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Note: This page contains sample records for the topic "industrial end-use sectors" from the National Library of EnergyBeta (NLEBeta).
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1

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

2

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

3

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

4

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

5

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

6

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

7

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.

8

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 ...

9

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

10

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.

11
13

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

14

The Commercial Facility Industry: End-Use and Facility Equipment  

Science Conference Proceedings (OSTI)

This PQ TechWatch investigates the measures that the commercial facility industry is taking to reduce power quality (PQ) and electromagnetic compatibility (EMC) problems.

2003-12-31T23:59:59.000Z

15

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

SciTech Connect

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

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

1994-08-01T23:59:59.000Z

16

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

17

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

18

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

19

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...

20

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

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


21

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

22

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 ...

23

International industrial sector energy efficiency policies  

SciTech Connect

Over 40 percent of the energy consumed globally is used in the industrial sector. In China, this sector consumes an even larger proportion, reaching nearly 70 percent in 1997. A variety of energy efficiency policies and programs have been instituted in both industrialized and developing countries in an effort to improve the energy efficiency of the industrial sector. There are very few comprehensive evaluations of these industrial sector energy efficiency policies; however a number of recent workshops and conferences have included a focus on these policies. Three important meetings were the International Energy Agency's Industrial Energy Efficiency: Policies and Programs Conference in 1994, Industrial Energy Efficiency Policies: Understanding Success and Failure - A Workshop Organized by the International Network for Energy Demand Analysis in the Industrial Sector in 1998, and the American Council for an Energy-Efficient Economy's 1999 Summer Study on Energy Efficiency in Industry. Man y articles from these meetings are included as attachments to this memo. This paper provides a brief description of each of seven categories of individual industrial energy efficiency policies and programs, discuss which industrial sectors or types of equipment they apply to, and provide references for articles and reports that discuss each policy or program in more detail. We begin with mandatory-type policies and move to more voluntary-type policies. We then provide a brief description of four integrated industrial energy efficiency policies and provide references for articles and reports that describe these policies in greater detail.

Price, Lynn; Worrell, Ernst

2000-01-01T23:59:59.000Z

24

International industrial sector energy efficiency policies  

SciTech Connect

Over 40 percent of the energy consumed globally is used in the industrial sector. In China, this sector consumes an even larger proportion, reaching nearly 70 percent in 1997. A variety of energy efficiency policies and programs have been instituted in both industrialized and developing countries in an effort to improve the energy efficiency of the industrial sector. There are very few comprehensive evaluations of these industrial sector energy efficiency policies; however a number of recent workshops and conferences have included a focus on these policies. Three important meetings were the International Energy Agency's Industrial Energy Efficiency: Policies and Programs Conference in 1994, Industrial Energy Efficiency Policies: Understanding Success and Failure - A Workshop Organized by the International Network for Energy Demand Analysis in the Industrial Sector in 1998, and the American Council for an Energy-Efficient Economy's 1999 Summer Study on Energy Efficiency in Industry. Man y articles from these meetings are included as attachments to this memo. This paper provides a brief description of each of seven categories of individual industrial energy efficiency policies and programs, discuss which industrial sectors or types of equipment they apply to, and provide references for articles and reports that discuss each policy or program in more detail. We begin with mandatory-type policies and move to more voluntary-type policies. We then provide a brief description of four integrated industrial energy efficiency policies and provide references for articles and reports that describe these policies in greater detail.

Price, Lynn; Worrell, Ernst

2000-01-01T23:59:59.000Z

25

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

26

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

27

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

28

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

29

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

30

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

31

Market impacts: Improvements in the industrial sector | ENERGY...  

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

energy performance Communicate energy efficiency Industrial energy management information center Market impacts: Improvements in the industrial sector An effective energy...

32

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

33

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

34

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

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

35

EIA - International Energy Outlook 2009-Industrial Sector Energy  

Gasoline and Diesel Fuel Update (EIA)

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

36

Table 2.4 Industrial Sector Energy Consumption (Trillion Btu)  

U.S. Energy Information Administration (EIA)

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

37

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

Annual Energy Outlook 2012 (EIA)

and 2030 Figure 65. World Industrial Sector Energy Consumption by Major Energy-Intensive Industry Shares, 2005 Figure 66. OECD and Non-OECD Major Steel Producers, 2007 Figure 67....

38

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

39

International industrial sector energy efficiency policies  

E-Print Network (OSTI)

Summer Study on Energy Efficiency in Industry. Washington,1997. “Electric Motor Energy Efficiency Regulations: Theet al. , (eds. ). Energy Efficiency Improvements in Electric

Price, Lynn; Worrell, Ernst

2000-01-01T23:59:59.000Z

40

International industrial sector energy efficiency policies  

E-Print Network (OSTI)

Scheme for Industry: The Energy Audit,” Proceedings of thefacilities conduct energy audits, employ an energy manager,1994), and the mandatory energy audits and energy management

Price, Lynn; Worrell, Ernst

2000-01-01T23:59:59.000Z

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


41

Energy Analysis in the Industrial Sector  

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

dioxide emissions in heavy manufacturing. This talk will focus on the U.S. iron and steel industry, illustrating how it compares internationally and describing the...

42

Evaluation of Efficiency Activities in the Industrial Sector...  

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

industrial sector consumes 25% of theenergy used and emits 28% of the carbon dioxide (CO2) produced in the state. Manycountries around the world have national-level GHG...

43

Agricultural and Industrial Process-Heat-Market Sector workbook  

SciTech Connect

This workbook summarizes the preliminary data and assumptions of the Agricultural and Industrial Process Heat Market Sector prepared in conjunction with the development of inputs for a National Plan for the Accelerated Commercialization of Solar Energy.

Shulman, M. J.; Kannan, N. P.; deJong, D. L.

1980-01-01T23:59:59.000Z

44

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

45

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

46

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,

47

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

E-Print Network (OSTI)

Efficiency Scenario (non-residential sector only) – AssumesIndia: Industry and Non Residential Sectors Jayant Sathaye,and support. The Non Residential sector analysis benefited

Sathaye, Jayant

2011-01-01T23:59:59.000Z

48

Energy productivity in the industrial sector: an econometric analysis  

SciTech Connect

Energy productivity and energy intensity within the industrial sector of the economy are examined. Results suggest that relative prices and other economic factors can explain much of the variation in both energy productivity and energy intensity for manufacturing and mining and for the industrial sector as a whole. Cyclical factors, seasonal factors and trend variables are also useful in explaining variation in these data, both for annual and monthly time series. Of the variables examined, it appears that the relative price of energy is a highly significant factor in accounting for the difference between actual industrial energy intensity and that which might have been expected had pre-1973 trends continued.

Roop, J.M.

1983-01-01T23:59:59.000Z

49

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

50

Quality of Power in the Industrial Sector  

E-Print Network (OSTI)

Industries have added sensitive electrical loads such as computers and electronic equipment to improve efficiency, lower costs and to raise the overall quality of the product being manufactured. With this new technology there is a requirement for a quality of power that has not been available by the electric utility. Sensitive loads cannot tolerate electrical disturbances such as harmonic distortions, overvoltage, undervoltage, momentary interruptions and transients that are inherent in the utility distribution system. The industrial customer turns to the power supplier to provide technical support, monitoring and assistance to upgrade the quality of power into the plant. Even though studies have shown only 20% of the problems identified are actually utility generated it is the responsibility of the utility to help the customer isolate and solve the problem. The motto of the Oklahoma Gas and Electric Quality of Power program is "If a customer perceives he has a problem, we have a problem." The commitment has been made to assist the customer until he is satisfied the problem is in fact solved.

Marchbanks, G. J.

1987-09-01T23:59:59.000Z

51

Greenhouse Gas Programs, Energy Efficiency, and the Industrial Sector  

E-Print Network (OSTI)

The United States has made significant progress in reducing total energy use through energy efficiency improvements over the past decade, yet the United States still ranks as the highest absolute greenhouse gas (GHG) emitter in the world with 23.6 metric tons of carbon dioxide equivalent per capita in 2006. The industrial sector (agriculture is excluded) is responsible for 28.7 percent of the GHG emissions in the U.S. However, the U.S. industrial sector has numerous economically viable opportunities to reduce energy use and GHG emissions. Energy efficiency, including new clean technologies, plays a significant role in increasing productivity and reducing energy intensity, and thus emissions. Increasing energy efficiency in industrial processes is central to addressing climate change issues in the industrial sector. This paper describes the energy-efficiency programs, methodologies, and technologies that can economically lead to significant GHG reductions in the industrial sector. The paper also discusses the impacts of climate change policies and programs to the application of advanced low-carbon industrial technologies.

Zhou, A.; Tutterow, V.; Harris, J.

2009-05-01T23:59:59.000Z

52

Cross-Sector Impact Analysis of Industrial Efficiency Measures  

SciTech Connect

The industrial or manufacturing sector is a foundational component to all economic activity. In addition to being a large direct consumer of energy, the manufacturing sector also produces materials, products, and technologies that influence the energy use of other economic sectors. For example, the manufacturing of a lighter-weight vehicle component affects the energy required to ship that component as well as the fuel efficiency of the assembled vehicle. Many energy efficiency opportunities exist to improve manufacturing energy consumption, however comparisons of manufacturing sector energy efficiency investment opportunities tend to exclude any impacts that occur once the product leaves the factory. Expanding the scope of analysis to include energy impacts across different stages of product life-cycle can highlight less obvious opportunities and inform actions that create the greatest economy-wide benefits. We present a methodology and associated analysis tool (LIGHTEnUP Lifecycle Industry GHgas, Technology and Energy through the Use Phase) that aims to capture both the manufacturing sector energy consumption and product life-cycle energy consumption implications of manufacturing innovation measures. The tool architecture incorporates U.S. national energy use data associated with manufacturing, building operations, and transportation. Inputs for technology assessment, both direct energy saving to the manufacturing sector, and indirect energy impacts to additional sectors are estimated through extensive literature review and engineering methods. The result is a transparent and uniform system of comparing manufacturing and use-phase impacts of technologies.

Morrow, William [Lawrence Berkeley National Laboratory (LBNL); CreskoEngineering, Joe [Oak Ridge Institute for Science and Education (ORISE); Carpenter, Alberta [National Renewable Energy Laboratory (NREL); Masanet, Eric [Northwestern University, Evanston; Nimbalkar, Sachin U [ORNL; Shehabi, Arman [Lawrence Berkeley National Laboratory (LBNL)

2013-01-01T23:59:59.000Z

53

Small Distributed Generation Applications in the Industrial Sector: A Screening Assessment  

Science Conference Proceedings (OSTI)

This report documents a screening assessment of small distributed generation applications in the industrial sector.

2001-12-04T23:59:59.000Z

54

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

55

Analysis of fuel shares in the industrial sector  

SciTech Connect

These studies describe how fuel shares have changed over time; determine what factors are important in promoting fuel share changes; and project fuel shares to the year 1995 in the industrial sector. A general characterization of changes in fuel shares of four fuel types - coal, natural gas, oil and electricity - for the industrial sector is as follows. Coal as a major fuel source declined rapidly from 1958 to the early 1970s, with oil and natural gas substituting for coal. Coal's share of total fuels stabilized after the oil price shock of 1972-1973, and increased after the 1979 price shock. In the period since 1973, most industries and the industrial sector as a whole appear to freely substitute natural gas for oil, and vice versa. Throughout the period 1958-1981, the share of electricity as a fuel increased. These observations are derived from analyzing the fuel share patterns of more than 20 industries over the 24-year period 1958 to 1981.

Roop, J.M.; Belzer, D.B.

1986-06-01T23:59:59.000Z

56

Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 3, Policy Barriers and Investment Decisions in Industry  

E-Print Network (OSTI)

The Capital Formation Challenge Facing the Steel Industry,"National Steel Industry Economics Seminar, Chicago,69-72. Industry ( 5 ) " Steel Industry Ne e d s , " Am e r i

Benenson, Peter

2011-01-01T23:59:59.000Z

57

Evaluation of Efficiency Activities in the Industrial Sector Undertaken in Response to Greenhouse Gas Emission Reduction Targets  

E-Print Network (OSTI)

industrial sectors (Vermeeren, 2008). Steel industry ? TheDutch steel industry implemented 82 energy-saving projectsfoodstuffs, steel, and mining industries are the most

Price, Lynn

2010-01-01T23:59:59.000Z

58

1 New Technologies, Industry Developments and Emission Trends in Key Sectors: The Energy Sector  

E-Print Network (OSTI)

Australia’s total primary energy consumption grew by 3.6 per cent per annum between 1993/94 and 1997/98, while primary energy use in the electricity sector rose by more than 5 per cent per year over the same period. Since 1993/94, brown coal has strongly expanded its share in the fuel mix of the interconnected electricity markets of Victoria, New South Wales, the Australian Capital Territory, and South Australia. It has become the primary fuel source for electricity generation, substituting for hydro, natural gas and hard coal. At the national level, this has meant that the long-term trend towards greater use of natural gas has stalled in favour of coal, especially brown coal. Since Victoria’s brown coal plants have relatively low thermal efficiencies, this substitution has also had the effect of reducing the average thermal efficiency in the power market to the levels of the late 1980s (IEA, 2001b). It should be noted that the economic objective of reducing the price of power which has driven the first stage of reform in the electricity industry in Australia has perversely encouraged the aggregate use of energy in the economy. This, in turn, has added to the growth of greenhouse gas emissions, reinforcing the trend associated with the change in the fuel mix for electricity generation. This paper addresses non-transport energy-related activities including conventional and renewable forms of energy supply, cross-cutting technologies employed in the energy sector and, more briefly, energy use by the business and household sectors.

