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


1

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

2

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

3

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.

4

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 ...

5

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.

7
8

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

9

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

10

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

11

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

12

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

13

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

14

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...

15

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...

16

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...

17

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

18

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

19

APS sector layout: Utilities, etc  

SciTech Connect

This bulletin describes the general physical layout of the APS Experiment Hall and the utilities that will be available for the beamlines.

Davey, S.

1993-02-01T23:59:59.000Z

20

APS sector layout: Utilities, etc.  

SciTech Connect

This bulletin describes the general physical layout of the APS Experiment Hall and the utilities that will be available for the beamlines.

Davey, S.

1993-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "utility sector end-use" 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  

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

22

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

23

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

24

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

25

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

26

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

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

Utility Sector Leaders Make Firm Commitment to Energy Efficiency |  

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

Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency: Press Release, July 31, 2006 announcing an energy efficiency action plan. More than 80 energy, environmental and other organizations announced commitments and public statements in support of the National Action Plan for Energy Efficiency (NAPEE), which provides energy consumers and providers information on policies and techniques to save money as well as protect the environment. Utility Sector Leaders Make Firm Commitment to Energy Efficiency More Documents & Publications Chapter 3: Demand-Side Resources US - Brazil Binational Energy Working Group Joint Action Plan

29

Utility Sector Leaders Make Firm Commitment to Energy Efficiency |  

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

Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency Utility Sector Leaders Make Firm Commitment to Energy Efficiency July 31, 2006 - 9:30am Addthis (San Francisco, Calif. - July 31, 2006) More than 80 energy, environmental and other organizations announced commitments and public statements in support of the National Action Plan for Energy Efficiency (NAPEE), released today, which provides energy consumers and providers information on policies and techniques to save money as well as protect the environment. By adopting the plan's recommendations on low-cost, under-used energy efficiency, Americans could save hundreds of billions of dollars on their gas and electric utility bills, cut greenhouse gas emissions, and lower the costs for energy and pollution controls.

30

DOE Encourages Utility Sector Nominations to the Federal Communications  

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

the Federal the Federal Communications Commission's Communications, Security, Reliability, and Interoperability Council DOE Encourages Utility Sector Nominations to the Federal Communications Commission's Communications, Security, Reliability, and Interoperability Council March 29, 2011 - 5:22pm Addthis Because of the role communications technologies will play in the evolution toward a smarter national grid, DOE recommended in its October 2010 report, The Communications Requirements of Smart Grid Technologies, that members of the utility sector become more engaged in the federal advisory committees that consider key policy issues related to the Smart Grid, including the reliability of communications networks. Last week, the Federal Communications Commission announced that it is seeking nominations

31

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

32

Climate change adaptation in the U.S. electric utility sector  

E-Print Network (OSTI)

The electric utility sector has been a focus of policy efforts to reduce greenhouse gas emissions, but even if these efforts are successful, the sector will need to adapt to the impacts of climate change. These are likely ...

Higbee, Melissa (Melissa Aura)

2013-01-01T23:59:59.000Z

33

Profiles in Renewable Energy- Case Studies of Successful Utility-Sector  

Open Energy Info (EERE)

Profiles in Renewable Energy- Case Studies of Successful Utility-Sector Profiles in Renewable Energy- Case Studies of Successful Utility-Sector Projects Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Profiles in Renewable Energy- Case Studies of Successful Utility-Sector Projects Author U.S. Department of Energy Published Publisher Not Provided, Date Not Provided DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Profiles in Renewable Energy- Case Studies of Successful Utility-Sector Projects Citation U.S. Department of Energy. Profiles in Renewable Energy- Case Studies of Successful Utility-Sector Projects [Internet]. [updated 2000;cited 2000]. Available from: http://www.osti.gov/accomplishments/NRELprofiles.html#oesi Retrieved from "http://en.openei.org/w/index.php?title=Profiles_in_Renewable_Energy-_Case_Studies_of_Successful_Utility-Sector_Projects&oldid=682490"

34

A flexible and dynamic algorithm for assessment and optimization of utility sectors  

Science Conference Proceedings (OSTI)

This paper presents a flexible and dynamic algorithm for total assessment, ranking, and optimization of utility sectors. Data envelopment analysis (DEA), corrected ordinary least square (COLS), and stochastic frontier analysis (SFA) are employed for ... Keywords: Assessment, Corrected ordinary least squares, Data envelopment analysis, Optimization, Stochastic frontier analysis, Utility sector

A. Azadeh; H. Eivazy; M. Moghaddam

2010-11-01T23:59:59.000Z

35

Key Climate Variables Relevant to the Energy Sector and Electric Utilities  

Science Conference Proceedings (OSTI)

Changes in climate affect the energy sector and electric utilities through changes in demand, altered production and transmission capabilities, and effects on the operation of utility infrastructure. Unfortunately, few studies have been conducted on the impacts of climate change on the energy sector. This report outlines some key climate variables that may affect the energy sector, including long-term trends such as increases in air temperature, water temperatures, and sea-level rise; changes in precipit...

2009-03-31T23:59:59.000Z

36

Transportation fuels and engines for optimum energy utilization: An assessment of energy consumption from resources through end use: Final report, Volume 1, August 1985 for the project, Technical assessment of future engines and alternative fuels  

DOE Green Energy (OSTI)

This study was initiated to investigate the potential for improving the resource utilization efficiency in the manufacture and end-use of fuels for transportation. While emphasis is placed on the development of fuels from coal and oil shale and on the engine technologies most suitable for those fuels, petroleum-derived fuels are considered as well. A necessary part of this study was to develop information about the energy efficiency of various steps of fuel processing, both with synthetic fuels and petroleum. The configurations of synthetic fuel processes and petroleum refineries are, of course, seemingly endless in number, so, in order to keep the study at a manageable and affordable scope, only a very limited number of synthetic fuel processes were investigated in detail and only major upgrading process operations were included.

Thomas, R.L.; Cornell, J.J.

1985-08-01T23:59:59.000Z

37

Department of Energy to Host Spectrum Policy Seminar for the Utility Sector  

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

to Host Spectrum Policy Seminar for the to Host Spectrum Policy Seminar for the Utility Sector on December 8, 2010 Department of Energy to Host Spectrum Policy Seminar for the Utility Sector on December 8, 2010 November 17, 2010 - 7:09pm Addthis On October 5, 2010, after an extensive public notice and comment process, the Department of Energy (DOE) issued a report entitled, "Communications Requirements of Smart Grid Technologies". The complete text of the report, and of a second report addressing data access and privacy issues arising from the deployment of smart grid technologies, can be found here. One recommendation in the report was to provide more information to the utility sector on spectrum policy issues in light of the role wireless communications will surely play in the deployment of smart grid

38

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)

39

Electricity Use in the Pacific Northwest: Utility Historical Sales by Sector, 1990 and Preceding Years.  

SciTech Connect

This report officially releases the compilation of regional 1990 retail customer sector sales data by the Bonneville Power Administration. The report is intended to enable detailed examination of annual regional electricity consumption. It also provides observations based on statistics covering the 1983--1990 time period, and gives statistics covering the time period 1970--1990. The electricity use report is the only information source that provides data obtained from each utility in the region based on the amount of electricity they sell annually to four sectors. Data is provided on each retail customer sector and also on the customers Bonneville serves directly: residential, commercial, industrial, direct-service industrial, and irrigation. 21 figs., 40 tabs.

United States. Bonneville Power Administration.

1991-06-01T23:59:59.000Z

40

Market study for direct utilization of geothermal resources by selected sectors of economy  

DOE Green Energy (OSTI)

A comprehensive analysis is presented of industrial markets potential for direct use of geothermal energy by a total of six industry sectors: food and kindred products; tobacco manufactures; textile mill products; lumber and wood products (except furniture); chemicals and allied products; and leather and leather products. A brief statement is presented regarding sectors of the economy and major manufacturing processes which can readily utilize direct geothermal energy. Previous studies on plant location determinants are summarized and appropriate empirical data provided on plant locations. Location determinants and potential for direct use of geothermal resources are presented. The data was gathered through interviews with 30 senior executives in the six sectors of economy selected for study. Probable locations of plants in geothermal resource areas and recommendations for geothermal resource marketing are presented. Appendix A presents factors which impact on industry location decisions. Appendix B presents industry executives interviewed during the course of this study. (MHR)

Not Available

1980-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "utility sector end-use" 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

Profiles in Renewable Energy: Case Studies of Successful Utility-Sector  

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

Profiles in Renewable Energy: Case Studies of Successful Utility-Sector Profiles in Renewable Energy: Case Studies of Successful Utility-Sector Projects The Shape of Renewable Energy Technologies Today Biomass Wood-Burning Plant Reduces Air Pollution Kettle Falls Wood-Fired Plant Washington Power Company Regulatory Changes Spur Wood-Fired Plant Grayling Generating Station Decker Energy International, Inc. Community Partnership Leads to Waste-Burning Plant Bristol Waste-to-Energy Plant Ogden Martin Systems Geothermal Geothermal Loan Encourages New Power Industry Ormesa Geothermal Complex OESI Power Corporation (Orman Group) Project Consolidation Rescues Geothermal Development Dixie Valley Project Oxbow Geothermal (Oxbow Corporation) Hydropower Run-of-River Plant Minimizes Environmental Impacts Sidney A. Murray Hydroelectric Station Catalyst Energy Corporation

42

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.

43

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

44

Electricity Use in the Pacific Northwest: Utility Historical Sales by Sector, 1989 and Preceding Years.  

SciTech Connect

This report officially releases the compilation of regional 1989 retail customer sector sales data by the Bonneville Power Administration. This report is intended to enable detailed examination of annual regional electricity consumption. It gives statistics covering the time period 1970--1989, and also provides observations based on statistics covering the 1983--1989 time period. The electricity use report is the only information source that provides data obtained from each utility in the region based on the amount of electricity they sell to consumers annually. Data is provided on each retail customer sector: residential, commercial, industrial, direct-service industrial, and irrigation. The data specifically supports forecasting activities, rate development, conservation and market assessments, and conservation and market program development and delivery. All of these activities require a detailed look at electricity use. 25 figs., 34 tabs.

United States. Bonneville Power Administration.

