PM Agenda * Welcome and introductions from the Mayor (9:00-9:15) o The Mayor's energy and climate protection goals for Louisville o Request for private sector input for the upcoming public-private partnership to promote increased energy efficiency in buildings throughout the Louisville community o Highlights from the December 12 meeting of the ENERGY STAR Challenge implementation group o Introduction to Metro's Green Initiative and goals for today's session * Getting started with ENERGY STAR (9:15-10:00) o Introduction to the program and overview of ENERGY STAR resources o Kentucky and regional ENERGY STAR Partners and labeled buildings o Simple steps for energy savings o The benefits of energy savings

446

Sector 6 Publications  

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

0 0 2009 2008 2007 2006 2005 2004 2003 2002 2001 APS Pubs. Database Sector 6 Publications Publications 2013:(45) "Classical and quantum phase transitions revealed using transport and x-ray measurements," Arnab Banerjee, Ph.D.-Thesis, University of Chicago, 2013. "Charge transfer and multiple density waves in the rare earth tellurides," A. Banerjee, Yejun Feng, D.M. Silevitch, Jiyang Wang, J.C. Lang, H.-H. Kuo, I.R. Fisher, T.F. Rosenbaum, Phys. Rev. B 87, 155131 (2013). "Controlling Size-Induced Phase Transformations Using Chemically Designed Nanolaminates," Matt Beekman, Sabrina Disch, Sergei Rouvimov, Deepa Kasinathan, Klaus Koepernik, Helge Rosner, Paul Zschack, Wolfgang S. Neumann, David C. Johnson, Angew. Chem. Int. Ed. 52, 13211 (2013).

447

Energy Sector Market Analysis  

SciTech Connect

This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

2006-10-01T23:59:59.000Z

448

Electric Power Sector  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Electric Power Sector Hydroelectric Power (a) ............... 0.670 0.785 0.653 0.561 0.633 0.775 0.631 0.566 0.659 0.776 0.625 0.572 2.668 2.605 2.633 Wood Biomass (b) ........................ 0.048 0.043 0.052 0.046 0.045 0.039 0.051 0.052 0.055 0.049 0.060 0.054 0.190 0.187 0.218 Waste Biomass (c) ....................... 0.063 0.064 0.066 0.069 0.061 0.063 0.063 0.064 0.062 0.065 0.068 0.065 0.262 0.250 0.261 Wind ............................................. 0.376 0.361 0.253 0.377 0.428 0.461 0.315 0.400 0.417 0.461 0.340 0.424 1.368 1.604 1.641 Geothermal ................................. 0.036 0.037 0.038 0.039 0.041 0.041 0.041 0.042 0.041 0.040 0.041 0.042 0.149 0.164 0.165 Solar ............................................. 0.007 0.022 0.021 0.014 0.013 0.022 0.026 0.016 0.021 0.048 0.048 0.025 0.064

449

Program Program Organization Country Region Topic Sector Sector  

Open Energy Info (EERE)

Program Organization Country Region Topic Sector Sector Program Organization Country Region Topic Sector Sector Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS Albania Enhancing Capacity for Low Emission Development Strategies EC LEDS United States Agency for International Development USAID United States Environmental Protection Agency United States Department of Energy United States Department of Agriculture United States Department of State Albania Southern Asia Low emission development planning LEDS Energy Land Climate Algeria Clean Technology Fund CTF Algeria Clean Technology Fund CTF African Development Bank Asian Development Bank European Bank for Reconstruction and Development EBRD Inter American Development Bank IDB World Bank Algeria South Eastern Asia Background analysis Finance Implementation

450

Sector trends and driving forces of global energy use and greenhouse gas emissions: focus in industry and buildings  

Science Conference Proceedings (OSTI)

Disaggregation of sectoral energy use and greenhouse gas emissions trends reveals striking differences between sectors and regions of the world. Understanding key driving forces in the energy end-use sectors provides insights for development of projections of future greenhouse gas emissions. This report examines global and regional historical trends in energy use and carbon emissions in the industrial, buildings, transport, and agriculture sectors, with a more detailed focus on industry and buildings. Activity and economic drivers as well as trends in energy and carbon intensity are evaluated. The authors show that macro-economic indicators, such as GDP, are insufficient for comprehending trends and driving forces at the sectoral level. These indicators need to be supplemented with sector-specific information for a more complete understanding of future energy use and greenhouse gas emissions.