Ainsley Jolley

2004-01-01T23:59:59.000Z

59

Energy Use and Savings in the Canadian Industrial Sector  

E-Print Network (OSTI)

The changing role of energy as a production input in the industrial sector in Canada is examined. Energy use patterns are reviewed in terms of the energy input types, both purchased and self-produced, the actual energy form and quality requirements, and the residual energy forms, in particular the rejected gaseous and liquid waste heat streams. The trends in the intensity of energy use are examined, in terms of the energy consumed per unit of production output, and relative to the cost of other production inputs. Energy consumption and intensity have been influenced by many factors: energy prices; energy types used; structural composition and product mix; the state of the national economy and international markets, etc. In addition, energy use management with the achievement of optimum economic efficiency of energy use as the objective became an increasing priority for corporate and national energy planning during the 1970's. The potential for saving energy and money, the costs and benefits, are discussed in the light of evidence from a variety of industry and government sources. It appears that the substitution of energy-saving techniques and technologies as a replacement for the use of energy inputs will remain a high priority during the 1980's.

James, B.

1982-01-01T23:59:59.000Z

60

Industrial sector natural gas use rising - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Biofuels: Ethanol & Biodiesel ... Industrial customers form an important gas-use sector, using natural gas for a variety of purposes, including the following:

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


61

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Energy Use in the Steel Industry. Brussels: IISI. Worrell,1998. Energy Use in the Steel Industry. Brussels: IISI. 2.2.1998. Energy Use in the Steel Industry. Brussels: IISI. Best

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

62

Climate VISION: PrivateSector Initiatives: Minerals - Industry...  

Office of Scientific and Technical Information (OSTI)

together to achieve common goals. Industrial minerals - ball clay, bentonite, borates, feldspar, industrial sand, mica, soda ash and talc - are a miraculous gift from times past....

63

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

64

Understanding the Industrial Market Sector: Responding to Changing Energy Markets  

Science Conference Proceedings (OSTI)

Industrial customers, particularly larger industrial customers, have always been an important customer population for energy providers. Because of their sometimes massive size, industrials have often had dedicated account representatives, and even customized rate plans and service delivery structures. As competition in energy markets develops, this population has often been the first customer population to encounter both the benefits and the problems associated with deregulation. It is important to recog...

1999-12-06T23:59:59.000Z

65

Understanding the Industrial Market Sector: Responding to Changing Energy Markets  

Science Conference Proceedings (OSTI)

Industrial customers, particularly larger industrial customers, have always been an important customer population for energy providers. Because of their sometimes massive size, industrials have often had dedicated account representatives, and even customized rate plans and service delivery structures. As competition in energy markets develops, this population has often been the first customer population to encounter both the benefits and the problems associated with deregulation. It is important to recog...

1999-11-30T23:59:59.000Z

66

Industrial sector drives increase in North Dakota electricity ...  

U.S. Energy Information Administration (EIA)

Increased oil and natural gas production in North Dakota has driven the state's growth in industrial demand for electricity. Rising economic activity and population ...

67

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Industry. Brussels: IISI. The best practice coke plant isa modern coke plant using standard technology, includingspeed drives on motors and fans. Coke dry quenching saves an

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

68

Industry sector analysis, Mexico: Annual petroleum report. Export Trade Information  

Science Conference Proceedings (OSTI)

The comprehensive appraisal of the Mexican Petroleum industry was completed in July 1991. Some of the topics concerning the Mexican petroleum industry covered in the Annual Petroleum Report include: exploration efforts, oil reserves, pipelines, refining, finances, transportation, alternative energy sources, and others. The report also contains lists of petrochemicals produced in Mexico and extensive statistics on oil production and export prices.

Not Available

1992-01-01T23:59:59.000Z

69

Deployment of an AEC industry sector product model  

Science Conference Proceedings (OSTI)

CIMsteel Integration Standard, Version 2 (CIS/2) is an industry-developed product model based on ISO-STEP technology that has been widely adopted within the steel construction industry. CIS/2 is an early success story of broad use of a product model ... Keywords: Building model, Product model, STEP

C. Eastman; F. Wang; S. -J. You; D. Yang

2005-10-01T23:59:59.000Z

70

Industrial Sector Energy Demand: Revisions for Non-Energy-Intensive Manufacturing (released in AEO2007)  

Reports and Publications (EIA)

For the industrial sector, EIAs analysis and projection efforts generally have focused on the energy-intensive industriesfood, bulk chemicals, refining, glass, cement, steel, and aluminumwhere energy cost averages 4.8 percent of annual operating cost. Detailed process flows and energy intensity indicators have been developed for narrowly defined industry groups in the energy-intensive manufacturing sector. The non-energy-intensive manufacturing industries, where energy cost averages 1.9 percent of annual operating cost, previously have received somewhat less attention, however. In AEO2006, energy demand projections were provided for two broadly aggregated industry groups in the non-energy-intensive manufacturing sector: metal-based durables and other non-energy-intensive. In the AEO2006 projections, the two groups accounted for more than 50 percent of the projected increase in industrial natural gas consumption from 2004 to 2030.

Information Center

2007-03-11T23:59:59.000Z

71

Current design practice and needs in selected industrial sectors  

Science Conference Proceedings (OSTI)

Consumer Electronics (CE) products range from miniature cameras and MP3 players to advanced media servers and large displays. In the CE industry, Philips is active at two levels. Philips Semiconductors (PS) is active in the OEM market, selling hardware ...

Bruno Bouyssounouse; Joseph Sifakis

2005-01-01T23:59:59.000Z

72

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

Science Conference Proceedings (OSTI)

This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analysis supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

Sathaye, Jayant; de la Rue du Can, Stephane; Iyer, Maithili; McNeil, Michael; Kramer, Klaas Jan; Roy, Joyashree; Roy, Moumita; Chowdhury, Shreya Roy

2011-04-15T23:59:59.000Z

73

Abstract Deployment of an AEC industry sector product model  

E-Print Network (OSTI)

widely adopted within the steel construction industry. CIS/2 is an early success story of broad use of a product model for both data exchange and improving the productivity of those companies taking advantage of its capabilities. Here, we review the history of CIS/2, the methods and issues arising from its deployment, the benefits it has thus far realized and the research issues these activities have identified.

C. Eastman; F. Wang; S. -j. You; D. Yang

2004-01-01T23:59:59.000Z

74

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

75

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)

76

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

77

Energy efficiency programs and policies in the industrial sector in industrialized countries  

E-Print Network (OSTI)

and Renewable Energy (EERE) [2] Office of Industrialthat participate in EERE’s Industries of the Future Program.

Galitsky, Christina; Price, Lynn; Worrell, Ernst

2004-01-01T23:59:59.000Z

78

Energy efficiency programs and policies in the industrial sector in industrialized countries  

E-Print Network (OSTI)

energy efficiency, energy-efficient industrial process technology, energy storage, fuel cells, renewable energy, distributed power generation, and system analysis and policy

Galitsky, Christina; Price, Lynn; Worrell, Ernst

2004-01-01T23:59:59.000Z

79

Energy efficiency programs and policies in the industrial sector in industrialized countries  

E-Print Network (OSTI)

and guidance service. Energy audits and analysis of specificfree comprehensive energy audits or industrial assessments.as a part of the Enterprise Energy Audit Programme (EEAP) of

Galitsky, Christina; Price, Lynn; Worrell, Ernst

2004-01-01T23:59:59.000Z

80

Industry sector analysis - energy industry news (Hungary) 1994. Export trade information  

Science Conference Proceedings (OSTI)

The article is derived from a telegraphic report dated 1 February 1994, prepared at the American Embassy-Budapest. It discusses recent developments from the Hungarian energy industry.

Not Available

1994-02-01T23:59:59.000Z

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


81

Industry sector analysis - energy industry news (Hungary) 1994. Export trade information  

Science Conference Proceedings (OSTI)

The article is derived from a telegraphic report dated 18 April 1994, prepared at the American Embassy-Budapest. It discusses recent developments from the Hungarian energy industry.

Not Available

1994-04-18T23:59:59.000Z

82

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.

83

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

84

Analysis of the industrial sector representation in the Fossil2 energy-economic model  

SciTech Connect

The Fossil2 energy-economic model is used by the US Department of Energy (DOE) for a variety of energy and environmental policy analyses. A number of improvements to the model are under way or are being considered. This report was prepared by the Pacific Northwest Laboratory (PNL) to provide a clearer understanding of the current industrial sector module of Fossil2 and to explore strategies for improving it. The report includes a detailed description of the structure and decision logic of the industrial sector module, along with results from several simulation exercises to demonstrate the behavior of the module in different policy scenarios and under different values of key model parameters. The cases were run with the Fossil2 model at PNL using the National Energy Strategy Actions Case of 1991 as the point of departure. The report also includes a discussion of suggested industrial sector module improvements. These improvements include changes in the way the current model is used; on- and off-line adjustments to some of the model's parameters; and significant changes to include more detail on the industrial processes, technologies, and regions of the country being modeled. The potential benefits and costs of these changes are also discussed.

Wise, M.A.; Woodruff, M.G.; Ashton, W.B.

1992-08-01T23:59:59.000Z

85

Analysis of the industrial sector representation in the Fossil2 energy-economic model  

SciTech Connect

The Fossil2 energy-economic model is used by the US Department of Energy (DOE) for a variety of energy and environmental policy analyses. A number of improvements to the model are under way or are being considered. This report was prepared by the Pacific Northwest Laboratory (PNL) to provide a clearer understanding of the current industrial sector module of Fossil2 and to explore strategies for improving it. The report includes a detailed description of the structure and decision logic of the industrial sector module, along with results from several simulation exercises to demonstrate the behavior of the module in different policy scenarios and under different values of key model parameters. The cases were run with the Fossil2 model at PNL using the National Energy Strategy Actions Case of 1991 as the point of departure. The report also includes a discussion of suggested industrial sector module improvements. These improvements include changes in the way the current model is used; on- and off-line adjustments to some of the model`s parameters; and significant changes to include more detail on the industrial processes, technologies, and regions of the country being modeled. The potential benefits and costs of these changes are also discussed.

Wise, M.A.; Woodruff, M.G.; Ashton, W.B.

1992-08-01T23:59:59.000Z

86

Energy efficiency programs and policies in the industrial sector in industrialized countries  

E-Print Network (OSTI)

4B9B-8A3C0EC058CE647C 17. Energy Efficiency Best Practicedatabase (linked to energy efficiency measures in motors) •in 1980, funds for energy efficiency investments in industry

Galitsky, Christina; Price, Lynn; Worrell, Ernst

2004-01-01T23:59:59.000Z

87

Energy efficiency programs and policies in the industrial sector in industrialized countries  

E-Print Network (OSTI)

and ENERGY STAR’ S Energy Guides for entire industries,as a part of their Energy Guides for “focus” partners.savings manual, an energy management guide, an interactive

Galitsky, Christina; Price, Lynn; Worrell, Ernst

2004-01-01T23:59:59.000Z

88

Assessment of On-Site Power Opportunities in the Industrial Sector  

Science Conference Proceedings (OSTI)

The purpose of this report is to identify the potential for on-site power generation in the U.S. industrial sector with emphasis on nine industrial groups called the ''Industries of the Future'' (IOFs) by the U.S. Department of Energy (DOE). Through its Office of Industrial Technologies (OIT), the DOE has teamed with the IOFs to develop collaborative strategies for improving productivity, global competitiveness, energy usage and environmental performance. Total purchases for electricity and steam for the IOFs are in excess of $27 billion annually. Energy-related costs are very significant for these industries. The nine industrial groups are (1) Agriculture (SIC 1); (2) Forest products; (3) Lumber and wood products (SIC 24); (4) Paper and allied products (SIC 26); (5) Mining (SIC 11, 12, 14); (6) Glass (SIC 32); (7) Petroleum (SIC 29); (8) Chemicals (SIC 28); and (9) Metals (SIC 33): Steel, Aluminum, and Metal casting. Although not currently part of the IOF program, the food industry is included in this report because of its close relationship to the agricultural industry and its success with on-site power generation. On-site generation provides an alternative means to reduce energy costs, comply with environmental regulations, and ensure a reliable power supply. On-site generation can ease congestion in the local utility's electric grid. Electric market restructuring is exacerbating the price premium for peak electricity use and for reliability, creating considerable market interest in on-site generation.

Bryson, T.

2001-10-08T23:59:59.000Z

89

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

90

Analysis of energy use in building services of the industrial sector in California: Two case studies  

SciTech Connect

Energy-use patterns in many of California's fastest-growing industries are not typical of the existing mix of industries in the US. Many California firms operate small- and medium-sized facilities housed in buildings used simultaneously or interchangeably over time for commercial (office, retail, warehouse) and industrial activities. In these industrial subsectors, the energy required for building services (providing occupant comfort and necessities like lighting, HVAC, office equipment, computers, etc.) may be at least as important as the more familiar process energy requirements -- especially for electricity and on-peak demand. Electricity for building services is sometimes priced as if it were base loaded like process uses; in reality this load varies significantly according to occupancy schedules and cooling and heating loads, much as in any commercial building. Using informal field surveys, simulation studies, and detailed analyses of existing data (including utility commercial/industrial audit files), we studied the energy use of this industrial subsector through a multi-step procedure: (1) characterizing non-process building energy and power use in California industries, (2) identifying conservation and load-shaping opportunities in industrial building services, and (3) investigating industrial buildings and system design methodologies. In an earlier report, we addressed these issues by performing an extensive survey of the existing publicly available data, characterizing and comparing the building energy use in this sector. In this report, we address the above objectives by examining and analyzing energy use in two industrial case-study facilities in California. Based on the information for the case studies, we discuss the design consideration for these industrial buildings, characterize their energy use, and review their conservation and load-shaping potentials. In addition, we identify and discuss some research ideas for further investigation.