1990-06-01T23:59:59.000Z

45

Reduction in tribological energy losses in the transportation and electric utilities sectors  

Science Conference Proceedings (OSTI)

This report is part of a study of ways and means of advancing the national energy conservation effort, particularly with regard to oil, via progress in the technology of tribology. The report is confined to two economic sectors: transportation, where the scope embraces primarily the highway fleets, and electric utilities. Together these two sectors account for half of the US energy consumption. Goal of the study is to ascertain the energy sinks attributable to tribological components and processes and to recommend long-range research and development (R and D) programs aimed at reducing these losses. In addition to the obvious tribological machine components such as bearings, piston rings, transmissions and so on, the study also extends to processes which are linked to tribology indirectly such as wear of machine parts, coatings of blades, high temperature materials leading to higher cycle efficiencies, attenuation of vibration, and other cycle improvements.

Pinkus, O.; Wilcock, D.F.; Levinson, T.M.

1985-09-01T23:59:59.000Z

46

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

47

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

48

Survey review of models for use in market penetration analysis: utility sector focus  

SciTech Connect

The ultimate benefits of federal expenditures in research and development for new technologies are dependent upon the degree of acceptance of these technologies. Market penetration considerations are central to the problem of quantifying the potential benefits. These benefits are inputs to the selection process of projects competing for finite R and D funds. Market penetration is the gradual acceptance of a new commodity or technology. The Office of Coal utilization is concerned with the specialized area of market penetration of new electric power generation technologies for both replacement and new capacity. The common measure of market penetration is the fraction of the market serviced by the challenging technology for each time point considered. The methodologies for estimating market penetration are divided into three generic classes: integrated energy/economy modeling systems, utility capacity expansion models, and technology substitution models. In general, the integrated energy/economy modeling systems have three advantages: they provide internally consistent macro, energy-economy scenarios, they account for the effect of prices on demand by fuel form, and they explicitly capture the effects of population growth and the level and structure of economic activity on energy demand. A variety of deficiencies appear in most energy-economy systems models. All of the methodologies may be applied at some level to questions of market penetration of new technologies in the utility sector; choice of methods for a particular analysis must be conditioned by the scope of the analysis, data availability, and the relative cost of alternative analysis.

Groncki, P.J.; Kydes, A.S.; Lamontagne, J.; Marcuse, W.; Vinjamuri, G.

1980-11-01T23:59:59.000Z

49

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,

50

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

51

" 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"

52

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

53

" 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"

54

" 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

55

" 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)"

56

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

57

,"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...

58

,"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...

59

,"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...

60

,"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...

Note: This page contains sample records for the topic "utility sector end-use" 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

,"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...

62

,"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...

63

,"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...

64

,"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...

65

,"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...

66

,"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...

67

,"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...

68

,"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...

69

,"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...

70

,"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...

71

,"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...

72

,"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...

73

,"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...

74

,"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...

75

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

76

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

77

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

78

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

79

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.

80

,"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...

Note: This page contains sample records for the topic "utility sector end-use" 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

,"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...

82

,"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...

83

,"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...

84

,"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...

85

,"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...

86

,"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...

87

,"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...

88

,"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...

89

,"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...

90

,"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...

91

,"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...

92

,"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...

93

,"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...

94

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

95

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

96

Profiles in renewable energy: Case studies of successful utility-sector projects  

DOE Green Energy (OSTI)

As considerations of fuel diversity, environmental concerns, and market uncertainties are increasingly factored into electric utility resource planning, renewable energy technologies are beginning to find their place in the utility resource portfolio. This document profiles 10 renewable energy projects, utilizing six different renewable resources, that were built in the US throughout the 1980s. The resources include: biomass, geothermal, hydropower, photovoltaics, solar thermal, and wind. For each project, the factors that were key to its success and the development issues that it faced are discussed, as are the project`s cost, performance, and environmental impacts and benefits.

Anson, S.; Sinclair, K.; Swezey, B.

1993-10-01T23:59:59.000Z

97

Comparative Attitudes Toward Utility Type Services: Tracking Perceptions in the Residential Sector  

Science Conference Proceedings (OSTI)

This report is the first in a series of three EPRIsolutions research reports tracking customer perceptions toward five utility providers (electric, natural gas, cable TV, long distance telephone and local telephone), and comparing the performance trends ratings among these different utility companies over time. This particular market assessment focuses on the attitudes of the Residential segment. The next two reports will assess customer attitudes for the large business and mass market segments. The Unde...

2000-10-31T23:59:59.000Z

98

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

99

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,

100

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

Note: This page contains sample records for the topic "utility sector end-use" 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

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.

102

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

103

Summary of Initial Examination of Lighting-Only Utility Projects in the Federal Sector  

SciTech Connect

This work complements earlier work on an analysis of Federal utility energy projects that implemented excusively lighting upgrades. The objective of this analysis is to better understand the lighting-only projects through determination of the relationship of capital invested and the resulting energy and cost savings, in terms of geographic locale, project size, and potential according to specific lighting technologies and/or control technology implemented.

Solana, Amy E.; Sandusky, William F.; McMordie-Stoughton, Katherine L.

2007-07-26T23:59:59.000Z

104

Analysis of Energy Savings in the Federal Sector through Utilities Service Programs  

Science Conference Proceedings (OSTI)

As a result of the lack of sufficient appropriations for energy-related projects at federal sites, the Department of Energy (DOE) Office of Federal Energy Management Programs (FEMP) has encouraged the use of alternative financing as a method to fund energy efficiency, water conservation, and renewable energy capital retrofit projects. One of the potential avenues for agencies to obtain alternative financing is through their servicing utility. Since the passage of the Energy Policy Act of 1992 (EPACT), more than 1,200 projects have been facilitated in this manner. The amount of the capital investment per project has varied markedly, depending on the need of the federal agency, number of facilities at a specific site, and nature of the retrofit technology. To help promote the use of this financing mechanism, FEMP created the Federal Utility Partnership Working Group to foster enhanced relationships between utilities and both federal agencies and their sites so projects could be identified, designed, financed, and constructed. Formation of this Working Group also allowed FEMP the opportunity to collect, on a voluntary basis, specific information regarding individual projects in order to document results, which could assist in determining the contribution to mandated energy saving goals. Accurate and complete data existed for 528 of these projects to allow an analysis of total energy savings as a function of capital cost. Projects that consisted of the category labeled controls/upgrades/ repairs yielded the largest energy savings per capital dollar of investment (~14,500 Btu per dollar). Other projects with high energy savings per capital dollar of investment included comprehensive upgrades, central plant upgrades, boiler/chiller replacement, and lighting and mechanical system upgrades. This article summarizes the findings from the analysis, provides some insight into the types of projects that yield the best savings per dollar of investment, and possible explanation for the results.

McMordie-Stoughton, Katherine L.; Solana, Amy E.; Bates, Derrick J.; Sandusky, William F.

2005-01-01T23:59:59.000Z

105

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

106

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,...

107

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.)...

108

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

109

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

110

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

111

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,...

112

Examination of the factors and issues for an environmental technology utilization partnership between the private sector and the Department of Energy. Final report  

SciTech Connect

The Department of Energy (DOE) held a meeting on November 12, 1992 to evaluate the DOE relations with industry and university partners concerning environmental technology utilization. The goal of this meeting was to receive feedback from DOE industry and university partners for the identification of opportunities to improve the DOE cooperative work processes with the private sector. The meeting was designed to collect information and to turn that information into action to improve private sector partnerships with DOE.

Brouse, P.

1997-05-01T23:59:59.000Z

113

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.

114

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

115

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

116

" 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"

117

" 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"

118

" 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)"

119

" 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)"

120

" 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 "utility sector end-use" 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

" 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"

122

" 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"

123

" 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"

124

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

125

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

126

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

127

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

128

Large-scale Utilization of Biomass Energy and Carbon Dioxide Capture and Storage in the Transport and Electricity Sectors under Stri ngent CO2 Concentration Limit Scenarios  

Science Conference Proceedings (OSTI)

Status: Published Citation: Luckow, P; Wise, M; Dooley, J; and Kim S. 2010. Large-scale Utilization of Biomass Energy and Carbon Dioxide Capture and Storage in the Transport and Electricity Sectors under Stringent CO2 Concentration Limit Scenarios. In International Journal of Greenhouse Gas Control, Volume 4, Issue 5, 2010, pp. 865-877. Large-scale, dedicated commercial biomass energy systems are a potentially large contributor to meeting stringent global climate policy targets by the end of the century....

2010-12-31T23:59:59.000Z

129

Barriers to the increased utilization of coal combustion/desulfurization by-products by government & commercial sectors - update 1998,7/99,3268845  

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

BARRIERS TO THE INCREASED UTILIZATION BARRIERS TO THE INCREASED UTILIZATION OF COAL COMBUSTION/DESULFURIZATION BY-PRODUCTS BY GOVERNMENT AND COMMERCIAL SECTORS - UPDATE 1998 EERC Topical Report DE-FC21-93MC-30097--79 Submitted by: Debra F. Pflughoeft-Hassett Everett A. Sondreal Edward N. Steadman Kurt E. Eylands Bruce A. Dockter Energy & Environmental Research Center PO Box 9018 Grand Forks, ND 58202-9018 99-EERC-07-08 July 1999 i TABLE OF CONTENTS LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v ACKNOWLEDGMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi LIST OF ACRONYMS AND ABBREVIATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii TERMINOLOGY AND DEFINITIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . .

130

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.

131

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

132

" 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"

133

" 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"

134

" 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"

135

" 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"

136

" 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"

137

" 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)"

138

" 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)"

139

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 ...

140

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

Note: This page contains sample records for the topic "utility sector end-use" 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

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...

142

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 ...

143

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...

144

,"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...

145

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

146

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

147

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...

148

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

149

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

150

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

151

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

152

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

153

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

154

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

155

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

156

Barriers to the increased utilization of coal combustion/desulfurization by-products by government and commercial sectors - Update 1998  

SciTech Connect

The following conclusions are drawn from the information presented in this report: (1) Joint efforts by industry and government focused on meeting RTC recommendations for reduction/removal of barriers have met with some success. The most notable of these are the changes in regulations related to CCB utilization by individual states. Regionally or nationally consistent state regulation of CCB utilization would further reduce regulatory barriers. (2) Technology changes will continue to be driven by the CAAA, and emission control technologies are expected to continue to impact the type and properties of CCBs generated. As a result, continued RD and D will be needed to learn how to utilize new and changing CCBs in environmentally safe, technically sound, and economically advantageous ways. Clean coal technology CCBs offer a new challenge because of the high volumes expected to be generated and the different characteristics of these CCBs compared to those of conventional CCBs. (3) Industry and government have developed the RD and D infrastructure to address the technical aspects of developing and testing new CCB utilization applications, but this work as well as constant quality control/quality assurance testing needs to be continued to address both industry wide issues and issues related to specific materials, regions, or users. (4) Concerns raised by environmental groups and the public will continue to provide environmental and technical challenges to the CCB industry. It is anticipated that the use of CCBs in mining applications, agriculture, structural fills, and other land applications will continue to be controversial and will require case-by-case technical and environmental information to be developed. The best use of this information will be in the development of generic regulations specifically addressing the use of CCBs in these different types of CCB applications. (5) The development of federal procurement guidelines under Executive Order 12873 titled ''Federal Acquisition, Recycling and Waste Prevention,'' in October 1993 was a positive step toward getting CCBs accepted in the marketplace. Industry needs to continue to work with EPA to develop additional procurement guidelines for products containing CCBs--and to take advantage of existing guidelines to encourage the use of CCBs in high-profile projects. (6) Accelerated progress toward increased utilization of CCBs can be made only if there is an increased financial commitment and technical effort by industry and government. The framework for this has been set by the successful cooperation of industry and government under DOE leadership. Cooperation should continue, with DOE fulfilling its lead role established in the RTC. It is clear that the RTC recommendations continue to have validity with respect to increasing CCB utilization and continue to provide guidance to industry and government agencies.