Price, Lynn; Worrell, Ernst; Khrushch, Marta

1999-09-01T23:59:59.000Z

451

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

Open Energy Info (EERE)

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

452

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

Open Energy Info (EERE)

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

453

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

Open Energy Info (EERE)

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

454

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

Open Energy Info (EERE)

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

455

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

Open Energy Info (EERE)

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

456

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

Open Energy Info (EERE)

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

457

Sector 9 | Operations and Schedule  

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

Sector 9 Operations and Schedule Contents: 9-ID User Manual 9-BM User Manual Common Tasks Computers and Software Troubleshooting Web Cameras...

458

Automated on-line determination of PPB levels of sodium and potassium in low-Btu coal gas and fluidized bed combustor exhaust by atomic emission spectrometry  

SciTech Connect

The Morgantown Energy Technology Center (METC), US Department of Energy, is involved in the development of processes and equipment for production of low-Btu gas from coal and for fluidized bed combustion of coal. The ultimate objective is large scale production of electricity using high temperature gas turbines. Such turbines, however, are susceptible to accelerated corrosion and self-destruction when relatively low concentrations of sodium and potassium are present in the driving gas streams. Knowledge and control of the concentrations of those elements, at part per billion levels, are critical to the success of both the gas cleanup procedures that are being investigated and the overall energy conversion processes. This presentation describes instrumentation and procedures developed at the Ames Laboratory for application to the problems outlined above and results that have been obtained so far at METC. The first Ames instruments, which feature an automated, dual channel flame atomic emission spectrometer, perform the sodium and potassium determinations simultaneously, repetitively, and automatically every two to three minutes by atomizing and exciting a fraction of the subject gas sample stream in either an oxyhydrogen flame or a nitrous oxide-acetylene flame. The analytical results are printed and can be transmitted simultaneously to a process control center.

Haas, W.J. Jr.; Eckels, D.E.; Kniseley, R.N.; Fassel, V.A.

1981-01-01T23:59:59.000Z

459

Estimates of U.S. Commercial Building Electricity Intensity Trends: Issues Related to End-Use and Supply Surveys  

Science Conference Proceedings (OSTI)

This report examines measurement issues related to the amount of electricity used by the commercial sector in the U.S. and the implications for historical trends of commercial building electricity intensity (kWh/sq. ft. of floor space). The report compares two (Energy Information Administration) sources of data related to commercial buildings: the Commercial Building Energy Consumption Survey (CBECS) and the reporting by utilities of sales to commercial customers (survey Form-861). Over past two decades these sources suggest significantly different trend rates of growth of electricity intensity, with the supply (utility)-based estimate growing much faster than that based only upon the CBECS. The report undertakes various data adjustments in an attempt to rationalize the differences between these two sources. These adjustments deal with: 1) periodic reclassifications of industrial vs. commercial electricity usage at the state level and 2) the amount of electricity used by non-enclosed equipment (non-building use) that is classified as commercial electricity sales. In part, after applying these adjustments, there is a good correspondence between the two sources over the the past four CBECS (beginning with 1992). However, as yet, there is no satisfactory explanation of the differences between the two sources for longer periods that include the 1980s.

Belzer, David B.

2004-09-04T23:59:59.000Z

460

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4,622 3,903 72,095 24,853 6,367 4,930 8,216 85,241 24,032 5,238 4,930 9,448 Furnaces Water Heaters Ranges Clothes Dryers Fireplaces million Btu million Btu million Btu million...