Akbari, H.; Sezgen, O.

1991-09-01T23:59:59.000Z

91

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

92

ENERGY STAR Snapshot: Measuring Progress in the Commercial and Industrial Sectors, Spring 2008.  

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

Measuring Progress in the Commercial and Industrial Sectors Spring 2008 Introduction Through 2007, commercial and industrial (C&I) leaders have made unprecedented progress in their efforts to improve energy efficiency and reduce greenhouse gas emissions across their buildings and facilities. This includes: y Hundreds of organizations and individuals stepping forward to take the ENERGY STAR Challenge to improve the energy efficiency of America's buildings by 10 percent or more y Measuring the energy performance in tens of thousands of buildings y Achieving energy savings across millions of square feet y Designating more than 4,000 efficient buildings and facilities with the ENERGY STAR label ENERGY STAR partners are building tremendous momentum for energy efficiency and seeing important

93

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

E-Print Network (OSTI)

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

Mallika N; John Nyboer; Mark Jaccard

1999-01-01T23:59:59.000Z

94

" 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"

95

Evaluation of Efficiency Activities in the Industrial Sector Undertaken in Response to Greenhouse Gas Emission Reduction Targets  

Science Conference Proceedings (OSTI)

The 2006 California Global Warming Solutions Act calls for reducing greenhouse gas (GHG) emissions to 1990 levels by 2020. Meeting this target will require action from all sectors of the California economy, including industry. The industrial sector consumes 25% of the energy used and emits 28% of the carbon dioxide (CO{sub 2}) produced in the state. Many countries around the world have national-level GHG reduction or energy-efficiency targets, and comprehensive programs focused on implementation of energy efficiency and GHG emissions mitigation measures in the industrial sector are essential for achieving their goals. A combination of targets and industry-focused supporting programs has led to significant investments in energy efficiency as well as reductions in GHG emissions within the industrial sectors in these countries. This project has identified program and policies that have effectively targeted the industrial sector in other countries to achieve real energy and CO{sub 2} savings. Programs in Ireland, France, The Netherlands, Denmark, and the UK were chosen for detailed review. Based on the international experience documented in this report, it is recommended that companies in California's industrial sector be engaged in a program to provide them with support to meet the requirements of AB32, The Global Warming Solution Act. As shown in this review, structured programs that engage industry, require members to evaluate their potential efficiency measures, plan how to meet efficiency or emissions reduction goals, and provide support in achieving the goals, can be quite effective at assisting companies to achieve energy efficiency levels beyond those that can be expected to be achieved autonomously.

Price, Lynn; de la Rue du Can, Stephane; Lu, Hongyou; Horvath, Arpad

2010-05-21T23:59:59.000Z

96

Electric Power Interruption Cost Estimates for Individual Industries, Sectors, and the U.S. Economy  

E-Print Network (OSTI)

Distributed energy resources (DER) have been promoted as the least-cost approach to meeting steadily increasing energy demand. However, it is unclear whether DER deployment can maintain or improve the electric power supply reliability and quality currently available to consumers. This report address two key factors relating to this question: 1) characteristics of existing power supply reliability, and 2) costs resulting from supply interruptions characteristic of the existing power grid. Interruption cost data collected by the University of Saskatchewan was used in conjunction with data generated by the Census Bureau’s Annual Survey of Manufacturers (Census Bureau, 1995), along with industry shares of gross domestic product (Bureau of Economic Analysis, 1995a) and gross output (Bureau of Economic Analysis, 1995b) to derive interruption cost estimates for U.S. industries at the 2-digit Standard Industrial Classification (SIC) level, as well as for broader sectors and the U.S. economy. Interruption cost estimates are presented as a function of outage duration (e.g., 20 minutes, 1-hour, 3-hour), and are normalized in terms of dollars per peak kW.

Balducci, P. J.; Roop, J. M.; Schienbein, L. A.; DeSteese, J. G.; Weimar, M. R.

2003-05-01T23:59:59.000Z

97

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

98

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

99

World Best Practice Energy Intensity Values for SelectedIndustrial Sectors  

SciTech Connect

"World best practice" energy intensity values, representingthe most energy-efficient processes that are in commercial use in atleast one location worldwide, are provided for the production of iron andsteel, aluminium, cement, pulp and paper, ammonia, and ethylene. Energyintensity is expressed in energy use per physical unit of output for eachof these commodities; most commonly these are expressed in metric tonnes(t). The energy intensity values are provided by major energy-consumingprocesses for each industrial sector to allow comparisons at the processlevel. Energy values are provided for final energy, defined as the energyused at the production facility as well as for primary energy, defined asthe energy used at the production facility as well as the energy used toproduce the electricity consumed at the facility. The "best practice"figures for energy consumption provided in this report should beconsidered as indicative, as these may depend strongly on the materialinputs.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky,Christina; Zhou, Nan

2007-06-05T23:59:59.000Z

100

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

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


101

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

102

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

103

" 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"

104

" 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)"

105

" 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

106

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

107

,"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...

108

,"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...

109

,"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...

110

,"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...

111

,"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...

112

,"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...

113

,"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...

114

,"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...

115

,"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...

116

,"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...

117

,"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...

118

,"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...

119

,"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...

120

,"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...

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


121

,"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...

122

,"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...

123

,"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...

124

,"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...

125

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

126

EIA - 2010 International Energy Outlook - Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial International Energy Outlook 2010 Industrial Sector Energy Consumption Worldwide industrial energy consumption increases by 42 percent, or an average of 1.3 percent per year, from 2007 to 2035 in the IEO2010 Reference case. Ninety-five percent of the growth occurs in non-OECD nations. Overview The world's industries make up a diverse sector that includes manufacturing, agriculture, mining, and construction. Industrial energy demand varies across regions and countries, depending on the level and mix of economic activity and technological development, among other factors. Energy is consumed in the industrial sector for a wide range of activities, such as processing and assembly, space conditioning, and lighting. Industrial energy use also includes natural gas and petroleum products used as feedstocks to produce non-energy products, such as plastics. In aggregate, the industrial sector uses more energy than any other end-use sector, consuming about one-half of the world's total delivered energy.

127

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

Science Conference Proceedings (OSTI)

Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

Sathaye, J.; Xu, T.; Galitsky, C.

2010-08-15T23:59:59.000Z

128

A State Regulator's View of 'PURPA' And Its Impact on Energy Conservation in the Industrial Sector  

E-Print Network (OSTI)

The purpose of my comments this afternoon is to share with you my views concerning the status of the Public Utility Regulatory Policies Act (PURPA), and how some of the rate standards contained in the Act may affect energy conservation in the industrial sector. As most of you are aware, there currently is a great deal of uncertainty regarding the status of PURPA. In the case of the State of Mississippi vs. the Federal Energy Regulatory Commission, Judge Harold Cox issued a summary judgment on February 19, 1981. In his decision he ruled PURPA was an unconstitutional intrusion into an area traditionally left to the states and that there was no express authorization for the federal government to regulate public utilities. In the final judgment rendered February 27, 1981, he ruled that Title One, Section 210 of Title Two and Title Three were unconstitutional. The case currently is now on appeal to the U.S. Supreme Court. As of yet, no date has been set for arguments and no action is expected before the November 1981 hearing deadline.

Williams, M. L.

1981-01-01T23:59:59.000Z

129

,"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...

130

,"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...

131

,"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...

132

,"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...

133

,"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...

134

,"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...

135

,"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...

136

,"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...

137

,"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...

138

,"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...

139

,"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...

140

,"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...

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


141

,"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...

142

,"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...

143

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

144

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.

145

Nuclear Energy R&D Imperative 3: Enable a Transition Away from Fossil Fuel in the Transportation and Industrial Sectors  

DOE Green Energy (OSTI)

As described in the Department of Energy Office of Nuclear Energy’s Nuclear Energy R&D Roadmap, nuclear energy can play a significant role in supplying energy for a growing economy while reducing both our dependence on foreign energy supplies and emissions from the burning of fossil fuels. The industrial and transportation sectors are responsible for more than half of the greenhouse gas emissions in the U.S., and imported oil supplies 70% of the energy used in the transportation sector. It is therefore important to examine the various ways nuclear energy can facilitate a transition away from fossil fuels to secure environmentally sustainable production and use of energy in the transportation and manufacturing industry sectors. Imperative 3 of the Nuclear Energy R&D Roadmap, entitled “Enable a Transition Away from Fossil Fuels by Producing Process Heat for use in the Transportation and Industrial Sectors”, addresses this need. This document presents an Implementation Plan for R&D efforts related to this imperative. The expanded use of nuclear energy beyond the electrical grid will contribute significantly to overcoming the three inter-linked energy challenges facing U.S. industry: the rising and volatile prices for premium fossil fuels such as oil and natural gas, dependence on foreign sources for these fuels, and the risks of climate change resulting from carbon emissions. Nuclear energy could be used in the industrial and transportation sectors to: • Generate high temperature process heat and electricity to serve industrial needs including the production of chemical feedstocks for use in manufacturing premium fuels and fertilizer products, • Produce hydrogen for industrial processes and transportation fuels, and • Provide clean water for human consumption by desalination and promote wastewater treatment using low-grade nuclear heat as a useful additional benefit. Opening new avenues for nuclear energy will significantly enhance our nation’s energy security through more effective utilization of our country’s resources while simultaneously providing economic stability and growth (through predictable energy prices and high value jobs), in an environmentally sustainable and secure manner (through lower land and water use, and decreased byproduct emissions). The reduction in imported oil will also increase the retention of wealth within the U.S. economy while still supporting economic growth. Nuclear energy is the only non-fossil fuel that has been demonstrated to reliably supply energy for a growing industrial economy.

David Petti; J. Stephen Herring

2010-03-01T23:59:59.000Z

146

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

147

Analysis of energy use in building services of the industrial sector in California: Two case studies. Final report  

SciTech Connect

Energy-use patterns in many of California`s fastest-growing industries are not typical of the existing mix of industries in the US. Many California firms operate small- and medium-sized facilities housed in buildings used simultaneously or interchangeably over time for commercial (office, retail, warehouse) and industrial activities. In these industrial subsectors, the energy required for building services (providing occupant comfort and necessities like lighting, HVAC, office equipment, computers, etc.) may be at least as important as the more familiar process energy requirements -- especially for electricity and on-peak demand. Electricity for building services is sometimes priced as if it were base loaded like process uses; in reality this load varies significantly according to occupancy schedules and cooling and heating loads, much as in any commercial building. Using informal field surveys, simulation studies, and detailed analyses of existing data (including utility commercial/industrial audit files), we studied the energy use of this industrial subsector through a multi-step procedure: (1) characterizing non-process building energy and power use in California industries, (2) identifying conservation and load-shaping opportunities in industrial building services, and (3) investigating industrial buildings and system design methodologies. In an earlier report, we addressed these issues by performing an extensive survey of the existing publicly available data, characterizing and comparing the building energy use in this sector. In this report, we address the above objectives by examining and analyzing energy use in two industrial case-study facilities in California. Based on the information for the case studies, we discuss the design consideration for these industrial buildings, characterize their energy use, and review their conservation and load-shaping potentials. In addition, we identify and discuss some research ideas for further investigation.

Akbari, H.; Sezgen, O.

1991-09-01T23:59:59.000Z

148

Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector  

Science Conference Proceedings (OSTI)

Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. With the working of energy programs and policies on carbon regulation, how to effectively analyze and manage the costs associated with GHG reductions become extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions (e.g., carbon emission) for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models. In this report, we first conduct brief overview on different representations of end-use technologies (mitigation measures) in various energy-climate models, followed by problem statements, and a description of the basic concepts of quantifying the cost of conserved energy including integrating non-regrets options. A non-regrets option is defined as a GHG reduction option that is cost effective, without considering their additional benefits related to reducing GHG emissions. Based upon these, we develop information on costs of mitigation measures and technological change. These serve as the basis for collating the data on energy savings and costs for their future use in integrated assessment models. In addition to descriptions of the iron and steel making processes, and the mitigation measures identified in this study, the report includes tabulated databases on costs of measure implementation, energy savings, carbon-emission reduction, and lifetimes. The cost curve data on mitigation measures are available over time, which allows an estimation of technological change over a decade-long historical period. In particular, the report will describe new treatment of technological change in energy-climate modeling for this industry sector, i.e., assessing the changes in costs and energy-savings potentials via comparing 1994 and 2002 conservation supply curves. In this study, we compared the same set of mitigation measures for both 1994 and 2002 -- no additional mitigation measure for year 2002 was included due to unavailability of such data. Therefore, the estimated potentials in total energy savings and carbon reduction would most likely be more conservative for year 2002 in this study. Based upon the cost curves, the rate of change in the savings potential at a given cost can be evaluated and be used to estimate future rates of change that can be the input for energy-climate models. Through characterizing energy-efficiency technology costs and improvement potentials, we have developed and presented energy cost curves for energy efficiency measures applicable to the U.S. iron and steel industry for the years 1994 and 2002. The cost curves can change significantly under various scenarios: the baseline year, discount rate, energy intensity, production, industry structure (e.g., integrated versus secondary steel making and number of plants), efficiency (or mitigation) measures, share of iron and steel production to which the individual measures can be applied, and inclusion of other non-energy benefits. Inclusion of other non-energy benefits from implementing mitigation measures can reduce the costs of conserved energy significantly. In addition, costs of conserved energy (CCE) for individual mitigation measures increase with the increases in discount rates, resulting in a general increase in total cost of mitigation measures for implementation and operation with a higher discount rate. In 1994, integrated steel mills in the U.S. produced 55.

Xu, T.T.; Sathaye, J.; Galitsky, C.