Pflughoeft-Hassett, D.F.; Sondreal, E.A.; Steadman, E.N.; Eylands, K.E.; Dockter, B.A.

1999-07-01T23:59:59.000Z

157

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

158

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

159

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

160

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...

Note: This page contains sample records for the topic "utility sector end-use" 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

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...

162

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...

163

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...

164

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...

165

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...

166

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...

167

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....

168

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....

169

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...

170

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...

171

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....

172

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...

173

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...

174

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...

175

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 ...

176

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....

177

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...

178

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...

179

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...

180

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....

Note: This page contains sample records for the topic "utility sector end-use" 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 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...

182

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

183

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

184

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,...

185

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...

186

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...

187

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...

188

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...

189

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...

190

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...

191

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...

192

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...

193

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...

194

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,...

195

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,...

196

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...

197

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...

198

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...

199

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...

200

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...

Note: This page contains sample records for the topic "utility sector end-use" 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

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

202

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

203

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

204

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

205

,"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...

206

,"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...

207

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

208

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

209

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

210

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

211

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

212

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

213

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

214

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

215

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

216

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

217

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

218

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....

219

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

220

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.

Note: This page contains sample records for the topic "utility sector end-use" 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

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

222

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

223

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

224

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

225

End-Use Load Research in a Smart Grid World  

Science Conference Proceedings (OSTI)

In October 2010, EPRI conducted a workshop with EPRI members to identify how broad application of "Smart Grid" or advanced metering infrastructure (AMI) technologies could both increase need for and reduce cost of acquiring high-quality load research data. Representatives from regulated utilities, independent system operators/regional transmission organizations (ISO/RTOs), and industry experts participated. Utility representatives said that they are using "antique" load shape data for forecasting, planni...

2010-12-23T23:59:59.000Z

226

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

227

Large-Scale Utilization of Biomass Energy and Carbon Dioxide Capture and Storage in the Transport and Electricity Sectors under Stringent CO2 Concentration Limit Scenarios  

Science Conference Proceedings (OSTI)

This paper examines the potential role of large scale, dedicated commercial biomass energy systems under global climate policies designed to meet atmospheric concentrations of CO2 at 400ppm and 450ppm by the end of the century. We use an integrated assessment model of energy and agriculture systems to show that, given a climate policy in which terrestrial carbon is appropriately valued equally with carbon emitted from the energy system, biomass energy has the potential to be a major component of achieving these low concentration targets. A key aspect of the research presented here is that the costs of processing and transporting biomass energy at much larger scales than current experience are explicitly incorporated into the modeling. From the scenario results, 120-160 EJ/year of biomass energy is produced globally by midcentury and 200-250 EJ/year by the end of this century. In the first half of the century, much of this biomass is from agricultural and forest residues, but after 2050 dedicated cellulosic biomass crops become the majority source, along with growing utilization of waste-to-energy. The ability to draw on a diverse set of biomass based feedstocks helps to reduce the pressure for drastic large-scale changes in land use and the attendant environmental, ecological, and economic consequences those changes would unleash. In terms of the conversion of bioenergy feedstocks into value added energy, this paper demonstrates that biomass is and will continue to be used to generate electricity as well as liquid transportation fuels. A particular focus of this paper is to show how climate policies and technology assumptions - especially the availability of carbon dioxide capture and storage (CCS) technologies - affect the decisions made about where the biomass is used in the energy system. The potential for net-negative electric sector emissions through the use of CCS with biomass feedstocks provides an attractive part of the solution for meeting stringent emissions constraints; we find that at carbon prices above 150$/tCO2, over 90% of biomass in the energy system is used in combination with CCS. Despite the higher technology costs of CCS, it is a very important tool in controlling the cost of meeting a target, offsetting the venting of CO2 from sectors of the energy system that may be more expensive to mitigate, such as oil use in transportation. CCS is also used heavily with other fuels such as coal and natural gas, and by 2095 a total of 1530 GtCO2 has been stored in deep geologic reservoirs. The paper also discusses the role of cellulosic ethanol and Fischer-Tropsch biomass derived transportation fuels as two representative conversion processes and shows that both technologies may be important contributors to liquid fuels production, with unique costs and emissions characteristics.

Luckow, Patrick; Wise, Marshall A.; Dooley, James J.; Kim, Son H.

2010-08-05T23:59:59.000Z

228

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

229

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

230

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 ResponseReady (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

231

Computerized data collection for end-use experiments  

SciTech Connect

The author presents a general overview of the use of microprocessors and computers in the collection of data for energy-usage test programs for electric utility research in demand-side management. Southern California Edison has several experiments designed to measure the energy usage of various equipment and appliances in customers' homes and businesses. These projects consist primarily of two types. Some are designed to provide statistically meaningful information on the use of real, commercially available equipment by real customers. Others are designed to study equipment in various phases of development in order to analyze its potential application to energy management. From a data collection standpoint, these projects are very similar. Energy-usage data are collected over relatively short periods (five or fifteen minutes) and stored in a local microprocessor. Other pertinent information such as temperature, humidity, or flow rates may also be collected. The stored data are then routinely transmitted to a central computers.

Shirilau, M.S.

1988-01-01T23:59:59.000Z

232

Refining and end use study of coal liquids  

DOE Green Energy (OSTI)

A conceptual design and ASPEN Plus process flowsheet simulation model was developed for a Battelle biomass-based gasification, Fischer-Tropsch (F-T) liquefaction and combined-cycle power plant. This model was developed in a similar manner to those coal liquefaction models that were developed under DOE contract DE-AC22-91PC90027. As such, this process flowsheet simulation model was designed to be a research guidance tool and not a detailed process design tool. However, it does contain some process design features, such as sizing the F-T synthesis reactors. This model was designed only to predict the effects of various process and operating changes on the overall plant heat and material balances, utilities, capital and operating costs.

Choi, G.

1998-05-01T23:59:59.000Z

233

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 source’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.

234

" 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)"

235

" 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"

236

" 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)"

237

" 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"

238

Biogas end-use in the European community  

Science Conference Proceedings (OSTI)

In Europe over the past few years the generation of biogas for energy and environmental purposes has been gaining in importance. Industrial wastewaters, cattle manure, sewage sludges, urban wastes, crop residues, algae and aquatic biomass are all typical of the materials being utilized. In contrast to the extensive inventory of biomethanation processes which has been carried out within the EEC, until recently a detailed, up-to-date investigation of the end-sues of biogas had not been undertaken. To supply the necessary information, the Commission of the European Communities and the Belgian Science Policy Office jointly entrusted a study to the Unit of Bioengineering at the Catholic University of Louvain, Belgium. This book is record of the study and has the following key features: it gives a broad overview of the ongoing use of biogas in Europe; it summarizes available data on storage, purification and engines using biogas; it draws several conclusions concerning the technical and economic viability of the processes; it discusses the problems of using biogas; and it outlines recommendations and future R and D and demonstration projects in the field.

Constant, M.; Naveau, H.; Nyns, E.J. (Unite de Genie Biologique, Universite Catholique de Louvain (BE)); Ferrero, G.L.

1989-01-01T23:59:59.000Z

239

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

240

Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data |  

Open Energy Info (EERE)

26 Database Monthly Electric Utility Sales and Revenue Data 26 Database Monthly Electric Utility Sales and Revenue Data Dataset Summary Description EIA previously collected sales and revenue data in a category called "Other." This category was defined as including activities such as public street highway lighting, other sales to public authorities, sales to railroads and railways, and interdepartmental sales. EIA has revised its survey to separate the transportation sales and reassign the other activities to the commercial and industrial sectors as appropriate. This is an electric utility data file that includes utility level retail sales of electricity and associated revenue by end-use sector, State, and reporting month. The data source is the survey: Form EIA-826, "Monthly Electric Utility Sales and Revenue Report

Note: This page contains sample records for the topic "utility sector end-use" 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 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

242

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?

243

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)

244

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

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

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

253

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

254

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

255

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

256

" 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"

257

" 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)"

258

" 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"

259

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

260

" 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)"

Note: This page contains sample records for the topic "utility sector end-use" 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

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)

262

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

263

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

264

Avista Utilities (Electric) - Commercial Lighting Energy Efficiency...  

Open Energy Info (EERE)

Applicable Sector Commercial Eligible Technologies Lighting, Lighting ControlsSensors, LED Lighting Active Incentive Yes Implementing Sector Utility Energy Category Energy...

265

Clark Public Utilities - Residential Weatherization Loan Program...  

Open Energy Info (EERE)

Sector Residential Eligible Technologies Building Insulation, DuctAir sealing, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

266

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)

267

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

268

,"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"

269

,"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"

270

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:

271

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)

272

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

273

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

274

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

275

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

276

,"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"...

277

"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...

278

"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...

279

"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...

280

"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...

Note: This page contains sample records for the topic "utility sector end-use" 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

,"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"...

282

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

283

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

284

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

285

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

286

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

287

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

288

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

289

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

290

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

291

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

292

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

293

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

294

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.

295

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, ...

296

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

297

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

298

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

299

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

State Solid Waste Management Board Energy Analysis ofto Solid Waste Utilization as an Energy Source. Gordianto Solid Waste Utilization as an Energy Source. Washington,

Authors, Various

2011-01-01T23:59:59.000Z

300

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 Techs 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

Note: This page contains sample records for the topic "utility sector end-use" 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

Financing End-Use Solar Technologies in a Restructured Electricity Industry  

E-Print Network (OSTI)

Efficiency and Renewable Energy, Office of Utility Technologies, Office of Energy Management Division

302

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.