Note: This page contains sample records for the topic "btu end-use sectors" 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

Update of Market Assessment for Capturing Water Conservation Opportunities in the Federal Sector  

Science Conference Proceedings (OSTI)

This updated market assessment for capturing water conservation opportunities in the Federal sector is based on a new analytical approach that utilizes newly available data and technologies. The new approach fine-tunes the original assessment by using actual Federal water use, which is now tracked by DOE (as compared to using estimated water use). Federal building inventory data is also used to disseminate water use by end-use technology in the Federal sector. In addition, this analysis also examines the current issues and obstacles that face performance contracting of water efficiency projects at Federal sites.

McMordie-Stoughton, Katherine L.; Solana, Amy E.; Elliott, Douglas B.; Sullivan, Gregory P.; Parker, Graham B.

2005-09-08T23:59:59.000Z

462

Comparative analysis of energy data bases for the industrial and commercial sectors  

SciTech Connect

Energy data bases for the industrial and commercial sectors were analyzed to determine how valuable this data might be for policy analysis. The approach is the same for both end-use sectors: first a descrption or overview of relevant data bases identifies the available data; the coverage and methods used to generate the data are then explained; the data are then characterized and examples are provided for the major data sets under consideration. A final step assesses the data bases under consideration and draws conclusions. There are a variety of data bases considered for each of the end-use sectors included in this report. Data bases for the industrial sector include the National Energy Accounts, process-derived data bases such as the Drexel data base and data obtained from industry trade associations. For the commercial sector, three types of data bases are analyzed: the Nonresidential Building Energy Consumption Surveys, Dodge Construction Data and the Building Owners and Manager's Association Experience Exchange Report.

Roop, J.M.; Belzer, D.B.; Bohn, A.A.

1986-12-01T23:59:59.000Z

463

Paraho environmental data. Part IV. Land reclamation and revegetation. Part V. Biological effects. Part VI. Occupational health and safety. Part VII. End use  

SciTech Connect

Characteristics of the environment and ecosystems at Anvil Points, reclamation of retorted shale, revegetation of retorted shale, and ecological effects of retorted shale are reported in the first section of this report. Methods used in screening shale oil and retort water for mutagens and carcinogens as well as toxicity studies are reported in the second section of this report. The third section contains information concerning the industrial hygiene and medical studies made at Anvil Points during Paraho research operations. The last section discusses the end uses of shale crude oil and possible health effects associated with end use. (DMC)

Limbach, L.K.

1982-06-01T23:59:59.000Z

464

industrial sector | OpenEI  

Open Energy Info (EERE)

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

465

service sector | OpenEI  

Open Energy Info (EERE)

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

466

Energy Sector Jobs | Department of Energy  

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

Sector Jobs Energy Sector Jobs New Report Highlights Growth of America's Clean Energy Job Sector: Taking a moment to break-down key findings from the latest Clean Energy Jobs...

467

Energy audits reveal significant energy savings potential in India`s commercial air-conditioned building sector  

SciTech Connect

The United States Agency for International Development (USAID) began its Energy Management Consultation and Training (EMCAT) project in India. The EMCAT project began in 1991 as a six-year (1991--1997) project to improve India`s technological and management capabilities for both the supply of energy and its efficient end use. The end-use component of EMCAT aims for efficient energy utilization by industries and other sectors such as the commercial sector. A specific task under the end-use component was to conduct energy surveys/audits in high energy-use sectors, such as air-conditioned (AC) buildings in the commercial sector, and to identify investment opportunities that could improve energy utilization. This article presents results of pre-investment surveys that were conducted at four commercial air-conditioned facilities in 1995. The four facilities included two luxury hotels in New Delhi, and one luxury hotel and a private hospital in Bombay. Energy conservation opportunities (ECOs) were explored in three major energy-using systems in these buildings: air-conditioning, lighting, and steam and domestic hot water systems.