2010-09-30T23:59:59.000Z

149

Reinventing VAT collection : industry vertical assessment, revenue increase, and public sector reliability  

E-Print Network (OSTI)

This dissertation shows how administrative reforms of the State Tax Administration Bureaus (STABs) in Brazil between 1997 and 2005 contributed to strengthening public sector bureaucracies and institutions at the sub-national ...

Pinhanez, Monica F. (Monica Fornitani)

2008-01-01T23:59:59.000Z

150

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

151

Future Public Policy and Ethical Issues Facing the Agricultural and Microbial Genomics Sectors of the Biotechnology Industry: A Roundtable Discussion  

SciTech Connect

On September 12, 2003, the University of Maryland School of Law's Intellectual Property and Law & Health Care Programs jointly sponsored and convened a roundtable discussion on the future public policy and ethical issues that will likely face the agricultural and microbial genomics sectors of the biotechnology industry. As this industry has developed over the last two decades, societal concerns have moved from what were often local issues, e.g., the safety of laboratories where scientists conducted recombinant DNA research on transgenic microbes, animals and crops, to more global issues. These newer issues include intellectual property, international trade, risks of genetically engineered foods and microbes, bioterrorism, and marketing and labeling of new products sold worldwide. The fast paced nature of the biotechnology industry and its new developments often mean that legislators, regulators and society, in general, must play ''catch up'' in their efforts to understand the issues, the risks, and even the benefits, that may result from the industry's new ways of conducting research, new products, and novel methods of product marketing and distribution. The goal of the roundtable was to develop a short list of the most significant public policy and ethical issues that will emerge as a result of advances in these sectors of the biotechnology industry over the next five to six years. More concretely, by ''most significant'' the conveners meant the types of issues that would come to the attention of members of Congress or state legislators during this time frame and for which they would be better prepared if they had well researched and timely background information. A concomitant goal was to provide a set of focused issues for academic debate and scholarship so that policy makers, industry leaders and regulators would have the intellectual resources they need to better understand the issues and concerns at stake. The goal was not to provide answers to any of the issues or problems, simply to identify those topics that deserve our attention as a society. Some of the issues may benefit from legislation at the federal or state levels, others may be more appropriately addressed by the private sector. Participants at the roundtable included over a dozen experts in the areas of microbiology, intellectual property, agricultural biotechnology, microbial genomics, bioterrorism, economic development, biotechnology research, and bioethics. These experts came from federal and state government, industry and academia. The participants were asked to come to the roundtable with a written statement of the top three to five public policy/ ethical issues they viewed as most likely to be significant to the industry and to policy makers over the next several years.

Diane E. Hoffmann

2003-09-12T23:59:59.000Z

152

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.

153

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,

154

Industry  

Science Conference Proceedings (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

155

Profile of the wood furniture and fixtures industry. EPA Office of Compliance sector notebook project  

Science Conference Proceedings (OSTI)

The furniture and fixtures industry encompasses companies that manufacture household, office, store, public building, and restaurant furniture and fixtures. The second section provides background information on the size, geographic distribution, employment, production, sales, and economic condition of the Wood Furniture and Fixtures industry. The type of facilities described within the document are also described in terms of their Standard Industrial Classification (SIC) codes. Additionally, this section contains a list of the largest companies in terms of sales.

NONE

1995-09-01T23:59:59.000Z

156

Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors  

E-Print Network (OSTI)

9 Table 4. International Estimates of Energy Consumption in16 Table 10. Industrial energy consumption, India in 2003-25. India Specific energy consumption, including feedstock (

Sathaye, Jayant

2011-01-01T23:59:59.000Z

157

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

158

Accelerating technology transfer from federal laboratories to the private sector by industrial R and D collaborations - A new business model  

Science Conference Proceedings (OSTI)

Many important products and technologies were developed in federal laboratories and were driven initially by national needs and for federal applications. For example, the clean room technology that enhanced the growth of the semiconductor industry was developed at Sandia National Laboratories (SNL) decades ago. Similarly, advances in micro-electro-mechanical-systems (MEMS)--an important set of process technologies vital for product miniaturization--are occurring at SNL. Each of the more than 500 federal laboratories in the US, are sources of R and D that contributes to America's economic vitality, productivity growth and, technological innovation. However, only a fraction of the science and technology available at the federal laboratories is being utilized by industry. Also, federal laboratories have not been applying all the business development processes necessary to work effectively with industry in technology commercialization. This paper addresses important factors that federal laboratories, federal agencies, and industry must address to translate these under utilized technologies into profitable products in the industrial sector.

LOMBANA,CESAR A.; ROMIG JR.,ALTON D.; LINTON,JONATHAN D.; MARTINEZ,J. LEONARD

2000-04-13T23:59:59.000Z

159

Current and future industrial energy service characterizations  

DOE Green Energy (OSTI)

Current and future energy demands, end uses, and cost used to characterize typical applications and resultant services in the industrial sector of the United States and 15 selected states are examined. A review and evaluation of existing industrial energy data bases was undertaken to assess their potential for supporting SERI research on: (1) market suitability analysis, (2) market development, (3) end-use matching, (3) industrial applications case studies, and (4) identification of cost and performance goals for solar systems and typical information requirements for industrial energy end use. In reviewing existing industrial energy data bases, the level of detail, disaggregation, and primary sources of information were examined. The focus was on fuels and electric energy used for heat and power purchased by the manufacturing subsector and listed by 2-, 3-, and 4-digit SIC, primary fuel, and end use. Projections of state level energy prices to 1990 are developed using the energy intensity approach. The effects of federal and state industrial energy conservation programs on future industrial sector demands were assessed. Future end-use energy requirements were developed for each 4-digit SIC industry and were grouped as follows: (1) hot water, (2) steam (212 to 300/sup 0/F, each 100/sup 0/F interval from 300 to 1000/sup 0/F, and greater than 1000/sup 0/F), and (3) hot air (100/sup 0/F intervals). Volume I details the activities performed in this effort.

Krawiec, F.; Thomas, T.; Jackson, F.; Limaye, D.R.; Isser, S.; Karnofsky, K.; Davis, T.D.

1980-10-01T23:59:59.000Z

160

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

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


161

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

162

Public/private sector cooperation to promote industrial energy efficiency: Allied partners and the US Department of Energy  

Science Conference Proceedings (OSTI)

Since 1996, the US Department of Energy's Office of Industrial Technologies (USDOE) has been involved in a unique voluntary collaboration with industry called the Allied Partner program. Initially developed under the Motor Challenge program, the partnership concept continues as a central element of USDOE's BestPractices, which in 2001 integrated all of USDOE's near-term industrial program offerings including those in motors, compressed air, pump, fan, process heating and steam systems. Partnerships are sought with end use industrial companies as well as equipment suppliers and manufacturers, utilities, consultants, and state agencies that have extensive existing relationships with industrial customers. Partners are neither paid nor charged a fee for participation. Since the inception of Allied Partners, the assumption has been that these relationships could serve as the foundation for conveying a system energy-efficiency message to many more industrial facilities than could be reached through a typical government-to-end-user program model. An independent evaluation of the Motor Challenge program, reported at the last EEMODS conference, attributed US $16.9 million or nearly 67 percent of the total annual program energy savings to the efforts of Allied Partners in the first three years of operation. A recent evaluation of the Compressed Air Challenger, which grew out of the former Motor Challenger program, attribute additional energy savings from compressed air training alone at US $12.1 million per year. Since the reorganization under BestPractices, the Allied Partner program has been reshaped to extend the impact of all BestPractices program activities. This new model is more ambitious than the former Motor Challenge program concerning the level of collaborative activities negotiated with Allied Partners. This paper describes in detail two new types of program initiatives involving Allied Partners: Qualified Specialist Training and Energy Events. The Qualified Specialist activity was conceived as a way of engaging the supply side of industry, consultants, and utilities to greatly increase use of decision making software developed by USDOE to assist industrial facilities in assessing the energy efficiency of their energy-using systems. To date, USDOE has launched Qualified Specialist training with member companies of the Hydraulic Institute (HI) and with distributors and consultants associated with the Compressed Air Challenge. These activities train and qualify industry professionals to use and to train customers to use USDOE's Pumping System Assessment Tool (PSAT) and AIRMaster + software programs, respectively. The industry experts provide a public benefit by greatly increasing customer access to the software and assessment techniques. Participating Specialists anticipate a business benefit by providing a valuable service to key customers that is associated with USDOE. The Energy Event concept was developed in 2001 in cooperation with the California Energy Commission in response to the state's energy crisis and has been extended to other geographic areas during 2002. The three California events, named ''Energy Solutions for California Industry,'' relied on Allied Partners to provide system-based solutions to industrial companies as both speakers and exhibitors. These one-day events developed a model for a serious solutions-oriented format that avoids the typical trade show atmosphere through strict exhibitor guidelines, careful screening of speaker topics, and reliance on case studies to illustrate cost- and energy-saving opportunities from applying a systems approach. Future plans to use this activity model are discussed as well as lessons learned from the California series.

McKane, Aimee; Cockrill, Chris; Tutterow, Vestal; Radspieler, Anthony

2003-05-18T23:59:59.000Z

163

Model documentation report: Industrial sector demand module of the national energy modeling system  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

NONE

1998-01-01T23:59:59.000Z

164

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,...

165

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.)...

166

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

167

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,...

168

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.

169

Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors  

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

July 20, 2010 July 20, 2010 1 FACT SHEET: THE GLOBAL SUPERIOR ENERGY PERFORMANCE PARTNERSHIP At the Clean Energy Ministerial in Washington, D.C. on July 19 th and 20 th , ministers launched a new public- private partnership to accelerate energy efficiency improvements in commercial buildings and industrial facilities, which together account for almost 60 percent of global energy use. The Global Superior Energy Performance (GSEP) Partnership will cut energy use, reduce greenhouse gas emissions and pollution, save money, and create

170

Maine Natural Gas Consumption by End Use  

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

1,025 NA NA 411 290 288 1989-2013 Industrial 2,477 2,442 1,948 2,155 2,111 2,221 2001-2013 Vehicle Fuel 0 0 0 0 0 0 2010-2013 Electric Power 1,270 1,779 1,657 1,383 1,775 2,18...

171

Iowa Natural Gas Consumption by End Use  

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

7,141 4,376 2,454 1,770 1,735 1989-2013 Industrial 14,103 15,326 13,493 13,477 13,182 12,556 2001-2013 Vehicle Fuel 0 0 0 0 0 0 2010-2013 Electric Power 739 748 529 836 745 2,273...

172

Florida Natural Gas Consumption by End Use  

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

4,424 4,002 4,172 1989-2013 Industrial 8,641 9,567 8,625 8,821 7,645 7,714 2001-2013 Vehicle Fuel 5 6 6 6 6 6 2010-2013 Electric Power 75,875 77,927 79,903 86,424 96,667...

173

Illinois Natural Gas Consumption by End Use  

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

7,454 7,492 1989-2013 Industrial 26,585 27,944 23,016 20,312 20,031 19,639 2001-2013 Vehicle Fuel 26 29 28 29 28 29 2010-2013 Electric Power 2,838 5,507 4,738 4,315 3,534...

174

Hawaii Natural Gas Consumption by End Use  

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

50 48 49 50 50 47 1989-2013 Commercial 151 143 151 164 159 160 1989-2013 Industrial 28 26 42 37 33 30 2001-2013 Vehicle Fuel 0 0 0 0 0 0 2010-2013 Electric Power -- -- -- -- -- --...

175

Countries Launch Initiative to Drive Energy Efficiency in the Commercial and Industrial Sectors  

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

Updated on July 23, 2010 Updated on July 23, 2010 1 FACT SHEET: THE GLOBAL SUPERIOR ENERGY PERFORMANCE PARTNERSHIP At the Clean Energy Ministerial in Washington, D.C. on July 19 th and 20 th , ministers launched a new public- private partnership to accelerate energy efficiency improvements in commercial buildings and industrial facilities, which together account for almost 60 percent of global energy use. The Global Superior Energy Performance (GSEP) Partnership will cut energy use, reduce greenhouse gas emissions and pollution, save money, and create

176

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.

177

Economic and environmental impacts of the corn grain ethanol industry on the United States agricultural sector  

Science Conference Proceedings (OSTI)

This study evaluated the impacts of increased ethanol production from corn starch on agricultural land use and the environment in the United States. The Policy Analysis System simulation model was used to simulate alternative ethanol production scenarios for 2007 through 2016. Results indicate that increased corn ethanol production had a positive effect on net farm income and economic wellbeing of the US agricultural sector. In addition, government payments to farmers were reduced because of higher commodity prices and enhanced net farm income. Results also indicate that if Conservation Reserve Program land was converted to crop production in response to higher demand for ethanol in the simulation, individual farmers planted more land in crops, including corn. With a larger total US land area in crops due to individual farmer cropping choices, total US crop output rose, which decreased crop prices and aggregate net farm income relative to the scenario where increased ethanol production happened without Conservation Reserve Program land. Substantial shifts in land use occurred with corn area expanding throughout the United States, especially in the traditional corn-growing area of the midcontinent region.

Larson, J.A.; English, B.C.; De La Torre Ugarte, D. G.; Menard, R.J.; Hellwinckel, C.M.; West, Tristram O.

2010-09-10T23:59:59.000Z

178

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

179

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

180

Kentucky Natural Gas Consumption by End Use  

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

5,238 2,181 1,275 1,115 NA 1989-2013 Industrial 10,024 10,520 9,243 8,662 8,083 7,801 2001-2013 Vehicle Fuel 0 0 0 0 0 0 2010-2013 Electric Power 837 2,060 1,486 1,717 950 2,873...