303

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.

304

"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"

305

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

306

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

307

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

308

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...

309

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

310

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

311

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

312

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

313

Coordinated Early Deployments of Efficient End-Use Technologies: Phase 1 Final Report  

Science Conference Proceedings (OSTI)

Many electric utilities in the U.S. are facing ever-increasing energy efficiency goals. While compact fluorescent lamps (CFLs) have produced a large share of many utility programs' energy savings, these technologies may no longer be allowed to count toward utility program goals because of the new standards for lighting efficiency set by the Energy Independence and Security Act of 2007. The change in CFL treatment is just one example of why utilities need a steady stream of new technologies for their ener...

2011-12-28T23:59:59.000Z

314

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

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook ... Company Monthly Statement." - 1984-1996-EIA, Form EIA-861, "Annual Electric Utility Report." - 1997

315

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

316

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

317

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

318

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.

319

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

320

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

Note: This page contains sample records for the topic "utility sector end-use" 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

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

322

Economic Objectives of Utility Companies and Developers in ...  

Science Conference Proceedings (OSTI)

... achieve market acceptance and implementation in the private sector given the ... Electric utilities are "natural monopolies" ... 1. Lowell Gas Company ...

2008-03-05T23:59:59.000Z

323

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

324

Orlando Utilities Commission - Commercial Energy Efficiency Rebate...  

Open Energy Info (EERE)

conditioners, Clothes Washers, DuctAir sealing, Heat pumps, Roofs, Water Heaters, Cool Roofs, Solar Screens, Window Film Active Incentive Yes Implementing Sector Utility Energy...

325

City Utilities of Springfield - Commercial Energy Efficiency...  

Open Energy Info (EERE)

Eligible Technologies Lighting, Lighting ControlsSensors, Programmable Thermostats, LED Exit Signs Active Incentive Yes Implementing Sector Utility Energy Category Energy...

326

Central Lincoln People's Utility District - Residential Energy...  

Open Energy Info (EERE)

MeasuresWhole Building, Heat pumps, Lighting, Refrigerators, Water Heaters, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

327

Avista Utilities - Residential Energy Efficiency Rebate Programs...  

Open Energy Info (EERE)

Building, Dishwasher, Furnaces, Heat pumps, Motor VFDs, Refrigerators, Water Heaters, Windows Active Incentive No Incentive Inactive Date 05262010 Implementing Sector Utility...

328

Ashland Electric Utility - Residential Energy Efficiency Loan...  

Open Energy Info (EERE)

Building Insulation, CaulkingWeather-stripping, DuctAir sealing, Heat pumps, Windows, Solar Water Heat Active Incentive Yes Implementing Sector Utility Energy Category...

329

Brownsville Public Utilities Board - Green Living Residential...  

Open Energy Info (EERE)

Insulation, Central Air conditioners, DuctAir sealing, Heat pumps, Water Heaters, Windows Active Incentive Yes Implementing Sector Utility Energy Category Energy Efficiency...

330

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

331

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

332

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.

333

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

334

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

335

Market Requirements and Opportunities for Distributred Energy Storage Systems in the Commercial Sector  

Science Conference Proceedings (OSTI)

Energy storage systems sited at customer locations could enable and complement utility end-use efficiency programs. As a dispatchable resource, energy storage systems can provide utility distribution planners and grid operators with more certainty in terms of peak reduction, demand response, and load shifting. This research was conducted to identify and scope ideal energy storage systems configurations and cost requirements which best leverage utility end-use energy efficiency programs.

2008-12-08T23:59:59.000Z

336

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

337

Property:Incentive/ImplSector | Open Energy Information  

Open Energy Info (EERE)

ImplSector ImplSector Jump to: navigation, search Property Name Incentive/ImplSector Property Type String Description Implementing Sector. Pages using the property "Incentive/ImplSector" Showing 25 pages using this property. (previous 25) (next 25) 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) + Federal + 3 30% Business Tax Credit for Solar (Vermont) + State/Territory + 4 401 Certification (Vermont) + State/Province + A AEP (Central and North) - CitySmart Program (Texas) + Utility + AEP (Central and North) - Residential Energy Efficiency Programs (Texas) + Utility + AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) + Utility + AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) + Utility + AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) + Utility +

338

The Future State of End-Use Technologies in the United States  

Science Conference Proceedings (OSTI)

To ensure continued success in a deregulated electricity industry, utility executives need to act strategically now and in the future. Looking beyond the current near-term, this project examines long-term trends for the U.S. electricity industry and its customers.

1997-12-12T23:59:59.000Z

339

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

340

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

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


341

Energy 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

342

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

343

Miscellaneous equipment in commercial buildings: The inventory, utilization, and consumption by equipment type  

SciTech Connect

The nature of the miscellaneous equipment (devices other than permanently installed lighting and those used for space conditioning) in commercial buildings is diverse, comprising a wide variety of devices that are subject to varied patterns of use. This portion of the commercial load is frequently underestimated, and widely hypothesized to be growing. These properties make it a particularly difficult load to characterize for purposes of demand-side management. In the End-Use Load and Consumer Assessment Program (ELCAP), over 100 commercial sites in the Pacific Northwest have been metered at the end-use level for several years. Detailed inspections of the equipment in them have also been conducted. This paper describes how the ELCAP data have been used to estimate three fundamental properties of the various types of equipment in several classes of commercial buildings: (1) the installed capacity per unit floor area, (2) utilization of the equipment relative to the installed capacity, and (3) the resulting energy consumption by building type and for the Pacific Northwest commercial sector as a whole. Applications for the results include assessment of conservation potential, prediction of equipment loads from survey data, estimating equipment loads for energy audits, targeting of conservation technology development, and disaggregating building total or mixed end-use data. 4 tabs., refs.

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

1990-09-01T23:59:59.000Z

344

Understanding Superconducting Magnetic Energy Storage (SMES) technology, applications, and economics, for end-use workshop  

DOE Green Energy (OSTI)

The overall objective of this project was to determine the state-of-the-art and to what extent existing SMES is a viable option in meeting the needs of utilities and their customers for improving electric service power quality. By defining and analyzing SMES electrical/mechanical performance characteristics, and comparing SMES application benefits with competitive stored energy systems, industry will be able to determine SMES unique applications and potential market penetration. Building on this information base, it would also be possible to evaluate the impact of high temperature superconductors (77 K and 20-35 K) on SMES technology applications. The authors of this report constructed a network of industry contacts and research consultants that were used to collect, update, and analyze ongoing SMES R&D and marketing activities in industries, utilities, and equipment manufacturers. These key resources were utilized to assemble performance characteristics on existing SMES, battery, capacitor, flywheel, and high temperature superconductor (HTS) stored energy technologies. From this information, preliminary stored energy system comparisons were accomplished. In this way, the electric load needs would be readily comparable to the potential solutions and applications offered by each aforementioned energy storage technology.

Ferraro, R.J. [Ferraro, Oliver, and Associates, Inc., Knoxville, TN (United States); McConnell, B.W. [Oak Ridge National Lab., TN (United States)

1993-06-01T23:59:59.000Z

345

End-use load control for power system dynamic stability enhancement  

SciTech Connect

Faced with the prospect of increasing utilization of the transmission and distribution infrastructure without significant upgrade, the domestic electric power utility industry is investing heavily in technologies to improve network dynamic performance through a program loosely referred to as Flexible AC Transmission System (FACTS). Devices exploiting recent advances in power electronics are being installed in the power system to offset the need to construct new transmission lines. These devices collectively represent investment potential of several billion dollars over the next decade. A similar development, designed to curtail the peak loads and thus defer new transmission, distribution, and generation investment, falls under a category of technologies referred to as demand side management (DSM). A subset of broader conservation measures, DSM acts directly on the load to reduce peak consumption. DSM techniques include direct load control, in which a utility has the ability to curtail specific loads as conditions warrant. A novel approach has been conceived by Pacific Northwest National Laboratory (PNNL) to combine the objectives of FACTS and the technologies inherent in DSM to provide a distributed power system dynamic controller. This technology has the potential to dramatically offset major investments in FACTS devices by using direct load control to achieve dynamic stability objectives. The potential value of distributed versus centralized grid modulation has been examined by simulating the western power grid under extreme loading conditions. In these simulations, a scenario is analyzed in which active grid stabilization enables power imports into the southern California region to be increased several hundred megawatts beyond present limitations. Modeling results show distributed load control is up to 30 percent more effective than traditional centralized control schemes in achieving grid stability.

Dagle, J.E.; Winiarski, D.W.; Donnelly, M.K.

1997-02-01T23:59:59.000Z

346

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

347

,"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"

348

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

349

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. ...

350

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

351

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 Eskoms 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

352

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.

353

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.

354

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

355

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

356

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.

357

NATURAL GAS ADVISORY COMMITTEE Name Affiliation Sector  

E-Print Network (OSTI)

NATURAL GAS ADVISORY COMMITTEE 2011-2013 Name Affiliation Sector Dernovsek, David Bonneville Power Defenbach, Byron Intermountain Gas Distribution Dragoon, Ken NWPCC Council Friedman, Randy NW Natural Gas Distribution Gopal, Jairam Southern CA Edison Electric Utility Hamilton, Linda Shell Trading Gas & Power

358

K-12 Education Sector Desk Reference  

Science Conference Proceedings (OSTI)

Nationwide, educational institutions make up a large portion of the commercial energy market. To support utility marketing and service efforts in this important sector, this compilation collects the best information available about the electric energy needs and issues of kindergarten through 12th grade (K-12) schools.

2000-12-13T23:59:59.000Z

359

Property:ProgramSector | Open Energy Information  

Open Energy Info (EERE)

ProgramSector ProgramSector Jump to: navigation, search This is a property of type String. Pages using the property "ProgramSector" Showing 25 pages using this property. (previous 25) (next 25) 2 2008 Solar Technologies Market Report + Energy + 2010 Solar Market Transformation Analysis and Tools + Energy + 2011 APTA Public Transportation Fact Book + Energy + A A Case for Climate Neutrality: Case Studies on Moving Towards a Low Carbon Economy + Energy +, Land +, Climate + A Conceptual Framework for Progressing Towards Sustainability in the Agriculture and Food Sector + Land + A Guide to Community Solar: Utility, Private, and Non-profit Project Development + Energy + A Low Carbon Economic Strategy for Scotland + Energy +, Land + A Municipal Official's Guide to Diesel Idling Reduction + Climate +, Energy +

360

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

Note: This page contains sample records for the topic "utility sector end-use" 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

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

362

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

363

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.