Singh, G.; Presny, D.; Fafard, C. [Resource Management Associates of Madison, Inc., WI (United States)

1997-12-31T23:59:59.000Z

468

Market potential for solar thermal energy supply systems in the United States industrial and commercial sectors: 1990--2030. Final report  

DOE Green Energy (OSTI)

This report revises and extends previous work sponsored by the US DOE on the potential industrial market in the United States for solar thermal energy systems and presents a new analysis of the commercial sector market potential. Current and future industrial process heat demand and commercial water heating, space heating and space cooling end-use demands are estimated. The PC Industrial Model (PCIM) and the commercial modules of the Building Energy End-Use Model (BEEM) used by the DOE`s Energy Information Administration (EIA) to support the recent National Energy Strategy (NES) analysis are used to forecast industrial and commercial end-use energy demand respectively. Energy demand is disaggregated by US Census region to account for geographic variation in solar insolation and regional variation in cost of alternative natural gas-fired energy sources. The industrial sector analysis also disaggregates demand by heat medium and temperature range to facilitate process end-use matching with appropriate solar thermal energy supply technologies. The commercial sector analysis disaggregates energy demand by three end uses: water heating, space heating, and space cooling. Generic conceptual designs are created for both industrial and commercial applications. Levelized energy costs (LEC) are calculated for industrial sector applications employing low temperature flat plate collectors for process water preheat; parabolic troughs for intermediate temperature process steam and direct heat industrial application; and parabolic dish technologies for high temperature, direct heat industrial applications. LEC are calculated for commercial sector applications employing parabolic trough technologies for low temperature water and space heating. Cost comparisons are made with natural gas-fired sources for both the industrial market and the commercial market assuming fuel price escalation consistent with NES reference case scenarios for industrial and commercial sector gas markets.

Not Available

1991-12-01T23:59:59.000Z

469

Climate VISION: Private Sector Initiatives: Chemical Manufacturing: GHG  

Office of Scientific and Technical Information (OSTI)

Industry Analysis Briefs Industry Analysis Briefs The Energy Information Agency (EIA) is currently updating industry analysis briefs for the most energy-intensive industries in the United States, including aluminum, chemicals, forest products (such as paper and wood products), glass, metal casting, petroleum and coal products, and steel. As soon as the current briefs are available, we will provide the link. Industry Analysis Briefs will have the following content: Economic Profile and Trends Value of Shipments Annual Production Labor Productivity Energy Use Energy Use by Fuel Fuel Consumption by End Use Energy Consumption by Sector Energy Expenditures Onsite Generation (if applicable) Energy Intensity State-Level Information Technologies and Equipment Cogeneration Technologies (if applicable)

470

Climate VISION: Private Sector Initiatives: Aluminum: GHG Information -  

Office of Scientific and Technical Information (OSTI)

Industry Analysis Briefs Industry Analysis Briefs The Energy Information Agency (EIA) is currently updating industry analysis briefs for the most energy-intensive industries in the United States, including aluminum, chemicals, forest products (such as paper and wood products), glass, metal casting, petroleum and coal products, and steel. As soon as the current briefs are available, we will provide the link. Industry Analysis Briefs will have the following content: Economic Profile and Trends Value of Shipments Annual Production Labor Productivity Energy Use Energy Use by Fuel Fuel Consumption by End Use Energy Consumption by Sector Energy Expenditures Onsite Generation (if applicable) Energy Intensity State-Level Information Technologies and Equipment Cogeneration Technologies (if applicable)

471

Sectoral trends in global energy use and greenhouse gasemissions  

Science Conference Proceedings (OSTI)