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


181

Idaho Natural Gas Consumption by End Use  

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

2,202 1,743 1,281 813 681 630 1989-2013 Industrial 2,480 2,496 2,294 2,297 2,177 1,930 2001-2013 Vehicle Fuel 6 7 7 7 7 7 2010-2013 Electric Power 1,246 1,645 801 1,155 1,628 2,945...

182

Connecticut Natural Gas Consumption by End Use  

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

NA 5,548 3,562 2,093 1,925 1,989 1989-2013 Industrial NA NA NA 2,170 1,910 2,045 2001-2013 Vehicle Fuel 4 4 4 4 4 4 2010-2013 Electric Power 8,519 9,143 8,518 9,607 8,698 11,622...

183

Comparison Study of Energy Intensity in the Textile Industry: A Case Study in Five Textile Sub-sectors  

E-Print Network (OSTI)

This paper contributes to the understanding of energy use in the textile industry by comparing the energy intensity of textile plants in five major sub-sectors, i.e. spinning, weaving, wet-processing, worsted fabric manufacturing, and carpet manufacturing in Iran. Results of the study showed that spinning plant electricity intensity varies between 3.6 MWh/tonne yarn and 6.6 MWh/tonne yarn, while fuel intensity ranges between 6.7 MBtu/tonne yarn and 11.7 MBtu/tonne yarn. In weaving plants, electricity intensity ranges from 1.2 MWh/tonne fabric to 2.2 MWh/tonne fabric, while fuel intensity was 10.1 MBtu/tonne fabric and 16.4 MBtu/tonne fabric for the two plants studied. In three wet-processing plants, the electricity intensity was found to be between 1.5 MWh/tonne finished fabric and 2.5 MWh/tonne finished fabric, while the fuel intensity was between 38.2 MBtu/tonne finished fabric and 106.3 MBtu/tonne finished fabric. In addition, some methodological issues to improve such energy intensity comparison analysis and benchmarking in the textile industry is discussed.

Hasanbeigi, A.

2011-01-01T23:59:59.000Z

184

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

185

Estudio de la relación proveedor - productor en la gestión de materiales del sector farmacéutico industrial productivo (STIP) de la ciudad de Bogotá / Study supplier – producer relationship in the materials management in the pharmaceutical supply chain at Bogotá.  

E-Print Network (OSTI)

??Gallo Castro, Jhon Jairo (2009) Estudio de la relación proveedor - productor en la gestión de materiales del sector farmacéutico industrial productivo (STIP) de la… (more)

Gallo Castro, Jhon Jairo

2009-01-01T23:59:59.000Z

186

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

187

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

1972. In the food industry, electricity for lights and HVACof the Electronics Industry electricity. Motors require fromand Meat Packing Industries, electricity use intensity for

Akbari, H.

2008-01-01T23:59:59.000Z

188

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

189

" 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)"

190

" 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"

191

" 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"

192

" 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)"

193

" 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"

194

" 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"

195

" 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"

196

" 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"

197

Emerging energy-efficient industrial technologies  

E-Print Network (OSTI)

an existing Market Information: Industries End-use(s) EnergyGas Boiler Market Information: Industries End-use(s) Energyelectricity Market Information: Industries End-use(s) Energy

2000-01-01T23:59:59.000Z

198

Emerging energy-efficient industrial technologies  

E-Print Network (OSTI)

Market Information: Industries End-use(s) Energy typesNotes Market Information: Industries End-use(s) Energy typesNotes Market Information: Industries End-use(s) Energy types

2000-01-01T23:59:59.000Z

199

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

200

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

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


201

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.

202

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.

203

Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 1: Part 1, Electricity supply sector; Part 2, Residential and commercial buildings sector; Part 3, Industrial sector  

Science Conference Proceedings (OSTI)

DOE encourages you to report your achievements in reducing greenhouse gas emissions and sequestering carbon under this program. Global climate change is increasingly being recognized as a threat that individuals and organizations can take action against. If you are among those taking action, reporting your projects may lead to recognition for you, motivation for others, and synergistic learning for the global community. This report discusses the reporting process for the voluntary detailed guidance in the sectoral supporting documents for electricity supply, residential and commercial buildings, industry, transportation, forestry, and agriculture. You may have reportable projects in several sectors; you may report them separately or capture and report the total effects on an entity-wide report.

Not Available

1994-10-01T23:59:59.000Z

204

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

205

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

206

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

207

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

non-energy benefits, U.S. steel industry (Worrell et al.improvements in U.S. iron and steel industry (Worrell et al.for the U.S. iron and steel industry in 1994 (Figure 1).

Sathaye, J.

2011-01-01T23:59:59.000Z

208

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

in that sector went for space conditioning and lighting. Ourmay dramatically affect space conditioning requirements. BAHpurchased energy use for space conditioning and lighting in

Akbari, H.

2008-01-01T23:59:59.000Z

209

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

St. Louis, Missouri. Energy Technology Support Unit (ETSU),de Beer, 1997. "Energy Efficient Technologies in Industry -and MAIN, 1993. “Energy Technology in the Cement Industrial

Sathaye, J.

2011-01-01T23:59:59.000Z

210

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

211

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

212

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.

213

Industry  

E-Print Network (OSTI)

from refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processes

Bernstein, Lenny

2008-01-01T23:59:59.000Z

214

" 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"

215

" 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"

216

" 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"

217

" 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"

218

" 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"

219

" 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)"

220

" 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)"

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


221

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...

222

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 ...

223

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 ...

224

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

225

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...

226

,"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...

227

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...

228

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

Cement Industry, An Energy Perspective", U.S. Department ofCost of Conserved Final Energy (US$/GJ) Final CCE includingwithout including non-energy benefits, U.S. steel industry (

Sathaye, J.

2011-01-01T23:59:59.000Z

229

Industry  

E-Print Network (OSTI)

oxide emission reductions in industry in the EU. Europeanissues: Annual survey of industries. Central StatisticalDesiccated coconut industry of Sri- Lanka’s opportunities

Bernstein, Lenny

2008-01-01T23:59:59.000Z

230

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

231

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

232

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

233

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

234

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

235

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

236

Evaluation of Efficiency Activities in the Industrial Sector Undertaken in Response to Greenhouse Gas Emission Reduction Targets  

E-Print Network (OSTI)

Equipment and Sustainable Energy. http://www.senternovem.nl/Industries Association. Sustainable Energy Ireland (SEI),Report_2007Fnl.pdf Sustainable Energy Ireland (SEI), 2009a.

Price, Lynn

2010-01-01T23:59:59.000Z

237

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

Tracking Industrial Energy Efficiency and CO2 Emissions.and L. Price. 1999. Energy Efficiency and Carbon DioxideGalitsky. 2004. Energy Efficiency Improvement Opportunities

Sathaye, J.

2011-01-01T23:59:59.000Z

238

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

Report submitted to California Energy Commission, AprilDepartment of Energy, the California Energy Commission, andFuel Source Figure 9. California Energy Use in Industrial

Akbari, H.

2008-01-01T23:59:59.000Z

239

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

240

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 "industrial end-use sectors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Table 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

242

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

243

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

244

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

245

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....

246

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....

247

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...

248

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...

249

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...

250

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...

251

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...

252

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...

253

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....

254

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 ...

255

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....

256

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...

257

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...

258

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...

259

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....

260

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...

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


261

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...

262

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...

263

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...

264

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...

265

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...

266

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,...

267

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...

268

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...

269

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...

270

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...

271

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...

272

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...

273

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...

274

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...

275

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...

276

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...

277

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...

278

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,...

279

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,...

280

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...

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


281

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...

282

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...

283

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...

284

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...

285

A $70/tCO2 greenhouse gas mitigation backstop for China’s industrial and electric power sectors: insights from a comprehensive CCS cost curve  

Science Conference Proceedings (OSTI)

As one of the world's fastest growing economies with abundant coal reserves, China's carbon dioxide (CO2) emissions have doubled in the last decade and are expected to continue growing for the foreseeable future. While the Central Government has been promoting development and growth of cleaner and more efficient energy systems, efforts to reduce carbon emissions from the heavily coal-based economy may require continued and increased development and deployment of carbon dioxide capture and storage (CCS) technologies. This paper presents the first detailed, national-scale assessment of CCS potential across the diverse geographic, geologic, and industrial landscape of China, through the lens of an integrated CCS cost curve. It summarizes the development of a cost curve representing the full chain of components necessary for the capture and geologic storage of CO2 from China's power generation and industrial sectors. Individual component cost estimates are described, along with the optimized source-sink matching of over 1,600 large stationary CO2 sources and 2300 gigatons of CO2 storage capacity within 90 major deep geologic onshore sedimentary sub-basins, to develop a cost curve incorporating CO2 capture, compression, transport, and storage. Results suggest that CCS can provide an important greenhouse gas mitigation option for most regions and industrial sectors in China, able to store more than 80% of emissions from these large CO2 sources (2900 million tons of CO2 annually) at costs less than $70/tCO2 for perhaps a century or more.

Dahowski, Robert T.; Davidson, Casie L.; Li, Xiaochun; Wei, Ning

2012-08-27T23:59:59.000Z

286

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

industrial facilities use boilers and/or furnaces that burnare: 1) space heat, 2) hot water, 3) boiler for building-heat, 4) boiler for process 5) direct process heat, 6)

Akbari, H.

2008-01-01T23:59:59.000Z

287

Sector trends and driving forces of global energy use and greenhouse gas emissions: focus in industry and buildings  

E-Print Network (OSTI)

Energy Intensity in the Iron and Steel Industry: A Comparison of Physical and Economic Indicators”,energy and carbon intensity are evaluated. We show that macro-economic indicators,

Price, Lynn; Worrell, Ernst; Khrushch, Marta

1999-01-01T23:59:59.000Z

288

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

Reports of Energy Utilization Audit (EUA) from PG&E, madeincluded in PG&E's Energy Utilization Audits (EUA), 67% ofWORK WITH THE PG&E ENERGY UTILIZATION AUDIT (EUA) INDUSTRIAL

Akbari, H.

2008-01-01T23:59:59.000Z

289

Industry  

E-Print Network (OSTI)

the paper, glass or ceramics industry) making it difficulttechnology in the ceramic manufacturing industry. industries: iron and steel, non-ferrous metals, chemicals (including fertilisers), petroleum refining, minerals (cement, lime, glass and ceramics) and

Bernstein, Lenny

2008-01-01T23:59:59.000Z

290

Industry  

E-Print Network (OSTI)

in the iron and steel industry: a global model. Energy, 30,report of the world steel industry 2005. International Irontrends in the iron and steel industry. Energy Policy, 30,

Bernstein, Lenny

2008-01-01T23:59:59.000Z

291

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)

292

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)

293

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)

294

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

295

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

trends in the iron and steel industry” Energy Policy 30 (user is the iron and steel industry representing almost halfTable 9). The Indian steel industry is slowly shifting from

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

296

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

297

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

298

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

299

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

300

,"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...

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


301

,"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...

302

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

303

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

304

Published by Oak Ridge National Laboratory No. 1 2010 The industrial sector accounts for nearly one-third of the  

E-Print Network (OSTI)

in the production of batteries for elec- tric vehicles?" To help make American battery manufacturers more com-third of the U.S. economy and nearly one-quarter of the products of global manufacturing. Industry drives the U of technologies with interested manufacturers to ensure world-class technology and products. The technologies

305

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

306

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

307

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

308

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

309

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

310

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....

311

Industry  

E-Print Network (OSTI)

and power in US industry. Energy Policy, 29, pp. 1243-1254.Paris. IEA, 2004: Energy Policies of IEA Countries: Finlandand steel industry. Energy Policy, 30, pp. 827-838. Kim, Y.

Bernstein, Lenny

2008-01-01T23:59:59.000Z

312

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

313

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

314

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)

315

The DOE s In-Plant Training (INPLT) Model to Promote Energy Efficiency in the Industrial Sector  

SciTech Connect

In-Plant Training (INPLT) is a new model for developing energy efficiency expertise within the US manufacturing companies participating in the U.S. Department of Energy s (DOE s) Better Buildings, Better Plants Program-a nationwide initiative to drive a 25% reduction in industrial energy intensity in 10 years. INPLTs are designed to fill a market niche by providing hands on training in a real world manufacturing plant environment. Through INPLTs, participants from multiple manufacturing plants, supply chains, utilities, and other external stakeholders learn how to conduct energy assessments, use energy analysis tools to analyze energy saving opportunities, develop energy management systems, and implement energy savings projects. Typical INPLT events are led by DOE-certified Energy Experts and range from 2-4 days. Topics discussed include: identification of cross-cutting or system specific opportunities; introduction to ISO 50001 Energy Management Systems; and energy project implementation and replication. This model is flexible, and can be tailored to suit the needs of specific industries. The INPLTs are a significant departure from the traditional single plant energy assessment model previously employed by DOE. INPLTs shift the focus from the concept of a single-plant s energy profile to a broader focus on training and capacity building among multiple industrial participants. The objective is to enable trainees to identify, quantify, implement and replicate future energy saving projects without continued external assistance. This paper discusses the INPLT model and highlights some of the initial outcomes from the successfully delivered INPLTs and the overall impact in terms of numbers of plants/participants trained, impacted energy footprints, and potential replication of identified opportunities.

Alkadi, Nasr E [ORNL; Nimbalkar, Sachin U [ORNL; De Fontaine, Mr. Andre [United States Department of Energy (DOE), Industrial Technology Program; Schoeneborn, Fred C [ORNL

2013-01-01T23:59:59.000Z

316

Preliminary energy sector assessments of Jamaica. Volume III: renewable energy. Part I: solar energy - commercial and industrial  

SciTech Connect

This study concerns commercial and industrial solar applications, specifically solar water heating and solar air cooling. The study finds that solar domestic water heating and boiler make-up water preheating are technically feasible and, depending on the displaced energy source (electrical or various fuel types), economically justified; and that solar hot water installations could displace the equivalent of 189,842 barrels of fuel oil per year. However, solar cooling requires high performance collectors not currently manufactured in Jamaica, and feasibility studies indicate that solar cooling in the near term is not economically justified.