364

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

365

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

366

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

367

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

368

Austin Utilities - Solar Choice Program (Minnesota) | Open Energy...  

Open Energy Info (EERE)

Active Incentive No Incentive Inactive Date 09012011 Implementing Sector Utility Energy Category Renewable Energy Incentive Programs Amount Varies; determined by amount...

369

City of Lompoc Utilities - Residential Energy Efficient Appliance...  

Open Energy Info (EERE)

Technologies Clothes Washers, CustomOthers pending approval, Dishwasher, Refrigerators, LED Holiday Lights Active Incentive Yes Implementing Sector Utility Energy Category Energy...

370

City of Lompoc Utilities - Commercial Energy Efficiency Rebate...  

Open Energy Info (EERE)

Clothes Washers, CustomOthers pending approval, Dishwasher, Lighting, Refrigerators, LED Exit Signs, LED Lighting Active Incentive Yes Implementing Sector Utility Energy...

371

Utility-scale installations lead solar photovoltaic growth - Today ...  

U.S. Energy Information Administration (EIA)

... led by particularly strong growth in both utility-scale PV and commercial sector PV capacity. Although 2011 was a record year for solar PV growth, ...

372

Profiles in Renewable Energy- Case Studies of Successful Utility...  

Open Energy Info (EERE)

Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Profiles in Renewable Energy- Case Studies of Successful Utility-Sector...

373

TVA Partner Utilities - In-Home Energy Evaluation Pilot Program...  

Open Energy Info (EERE)

Eligible Technologies Central Air conditioners, DuctAir sealing, Equipment Insulation, Heat pumps, Windows, HVAC Tune-up Active Incentive Yes Implementing Sector Utility Energy...

374

Practitioner Perspectives Matter: Public Policy and Private Investment in the U.S. Electric Power Sector  

E-Print Network (OSTI)

2006). Survey of Electric Power Sector Professionals. b. Years of experience in electric power c. Experience byover course of career in electric power (utility, developer,

Barradale, Merrill Jones

2010-01-01T23:59:59.000Z

375

NSLS Utilities  

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

Utilities Utilities The Utilities Group, led by project engineer Ron Beauman, is responsible for providing Utilities Engineering and Technical services to NSLS, Users, and SDL including cooling water at controlled flow rates, pressures, and temperatures, compressed air and other gases. In addition, they provide HVAC engineering, technical, and electrical services as needed. Utilities systems include cooling and process water, gas, and compressed air systems. These systems are essential to NSLS operations. Working behind the scenes, the Utilities group continuously performs preventative maintenance to ensure that the NSLS has minimal downtime. This is quite a feat, considering that the Utilities group has to maintain seven very large and independent systems that extent throughout NSLS. Part of the group's

376

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

377

" 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...

378

" 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 "...

379

" 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 "...

380

Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis  

SciTech Connect

This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

Fournier, W.M.; Hasson, V.

1980-10-10T23:59:59.000Z

Note: This page contains sample records for the topic "utility sector end-use" 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

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

382

Solar Utility SpA | Open Energy Information  

Open Energy Info (EERE)

navigation, search Name Solar Utility SpA Place Italy Sector Solar Product Italy-based solar PV project developer. References Solar Utility SpA1 LinkedIn Connections...

383

Assessment of Industrial-Sector Load Shapes  

Science Conference Proceedings (OSTI)

The load shapes of industrial-sector customers are becoming increasingly important for utility forecasting, marketing, and demand-side management planning and evaluation activities. This report analyzes load shapes for various industry segments and investigates the transfer of these load shapes across service territories. 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 .

1993-02-18T23:59:59.000Z

384

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

385

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

386

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

387

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

388

Gas utilization technologies  

SciTech Connect

One of the constant challenges facing the research community is the identification of technology needs 5 to 15 years from now. A look back into history indicates that the forces driving natural gas research have changed from decade to decade. In the 1970s research was driven by concerns for adequate supply; in the 1980s research was aimed at creating new markets for natural gas. What then are the driving forces for the 1990s? Recent reports from the natural gas industry have helped define a new direction driven primarily by market demand for natural gas. A study prepared by the Interstate Natural Gas Association of America Foundation entitled ``Survey of Natural Research, Development, and Demonstration RD&D Priorities`` indicated that in the 1990s the highest research priority should be for natural gas utilization and that technology development efforts should not only address efficiency and cost, but environmental and regulatory issues as well. This study and others, such as the report by the American Gas Association (A.G.A.) entitled ``Strategic Vision for Natural Gas Through the Year 2000,`` clearly identify the market sectors driving today`s technology development needs. The biggest driver is the power generation market followed by the industrial, transportation, appliance, and gas cooling markets. This is best illustrated by the GRI 1994 Baseline Projection on market growth in various sectors between the year 1992 and 2010. This paper highlights some of the recent technology developments in each one of these sectors.

Biljetina, R.

1994-09-01T23:59:59.000Z

389

Analysis of PG&E's Residential End-Use Metered Data to Improve Electricity Demand Forecasts -Final Report  

E-Print Network (OSTI)

of Energy Management Division of the U. S. Department of Energy under Contract No. DE-AC03-76SFOOO9S. #12) and by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Utility Teclmologies. Office

390

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

391

Private Sector Outreach and Partnerships  

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

ISERs 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 divisions domestic capabilities have been...

392

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

393

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

394

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

395

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

396

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

397

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.

398

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).

399

Advanced metering techniques in the federal sector  

SciTech Connect

The lack of utility metering in the federal sector has hampered introduction of direct billing of individual activities at most military installations. Direct billing will produce accountability for the amount of energy used and is a positive step toward self-directed energy conservation. For many installations, automatic meter reading (AMR) is a cost-effective way to increase the number of meters while reducing labor requirements and providing energy conservation analysis capabilities. The communications technology used by some of the AMR systems provides other demand-side management (DSM) capabilities. This paper summarizes the characteristics and relative merits of several AMR/DSM technologies that may be appropriate for the federal sector. A case study of an AMR system being installed at Fort Irwin, California, describes a cost-effective two-way radio communication system used for meter reading and load control.

Szydlowski, R.F.; Chvala, W.D. Jr.; Halverson, M.A.

1994-12-01T23:59:59.000Z

400

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

Note: This page contains sample records for the topic "utility sector end-use" 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

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).

402

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

403

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

404

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

405

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

406

Private-sector power generation in Thailand: potential, impediments, and policy issues. Final report  

SciTech Connect

The Royal Thai Government (RTG) is exploring ways of involving the private sector in electricity generation. The study: (1) assesses the sector's potential for non-utility power generation, including such options as industrial cogeneration, agricultural-waste-based energy systems, and large-scale systems using domestic fossil fuels; (2) reviews existing power-sector institutions in Thailand and analyzes the major issues and impediments associated with private-sector power generation; and (3) based on U.S. experience, describes possible approaches to establishing the price of non-utility electricity.

1986-11-01T23:59:59.000Z

407

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...

408

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

Science Conference Proceedings (OSTI)

The global economy has grown rapidly over the past decade with a commensurate growth in the demand for electricity services that has increased a country's vulnerability to energy supply disruptions. Increasing need of reliable and affordable electricity supply is a challenge which is before every Asia Pacific Partnership (APP) country. Collaboration between APP members has been extremely fruitful in identifying potential efficiency upgrades and implementing clean technology in the supply side of the power sector as well established the beginnings of collaboration. However, significantly more effort needs to be focused on demand side potential in each country. Demand side management or DSM in this case is a policy measure that promotes energy efficiency as an alternative to increasing electricity supply. It uses financial or other incentives to slow demand growth on condition that the incremental cost needed is less than the cost of increasing supply. Such DSM measures provide an alternative to building power supply capacity The type of financial incentives comprise of rebates (subsidies), tax exemptions, reduced interest loans, etc. Other approaches include the utilization of a cap and trade scheme to foster energy efficiency projects by creating a market where savings are valued. Under this scheme, greenhouse gas (GHG) emissions associated with the production of electricity are capped and electricity retailers are required to meet the target partially or entirely through energy efficiency activities. Implementation of DSM projects is very much in the early stages in several of the APP countries or localized to a regional part of the country. The purpose of this project is to review the different types of DSM programs experienced by APP countries and to estimate the overall future potential for cost-effective demand-side efficiency improvements in buildings sectors in the 7 APP countries through the year 2030. Overall, the savings potential is estimated to be 1.7 thousand TWh or 21percent of the 2030 projected base case electricity demand. Electricity savings potential ranges from a high of 38percent in India to a low of 9percent in Korea for the two sectors. Lighting, fans, and TV sets and lighting and refrigeration are the largest contributors to residential and commercial electricity savings respectively. This work presents a first estimates of the savings potential of DSM programs in APP countries. While the resulting estimates are based on detailed end-use data, it is worth keeping in mind that more work is needed to overcome limitation in data at this time of the project.

McNeil, MIchael; Letschert, Virginie; Shen, Bo; Sathaye, Jayant; de la Ru du Can, Stephane

2011-01-12T23:59:59.000Z

409

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

410

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

411

Utility Rate Discounts | Open Energy Information  

Open Energy Info (EERE)

Discounts Discounts Jump to: navigation, search A few electric utilities offer rate discounts to encourage residential energy efficiency. For homes that meet certain energy efficiency criteria, such as those established by the federal Energy Star program, the owner or tenant is awarded a percentage discount on each month’s electric bill. [1] Contents 1 Utility Rate Discount Incentives 2 References Utility Rate Discount Incentives CSV (rows 1 - 14) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Cleco Power - Power Miser New Home Program (Louisiana) Utility Rate Discount Louisiana Residential Building Insulation Central Air conditioners Clothes Washers Comprehensive Measures/Whole Building Doors Duct/Air sealing Furnaces Heat pumps

412

Structural Change and Futures for the Electric Utility Industry  

Science Conference Proceedings (OSTI)

Technological change and evolving customer needs have already combined to precipitate fundamental structural change in several capital-intensive industries, notably the telecommunications, natural gas, and transportation sectors. These forces are now being unleashed in the electric utility sector. This report outlines some common patterns of change across several industries and presents scenarios of structural change for the electric power industry.

1995-08-09T23:59:59.000Z

413

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

414

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

415

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

416

Distributed Photovoltaics: Utility Integration Issues and Opportunities  

Science Conference Proceedings (OSTI)

This white paper addresses industry involvement in distributed photovoltaic (PV) deployment and integration from a technical and business perspective. It considers evolving PV system technologies and markets, introduces distributed PV applications and initiatives being implemented by utilities and other industry participants, and identifies critical issues and opportunities facing the U.S. electric sector.