In 2000, the Intergovernmental Panel on Climate Change (IPCC) published a new set of baseline greenhouse gas (GHG) emissions scenarios in the Special Report on Emissions Scenarios (SRES) (Nakicenovic et al., 2000). The SRES team defined four narrative storylines (A1, A2, B1 and B2) describing the relationships between the forces driving GHG and aerosol emissions and their evolution during the 21st century. The SRES reports emissions for each of these storylines by type of GHG and by fuel type to 2100 globally and for four world regions (OECD countries as of 1990, countries undergoing economic reform, developing countries in Asia, rest of world). Specific assumptions about the quantification of scenario drivers, such as population and economic growth, technological change, resource availability, land-use changes, and local and regional environmental policies, are also provided. End-use sector-level results for buildings, industry, or transportation or information regarding adoption of particular technologies and policies are not provided in the SRES. The goal of this report is to provide more detailed information on the SRES scenarios at the end use level including historical time series data and a decomposition of energy consumption to understand the forecast implications in terms of end use efficiency to 2030. This report focuses on the A1 (A1B) and B2 marker scenarios since they represent distinctly contrasting futures. The A1 storyline describes a future of very rapid economic growth, low population growth, and the rapid introduction of new and more efficient technologies. Major underlying themes are convergence among regions, capacity building, and increased cultural and social interactions, with a substantial reduction in regional differences in per capita income. The B2 storyline describes a world with an emphasis on economic, social, and environmental sustainability, especially at the local and regional levels. It is a world with moderate population growth, intermediate levels of economic development, and less rapid and more diverse technological change (Nakicenovic et al., 2000). Data were obtained from the SRES modeling teams that provide more detail than that reported in the SRES. For the A1 marker scenario, the modeling team provided final energy demand and carbon dioxide (CO{sub 2}) emissions by fuel for industry, buildings, and transportation for nine world regions. Final energy use and CO{sub 2} emissions for three sectors (industry, transport, buildings) for the four SRES world regions were provided for the B2 marker scenario. This report describes the results of a disaggregation of the SRES projected energy use and energy-related CO{sub 2} emissions for the industrial, transport, and buildings sectors for 10 world regions (see Appendix 1) to 2030. An example of further disaggregation of the two SRES scenarios for the residential buildings sector in China is provided, illustrating how such aggregate scenarios can be interpreted at the end use level.

Price, Lynn; de la Rue du Can, Stephane; Sinton, Jonathan; Worrell, Ernst; Zhou, Nan; Sathaye, Jayant; Levine, Mark

2006-07-24T23:59:59.000Z

472

Climate VISION: Private Sector Initiatives: Mining: GHG Information -  

Office of Scientific and Technical Information (OSTI)

Industry Analysis Briefs Industry Analysis Briefs The Energy Information Agency (EIA) is currently updating industry analysis briefs for the most energy-intensive industries in the United States, including aluminum, chemicals, forest products (such as paper and wood products), glass, metal casting, petroleum and coal products, and steel. As soon as the current briefs are available, we will provide the link. Industry Analysis Briefs will have the following content: Economic Profile and Trends Value of Shipments Annual Production Labor Productivity Energy Use Energy Use by Fuel Fuel Consumption by End Use Energy Consumption by Sector Energy Expenditures Onsite Generation (if applicable) Energy Intensity State-Level Information Technologies and Equipment Cogeneration Technologies (if applicable)

473

Climate VISION: Private Sector Initiatives: Iron and Steel: GHG Information  

Office of Scientific and Technical Information (OSTI)

GHG Information GHG Information Industry Analysis Briefs The Energy Information Agency (EIA) is currently updating industry analysis briefs for the most energy-intensive industries in the United States, including aluminum, chemicals, forest products (such as paper and wood products), glass, metal casting, petroleum and coal products, and steel. As soon as the current briefs are available, we will provide the link. Industry Analysis Briefs will have the following content: Economic Profile and Trends Value of Shipments Annual Production Labor Productivity Energy Use Energy Use by Fuel Fuel Consumption by End Use Energy Consumption by Sector Energy Expenditures Onsite Generation (if applicable) Energy Intensity State-Level Information Technologies and Equipment Cogeneration Technologies (if applicable)

474

 

Gasoline and Diesel Fuel Update (EIA)

8) 8) June 2010 State Energy Consumption Estimates 1960 Through 2008 2008 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2008 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural

475

The End-Use Technology Assessment Project: A Load-Shape Analysis of Ground Source Heat Pumps and Good Cents Homes  

Science Conference Proceedings (OSTI)

Interest is growing in end-use technology applications that promote overall energy efficiency through increased electricity use. This study will help utilities understand the impacts of such applications by providing load-shape information on ground source heat pumps as well as energy-efficient appliances promoted through Good Cents Homes programs. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Community/index...

1995-05-27T23:59:59.000Z

476

U.S. Propane Demand Sectors (1996)  

U.S. Energy Information Administration (EIA)

The residential and commercial sector and the chemical sector are the largest end users of propane in the U.S., accounting for 34% and 41% ...