1980-01-01T23:59:59.000Z

317

Incentives to Accelerate the Penetration of Electricity in the Industrial Sector by Promoting New Technologies: A French Experiment  

E-Print Network (OSTI)

A major problem encountered when trying to speed up electrification of French industry has been 'hot to finance, at end-user's level, investments related to such a change of technology'. Government incentives, the aims of which are to help saving energy and reducing oil imports, are a partial solution; something more has been done by E.D.F. with the help of bankers, consultants, engineers, and manufacturers. But it will take a lot of months before being sure it fulfills the purpose in view.

Bouchet, J.; Froehlich, R.

1983-01-01T23:59:59.000Z

318

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

319

Case Study of the California Cement Industry  

E-Print Network (OSTI)

2 compares cement industry electricity and natural gas useTable 2. Cement Industry Electricity and Natural GasFigure 2. Cement Industry End Use Electricity Consumption

Coito, Fred; Powell, Frank; Worrell, Ernst; Price, Lynn; Friedmann, Rafael

2005-01-01T23:59:59.000Z

320

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

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


321

Industry  

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

in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and...

322

Greenhouse Gas Emission Reduction in the ENERGY STAR Commercial, Industrial and Residential Sectors. An Example of How the Refinery Industry is Capitalizing on ENERGY STAR  

E-Print Network (OSTI)

In the past 10 years ENERGY STAR has developed a track record as a certification mark to hang buildings performance hat on. By implementing upgrade strategies and pursuing operations and maintenance issues simultaneously, ENERGY STAR has led the nation and many states to pursue greenhouse gas reduction initiatives using energy efficiency as a model program. In developing these partnerships with industry, states and local government, what has occurred is a variety of program approaches that works to accomplish strategically a reduction in emissions. Through its development, ENERGY STAR has become an integral player with many Green Buildings Program to help them carry the energy efficiency banner to higher levels of cooperation. What is occurring today is that more and more local programs are looking to green buildings as an approach to reducing problems they face in air pollution, water pollution, solid waste, needed infrastructure and better of resources needs and the growth of expensive utility infrastructures. EPA - Region 6's ENERGY STAR and Green Building Program assistance has led to some unique solutions and the beginning workups for the integrated expansion of effort to support State Implementation Plans in new innovative voluntary approaches to transform certain markets, similarly to those of energy efficient products. This presentation will be an overview of activity that is being spearheaded in Texas in the DFW and Houston metro areas in ENERGY STAR and Green Buildings. The voluntary programs impacts are reducing energy consumption, creating markets for renewables, reducing air polluting chemicals and reducing greenhouse gas emissions using verifiable approaches.

Patrick, K.

2008-01-01T23:59:59.000Z

323

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

324

Industry  

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

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

325

Industry  

E-Print Network (OSTI)

milling industry: An ENERGY STAR Guide for Energy and Plantcement mak- ing - An ENERGY STAR Guide for Energy and Plantre- fineries - An ENERGY STAR Guide for Energy and Plant

Bernstein, Lenny

2008-01-01T23:59:59.000Z

326

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

327

Industrial Sector Energy Conservation Programs in the People's Republic of China during the Seventh Five-Year Plan (1986-1990)  

E-Print Network (OSTI)

Subsector The iron and steel industry accounted for roughlyn importance, as in the steel industries in other countries.furnaces China's iron and steel industry uses approximately

Zhiping, L.

2010-01-01T23:59:59.000Z

328

Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector  

E-Print Network (OSTI)

1982. Energy and the Steel Industry, Brussels, Belgium:in the Canadian Steel Industry, Ottawa, Canada: CANMET.in the Iron and Steel Industry,” in: Proceedings 1997 ACEEE

Xu, T.T.

2011-01-01T23:59:59.000Z

329

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.

330

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

331

,"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"

332

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

333

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

334

North Dakota Natural Gas Consumption by End Use  

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

190 1989-2013 Commercial 1,686 1,742 1,169 505 333 296 1989-2013 Industrial 2,188 2,780 2,052 2,444 NA NA 2001-2013 Vehicle Fuel 0 0 0 0 0 0 2010-2013 Electric Power -- -- W W W --...

335

Rhode Island Natural Gas Consumption by End Use  

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

Commercial NA 1,695 1,177 433 NA 203 1989-2013 Industrial 792 738 NA NA NA NA 2001-2013 Vehicle Fuel 8 8 8 8 8 8 2010-2013 Electric Power 1,554 2,474 4,028 5,311 4,535 6,033...

336

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

337

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

338

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

339

End-Use Load Composition Estimation Using Smart Meter Data  

Science Conference Proceedings (OSTI)

The goal of this research project is to enhance methodologies used to compute the fraction of load components (that is, motor; constant impedance, constant current, and constant power (ZIP); and electronic) needed for power system simulations that are attributable to each load class (that is, residential, commercial, industrial, and agricultural) by using smart meter (advanced metering infrastructure [AMI]) data. The load component percentages obtained should be appropriate for an overall component-based...

2010-12-31T23:59:59.000Z

340

Industrial Sector Energy Conservation Programs in the People's Republic of China during the Seventh Five-Year Plan (1986-1990)  

E-Print Network (OSTI)

Industries Industry Bricks Cement Lime Plate Glass CeramicsIndustry furnaces for household glass, enamel, and ceramicsindustry waste heat from blast furnaces is used to dry primary ceramic and

Zhiping, L.

2010-01-01T23:59:59.000Z

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


341

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

342

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

343

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

344

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)

345

Demand Response-Ready End-Use Devices: Guiding Principles for Defining Criteria to Support Grid Needs  

Science Conference Proceedings (OSTI)

This report describes technology capabilities that support more automated and ubiquitous demand response. It reviews the Demand Response–Ready (DR-Ready) concept and related industry activities that support realization of the concept. In the DR-Ready vision, consumers receive DR-Ready end-use products at the point of purchase, thus eliminating the need for utility truck service visits to retrofit equipment, and thereby significantly reducing the cost of deploying DR-enabling ...

2013-12-21T23:59:59.000Z

346

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

347

Power Politics: The Political Economy of Russia's Electricity Sector Liberalization  

E-Print Network (OSTI)

Private Participation in the Electricity Sector World BankTelecommunications and Electricity Sectors." Governance 19,Power Struggle: Reforming the Electricity Industry." In The

Wenle, Susanne Alice

2010-01-01T23:59:59.000Z

348

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

349

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

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

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

350

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

351

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?

352

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

353

" 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)"

354

" 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"

355

" 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)"

356

" 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"

357

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

358

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.

359

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...

360

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

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


361

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

362

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

363

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

364

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

365

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

366

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

367

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

368

Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector  

E-Print Network (OSTI)

Leonhard (eds. ), Energy Efficiency Improvements in ElectricC. Moore, 1997. “Energy Efficiency and Advanced TechnologiesSummer Study on Energy Efficiency in Industry, Washington,

Xu, T.T.

2011-01-01T23:59:59.000Z

369

Evaluation of the supply chain of key industrial sectors and its impact on the electricity demand for a regional distribution company.  

E-Print Network (OSTI)

??Considering the international scenario, in a recent past, the electrical industry was based on the concepts of monopolistic concessions and vertical utilities structures. In Brazil,… (more)

Mariotoni, Thiago Arruda

2008-01-01T23:59:59.000Z

370

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)

371

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

372

A New, Stochastic, Energy Model of the U.S. is Under Construction: SEDS and Its Industrial Structure  

E-Print Network (OSTI)

"A new energy model for the United States is currently being constructed by staff at five National Laboratories for the Office of Energy Efficiency and Renewable Energy at the Department of Energy. This new model, SEDS (Stochastic Energy Deployment Model), is designed to test the impact of DOE R&D on energy use in the economy. The “stochastic” part of this model will also allow examination of the risks associated with sudden oil shocks, imposition of carbon taxes or trading schemes, and other shocks to the energy economy. SEDS is organized by supply-side and demand-side sectors. The supply-side sectors include electricity, liquid fuels, natural gas, coal, and various renewable energy options. On the demand side, there are the usual suspects: industry, commercial buildings, residential buildings, and two transport sectors, light-duty vehicles and heavy-duty vehicles. The industrial sector is currently modeled as a single sector, using the latest Manufacturing Energy Consumption Survey (MECS) to calibrate energy consumption to end-use energy categories: boilers, process heating, electro-chemical processes, and other process requirements. As with the CIMS model, these process requirements have ancillary requirements – conveyance, motor drive, pumps, fans, and compressors – that all require certain classes of motors. Lighting and HVAC are considered separately from process requirements. The current version of SEDS, called SEDS-Lite, has technology detail in many sectors, but these are quite simple. The intent is to add detail over time: this year, we expect to add a pulp and paper sector and a iron and steel sector, pull these and petroleum refining out of the aggregate industrial sector, and add the non-manufacturing industrial component to the model. In future years, we expect the industrial detail to replicate CIMS. Our simulations with the industrial sector of SEDS-Lite will show how closely it tracks the NEMS forecasts. Other simulations will demonstrate how the stochastic component can be used to show industry"

Roop, J. M.

2009-05-01T23:59:59.000Z

373

Workshop Proceedings of the Industrial Building Energy Use  

E-Print Network (OSTI)

Industrial Data Base? PURCHASED, SITE, IDENTIFIED ENERGY END USES PG&EEUA DATABASE ELECTRICITY LIGHTING AIR CONDITIONING REFRIGERATION

Akbari, H.

2008-01-01T23:59:59.000Z

374

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

375

" 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)"

376

" 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"

377

" 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"

378

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

379

" 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)"

380

California Industrial Energy Efficiency Potential  

E-Print Network (OSTI)

The Potential for Energy Efficiency. Prepared for The EnergyIndustrial Sector Energy Efficiency Potential Study - DraftIndustrial Energy Efficiency Market Characterization Study.

Coito, Fred; Worrell, Ernst; Price, Lynn; Masanet, Eric; Rafael Friedmann; Rufo, Mike

2005-01-01T23:59:59.000Z

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


381

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)

382

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

383

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:

384

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)

385

Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector  

E-Print Network (OSTI)

energy savings with discounts rates 10%, 20% and 30% in the U.S. iron and steel industryenergy savings with discounts rates 10%, 20% and 30% in the U.S. iron and steel industry.

Xu, T.T.

2011-01-01T23:59:59.000Z

386

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

387

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

388

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

389

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

390

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

391

Capital requirements for energy sector: capital market access. The shift to successful efforts accounting: preliminary review of probable effects on oil and gas industry participants  

SciTech Connect

This report provides an initial assessment of the effects that the adoption of uniform successful efforts accounting might have on access to capital markets and investment behavior in the oil and gas industry. It also proposes a plan of interviews and analysis which would permit informed revision and expansion of that initial assessment. Section II presents a discussion of the origins and current status of the controversy between advocates of successful efforts and full cost accounting. An important underpinning of the argument in favor of uniform successful efforts accounting is the premise that all industry participants are fundamentally comparable and, thus, should be subject to uniform accounting treatment. Section III questions this premise by examining the various classes of industry participants. Section IV presents data on the roles of those classes of industry participants, paying particular attention to the importance of the independents in the exploration phase of the business. Section V discusses the effects which a shift to uniform successful efforts accounting might have on the various industry participants. A discussion of our initial conclusions are presented in Section VI. Section VII reviews a plan of interviews and analysis which would permit a more informed evaluation of policy options. Finally, Section VIII presents a series of policy alternatives.

Bennett, V.

1978-02-01T23:59:59.000Z

392

OpenEI - Industrial  

Open Energy Info (EERE)

renewable energy consumption (in quadrillion btu) for electricity generation in the United States by energy use sector (commercial, industrial and electric power) and by...

393

Prioritizing Climate Change Mitigation Alternatives: Comparing Transportation Technologies to Options in Other Sectors  

E-Print Network (OSTI)

in the agriculture sector. Electricity Industry Agriculture$2008/tonne CO2e) Electricity Industry Agriculture Buildingssector’s (i.e. , electricity, industry, etc. ) reference

Lutsey, Nicholas P.

2008-01-01T23:59:59.000Z

394

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

395

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

396

Advanced Industrial Materials (AIM) program. Compilation of project summaries and significant accomplishments FY 1996  

Science Conference Proceedings (OSTI)

In many ways, the Advanced Industrial Materials (AIM) Program underwent a major transformation in Fiscal Year 1995 and these changes have continued to the present. When the Program was established in 1990 as the Advanced Industrial Concepts (AIC) Materials Program, the mission was to conduct applied research and development to bring materials and processing technologies from the knowledge derived from basic research to the maturity required for the end use sectors for commercialization. In 1995, the Office of Industrial Technologies (OIT) made radical changes in structure and procedures. All technology development was directed toward the seven {open_quotes}Vision Industries{close_quotes} that use about 80% of industrial energy and generated about 90% of industrial wastes. These are: (1) Aluminum; (2) Chemical; (3) Forest Products; (4) Glass; (5) Metal Casting; (6) Refineries; and (7) Steel. This report is a compilation of project summaries and significant accomplishments on materials.

NONE

1997-04-01T23:59:59.000Z

397

,"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"

398

,"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"

399

Emerging energy-efficient technologies for industry  

E-Print Network (OSTI)

Market Information: Industries Iron and Steel SIC 331 End-use(s) Process heating Energyinformation on energy savings, economic, non-energy benefits, major market

2001-01-01T23:59:59.000Z

400

Emerging energy-efficient technologies for industry  

E-Print Network (OSTI)

Market Information: Industries Iron and Steel SIC 331 End-use(s) Process heating Energyinformation on energy savings, economic, non-energy benefits, major market

2004-01-01T23:59:59.000Z

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


401

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

402

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

403

,"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"...