2008-08-29T23:59:59.000Z

417

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...

418

Utility Rebate Program | Open Energy Information  

Open Energy Info (EERE)

Utility Rebate Program Utility Rebate Program Jump to: navigation, search States, local governments and utilities offer rebates to promote the installation of renewable energy systems and energy efficiency measures. The majority of rebate programs that support renewable energy are administered by states, municipal utilities and electric cooperatives; these programs commonly provide funding for solar water heating and/or photovoltaic (PV) systems. Most rebate programs that support energy efficiency are administered by utilities. Rebate amounts vary widely based on technology and program administrator. [1] Utility Rebate Program Incentives CSV (rows 1-500) CSV (rows 501-1000) CSV (rows 1001-1500) CSV (rows 1501-1718) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active

419

Utility Wind Interest Group | Open Energy Information  

Open Energy Info (EERE)

Wind Interest Group Wind Interest Group Jump to: navigation, search Name Utility Wind Interest Group Place Reston, Virginia Zip VI 20195 Sector Wind energy Product The Utility Wind Interest Group (UWIG) is a non-profit corporation whose mission is to accelerate the appropriate integration of wind power into the electric system. References Utility Wind Interest Group[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Wind Interest Group is a company located in Reston, Virginia . References ↑ "Utility Wind Interest Group" Retrieved from "http://en.openei.org/w/index.php?title=Utility_Wind_Interest_Group&oldid=352690" Categories: Clean Energy Organizations

420

Mt Peak Utility | Open Energy Information  

Open Energy Info (EERE)

Peak Utility Peak Utility Jump to: navigation, search Name Mt Peak Utility Facility Mt Peak Utility Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner Mnt Peak Utility Energy Purchaser Mnt Peak Utility Location Midlothian TX Coordinates 32.42144978°, -97.02427357° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.42144978,"lon":-97.02427357,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "utility sector end-use" 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

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

422

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)

423

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)

424

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

425

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

426

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)

427

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)

428

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% ...

429

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,...

430

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,...

431

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.

432

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.

433

NET PRED UTILITY  

Energy Science and Technology Software Center (OSTI)

002602IBMPC00 Normalized Elution Time Prediction Utility http://omics.pnl.gov/software/NETPredictionUtility.php

434

Activities to Secure Control Systems in the Energy Sector  

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

sector sector NSTB November 2008 Hank Kenchington - Program Manager Office of Electricity of Delivery and Energy Reliability U.S. Department of Energy Activities to Secure Control Systems in the Energy Sector * 2,000,000 Miles of Oil Pipelines * 1,300,000 Miles of Gas Pipelines * 2,000 Petroleum Terminals * ~1,000,000 Wells * Extensive Ports, Refineries, Transportation, and LNG Facilities * 160,000 Miles of Electrical Transmission lines * ~17,000 Generators; 985,000 Megawatts (net summer capacity) * Over 3,100 Electric Utilities, with 131 million customers Refinery Locations, Crude and Product Pipelines Source: Energy Information Administration, Office of Oil & Gas LNG Import Facilities (Reactivation underway) Legend Interstate Pipelines Intrastate and Other Pipelines

435

DEMEC Member Utilities - Green Energy Program Incentives (8 utilities...  

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

Member Utilities - Green Energy Program Incentives (8 utilities) DEMEC Member Utilities - Green Energy Program Incentives (8 utilities) Eligibility Agricultural Commercial...

436

Utilities | Open Energy Information  

Open Energy Info (EERE)

Utilities Utilities Jump to: navigation, search Utilities Electric Utility Rates The Utilities Gateway houses OpenEI's free, community-editable utility rate repository. OpenEI users may browse, edit and add new electric utility rates to OpenEI's repository. EIA provides the authoritative list of utility companies in the United States, and thus OpenEI limits utility rates to companies listed by EIA. 43,031 rates have been contributed for 3,832 EIA-recognized utility companies. Browse rates by zip code Browse rates by utility name Create or edit a rate Number of Utility Companies by State Click on a state to view summaries for that state. See a list of all U.S. utility companies and aliases Utility Rate Database Description The Utility Rate Database (URDB) is a free storehouse of rate structure

437

Industry insight Energy and utilities In a nutshell  

E-Print Network (OSTI)

in highly specific areas within the oil and gas, waste management, recycling and renewable energies sectors1 Industry insight ­ Energy and utilities In a nutshell The UK's energy and utilities industry management; renewable energy industries; energy conservation organisations. The industry employs around 530

Martin, Ralph R.

438

Utilities Sell Lighting, Cooling and Heating to Large Customers  

E-Print Network (OSTI)

The electric utility industry is entering an era of unprecedented competition. Competition from traditional sources such as natural gas companies, customer cogeneration, and independent power producers are being joined by new sources of competition, namely, other electric utilities. Compounding this situation are two recent occurrences: 1) the passage of the Energy Policy Act of 1992 which encourages wheeling, and 2) the trend toward institutional and industrial customers outsourcing energy generation and production facilities to third-parties. The electric utility industry is searching for ways to combat this competition, develop more value-added services for their customers, and establish long-term contractual relationships with their important customers. Many utilities are considering selling customers not just electrical energy but the more usable forms of energy like lumens of light, chilled water, hot water, and steam. This paper and presentation will outline the recent and near future electric utility operating environment, introduce the numerous benefits that electric utilities derive from selling end-use output, and outline a number of utility efforts to develop end-use products and services.

Horne, M. L.; Zien, H. B.

1996-04-01T23:59:59.000Z

439

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

440

Mandatory Utility Green Power Option | Open Energy Information  

Open Energy Info (EERE)

Mandatory Utility Green Power Option Mandatory Utility Green Power Option Jump to: navigation, search Several states require certain electric utilities to offer customers the option of buying electricity generated from renewable resources, commonly known as “green power.” Typically, utilities offer green power generated using renewable resources that the utilities own (or for which they contract), or they buy renewable energy credits (RECs) from a renewable energy provider certified by a state public utilities commission [1] Mandatory Utility Green Power Option Incentives CSV (rows 1 - 17) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active DEMEC - Green Power Program (Delaware) Mandatory Utility Green Power Option Delaware Municipal Utility Solar Water Heat

Note: This page contains sample records for the topic "utility sector end-use" 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

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

442

UGI Utilities Electric Division | Open Energy Information  

Open Energy Info (EERE)

Utilities Electric Division Utilities Electric Division Jump to: navigation, search Logo: UGI Utilities Electric Division Name UGI Utilities Electric Division Address 2525 North 12th Street, Suite 360 Place Reading, Pennsylvania Zip 19605 Sector Services Product Green Power Marketer Website http://www.ugi.com/electric/in Coordinates 40.3746587°, -75.9149578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.3746587,"lon":-75.9149578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

443

Utility Rate Discount | Open Energy Information  

Open Energy Info (EERE)

Discount Discount Jump to: navigation, search A few electric utilities offer rate discounts to encourage residential energy efficiency. For homes that meet certain energy efficiency criteria, such as those established by the federal Energy Star program, the owner or tenant is awarded a percentage discount on each month’s electric bill. [1] Utility Rate Discount Incentives CSV (rows 1 - 14) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Cleco Power - Power Miser New Home Program (Louisiana) Utility Rate Discount Louisiana Residential Building Insulation Central Air conditioners Clothes Washers Comprehensive Measures/Whole Building Doors Duct/Air sealing Furnaces Heat pumps Water Heaters Windows Yes Dominion North Carolina Power - Energy Saver Home Plus (North Carolina) Utility Rate Discount North Carolina Residential Water Heaters

444

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

445

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

446

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

447

Cogeneration - A Utility Perspective  

E-Print Network (OSTI)

Cogeneration has become an extremely popular subject when discussing conservation and energy saving techniques. One of the key factors which effect conservation is the utility viewpoint on PURPA and cogeneration rule making. These topics are discussed from a utility perspective as how they influence utility participation in future projects. The avoided cost methodology is examined, and these payments for sale of energy to the utility are compared with utility industrial rates. In addition to utilities and industry, third party owner/operation is also a viable option to cogeneration. These options are also discussed as to their impact on the utility and the potential of these ownership arrangements.

Williams, M.

1983-01-01T23:59:59.000Z

448

Energy Department Develops Tool with Industry to Help Utilities Strengthen  

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

Develops Tool with Industry to Help Utilities Develops Tool with Industry to Help Utilities Strengthen Their Cybersecurity Capabilities Energy Department Develops Tool with Industry to Help Utilities Strengthen Their Cybersecurity Capabilities June 28, 2012 - 10:24am Addthis News Media Contact (202) 586-4940 WASHINGTON -- As part of the Obama Administration's commitment to protecting America's critical energy infrastructure, U.S. Energy Secretary Steven Chu today announced the release of a new Cybersecurity Self-Evaluation Survey Tool for utilities that will strengthen protection of the nation's electric grid from cybersecurity threats. Today's announcement is part of a broader White House initiative to develop a Cybersecurity Capability Maturity Model for the electricity sector, which aims to support the private sector and utilities nationwide in determining

449

Climate VISION: Private Sector Initiatives: Mining: GHG Information  

Office of Scientific and Technical Information (OSTI)

Energy Footprints Energy Footprints DOE developed a series of Energy Footprints to map the flow of energy supply and demand in U.S. manufacturing industries. Identifying the sources and end uses of energy helps to pinpoint areas of energy intensity and characterize the unique energy needs of individual industries. On the supply side, the footprints provide details on the energy purchased from utilities (electricity, fossil fuels), energy generated onsite, and excess energy transported to the local grid. On the demand side, the footprints illustrate where and how energy is used within a typical plant, from central boilers to motors. Most important, the footprints identify where energy is lost due to inefficiencies, both inside and outside the plant boundary. Considerable energy is lost, for example, in steam and

450

Climate VISION: Private Sector Initiatives: Aluminum: GHG Information -  

Office of Scientific and Technical Information (OSTI)

Energy Footprints Energy Footprints DOE developed a series of Energy Footprints to map the flow of energy supply and demand in U.S. manufacturing industries. Identifying the sources and end uses of energy helps to pinpoint areas of energy intensity and characterize the unique energy needs of individual industries. On the supply side, the footprints provide details on the energy purchased from utilities (electricity, fossil fuels), energy generated onsite, and excess energy transported to the local grid. On the demand side, the footprints illustrate where and how energy is used within a typical plant, from central boilers to motors. Most important, the footprints identify where energy is lost due to inefficiencies, both inside and outside the plant boundary. Considerable energy is lost, for example, in steam and

451

Climate VISION: Private Sector Initiatives: Automobile Manufacturers: GHG  

Office of Scientific and Technical Information (OSTI)