477

Building Energy Retrofit Research: Multifamily Sector  

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

Building Energy Retrofit Research: Multifamily Sector Title Building Energy Retrofit Research: Multifamily Sector Publication Type Report Year of Publication 1985 Authors Diamond,...

478

Attribution of climate forcing to economic sectors  

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

Attribution of climate forcing to economic sectors Title Attribution of climate forcing to economic sectors Publication Type Journal Article Year of Publication 2010 Authors Unger,...

479

Energy Efficiency Report: Chapter 3: Residential Sector  

U.S. Energy Information Administration (EIA)

3. The Residential Sector Introduction. More than 90 million single-family, multifamily, and mobile home households encompass the residential sector.

480

Sector 1 Frequently Asked Questions  

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

Sector 1 - General Information Sector 1 - General Information Sector 1 Safety Plan (pdf) Useful X-Ray Related Numbers Si a0 = 5.4308 Angstrom CeO2 a0=5.411 Angstrom Cd-109 gamma = 88.036 keV X-ray energy/wavelength conversion constant = 12.39842 Angstrom/keV Useful 1-ID Operations Information Always set the undulator by closing from large to small gap. Always scan the Kohzu monochromator from high to low energy. A Cd-109 source that can be used to calibrate detectors can be obtained by contacting Ali. It has Ag flourescent lines and a 88.036 keV gamma line. Tim Mooney's telephone number is 2-5417. Frequently Asked Questions The following questions come up often when using the Sector 1 beamlines. If you have a question (and maybe answer) that would be of general interest to Sector 1 users, please give it to Jon or Greg for inclusion in this list.

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


481

The composition of a quad of buildings sector energy: Physical, economic, and environmental quantities  

SciTech Connect

In an analysis conducted for the US Department of Energy Office of Building Technologies (OBT), the Pacific Northwest Laboratory examined the fuel type composition of energy consumed in the US buildings sector. Numerical estimates were developed for the physical quantities of fuel consumed, as well as of the fossil fuel emissions (carbon dioxide, sulfur dioxide, nitrogen oxides) and nuclear spent fuel byproducts associated with that consumption. Electric generating requirements and the economic values associated with energy consumption also were quantified. These variables were quantified for a generic quad (1 quadrillion Btu) of primary energy for the years 1987 and 2010, to illustrate the impacts of a fuel-neutral reduction in buildings sector energy use, and for specific fuel types, to enable meaningful comparisons of benefits achievable through various OBT research projects or technology developments. Two examples are provided to illustrate how these conversion factors may be used to quantify the impacts of energy savings potentially achievable through OBT building energy conservation efforts. 18 refs., 6 figs., 16 tabs.

Secrest, T.J.; Nicholls, A.K.

1990-07-01T23:59:59.000Z

482

1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report  

DOE Green Energy (OSTI)

The results of the 1980 survey of electric utility-sponsored energy conservation, load management, and end-use solar energy conversion projects are described. The work is an expansion of a previous survey and evaluation and has been jointly sponsored by EPRI and DOE through the Oak Ridge National Laboratory. There are three volumes and a summary document. Each volume presents the results of an extensive survey to determine electric utility involvement in customer-side projects related to the particular technology (i.e., conservation, solar, or load management), selected descriptions of utility projects and results, and first-level technical and economic evaluations.

Not Available

1982-01-01T23:59:59.000Z

483

Energy data sourcebook for the US residential sector  

Science Conference Proceedings (OSTI)

Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment efficiency; historical and current appliance and equipment market shares; appliances and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl. gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

Wenzel, T.P.; Koomey, J.G.; Sanchez, M. [and others

1997-09-01T23:59:59.000Z

484

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

485

Table 2.1b Residential Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

6 Solar thermal direct use energy, and photovoltaic (PV) electricity net generation (converted to Btu ... Includes small amounts of distributed solar thermal and PV

486

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 rate—see Table A6).

487

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 rate—see Table A6).

488

Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption  

Buildings Energy Data Book (EERE)

0 2003 Commercial Primary Energy Consumption Intensities, by Principal Building Type Consumption Percent of Total | Consumption Percent of Total Building Type (thousand BtuSF)...