404

"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...

405

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

406

"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...

407

,"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"...

408

"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...

409

"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...

410

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

411

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

412

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

413

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

414

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.

415

Industrial sector energy conservation programs in the People`s Republic of China during the seventh five-year plan (1986--1990)  

Science Conference Proceedings (OSTI)

The impetus at the national level to invest in energy conservation is quite strong and has long been reflected not only in official pronouncements, but also in the investments and organizational activities of the Chinese government. In the early 1980s the central government began a program of direct investments in industrial energy conservation that continues to the present. In addition, concurrently established governmental and quasi-governmental agencies have pursued conservation through administrative and educational measures. In Section 2 of this paper the authors outline the policies and institutions that supported China`s program of energy conservation investments in the Sixth and Seventh Five-Year Plans (FYPs) (1981--1985 and 1986--1990). In Section 3 they describe examples of the types of conservation projects pursued in four industrial subsectors: ferrous metals manufacturing; non-ferrous metals mining and manufacturing; chemicals manufacturing; and building materials manufacturing. Section 4 presents a simple methodology for comparing the costs of energy conservation to those of energy supply. Further discussion points out the applicability and limitations of this methodology to State Planning Commission published statistical material on the overall results of energy conservation investments. Though problematic, such analysis indicates that energy conservation investments were probably substantially cheaper than investments in equivalent energy supply would have been. They end with a discussion of some of the difficulties encountered in carrying out the conservation investment programs.

Liu Zhiping [State Planning Commission, Beijing (China). Energy Research Inst.; Sinton, J.E.; Yang Fuqiang; Levine, M.D.; Ting, M.K. [Lawrence Berkeley Lab., CA (United States)

1994-09-01T23:59:59.000Z

416

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

417

Advanced Industrial Materials (AIM) Program: Annual progress report FY 1995  

Science Conference Proceedings (OSTI)

In many ways, the Advanced Industrial Materials (AIM) Program underwent a major transformation in Fiscal Year 1995 and these changes have continued to the present. When the Program was established in 1990 as the Advanced Industrial Concepts (AIC) Materials Program, the mission was to conduct applied research and development to bring materials and processing technologies from the knowledge derived from basic research to the maturity required for the end use sectors for commercialization. In 1995, the Office of Industrial Technologies (OIT) made radical changes in structure and procedures. All technology development was directed toward the seven ``Vision Industries`` that use about 80% of industrial energy and generated about 90% of industrial wastes. The mission of AIM has, therefore, changed to ``Support development and commercialization of new or improved materials to improve productivity, product quality, and energy efficiency in the major process industries.`` Though AIM remains essentially a National Laboratory Program, it is essential that each project have industrial partners, including suppliers to, and customers of, the seven industries. Now, well into FY 1996, the transition is nearly complete and the AIM Program remains reasonably healthy and productive, thanks to the superb investigators and Laboratory Program Managers. This Annual Report for FY 1995 contains the technical details of some very remarkable work by the best materials scientists and engineers in the world. Areas covered here are: advanced metals and composites; advanced ceramics and composites; polymers and biobased materials; and new materials and processes.

NONE

1996-04-01T23:59:59.000Z

418

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

419

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

420

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

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


421

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

422

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, ...

423

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.

424

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.

425

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

426

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

427

Green Energy Industries Inc | Open Energy Information  

Open Energy Info (EERE)

Energy Industries Inc Jump to: navigation, search Name Green Energy Industries Inc Sector Marine and Hydrokinetic Website http:http:www.gecorpusa.co Region United States...

428

Kishimura Industry Co | Open Energy Information  

Open Energy Info (EERE)

Kishimura Industry Co Jump to: navigation, search Name Kishimura Industry Co Place Kanagawa-Ken, Japan Sector Solar, Vehicles Product Developer of solar power systems and...

429

Millennium Energy Industries | Open Energy Information  

Open Energy Info (EERE)

Industries Jump to: navigation, search Name Millennium Energy Industries Place Jordan Zip 1182 Sector Solar Product Jordan-based solar energy firm focused in MENA region....

430

California Solar Energy Industries Association | Open Energy...  

Open Energy Info (EERE)

Name California Solar Energy Industries Association Place Rio Vista, California Zip 94571 Sector Solar Product California Solar Energy Industries Association is a trade group...

431

Danish Wind Industry Association | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name Danish Wind Industry Association Place Copenhagen V, Denmark Zip DK-1552 Sector Wind energy Product The Danish Wind Industry Association (DWIA) is...

432

CRV industrial Ltda | Open Energy Information  

Open Energy Info (EERE)

CRV industrial Ltda Place Carmo do Rio Verde, Goias, Brazil Sector Biomass Product Ethanol and biomass energy producer References CRV industrial Ltda1 LinkedIn Connections...

433

The National Energy Modeling System: An Overview 1998 - Industrial...  

Gasoline and Diesel Fuel Update (EIA)

representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to electric...

434

Local Option - Industrial Facilities and Development Bonds |...  

Open Energy Info (EERE)

Sector Commercial, Industrial, Institutional, Local Government Eligible Technologies Boilers, Building Insulation, CaulkingWeather-stripping, Central Air conditioners, Chillers,...

435

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

436

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

437

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

438

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

E-Print Network (OSTI)

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

Yu Wang; Marilyn A. Brown; Yu Wang

2013-01-01T23:59:59.000Z

439

The Economic Development Potential of the Green Sector  

E-Print Network (OSTI)

large potential investment in Green firms. Bank of America’sof the Green industry requires substantial investment inand private investment in financing the Green sector. Key

Ong, Paul M.; Patraporn, Rita Varisa

2006-01-01T23:59:59.000Z

440

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network (OSTI)

of Labor Statistics. Energy Efficiency Services Sector:of Energy Engineers 2009a. “Energy Independence and MarketTrends: AEE Survey of the Energy Industry 2009. ” http://

Goldman, Charles

2010-01-01T23:59:59.000Z

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


441

Energy Efficiency Improvement and Cost Saving Opportunities for the Fruit and Vegetable Processing Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

on electricity and fuels, respectively, by industry sub-end use of electricity in the industry is refrigeration,purchasers of electricity in the industry are the frozen

Masanet, Eric

2008-01-01T23:59:59.000Z

442

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...

443

"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"

444

Shrenik Industries | Open Energy Information  

Open Energy Info (EERE)

India Zip 416 109 Sector Wind energy Product Maharashtra-based wind turbine tower manufacturer and subsidiary of the Sanjay Ghodawat Group of Industries. References...

445

Ventower Industries | Open Energy Information  

Open Energy Info (EERE)

Place Monroe, Michigan Zip 48161 Sector Wind energy Product Michigan-based wind turbine tower manufacturer. References Ventower Industries1 LinkedIn Connections CrunchBase...

446

Eolica Industrial | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name Eolica Industrial Place Sao Paulo, Sao Paulo, Brazil Zip 01020-901 Sector Wind energy Product Brazil based wind turbine steel towers and...

447

Industrial Relations | Argonne National Laboratory  

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

and introduce technologies to the private sector. How Industry Can Work with Argonne Argonne has many types of contractual agreements to meet the needs and interests of...

448

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

449

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

450

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

451

International industrial sector energy efficiency policies  

E-Print Network (OSTI)

and Opportunities,” Energy Policy 26(11): 859-872. Hall,1999. “Incentives in Energy Policy – A Comparison BetweenVoluntary Agreements in Energy Policy – Implementation and

Price, Lynn; Worrell, Ernst

2000-01-01T23:59:59.000Z

452

China's industrial sector in an international context  

E-Print Network (OSTI)

improvement and increasing refinery complexity. Data forenergy consumption in refineries accounted for roughly 8% (and expand capacity. Refinery capacity and production of

Price, Lynn; Worrell, Ernst; Martin, Nathan; Lehman, Bryan; Sinton, Jonathan

2000-01-01T23:59:59.000Z

453

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

454

Research Projects in Industrial Technology.  

Science Conference Proceedings (OSTI)

The purpose of this booklet is to briefly describe ongoing and completed projects being carried out by Bonneville Power Administration's (BPA) Industrial Technology Section. In the Pacific Northwest, the industrial sector is the largest of the four consuming sectors. It accounted for thirty-nine percent of the total firm demand in the region in 1987. It is not easy to asses the conservation potential in the industrial sector. Recognizing this, the Northwest Power Planning Council established an objective to gain information on the size, cost, and availability of the conservation resource in the industrial sector, as well as other sectors, in its 1986 Power Plan. Specifically, the Council recommended that BPA operate a research and development program in conjunction with industry to determine the potential costs and savings from efficiency improvements in industrial processes which apply to a wide array of industrial firms.'' The section, composed of multidisciplinary engineers, provides technical support to the Industrial Programs Branch by designing and carrying out research relating to energy conservation in the industrial sector. The projects contained in this booklet are arranged by sector --industrial, utility, and agricultural -- and, within each sector, chronologically from ongoing to completed, with those projects completed most recently falling first. For each project the following information is given: its objective approach, key findings, cost, and contact person. Completed projects also include the date of completion, a report title, and report number.

United States. Bonneville Power Administration. Industrial Technology Section.

1990-06-01T23:59:59.000Z

455

industrial | U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Perspectives: Industrial and transportation sectors lead energy use by sector. ... New EIA data show total grid-connected photovoltaic solar capacity. October ...

456

Analysis of ultimate energy consumption by sector in Islamic republic of Iran  

Science Conference Proceedings (OSTI)

Total ultimate energy consumption in Iran was 1033.32 MBOE in 2006, and increased at an average annual rate of 6% in 1996-2006. Household and commercial sector has been the main consumer sector (418.47 MBOE) and the fastest-growing sector (7.2%) that ... Keywords: Iran, agricultural sector, energy audits, energy consumption, industrial sector, residential and commercial sector, transportation sector

B. Farahmandpour; I. Nasseri; H. Houri Jafari

2008-02-01T23:59:59.000Z

457

Sector-Specific information infrastructure issues in the oil, gas, and petrochemical sector  

Science Conference Proceedings (OSTI)

In this chapter we have discussed vulnerabilities and mitigating actions to improve safety, security and continuity of the information and process infrastructure used in the oil, gas and petrochemical sector. An accident in the oil and gas industry can ...

Stig O. Johnsen; Andreas Aas; Ying Qian

2012-01-01T23:59:59.000Z

458

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

459

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

460

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

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


461

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

Gasoline and Diesel Fuel Update (EIA)

Market Trends - Industrial sector energy demand Market Trends - Industrial sector energy demand Growth in industrial energy consumption is slower than growth in shipments figure data Despite a 76-percent increase in industrial shipments, industrial delivered energy consumption increases by only 19 percent from 2011 to 2040 in the AEO2013 Reference case. The continued decline in energy intensity of the industrial sector is explained in part by a shift in the share of shipments from energy-intensive manufacturing industries (bulk chemicals, petroleum refineries, paper products, iron and steel, food products, aluminum, cement and lime, and glass) to other, less energy-intensive industries, such as plastics, computers, and transportation equipment. Also, the decline in energy intensity for the less energy-intensive industries is almost twice

462

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

Gasoline and Diesel Fuel Update (EIA)

Industrial sector energy demand Industrial sector energy demand Growth in industrial energy consumption is slower than growth in shipments figure data Despite a 76-percent increase in industrial shipments, industrial delivered energy consumption increases by only 19 percent from 2011 to 2040 in the AEO2013 Reference case. The continued decline in energy intensity of the industrial sector is explained in part by a shift in the share of shipments from energy-intensive manufacturing industries (bulk chemicals, petroleum refineries, paper products, iron and steel, food products, aluminum, cement and lime, and glass) to other, less energy-intensive industries, such as plastics, computers, and transportation equipment. Also, the decline in energy intensity for the less energy-intensive industries is almost twice

463

Evolution of the U.S. Energy Service Company Industry: Market Size and Project Performance from 1990-2008  

E-Print Network (OSTI)

and end-use sector energy prices to projects using marketproject costs and energy prices across time to account forinvolve escalating future energy prices. Because practices

Goldman, Charles A.

2013-01-01T23:59:59.000Z

464

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

465

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

466

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

467

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

468

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

469

Improving the Contribution of Economic Models in Evaluating Industrial Energy Efficiency Improvements  

E-Print Network (OSTI)

Traditional representation of improved end-use efficiency in the manufacturing sector has tended to assume “a net cost” perspective. In other words, the assumption for many models is that any change within the energy end-use patterns must imply a cost without concomitant energy bill savings. This tends to significantly overstate the cost of new energy policies. Yes, the range of technologies available to satisfy end-use service demands does require (admittedly) a significant level of capital. But more often than not, there is a return on that investment; and that return on investment is typically overlooked in many of the standard economic policy models. This paper describes the differences between many of the conventional energy models now used for energy policy assessments compared to those which more properly reflect a trade-off between new capital investment and end-use energy savings – as both capital and energy are used to satisfy a specific industrial service demand. The paper builds on a discussion provided by Neal Elliott for approximating service demands within food products manufacturing (NAICS 311). It then shows how the proper treatment of investment flows may provide a different outcome for policy assessments than might be provided by the standard policy models.

Laitner, J. A.