GHG Information GHG Information Energy Footprints DOE developed a series of Energy Footprints to map the flow of energy supply and demand in U.S. manufacturing industries. Identifying the sources and end uses of energy helps to pinpoint areas of energy intensity and characterize the unique energy needs of individual industries. On the supply side, the footprints provide details on the energy purchased from utilities (electricity, fossil fuels), energy generated onsite, and excess energy transported to the local grid. On the demand side, the footprints illustrate where and how energy is used within a typical plant, from central boilers to motors. Most important, the footprints identify where energy is lost due to inefficiencies, both inside and outside the plant boundary. Considerable energy is lost, for example, in steam and

452

Climate VISION: Private Sector Initiatives: Chemical Manufacturing: GHG  

Office of Scientific and Technical Information (OSTI)

Energy Footprints Energy Footprints DOE developed a series of Energy Footprints to map the flow of energy supply and demand in U.S. manufacturing industries. Identifying the sources and end uses of energy helps to pinpoint areas of energy intensity and characterize the unique energy needs of individual industries. On the supply side, the footprints provide details on the energy purchased from utilities (electricity, fossil fuels), energy generated onsite, and excess energy transported to the local grid. On the demand side, the footprints illustrate where and how energy is used within a typical plant, from central boilers to motors. Most important, the footprints identify where energy is lost due to inefficiencies, both inside and outside the plant boundary. Considerable energy is lost, for example, in steam and

453

Climate VISION: Private Sector Initiatives: Cement: GHG Information -  

Office of Scientific and Technical Information (OSTI)

GHG Information GHG Information Energy Footprints DOE developed a series of Energy Footprints to map the flow of energy supply and demand in U.S. manufacturing industries. Identifying the sources and end uses of energy helps to pinpoint areas of energy intensity and characterize the unique energy needs of individual industries. On the supply side, the footprints provide details on the energy purchased from utilities (electricity, fossil fuels), energy generated onsite, and excess energy transported to the local grid. On the demand side, the footprints illustrate where and how energy is used within a typical plant, from central boilers to motors. Most important, the footprints identify where energy is lost due to inefficiencies, both inside and outside the plant boundary. Considerable energy is lost, for example, in steam and

454

Energy-Efficient Water Heating Program for the Residential Sector.  

Science Conference Proceedings (OSTI)

During the power surplus period of the late 1980's, Bonneville sponsored market research which provided an understanding of the market environment in the water heating end-use. The major areas of investigation included market trends, consumer purchasing practices, unit price, and availability of energy-efficient models. In 1988, Bonneville conducted a series of meetings with utilities operating water heater programs. Discussions focused on utility program concerns and the appropriate role for Bonneville as the region seeks efficiency in residential water heating. The design of the Program is based to a large degree on the experiences gained by regional utilities operating water heater incentive programs. In addition, an analysis of incentive programs operated outside the region has been helpful in the development of a regional program. Bonneville is a member of the Appliance Efficiency Group (AEG), formerly the Northwest Appliance Efficiency Group, and participates in discussions on water heating issues as they relate to the Pacific Northwest. The work done with the Appliance Efficiency Group has provided additional input in the development of the Program. This Program has been developed using a Public Involvement Process. A draft program strategy was made available to the public for comment during April 1990. The comments received were considered in the development of this document.

United States. Bonneville Power Administration.

1990-09-01T23:59:59.000Z

455

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

456

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

457

Utilities | Department of Energy  

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

Utilities Utilities Utilities Below are resources for Tribes about utilities. The Economics of Electric System Municipalization Looks at the economic environment in California to determine whether municipalization would be a beneficial option for many California cities. Source: Bay Area Economic Forum. Establishing a Tribal Utility Authority Handbook Provides an introduction to electric utility operation and general guidance for the steps required to form a tribal utility authority. Funded by an economic development grant awarded by the U.S. Department of the Interior's Office of Indian Energy and Economic Development to the Ak-Chin Indian Community and its tribal utility authority, Ak-Chin Energy Services. Source: Leonard S. Gold, Utility Strategies Consulting Group,

458

Osage Municipal Utilities Wind | Open Energy Information  

Open Energy Info (EERE)

Osage Municipal Utilities Wind Osage Municipal Utilities Wind Jump to: navigation, search Name Osage Municipal Utilities Wind Facility Osage Municipal Utilities Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Osage Municipal Utilities Developer Osage Municipal Utilities Energy Purchaser Osage Municipal Utilities Location West of Osage IA Coordinates 43.298363°, -92.84096° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.298363,"lon":-92.84096,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

459

FEMP Utility Services  

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

Utility Services Utility Services Karen Thomas & Deb Beattie  SPONSORED BY THE FEDERAL ENERGY MANAGEMENT PROGRAM  Overview  UESC Project Support  Agency / Utility Partnerships  Renewable Project Support  Design Assistance  Agency Energy Implementation Plans * * * * * * UESC Project Support Education UESC Workshops Agency Briefings Utility Briefings On-site team training Communications Web site Enabling documents * Case studies UESC Project Support Direct Project Assistance Project facilitation Advise & Consult In depth Contract development Technical Proposal review Performance Verification Agency / Utility Partnerships Federal Utility Partnership Working Group Strategic Partnering Meeting Renewable Projects  Resource Screening: - PV - Solar Hot Water

460

EVALUATION OF PV GENERATION CAPICITY CREDIT FORECAST ON DAY-AHEAD UTILITY MARKETS  

E-Print Network (OSTI)

EVALUATION OF PV GENERATION CAPICITY CREDIT FORECAST ON DAY-AHEAD UTILITY MARKETS Richard Perez of the NDFD-based solar radiation forecasts for several climatically distinct locations, the evaluation is now continued by testing the forecasts' end-use operational accuracy, focusing on their ability to accurately

Perez, Richard R.

Note: This page contains sample records for the topic "utility sector end-use" 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

Liberty Utilities (Electric) - Commercial New Construction Rebate Program  

Open Energy Info (EERE)

Utilities (Electric) - Commercial New Construction Rebate Program Utilities (Electric) - Commercial New Construction Rebate Program (New Hampshire) No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Summary Last modified on March 13, 2013. Financial Incentive Program Place New Hampshire Name Liberty Utilities (Electric) - Commercial New Construction Rebate Program (New Hampshire) Incentive Type Utility Rebate Program Applicable Sector Commercial, Industrial, Local Government, Schools Eligible Technologies Central Air conditioners, Chillers, Compressed air, Custom/Others pending approval, Energy Mgmt. Systems/Building Controls, Heat pumps, Lighting, Lighting Controls/Sensors, Motor VFDs, Motors, Geothermal Heat Pumps, Control Sensors, Economizers

462

Avista Utilities- Net Metering  

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

Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net...

463

Utility Brownfields Resource Guide  

Science Conference Proceedings (OSTI)

EPRI has established a program designed to assist utilities wishing to participate in local Brownfields redevelopment projects. EPRI developed this Brownfields guide to educate utility economic and real estate development personnel in identifying, screening, and supporting Brownfields projects.

1998-12-18T23:59:59.000Z

464

By-Products Utilization  

E-Print Network (OSTI)

for rapid identification of buried utilities, blended coal ash, and non-spec./off-spec. aggregates and fly

Wisconsin-Milwaukee, University of

465

CMC/ BMC Utility Products | Open Energy Information  

Open Energy Info (EERE)

CMC/ BMC Utility Products CMC/ BMC Utility Products Jump to: navigation, search Name CMC/ BMC Utility Products Address 3501 Symmes Road Place Hamilton, Ohio Zip 45015 Sector Services, Solar, Wind energy Product Installation; Maintenance and repair;Manufacturing Phone number 513-860-4455 Website http://www.cmclugs.com Coordinates 39.3443592°, -84.5062904° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.3443592,"lon":-84.5062904,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

466

Adapting state and national electricity consumption forecasting methods to utility service areas. Final report  

SciTech Connect

This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

Swift, M.A.

1984-07-01T23:59:59.000Z

467

EERC Center for Biomass Utilization | Open Energy Information  

Open Energy Info (EERE)

Center for Biomass Utilization Center for Biomass Utilization Jump to: navigation, search Name EERC Center for Biomass Utilization Place Grand Forks, North Dakota Sector Biofuels, Biomass Product The mission of CBU is to develop technologies for, and promote the use of, biomass for production of biopower, transportation biofuels, and bioproducts as well as mitigate the technical challenges associated with biomass utilisation. References EERC Center for Biomass Utilization[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. EERC Center for Biomass Utilization is a company located in Grand Forks, North Dakota . References ↑ "EERC Center for Biomass Utilization" Retrieved from "http://en.openei.org/w/index.php?title=EERC_Center_for_Biomass_Utilization&oldid=344557

468

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.

469

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect

This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

470

Regional comparisons of on-site solar potential in the residential and industrial sectors  

SciTech Connect

Regional and sub-regional differences in the potential development of decentralized solar technologies are studied. Two sectors of the economy were selected for intensive analysis: the residential and industrial sectors. In both investigations, the sequence of analysis follows the same general steps: (1) selection of appropriate prototypes within each land-use sector disaggregated by census region; (2) characterization of the end-use energy demand of each prototype in order to match an appropriate decentralized solar technology to the energy demand; (3) assessment of the energy conservation potential within each prototype limited by land use patterns, technology efficiency, and variation in solar insolation; and (4) evaluation of the regional and sub-regional differences in the land use implications of decentralized energy supply technologies that result from the combination of energy demand, energy supply potential, and the subsequent addition of increasingly more restrictive policies to increase the percent contribution of on-site solar energy. Results are presented and discussed. It is concluded that determining regional variations in solar energy contribution for both the residential and industrial sectors appears to be more dependent upon a characterization of existing demand and conservation potential than regional variations in solar insolation. Local governmental decisions influencing developing land use patterns can significantly promote solar energy use and reduce reliance on non-renewable energy sources. These decisions include such measures as solar access protection through controls on vegetation and on building height and density in the residential sector, and district heating systems and industrial co-location in the manufacturing sector. (WHK)

Gatzke, A.E.; Skewes-Cox, A.O.

1980-10-01T23:59:59.000Z

471

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

SciTech Connect

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

Not Available

1984-02-28T23:59:59.000Z

472

DOE Issues Energy Sector Cyber Organization NOI  

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

Issues National Energy Sector Cyber Organization Notice of Intent Issues National Energy Sector Cyber Organization Notice of Intent February 11, 2010 The Department of Energy's (DOE) National Energy Technology Laboratory (NETL) announced on Jan. 7 that it intends to issue a Funding Opportunity Announcement (FOA) for a National Energy Sector Cyber Organization, envisioned as a partnership between the federal government and energy sector stakeholders to protect the bulk power electric grid and aid the integration of smart grid technology to enhance the security of the grid. The cyber organization is expected to have the knowledge, expertise, capabilities, and capacity, at a minimum to: * Identify and prioritize cyber security research and development issues.