489

FLARING SOLAR HALE SECTOR BOUNDARIES  

SciTech Connect

The sector structure that organizes the magnetic field of the solar wind into large-scale domains has a clear pattern in the photospheric magnetic field as well. The rotation rate, 27-28.5 days, implies an effectively rigid rotation originating deeper in the solar interior than the sunspots. The photospheric magnetic field is known to be concentrated near that portion (the Hale boundary) in each solar hemisphere, where the change in magnetic sector polarity matches that between the leading and following sunspot polarities in active regions in the respective hemispheres. We report here that flares and microflares also concentrate at the Hale boundaries, implying that flux emergence and the creation of free magnetic energy in the corona also have a direct cause in the deep interior.

Svalgaard, L. [HEPL, Stanford University, Stanford, CA 94304 (United States); Hannah, I. G.; Hudson, H. S., E-mail: leif@leif.org [School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ (United Kingdom)

2011-05-20T23:59:59.000Z

490

Water Impacts of the Electricity Sector (Presentation)  

Science Conference Proceedings (OSTI)

This presentation discusses the water impacts of the electricity sector. Nationally, the electricity sector is a major end-user of water. Water issues affect power plants throughout the nation.

Macknick, J.

2012-06-01T23:59:59.000Z

491

Biomass Resources for the Federal Sector  

DOE Green Energy (OSTI)

Biomass Resources for the Federal Sector is a fact sheet that explains how biomass resources can be incorporated into the federal sector, and also how they can provide opportunities to meet federal renewable energy goals.

Not Available

2005-08-01T23:59:59.000Z

492

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

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Demand U.S. Energy Demand Mkt trends Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and appliances take effect (Figure 55). See more figure data Reference Case Tables

493

Danish Government - Sector Programmes | Open Energy Information  

Open Energy Info (EERE)

Government - Sector Programmes Government - Sector Programmes Jump to: navigation, search Name Danish Government - Sector Programmes Agency/Company /Organization Danish Government Partner Danish Ministry for Climate, Energy, and Building; The Danish Energy Agency Sector Energy Focus Area Renewable Energy, Wind Topics Implementation, Low emission development planning, -LEDS, Policies/deployment programs Program End 2012 Country South Africa, Vietnam Southern Africa, South-Eastern Asia References Denmark[1] Promoting wind energy in South Africa and energy efficiency in Vietnam (subject to parliamentary approval) References ↑ "Denmark" Retrieved from "http://en.openei.org/w/index.php?title=Danish_Government_-_Sector_Programmes&oldid=580876" Category: Programs

494

Smart Grids: Sectores y actividades clave | 1 Smart Grids: Sectores y actividades clave  

E-Print Network (OSTI)

Smart Grids: Sectores y actividades clave | 1 Smart Grids: Sectores y actividades clave INFORME para la Sostenibilidad Energética y Ambiental, FUNSEAM. #12;Smart Grids: Sectores y actividades clave eléctrica y los diferentes sectores que forman la smart grid. 6 Figura 2. Evolución y previsión de

Politècnica de Catalunya, Universitat

495

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

Gasoline and Diesel Fuel Update (EIA)

Commercial from Market Trends Commercial from Market Trends Industrial and commercial sectors lead U.S. growth in primary energy use figure data Total primary energy consumption, including fuels used for electricity generation, grows by 0.3 percent per year from 2011 to 2040, to 107.6 quadrillion Btu in 2040 in the AEO2013 Reference case (Figure 53). The largest growth, 5.1 quadrillion Btu from 2011 to 2040, is in the industrial sector, attributable to increased use of natural gas in some industries (bulk chemicals, for example) as a result of an extended period of relatively low prices coinciding with rising shipments in those industries. The industrial sector was more severely affected than the other end-use sectors by the 2007-2009 economic downturn; the increase in industrial energy consumption from 2008 through 2040 is 3.9 quadrillion Btu.