2007-01-01T23:59:59.000Z

470

Advanced Industrial Materials (AIM) Program: Compilation of project summaries and significant accomplishments, FY 1995  

Science Conference Proceedings (OSTI)

In many ways, the Advanced Industrial Materials (AIM) Program underwent a major transformation in Fiscal Year 1995 and these changes have continued to the present. When the Program was established in 1990 as the Advanced Industrial Concepts (AIC) Materials Program, the mission was to conduct applied research and development to bring materials and processing technologies from the knowledge derived from basic research to the maturity required for the end use sectors for commercialization. In 1995, the Office of Industrial Technologies (OIT) made radical changes in structure and procedures. All technology development was directed toward the seven ``Vision Industries`` that use about 80% of industrial energy and generated about 90% of industrial wastes. The mission of AIM has, therefore, changed to ``Support development and commercialization of new or improved materials to improve productivity, product quality, and energy efficiency in the major process industries.`` Though AIM remains essentially a National Laboratory Program, it is essential that each project have industrial partners, including suppliers to, and customers of, the seven industries. Now, well into FY 1996, the transition is nearly complete and the AIM Program remains reasonably healthy and productive, thanks to the superb investigators and Laboratory Program Managers. This report contains the technical details of some very remarkable work by the best materials scientists and engineers in the world. Subject areas covered are: advanced metals and composites; advanced ceramics and composites; polymers and biobased materials; and new materials and processes.

NONE

1996-04-01T23:59:59.000Z

471

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

472

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

473

Public-Private Sector Media Partnerships  

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

Public-Private Sector Public-Private Sector Media Partnerships Stacy Hunt, Confluence Communications March 1, 2012 Who is the Building America Retrofit Alliance (BARA)? * One of 10 industry teams funded in part by the U.S. Department of Energy's Building America program * Multidisciplinary and focused on building performance, multimedia content and program development, and EE/RE outreach Why are media partnerships important to Building America? * Access to large, loyal, qualified existing audiences * Tried and true communications channels, strategies, and materials * Often strong editorial voices and/or industry leadership positions Media Case Study The Cool Energy House Media Case Study What's Useful to Remodelers?

474

The Paradox of Regulatory Development in China: The Case of the Electricity Industry  

E-Print Network (OSTI)

chanye (China‘s Electricity Industry at the Crossroad). ? InCapture in the Electricity Industry 2. Cross-Sectorals Telecoms and Electricity Industries. ? European Journal of

Tsai, Chung-min

2010-01-01T23:59:59.000Z

475

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

476

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

477

Industry Energy Efficiency Workshop - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Notes on the Energy Information Administration's summary session on Industry Sector Energy-Efficiency Workshop on March 5, 1996

478

Pages that link to "Industry" | Open Energy Information  

Open Energy Info (EERE)

Transport Sectors: Policy Drivers and International Trade Aspects ( links) Asia-Energy Efficiency Guide to Industry ( links) Supporting Entrepreneurs for...

479

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

480

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

SciTech Connect

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

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

1993-01-01T23:59:59.000Z

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


481

Number of Retail Customers by State by Sector, 1990-2012  

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

Number of Retail Customers by State by Sector, 1990-2012" Number of Retail Customers by State by Sector, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",275405,48790,1263,0,"NA",325458 2012,"AL","Total Electric Industry",2150977,357395,7168,0,"NA",2515540 2012,"AR","Total Electric Industry",1332154,181823,33926,2,"NA",1547905 2012,"AZ","Total Electric Industry",2585638,305250,7740,0,"NA",2898628 2012,"CA","Total Electric Industry",13101887,1834779,73805,12,"NA",15010483

482

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990  

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

Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",2160196,2875038,1381177,0,"NA",6416411 2012,"AL","Total Electric Industry",30632261,21799181,33751106,0,"NA",86182548 2012,"AR","Total Electric Industry",17909301,12102048,16847755,463,"NA",46859567 2012,"AZ","Total Electric Industry",32922970,29692256,12448117,0,"NA",75063343 2012,"CA","Total Electric Industry",90109995,121791536,46951714,684793,"NA",259538038

483

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

484

Energy Use in China: Sectoral Trends and Future Outlook  

SciTech Connect

This report provides a detailed, bottom-up analysis ofenergy consumption in China. It recalibrates official Chinese governmentstatistics by reallocating primary energy into categories more commonlyused in international comparisons. It also provides an analysis of trendsin sectoral energy consumption over the past decades. Finally, itassesses the future outlook for the critical period extending to 2020,based on assumptions of likely patterns of economic activity,availability of energy services, and energy intensities. The followingare some highlights of the study's findings: * A reallocation of sectorenergy consumption from the 2000 official Chinese government statisticsfinds that: * Buildings account for 25 percent of primary energy, insteadof 19 percent * Industry accounts for 61 percent of energy instead of 69percent * Industrial energy made a large and unexpected leap between2000-2005, growing by an astonishing 50 percent in the 3 years between2002 and 2005. * Energy consumption in the iron and steel industry was 40percent higher than predicted * Energy consumption in the cement industrywas 54 percent higher than predicted * Overall energy intensity in theindustrial sector grew between 2000 and 2003. This is largely due tointernal shifts towards the most energy-intensive sub-sectors, an effectwhich more than counterbalances the impact of efficiency increases. *Industry accounted for 63 percent of total primary energy consumption in2005 - it is expected to continue to dominate energy consumption through2020, dropping only to 60 percent by that year. * Even assuming thatgrowth rates in 2005-2020 will return to the levels of 2000-2003,industrial energy will grow from 42 EJ in 2005 to 72 EJ in 2020. * Thepercentage of transport energy used to carry passengers (instead offreight) will double from 37 percent to 52 percent between 2000 to 2020,.Much of this increase is due to private car ownership, which willincrease by a factor of 15 from 5.1 million in 2000 to 77 million in2020. * Residential appliance ownership will show signs of saturation inurban households. The increase in residential energy consumption will belargely driven by urbanization, since rural homes will continue to havelow consumption levels. In urban households, the size of appliances willincrease, but its effect will be moderated by efficiency improvements,partially driven by government standards. * Commercial energy increaseswill be driven both by increases in floor space and by increases inpenetration of major end uses such as heating and cooling. Theseincreases will be moderated somewhat, however, by technology changes,such as increased use of heat pumps. * China's Medium- and Long-TermDevelopment plan drafted by the central government and published in 2004calls for a quadrupling of GDP in the period from 2000-2020 with only adoubling in energy consumption during the same period. A bottom-upanalysis with likely efficiency improvements finds that energyconsumption will likely exceed the goal by 26.12 EJ, or 28 percent.Achievements of these goals will there fore require a more aggressivepolicy of encouraging energy efficiency.

Zhou, Nan; McNeil, Michael A.; Fridley, David; Lin, Jiang; Price,Lynn; de la Rue du Can, Stephane; Sathaye, Jayant; Levine, Mark

2007-10-04T23:59:59.000Z

485

Energy Use in China: Sectoral Trends and Future Outlook  

SciTech Connect

This report provides a detailed, bottom-up analysis ofenergy consumption in China. It recalibrates official Chinese governmentstatistics by reallocating primary energy into categories more commonlyused in international comparisons. It also provides an analysis of trendsin sectoral energy consumption over the past decades. Finally, itassesses the future outlook for the critical period extending to 2020,based on assumptions of likely patterns of economic activity,availability of energy services, and energy intensities. The followingare some highlights of the study's findings: * A reallocation of sectorenergy consumption from the 2000 official Chinese government statisticsfinds that: * Buildings account for 25 percent of primary energy, insteadof 19 percent * Industry accounts for 61 percent of energy instead of 69percent * Industrial energy made a large and unexpected leap between2000-2005, growing by an astonishing 50 percent in the 3 years between2002 and 2005. * Energy consumption in the iron and steel industry was 40percent higher than predicted * Energy consumption in the cement industrywas 54 percent higher than predicted * Overall energy intensity in theindustrial sector grew between 2000 and 2003. This is largely due tointernal shifts towards the most energy-intensive sub-sectors, an effectwhich more than counterbalances the impact of efficiency increases. *Industry accounted for 63 percent of total primary energy consumption in2005 - it is expected to continue to dominate energy consumption through2020, dropping only to 60 percent by that year. * Even assuming thatgrowth rates in 2005-2020 will return to the levels of 2000-2003,industrial energy will grow from 42 EJ in 2005 to 72 EJ in 2020. * Thepercentage of transport energy used to carry passengers (instead offreight) will double from 37 percent to 52 percent between 2000 to 2020,.Much of this increase is due to private car ownership, which willincrease by a factor of 15 from 5.1 million in 2000 to 77 million in2020. * Residential appliance ownership will show signs of saturation inurban households. The increase in residential energy consumption will belargely driven by urbanization, since rural homes will continue to havelow consumption levels. In urban households, the size of appliances willincrease, but its effect will be moderated by efficiency improvements,partially driven by government standards. * Commercial energy increaseswill be driven both by increases in floor space and by increases inpenetration of major end uses such as heating and cooling. Theseincreases will be moderated somewhat, however, by technology changes,such as increased use of heat pumps. * China's Medium- and Long-TermDevelopment plan drafted by the central government and published in 2004calls for a quadrupling of GDP in the period from 2000-2020 with only adoubling in energy consumption during the same period. A bottom-upanalysis with likely efficiency improvements finds that energyconsumption will likely exceed the goal by 26.12 EJ, or 28 percent.Achievements of these goals will there fore require a more aggressivepolicy of encouraging energy efficiency.

Zhou, Nan; McNeil, Michael A.; Fridley, David; Lin, Jiang; Price,Lynn; de la Rue du Can, Stephane; Sathaye, Jayant; Levine, Mark

2007-10-04T23:59:59.000Z

486

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

487

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

488

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

Gasoline and Diesel Fuel Update (EIA)

Industrial sector energy demand Industrial sector energy demand On This Page Heat and power energy... Industrial fuel mix changes... Iron and steel... Delivered energy use... Chemical industry use of fuels... Output growth for... Industrial and commercial... Heat and power energy consumption increases in manufacturing industries Despite a 54-percent increase in industrial shipments, industrial energy consumption increases by only 19 percent from 2009 to 2035 in the AEO2011 Reference case. Energy consumption growth is moderated by a shift in the mix of output, as growth in energy-intensive manufacturing output (aluminum, steel, bulk chemicals, paper, and refining) slows and growth in high-value (but less energy-intensive) industries, such as computers and transportation equipment, accelerates. figure data

489

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

490

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

491

NEMS industrial module documentation report  

SciTech Connect

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

1994-01-01T23:59:59.000Z

492

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. ...

493

Advanced Energy Industries Inc | Open Energy Information  

Open Energy Info (EERE)

Fort Collins, Colorado Zip 80525 Sector Solar Product US-based manufacturer of power conversion and control systems for the semiconductor and solar industries. The company also...

494

XH Industries Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Jump to: navigation, search Name XH Industries Inc Place Ilwaco, Washington, DC Zip 98624-9046 Sector Wind energy Product Washington-based repairer of wind power...

495

Longjitaihe Industry Group | Open Energy Information  

Open Energy Info (EERE)

Zip 7400 Sector Solar Product Chinese real estate developer foraying into solar PV projects. References Longjitaihe Industry Group1 LinkedIn Connections CrunchBase Profile No...

496

Climate VISION: Private Sector Initiatives: Electric Power  

Office of Scientific and Technical Information (OSTI)

Letters of Intent/Agreements Letters of Intent/Agreements The electric power sector participates in the Climate VISION program through the Electric Power Industry Climate Initiative (EPICI) and its Power Partners program, which is being developed in cooperation with the Department of Energy. The memberships of the seven organizations that comprise EPICI represent 100% of the power generators in the United States. Through individual commitments and collective actions, the power sector will strive to make meaningful contributions to the President's greenhouse gas intensity goal. EPICI members also support efforts to increase technology research, development and deployment that will help the power sector, and other sectors, achieve the President's goal. The seven organizations comprising EPICI are the American Public Power

497

Climate VISION: Private Sector Initiatives: Electric Power: Resources and  

Office of Scientific and Technical Information (OSTI)

Industry Associations Industry Associations Power Sector Programs/Initiatives Facilitating Organizations Other Resources Power Sector Programs/Initiatives To help achieve its Climate VISION commitment, the power sector has developed a series of programs and sector-wide initiatives. Power sector members are encouraged to participate in programs organized by their EPICI representative organization and join one of the sector-wide initiatives described below. PowerTree Carbon Company Through PowerTree Carbon Company, electric companies are partnering with government agencies and environmental groups to plant trees and restore natural ecosystems in Arkansas, Louisiana, and Mississippi. In addition to sequestering CO2 emissions, the PowerTree Carbon Company project will: create significant habitats for waterfowl, birds, and other native wildlife

498

Case Study Impact Evaluations of the Industrial Energy Savings Plan  

E-Print Network (OSTI)

This paper presents the results of a series of five case study impact evaluations of Energy Savings Plan (ESP) industrial energy efficiency projects funded by the Bonneville Power Administration (BPA) and Seattle City Light (City Light). These industrial sector evaluations are among the first in the Pacific Northwest to evaluate both energy and non-energy effects. The projects chosen for evaluation cover a wide range of industrial processes and end-uses. Each industrial setting, the efficiency measures installed and the processes affected are described in this paper. The report presents energy (kWh) and peak demand (kW) savings indexed to changes in production volume, an assessment of non-energy benefits to the participating customer, and cost-effectiveness analyses from four stakeholder perspectives. Levelized cost (expressed in cents per kWh) and benefit-cost ratios were calculated for each project, both including and excluding quantifiable energy non-energy benefits. A summary of conclusions and lessons learned is also provided. The evaluation team included Patrick Lilly of Regional Economic Research Inc., Paresh Parekh of Unicade Inc., D'Arcy Swanson of Pacific Sciences Inc., and Dennis Pearson at Seattle City Light.

Lilly, P.; Pearson, D.

1999-05-01T23:59:59.000Z