473

Supplychain - Additional Market Sectors | Data.gov  

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

Additional Market Sectors Sustainable Supply Chains Submissions Let's Talk About Sustainable Supply Chain You are here Data.gov Communities Sustainable Supply Chain...

474

Pick a Market Sector | Data.gov  

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

Pick a Market Sector Sustainable Supply Chains Submissions Let's Talk About Sustainable Supply Chain You are here Data.gov Communities Sustainable Supply Chain Pick a Market...

475

DOE Issues Energy Sector Cyber Organization NOI  

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

Issues National Energy Sector Cyber Organization Notice of Intent February 11, 2010 The Department of Energy's (DOE) National Energy Technology Laboratory (NETL) announced on Jan....

476

Financial Services Sector Signs Cybersecurity Research ...  

Science Conference Proceedings (OSTI)

... trading and funds management, and many other business and consumer ... to protect its customers by enhancing the sector's resilience and integrity. ...

2010-12-08T23:59:59.000Z

477

OpenEI - energy use by sector  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm340 en New Zealand Energy Use Survey: Industrial and Trade Sectors (2009) http:en.openei.orgdatasetsnode365

Statistics New...

478

ProgramSector Land | Open Energy Information  

Open Energy Info (EERE)

Towards a Low Carbon Economy + A Conceptual Framework for Progressing Towards Sustainability in the Agriculture and Food Sector + A Low Carbon Economic Strategy for Scotland +...

479

Climate VISION: Private Sector Initiatives: Business Roundtable...  

Office of Scientific and Technical Information (OSTI)

Results Every Sector, One RESOLVE: A Progress Report on Business Roundtable's Climate RESOLVE Program, September 2004 (PDF 1.8 MB) Download Acrobat Reader...

480

US Energy Sector Vulnerabilities to Climate Change  

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

corn field near Somers, Iowa; wind turbines in Texas. Photo credits: iStockphoto U.S. ENERGY SECTOR VULNERABILITIES TO CLIMATE CHANGE AND EXTREME WEATHER Acknowledgements This...

Note: This page contains sample records for the topic "utility sector end-use" 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

Energy Perspectives: Industrial and transportation sectors ...  

U.S. Energy Information Administration (EIA)

Since 2008, energy use in the transportation, residential, and commercial sectors stayed relatively constant or fell slightly. Industrial consumption grew in 2010 and ...

482

Combined Heat & Power Technology Overview and Federal Sector Deployment  

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

Overview and Overview and Federal Sector Deployment Federal Utility Partnership Working Group Spring 2013 - May 22-23 San Francisco, CA Hosted by: Pacific Gas and Electric Company Bob Slattery Oak Ridge National Laboratory CHP is an integrated energy system that:  is located at or near a facility  generates electrical and/or mechanical power  recovers waste heat for ◦ heating ◦ cooling ◦ dehumidification  can utilize a variety of technologies and fuels  is also referred to as cogeneration The on-site simultaneous generation of two forms of energy (heat and electricity) from a single fuel/energy source Defining Combined Heat and Power (CHP) Steam Electricity Fuel Prime Mover & Generator Heat Recovery Steam Boiler Conventional CHP

483

Public Sector Leadership: Government Purchasing of Energy-efficient  

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

Public Sector Leadership: Government Purchasing of Energy-efficient Public Sector Leadership: Government Purchasing of Energy-efficient Products to Save Energy and "Pull" the Market Title Public Sector Leadership: Government Purchasing of Energy-efficient Products to Save Energy and "Pull" the Market Publication Type Conference Proceedings Year of Publication 2004 Authors Coleman, Philip, and Jeffrey P. Harris Conference Name Kuwait ASST Workshop on Energy Conservation in Buildings Series Title Energy Efficiency for Fuelling the World Date Published 01/2004 Conference Location Kuwait Abstract In most countries, government spending represents between 10% and 25% of total economic activity, with the national government generally accounting for the largest portion. Consequently, governments' spending can exert a strong influence on the markets for the products and services they purchase, especially when this procurement is concerted. In the last decade, several governments have instituted programs designed to direct their purchasing of energy-using products to the more efficient models on the market. This has two impacts: It provides substantial direct savings to the government on its utility bills while also helping to increase the availability and lower the prices of these more efficient models for all buyers.

484

OpenEI Community - Utility+Utility Access Map  

Open Energy Info (EERE)

Finding Utility Finding Utility Companies Under a Given Utility ID http://en.openei.org/community/blog/finding-utility-companies-under-given-utility-id  Here's a quick way to find all the utility company pages under a given utility id.  From the Special Ask page, in the query box enter the following: [[Category:Utility Companies]][[EiaUtilityId::15248]] substituting your utility id of interest for 15248, and click "Find results". http://en.openei.org/community/blog/finding-utility-companies-under-given-utility-id#comments

485

"List of Covered Electric Utilities" under the Public Utility...  

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

6 Revised "List of Covered Electric Utilities" under the Public Utility Regulatory Policies Act of 1978 (PURPA) - 2006 Revised Under Title I of the Public Utility Regulatory...

486

Carrots for Utilities: Providing Financial Returns for Utility...  

Open Energy Info (EERE)

Carrots for Utilities: Providing Financial Returns for Utility Investments in Energy Efficiency Jump to: navigation, search Name Carrots for Utilities: Providing Financial Returns...

487

Bulk Energy Storage: Assessment of Green House Gas Impacts to the Electric Power Sector  

Science Conference Proceedings (OSTI)

Electric utilities are interested in understanding the role and impacts electric energy storage systems can have on reducing the electric sector's green house gas (GHG) emissions. This research project was undertaken to better understand and quantify GHG impacts of electric storage systems. The project specifically focuses on bulk energy storage systems such as compressed air energy storage (CAES).

2008-12-22T23:59:59.000Z

488

NATURAL GAS ADVISORY COMMITTEE 2013-2015 Name Affiliation Phone E-mail Sector June 7  

E-Print Network (OSTI)

NATURAL GAS ADVISORY COMMITTEE 2013-2015 Name Affiliation Phone E-mail Sector June 7 meeting Cocks Friedman, Randy NW Natural Gas (503) 721-2475 randy.friedman@nwnatural.com Distribution Finklea Edward NW-8553 bdickens@ci.tacoma.wa.us Electric Utility Defenbach, Byron Intermountain Gas (208) 377-6080 bdefen

489

NATURAL GAS ADVISORY COMMITTEE 2013-2015 Name Affiliation Phone E-mail Sector  

E-Print Network (OSTI)

NATURAL GAS ADVISORY COMMITTEE 2013-2015 Name Affiliation Phone E-mail Sector Cocks, Michael BPA Natural Gas (503) 721-2475 randy.friedman@nwnatural.com Distribution Finklea Edward NW Ind. Gas Users (503@ci.tacoma.wa.us Electric Utility Defenbach, Byron Intermountain Gas (208) 377-6080 bdefen@intgas.com Distribution Dahlberg

490

Utility Solar Business Models  

Science Conference Proceedings (OSTI)

Many utilities are initiating business plans that enable them to play a more integral role in the solar power value chain. This report summarizes research completed to identify and track utility solar business models (USBMs) in the United States. EPRI and the Solar Electric Power Association (SEPA) are conducting an ongoing joint research effort to evaluate the expanding range of utility activities in acquiring solar energy, including photovoltaic (PV) asset ownership. Throughout 2011, USBMs have been ca...

2011-11-21T23:59:59.000Z

491

Utilities weather the storm  

SciTech Connect

Utilities must restore power to storm-damaged transmission and distribution systems, even if it means going out in ice storms or during lightning and hurricane conditions. Weather forecasting helps utilities plan for possible damage as well as alerting them to long-term trends. Storm planning includes having trained repair personnel available and adjusting the system so that less power imports are needed. Storm damage response requires teamwork and cooperation between utilities. Utilities can strengthen equipment in storm-prone or vulnerable areas, but good data are necessary to document the incidence of lighning strikes, hurricanes, etc. 2 references, 8 figures.

Lihach, N.

1984-11-01T23:59:59.000Z

492

Tribal Utility Feasibility Study  

DOE Green Energy (OSTI)

Facility scale, net metered renewable energy systems These are renewable energy systems that provide power to individual households or facilities that are connected to conventional electric utility grid.

Engel, R. A.; Zoellick, J. J.

2007-06-30T23:59:59.000Z

493

Municipal Utility Districts (Texas)  

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

Municipal Utility Districts, regulated by the Texas Commission on Environmental Quality, may be created for the following purposes: (1) the control, storage, preservation, and distribution of its...

494

Taiwan: An energy sector study  

DOE Green Energy (OSTI)

A study on the economy of Taiwan, with special reference to the energy sector, revealed the following: Taiwan's rapid export-driven economic growth in the 1970s and 1980s has earned them the rank of ''Newly Industrialized Countries.'' Coal reserves measure less than 1 billion tons, and annual output has declined to below 2 million tons per year. Marginal amounts of crude are produced. Natural gas resources have been exploited both on- and offshore, through production amounts to little more than 1 billion cubic meters per year. Domestic hydrocarbon production is forecast to decline. Taiwan prssesses an estimated 5300 mW of exploitable hydropower capacity, of which 2564 mW had been installed by 1986. Taiwan has undertaken a massive program of nuclear power construction in response to the rapid rise in oil prices during the 1970s. Energy demand has risen an average of 9.0 percent per year since 1954, while real GNP has grown 8.6 percent per year. Sine 1980, oil has provided a lower share of total energy demand. Oil demand for transport has continued to grow rapidly. Declining production of domestic natural gas has led Taiwan to initiate LNG imports from Indonesia beginning in 1990. Coal has regained some of its earlier importance in Taiwan's energy structure. With declining domestic production, imports now provide nearly 90 percent of total coal demand. Taiwan is basically self-sufficient in refining capacity. Energy demand is expected to grow 5.4 percent per year through the yeat 2000. With declining output of domestic resources, energy dependency on imports will rise from its current 90 percent level. Government policy recognizes this external dependency and has directed it efforts at diversification of suppliers. 18 refs., 11 figs., 40 tabs.

Johnson, T.; Fridley, D.; Kang, Wu

1988-03-01T23:59:59.000Z

495