496

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

Gasoline and Diesel Fuel Update (EIA)

Commercial from Market Trends Commercial from Market Trends Industrial and commercial sectors lead U.S. growth in primary energy use figure data Total primary energy consumption, including fuels used for electricity generation, grows by 0.3 percent per year from 2011 to 2040, to 107.6 quadrillion Btu in 2040 in the AEO2013 Reference case (Figure 53). The largest growth, 5.1 quadrillion Btu from 2011 to 2040, is in the industrial sector, attributable to increased use of natural gas in some industries (bulk chemicals, for example) as a result of an extended period of relatively low prices coinciding with rising shipments in those industries. The industrial sector was more severely affected than the other end-use sectors by the 2007-2009 economic downturn; the increase in industrial energy consumption from 2008 through 2040 is 3.9 quadrillion Btu.

497

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

Gasoline and Diesel Fuel Update (EIA)

Residential from Market Trends Residential from Market Trends Industrial and commercial sectors lead U.S. growth in primary energy use figure data Total primary energy consumption, including fuels used for electricity generation, grows by 0.3 percent per year from 2011 to 2040, to 107.6 quadrillion Btu in 2040 in the AEO2013 Reference case (Figure 53). The largest growth, 5.1 quadrillion Btu from 2011 to 2040, is in the industrial sector, attributable to increased use of natural gas in some industries (bulk chemicals, for example) as a result of an extended period of relatively low prices coinciding with rising shipments in those industries. The industrial sector was more severely affected than the other end-use sectors by the 2007-2009 economic downturn; the increase in industrial energy consumption from 2008 through 2040 is 3.9 quadrillion Btu.

498

Prospects for the power sector in nine developing countries  

Science Conference Proceedings (OSTI)

Based on information drawn primarily from official planning documents issued by national governments and/or utilities, the authors examined the outlook for the power sector in the year 2000 in nine countries: China, India, Indonesia, Thailand, the Philippines, South Korea, Taiwan, Argentina and Mexico. They found that the implicit rates of average annual growth of installed electric power capacity between 1991 and 2001 range from a low of 3.3% per year in Argentina to a high of 13.2% per year in Indonesia. In absolute terms, China and India account for the vast majority of the growth. The plans call for a shift in the generating mix towards coal in six of the countries, and continued strong reliance on coal in China and India. The use of natural gas is expected to increase substantially in a number of the countries. The historic movement away from oil continues, although some countries are maintaining dual-fuel capabilities. Plans call for considerable growth of nuclear power in South Korea and China and modest increases in India and Taiwan. The feasibility of the official plans varies among the countries. Lack of public capital is leading towards greater reliance on private sector participation in power projects in many of the countries. Environmental issues are becoming a more significant constraint than in the past, particularly in the case of large-scale hydropower projects. The financial and environmental constraints are leading to a rising interest in methods of improving the efficiency of electricity supply and end use. The scale of such activities is growing in most of the study countries.

Meyers, S.; Goldman, N.; Martin, N.; Friedmann, R.

1993-04-01T23:59:59.000Z

499

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

Gasoline and Diesel Fuel Update (EIA)

natural gas price for electric power, 2035 (2010 dollars per million Btu) 7.2 7.00 8.03 CO2 emissions from electric power generation, 2035 (million metric tons) 2,330 2,301 2,404...

500

Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy"  

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

Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy" Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy" Performance Goals in Commercial Buildings Title Scale Matters: An Action Plan for Realizing Sector-Wide "Zero-Energy" Performance Goals in Commercial Buildings Publication Type Conference Proceedings Year of Publication 2008 Authors Selkowitz, Stephen E., Jessica Granderson, Philip Haves, Paul A. Mathew, and Jeffrey P. Harris Conference Name 2008 ACEEE Summer Study on Energy Efficiency in Buildings Conference Location Asilomar, California, USA Abstract It is widely accepted that if the United States is to reduce greenhouse gas emissions it must aggressively address energy end use in the building sector. While there have been some notable but modest successes with mandatory and voluntary programs, there have also been puzzling failures to achieve expected savings. Collectively, these programs have not yet reached the majority of the building stock, nor have they yet routinely produced very large savings in individual buildings.